Avenger Logistics Named a Preferred Carrier by project44

Chattanooga, TN (May 14, 2025) – Avenger Logistics, a leading third-party logistics (3PL) firm and subsidiary of MODE Global, is honored to be considered a Preferred Carrier by project44, a select group representing less than 2% of the project44 network of more than 245,000 global carriers.

project44’s Preferred Carrier program recognizes carriers that go above and beyond to provide an exceptional supply chain visibility experience to their customers. To quantify that experience, project44 considers carriers who have demonstrated a commitment to achieving high tracking percentages across multiple loads, tracked shipment volume greater than 200 loads per year, high milestone completeness and API connectivity.

“We’re proud to be recognized as a Preferred Carrier in the project44 network,” said Mark Campbell, vice president of freight operations for Avenger Logistics. “Our teams strive to provide quality service to our customer base, including clear visibility to their shipments in order to make informed decisions about their supply chain. Our network regularly leverages new and innovative technology, including proprietary in-house tools, to continuously improve our offerings and the overall customer experience.”

“At project44, we understand the value that an exceptional carrier experience brings to an organization’s supply chain operations,” said Nick Douglas, senior director of product and head of network. “Thank you for consistently demonstrating best practices and providing high-quality data to your customers.”

To learn who made the list, visit project44’s website: https://www.project44.com/carriers/preferred-carrier-program/

About project44

As the connective tissue of global logistics, project44 empowers the world’s leading brands with real-time visibility. Having built the industry’s largest and most connected ecosystem, they provide visibility into over 1 billion shipments annually across 170+ countries and every mode of transport, from truckload and ocean to air and final mile. By transforming traditional supply chains into high-velocity networks through Movement by project44, they help businesses deliver value faster and smarter. To learn more, visit https://www.project44.com.

>> Listen to the episode on Spotify, Apple Podcasts, and others.

TRANSCRIPT:

DOUG: This year marks the 25th year of the Edelman Trust Barometer, but it’s also the fifth anniversary of the trust and health portion of that report. One of the people who’s the driving force behind it is joining me. Saramaya, what was one of the things that surprised you the most about the report?

SARAMAYA: Thanks, Doug, for having me. This year’s fifth annual Trust and Health Special Report from Edelman, we immediately were very surprised at one of the key findings, which was that 70% globally among our 16 countries and 16,000 respondents that 70% found at least one device of health claim to be true. This showed us that the divisiveness in health beliefs is not among the fringe population or fringe groups that many of us may often think or feel, and that it is actually very pervasive. And that was quite startling to us. And we saw that among age, we saw that among gender, and we saw that among education level as well for university or non-university.

DOUG: So, just to clarify for the audience, because I’m a believer that vaccines are a good thing, you didn’t consider that a divisive belief. It’s more of those who are on the other side of the more recent types of controversies. Can you talk a little bit about some of those subjects, examples of what you considered a divisive belief?

SARAMAYA: Absolutely. Our report really didn’t attempt to state whether popular claims or unpopular claims from a healthcare perspective were true or not, but what we really looked at was where the divisiveness perspective may exist on a spectrum. And so, some of those examples included if animal protein is healthier than plant-based protein or if childhood vaccinations are helpful or harmful, we looked at if acetaminophen during pregnancy would lead to autism or not. And so really looked across the 16 countries of where those perspectives are. And again, not trying to say you’re right, you’re wrong, you’re confused, or you’re confident, but really just assessing. And we saw that at least 70% believed in at least two or more of the six health claims that we assessed.

DOUG: I assume if you believe in stuff that would be highly questioned by seasoned medical experts, you might be less healthy in your life, but the people who did respond that they believed some of these newer claims, if you will describe themselves as healthy or pretty healthy compared to the other population. What’s behind that?

SARAMAYA: This year in particular, we saw over a ten point drop compared to the 2025 Edelman Trust Barometer Special Report: Trust and Health in confidence to make health decisions. So, the confidence to make a decision plummeted and continues to decline. Even if you feel healthy or characterize yourself as healthy and engaged in your health, you’re very at a loss of how to make those decisions. And so, we are seeing that the trust in various different groups, they’re listening to a lot of voices, whether they believe in two or more of the divisive claims or not, but especially that audience, that 70%. And so, they’re trusting a lot of different voices. They’re searching actively through AI, traditional search, social, friends and family, and their healthcare provider who is actually most trusted among all of those groups. They’re reading different types of news sources. They’re very educated and active in information, but what that is causing is information overload and huge abundance of content. And so, where that’s leaning is they’re not sure what to believe or what not. And it’s leaning towards this divisiveness of I’m not sure how to make a health decision, but I’m still feeling good, seeking out that information, finding these voices, and that there’s just widespread confusion that continues to happen. And it is even among any group, regardless of age, demographic, or education level.

DOUG: Yeah. So, if we put aside the possible societal impact of all of that for PR people, it would probably be a pretty good opportunity, because there’s a real need for those who are in the space to get that accurate information out and get their messages out. So, how do you approach it in this divisive environment of conflicting ideas about things that previously were accepted?

SARAMAYA: Great question Doug. I think there’s been so much shift in getting the story out to now opening up a conversation. And now for healthcare communicators in particular, and for providers, different types of community leaders, policymakers, and any of these voices, media included, it cannot be here’s what you should do. Here are the facts. Let me make it clear to you, audience. It has to be a conversation. It has to be guiding decision, not telling me what to decide. As soon as you tell me what to decide, I’m not listening. You know, it’s like a classic teenager, right? Don’t tell me what to do. I’m going to do the opposite.

DOUG: While you rip into teenagers. I think there might be people of all ages who show some of those same traits. Let’s not go after the teenagers on this one, but I would like to turn to another topic that’s affecting healthcare and actually phrase it in a way similar to the way you did the survey, instead of what about the horrors of AI? AI is a good thing. It’s a not good thing. It’s getting right information to people quicker. It might also be getting wrong information to them quicker, but we’re not passing judgment on what people believe. So, knowing that AI is out there, how important is it for organizations and their PR programs to be looking to be showing up in these large language models?

SARAMAYA: Yeah, I mean, we see that LLMs are going to contain an increasing amount of earned driven search, right? Earned driven content and GEO is going to it’s already changing what we’re seeing, experiencing, and counseling in our 2026 Trust and Health Special Report, we saw over 64% believe that fluent AI users, self-defined as fluency, believe that they can perform a basic medical procedure as well as a doctor, which is pretty alarming. I would not want someone doing a quick ChatGPT of how to give me stitches, an incision, or any other type of basic procedure, but the reason that there is such an alarming confidence in that is because of the access of information, and that when I turned to AI, it’s non-judgmental, it’s easy to understand. It’s giving me a follow up, a type of dialogue in that way. And so, as we continue to think about channel evolution and where AI comes into play for public relations professionals, we have to think about the audience even more, right? And that what they can use is easy to understand. It’s having a dialogue. Last year’s report, we saw an abundance of empathy really rise to audience demand. And now it’s not just empathy. It’s guiding with the nonjudgmental conversation, the guiding to decision, rather than just telling me what to do.

DOUG: It’s so interesting that doctors were the most trusted group. Even with all this divisiveness and doctors saying one thing, that you’ve got 70% of the people disagreeing with it. What’s the role of both utilizing doctors and communications and sort of all the changes that have so many doctors overwhelmed where they can’t really spend the time with the patients? How is that playing into the way you’re advising and counseling clients?

SARAMAYA: I felt a bit of relief when we saw that doctors were still the most trusted, because it felt to me that scientific validation is still there as an undertone for patients and communities, but just because it’s most trusted, it’s not always the first to follow that advice, to listen and do exactly what the doctor said. Because patients are walking into the doctor’s office already very informed, because they’ve gone to all of these different types of channels, voices, AI, and in-person with friends and family. And so, while doctors are most trusted about health decisions, what to do? I think that it means that doctors have to be sure they’re not only showing up as a doctor. Take a page from the AI playbook. Be sure that you are showing the empathy that you’re showing, the easy to understand and the conversational and accessible type of demeanor with patients, but know that they’re still turning to you and they’re still looking at you. And so, I think between doctors, scientists and some of these voices, credentialed or non-credentialed because there’s also creators and different types of voices, it’s ensuring that we stay consistent in what the message is first and foremost. And that you’re not telling someone what to do, you’re really brokering the conversation.

DOUG: Yeah, that’s a fascinating shift. And thank you so much for putting this report together. Any final thoughts before we wrap up?

SARAMAYA: Every year some of the information can feel like a downer because the world is a bit chaotic. And I think where I found hope and motivation as a communicator this year was thinking about audiences feeling empowered and excited about healthcare. And even if it’s chaotic and that working together within communities over a shared outcome, a shared goal. We can all agree that we all want to have clean water. How we get there may be different how I view it or you view it or you know, some other group, but really coming together for shared outcomes and shared goals, I think, is what society can benefit a lot of right now. And so, our 2026 Trust and Health Special Report from Edelman gave me a newfound motivation in that as well.

DOUG: Clearly, healthcare consumers are engaged, and hopefully the PR audience will be engaged in the great stuff, you would say. Thanks so much for being with us.

SARAMAYA: Thanks Doug for having me.

Autonomous DLP for modern environments

MIND® brings posture and prevention together in one powerful, AI-native, autonomous data loss prevention (DLP) platform. Built to outpace modern risk in this AI era by replacing patchwork tools and slow, manual triage with machine speed data security. Now you can have intelligent protection that adapts, acts and scales with you.

See MIND in action

Find sensitive data, fix data risks and stop data leaks

The current state of data security isn't working

Most data security tools were built for yesterday’s environments and force teams to rely on static policies, manual effort and blunt detection. As unstructured data explodes to 90% of everything created and GenAI apps are used by your employees, these tools fall behind and security teams remain overwhelmed.

The result? Companies suffer over 4 known data loss last events per year, most of which they didn’t see coming.

Sensitive data is scattered across SaaS, endpoints and emails, but security teams can’t easily find what matters

Sensitive files remain unlabeled because classification is slow, manual or nonexistent

Too many false positives and alert noise with no context to help triage and prioritize

Data exposure issues are a struggle to remediate due to manual work and complex handoffs

Static rules and brittle logic keep data security policies misaligned with actual business risk

When preventative controls finally act, they break workflows, disrupt the business and get turned off

Discovery and classification

To protect your data, you need to know where it is and what it means. MIND continuously and autonomously discovers and classifies unstructured data across your SaaS and GenAI apps, on-premise file shares, endpoints and emails, surfacing hidden risks in minutes.

MIND AI, our multi-layered classification engine, uses multiple proprietary AI models to understand your unique data to provide the most accurate data classification in the industry.

Detection and response

MIND autonomously analyzes billions of security signals and user behaviors, cutting through the noise to surface what actually matters. Each incident, whether related to exposure, exfiltration or insider threat, is scored by risk severity and enriched with deep context.

MIND then automates the next step: revoking access, deleting files, changing labels, alerting owners or engaging users, all with a full audit trail.

Policy management & prevention

Prevention should be proactive, not punitive. MIND automates both policy creation and enforcement, applying the right rules, in the right context, to the right data. These policies work seamlessly across data at rest and in motion, minimizing risk without disrupting the business.

MIND observes endpoint and user behavior and triggers smart, context-aware responses like block, coach or escalate, especially to secure the use of GenAI apps. Speed bumps guide users. Automation does the rest.

Secure data at rest and protect data in motion

MIND automates the full lifecycle of data security, from discovery to prevention, with minimal user input. It enforces real-time policies for data at rest and in motion that adapt to context and risk, stopping data leaks and reducing the need for manual intervention.

Data at rest

Classify unstructured files across all environments

Understand access, usage and business relevance

Prioritize data security issues based on real risk

Remediate early, before issues become incidents

Apply consistent policies that adapt to your business

Data in motion

Monitor data as it moves across apps, devices and users

Detect risky behavior in real time with full context

Enforce policies instantly to block, coach or monitor actions

Collaborate with users to resolve issues in the flow of work

Automate decisions and responses to minimize disruption

MIND maps with your most popular, unstructured data sources

Google Drive

OneDrive

Box

Teams

Slack

Okta

JumpCloud

GitHub

Salesforce

Sharepoint

Egnyte

Zendesk

Service Now

Workday

Asana

Intercom

Dropbox

Confluence

Jira

Notion

HiBob

Gitlab

ChatGPT

Copilot

Claude

Bing

Gemini

Perplexity

Glean

Cohere

Jasper

Windows

Mac

Linux

ChromeOS

Windows Server

NetApp

Nasuni

Azure

Hitachi

Dell

IBM

HP

Gmail

Microsoft Outlook

Microsoft Exchange

Simple and fast deployment

Why MIND is the smarter solution

Autonomous DLP

Protect your data and scale your program without scaling your team

AI analyst in the loop

MIND AI doesn’t just detect, it guides decisions and remediates risk

Built for unstructured data

Go far beyond keywords with contextual AI trained on your business

Risk-based prioritization

Stop chasing alerts by eliminating false positives so you can focus on what matters most

Modern coverage for a hybrid world

Cloud-native protection across every vector: SaaS, Cloud, GenAI, email, on-prem, wherever your sensitive data lives.

Collaborative remediation

Bring users into the loop to guide them to the correct data security action, or help them fix and learn from incidents

Discover and classify sensitive data wherever it lives

Gain a complete inventory of your data, users and activities across the business. Now you can see the content and context of your sensitive data and drastically reduce false positive alerts.

Sensitive data is everywhere

Sensitive data hides across SaaS apps, on-premise file shares, endpoints and email systems, making it hard to spot.

Many data security tools only focus on narrow areas, which leads to silos and leaves dangerous gaps where risks can grow.

Legacy RegEx, pattern matching and user tagging miss the full picture, causing incomplete views and excessive false positive alerts.

Each business has unique sensitive data that goes beyond common things like credit card or social security numbers.

Discover sensitive data with context

MIND continuously uncovers all of your data, users and activities across SaaS, on‑premise file shares, endpoints and emails. We shine light on blindspots for data at rest, delivering visibility and context that conventional DLP can’t match.

Deploy in minutes, see value fast

Cloud‑native MIND connects to your existing systems in minutes. You’ll get a living data catalog of resources, users, authorization, file activities and metadata so you have the clarity to assess and act on risk right away.

Multi‑layer AI classification engine

Go beyond pattern matching. MIND AI uses hundreds of tailored algorithms to accurately categorize file types. From agreements and source code to medical records and board minutes, MIND classifies the sensitive elements inside files, so you can trust your data catalog.

Precision classification at scale

MIND supports all the different file types across your organization, from images to archives, so nothing slips through the cracks. Every file is automatically classified with tags and user-based labels that fit your needs, saving you time and reducing frustration.

See the business meaning behind the data

MIND doesn’t just show you where sensitive data lives, it helps you understand its context and business significance. That insight powers smarter policies, stronger compliance and faster response.

MIND Receives Frost & Sullivan’s 2026 Global New Product Innovation Recognition for AI-Native Data Loss Prevention Leadership

Recognized for innovation in data loss prevention, MIND advances AI security and modern data protection to drive customer success and market leadership.

San Antonio, TX — March 11, 2026 — Frost & Sullivan is pleased to announce that MIND, the first-ever data security platform to enable stress-free Data Loss Prevention (DLP) and Insider Risk Management (IRM) programs, has been awarded the 2026 Global New Product Innovation Recognition in the DLP industry for its outstanding achievements in innovation, strategy execution, and customer impact. This recognition highlights MIND’s consistent leadership in driving measurable outcomes, strengthening its market position, and delivering customer-centric innovation in an evolving competitive landscape shaped by SaaS, hybrid work, Generative AI (GenAI), and agentic AI.

Frost & Sullivan evaluates companies through a rigorous benchmarking process across two core dimensions: strategy effectiveness and strategy execution. MIND excelled in both, demonstrating its ability to align strategic initiatives with market demand while executing them with efficiency, consistency, and scale. “For GenAI-related risks, MIND introduced new controls after observing that many enterprises allow employees to use GenAI tools to process sensitive data. As a result, MIND designed its policy management and enforcement to identify sensitive data exposure within GenAI workflows, provide visibility into user activity involving GenAI tools, enforce access to enterprise-approved GenAI applications only, and prevent sensitive data from being entered into prompts. These additions demonstrate how closely MIND aligns its roadmap with customer pain points, further reinforcing its reputation for rapid capability development,” said Daphne Dwiputriane, Research Analyst, Frost & Sullivan.

Guided by a long-term growth strategy focused on AI-native innovation, customer-centric product development, and strategic engagement with CISOs and design partners, MIND has shown its ability to adapt and lead in a rapidly evolving data security landscape. The company’s strategic agility and sustained investment in advanced data classification, endpoint protection, and GenAI risk mitigation have enabled it to scale effectively across global enterprise and mid-market segments.

Innovation remains central to MIND’s approach. Founded in 2023 and headquartered in Seattle, MIND was established to address persistent shortcomings in legacy DLP tools - namely alert fatigue, high false-positive rates, high resource intensity, and limited visibility into unstructured data across perimeter-less environments. Its unified data security platform integrates DLP and insider risk management (IRM) within a single architecture, ensuring that discovery, detection, and prevention decisions are powered by the same AI-driven classification layer.

At the core of the platform is MIND AI, a multilayered classification engine that combines standard techniques such as exact data matching (EDM), regular expression (RegEx) pattern matching, named entity recognition (NER), and optical character recognition (OCR) with proprietary statistical and predictive methods alongside more advanced methodologies like vector similarity, small language models (SLMs), and large language models (LLMs). This AI-native approach enables enterprises to accurately classify both known and novel sensitive data types, significantly reducing false positives while maintaining continuous protection across SaaS applications, endpoints, on-premise file shares, and email systems.

MIND’s recent endpoint innovations and GenAI-specific controls further demonstrate its commitment to modern data protection. The platform provides visibility into AI agents operating within SaaS environments, protects data used in locally installed applications and AI agents, prevents exfiltration to external devices, and tracks full data lineage. These capabilities empower security teams to manage data security risks holistically while reducing operational strain.

“The AI era is transforming how organizations create, move, and use data. That shift requires a fundamentally different approach to data protection,” said Eran Barak, Co-Founder and CEO at MIND. “At MIND, our goal has always been to help security teams move beyond reactive controls and toward intelligent, automated protection that keeps pace with modern environments. We are proud to receive this recognition from Frost & Sullivan and remain focused on helping organizations protect what matters most while enabling innovation.”

MIND’s unwavering commitment to customer experience further strengthens its position in the market. Its lightweight architecture enables rapid time-to-value, minimizing fine-tuning and reducing total cost of ownership. Customers report significantly lower alert volumes, near-zero false positives in certain deployments, and up to 80% reductions in time spent managing DLP programs. By consolidating DLP, IRM, endpoint protection,GenAI and agentic AI controls into a single platform, MIND helps enterprises streamline operations while enhancing data security resilience.

Frost & Sullivan commends MIND for setting a high standard in competitive strategy, execution, and market responsiveness. The company’s vision, innovation pipeline, and customer-first culture are shaping the future of Data Loss Prevention and driving tangible results at scale.

Each year, Frost & Sullivan presents the New Product Innovation to a company that demonstrates outstanding strategy development and implementation, resulting in measurable improvements in market share, customer satisfaction, and competitive positioning. It recognizes forward-thinking organizations that are reshaping their industries through innovation and growth excellence.

Frost & Sullivan Best Practices Recognition

Frost & Sullivan’s Best Practices Recognitions honor companies across regional and global markets that exhibit exceptional achievement and consistent excellence in areas such as leadership, technological innovation, customer experience, and strategic product development. Each recognition is the result of a rigorous analytical process in which Frost & Sullivan industry experts benchmark performance through comprehensive interviews, deep-dive analysis, and extensive secondary research. The goal is to identify true best-in-class organizations that are driving transformative growth and setting new industry standards.

See Frost & Sullivan’s 2026 New Product Innovation Global DLP report on MIND.

Contact us: Start the discussion.

Contact:

Ashley Shreve

E: ashley.weinkauf@frost.com

About MIND

MIND is on a mission to help organizations gain peace of mind and thrive in a digital world in this AI era by protecting their most sensitive data, mitigating data risks and preserving brand reputation. MIND is the first-ever data security platform to autonomously discover and classify sensitive data, fix data security issues and stop data leaks in one place, so organizations can put their data loss prevention and insider risk management programs on autopilot. We enable businesses to mind what really matters - their most sensitive data. Founded and led by cybersecurity veterans, MIND is based out of Seattle, WA. For more information, contact us at info@mind.io.

Media Contact for MIND:

Michelle Kearney

Hi-Touch PR

443-857-9468

kearney@hi-touchpr.com

Remediate data security issues before they become incidents

Remediation shouldn't be slow or stressful. With MIND®, you can detect, prioritize and resolve data security issues automatically without complexity.

The cost of broken remediation processes

Traditional DLP struggles to identify and remediate data exposure risks fast enough. Security teams constantly react to sensitive files shared improperly—externally or with anyone via link. Investigating each incident and manually fixing access wastes time, creates alert fatigue and drains resources better spent elsewhere.

Without an automated process, the manual steps to remediate exposures limit data security.

Sensitive data shared too broadly creates exposure risk and compliance gaps

Manual fixes delay response time and increase the risk of human error

Teams burn out chasing false positives and repetitive access reviews

Manual processes can’t keep up with the volume or urgency of today’s data

Streamlined remediation without the stress

Why this matters

Today’s security leaders are searching for ways to streamline data remediation. Why? Because traditional DLP tools generate too many false positives, rely on manual workflows and fail to prevent data leaks in real-time.

The stakes are high. Unclassified data, unprioritized alerts and unresolved risks cost time, trust and revenue.

Organizations face alert fatigue, a lack of visibility and outdated remediation workflows. Security teams waste hours chasing irrelevant data leak alerts instead of preventing actual risks. That's why companies today must have ways to automate data leak response, reduce false positives in DLP and employ real-time data remediation.

MIND is the context-aware, AI-powered solution for modern DLP and insider threat response. It brings clarity to chaos by automatically identifying and classifying risky data, then triggering smart, prioritized actions, all at machine speed. Whether your challenge is sensitive data in GenAI tools, SaaS apps or endpoints, MIND ensures data security doesn’t hold you back.

MIND helps you:

Streamline data remediation workflows

Automatically remediate sensitive data exposure

Prioritize data remediation based on risk

Reduce false positives in DLP

Prevent data leaks in real-time

Remediate smarter. Mind what matters.

Your Dependable Source for

Bridge Loans

Rapid Execution. Proven Performance.

Submit Loan Request Our Lending Parameters

A direct portfolio lender for commercial and residential real estate in California and nationwide

Bridge Loans

A Modern Lending Solution

Wilshire Quinn, headquartered in San Diego, California, is a portfolio bridge lender that provides rapid and reliable funding for borrowers who cannot risk potential delays associated with traditional banks and lending institutions.

Since 2004, Wilshire Quinn Capital Inc. has been a leader in the capital markets. In 2011, the firm launched the Wilshire Quinn Income Fund LLC, a portfolio lender that originates bridge loans secured by real estate located in California and nationwide, including specialized solutions such as 1031 exchange financing for investors seeking to defer capital gains taxes. Wilshire Quinn Capital serves as the Fund’s managing partner, actively working to provide fast funding for our borrowers and consistent returns for our investors.

Wilshire Quinn’s successful track record is closely linked to our disciplined underwriting approach. Our emphasis on in-house loan origination allows for a faster, more streamlined lending process. Wilshire Quinn has grown to become one of the premier bridge lenders in California.

Our customer base is fairly diverse; borrowers range from corporations looking for rehab financing, to individuals who are looking to purchase or refinance an investment property. Please click on the following to links to explore our lending parameters or submit a loan request.

Here’s What Our Borrowers Are Saying

A Proven San Diego Hard Money Lender, Lending Nationwide

Lending Process

At Wilshire Quinn, we control the lending process, which means fast answers and quick closings.

Whether it’s a purchase, refinance, cash-out, or renovation loan, our lending platform is transparent and fast.

For more information and to speak with a representative, click the button below.

Understanding Our Borrowers

We are a direct portfolio lender; we are not a loan broker. We know that time is of the essence for borrowers who may be seeking a bridge loan or private money loan, including those working with NNN lease lenders for income-generating commercial properties. Wilshire Quinn will work with you to fund your loan in a matter of days, not months like traditional lenders.

We have built a long and successful track record for funding loans quickly without the headache. Our systematic underwriting approach and customer-first mentality allows our borrowers to move forward on their real estate transactions with confidence.

Wilshire Quinn partners with borrowers, mortgage brokers, and traditional lenders to provide a simple funding source for commercial and non-owner occupied residential properties.

Broker Referral Program

We are a private money lender headquartered in San Diego, California. We typically fund loans for our clients in five to seven days, including projects that require multi-family home financing. This quick turnaround stems from our ability to make immediate lending decisions and originate loans in-house, resulting in a highly efficient underwriting process.

We fund a variety of bridge loans such as: Refinance, purchase, multiple property, rehab, 1031 exchange, partnership buyout, and more. We originate bridge loans ranging from $500,000 – $20,000,000. Wilshire Quinn works with commercial and investment residential buyers nationwide. Brokers feel confident knowing they will close more loans faster when they work with Wilshire Quinn.

What We Fund

Commercial

Residential

Rehab / Fix & Flip

Where We Lend

Wilshire Quinn is a nationwide private money lender with offices in San Diego, Los Angeles and San Francisco.

We finance bridge loans from coast to coast for commercial and investment residential real estate, including Parking Lot Loan solutions.

San Diego

Wilshire Quinn, an established San Diego hard money lender, is headquartered in downtown San Diego, where we have helped borrowers and brokers secure reliable financing solutions for a wide variety of real estate transactions. From multifamily to industrial properties, there is no shortage of investment opportunities in this city’s booming coastal market.

Los Angeles

Wilshire Quinn began in the L.A. area and opened its first office on Wilshire Boulevard in 2004. Since our inception, we have cultivated numerous relationships with a wide array of local business professionals and earned a reputation as a trusted lender across the county. We have a long history as a Los Angeles hard money lender and continue to finance bridge loans in the area.

San Francisco

Our Northern California office resides in San Francisco, the fourth-most populous city in the state and 13th-most populous in the nation. We continue to be a reliable San Francisco hard money lender and source of financing for investments in neighboring Silicon Valley and throughout the Bay Area.

Nationwide

While our main offices span the California coast, Wilshire Quinn finances real estate investments nationwide. We typically fund loans in metropolitan areas, with amounts ranging from $500,000 to $20 million. If you are looking to finance a non-owner occupied residential or commercial real estate investment quickly, fill out a loan application. We typically fund bridge loans within five to seven days.

Submit a loan application

Financing private money loans from $500,000 – $20,000,000.

Commercial and investment residential real estate nationwide.

MODE Global Collaborates with HappyRobot to Automate Critical Operations

DALLAS, TEXAS (February 9, 2026) – MODE Global, one of the nation’s largest non-asset logistics providers, and HappyRobot, AI-native logistics startup, announce a strategic collaboration to automate core freight operations, beginning with inbound carrier coverage and progressing to booking and tracking. The partnership brings together MODE’s scale and operational expertise with HappyRobot’s AI workforce and orchestration to improve speed-to-cover, reduce manual work and strengthen carrier experience across MODE’s network.

Leveraging Early Wins for Expansion

The partnership began by automating a critical, high-volume workflow – Inbound Carrier Sales – to gauge impact. Early success here across carrier vetting, lane pitching and negotiations set the foundation for the partnership to follow.

These early signs of success included increased speed to cover with first response times cut to zero and 100% answer rates. Carrier vetting, combining third-party integrations with proprietary classifications, ensures intense scrutiny on fraud detection. And finally, lane negotiations show foundations for improved margins.

Beyond this, the partnership was established on shared principles for new ways of working in the era of AI, and the collaboration required between operational leaders like MODE and technologists like HappyRobot to get there.

“Our collaboration with MODE Global has been incredibly insightful and rewarding. We’re proud to partner with a truly forward-thinking organization,” said HappyRobot CEO Pablo Palafox. “I’m excited for what we’ll build together in 2026 and beyond.”

Scaling Partnership Towards Further Autonomy

The next phases of partnership include robustifying existing workflows, expanding automation across all offices and deploying priority workflows such as outbound carrier sales and track and trace.

Perfecting inbound carrier sales means tighter integrations post proof of concept, which allow for more real-time data flow and expanded execution capabilities for AI workers to take on further autonomy, building on the trust gained during testing.

The two companies remain aligned on enabling the MODE team to do more, book more and double down on difference makers like customer relationships, exception handling and strategic decision making. In each workflow, AI autonomy covers standard flows, leaving more human time to solve the most critical challenges at hand.

A New Way of Operating

“We selected HappyRobot as a partner because of their robust technology, deep industry knowledge and engineering teams that accelerated our speed to value and unlocked untapped potential for our operations,” said MODE Global’s President and CEO, Lance Malesh.

Operating as an extension of the MODE Global team, HappyRobot is working side by side with technical and operations teams to deliver value fast while satisfying technical and compliance requirements.

This close collaboration allows the teams to iterate quickly toward a new operational model for MODE Global, where a comprehensive digital workforce ensures operations are executed efficiently at scale and leverages real-time data to provide strategic insight to their human counterparts.

With AI automating manual work and providing greater access to information and insight, the MODE team is able to double down on what makes them different.

ABOUT HAPPYROBOT

HappyRobot builds and orchestrates an AI workforce for enterprises across the real economy, automating critical, high coordination workflows across systems and communication channels to deliver true autonomy in an intelligent system that delivers outcomes and strategic intelligence.

>> If you want to register, and save money in the process, use discount code DSSIMON26 to take 10% off at https://www.prsa.org/conferences-and-awards/icon-2026.

Listen to the episode on Spotify, Apple Podcasts, and others.

TRANSCRIPT:

DOUG: So, in mid-October, even real baseball fans are going to have their interest divided from the championship series in each league to what’s happening at PRSA ICON. And here to tell us about why baseball fans might be distracted during this important time of their season, Matt, thanks for joining us.

MATT: Thanks, Doug. It’s great to be with you today.

DOUG: Yeah. So, what is the baseball scoop at PRSA ICON?

MATT: Yeah. Funny you asked. So, we are actually bringing Banana Ball to this year’s PRSA ICON in Orlando. We’re excited to kick off our opening general session with the Savannah Bananas head coach, Tyler Gillum. He’s going to be motivating our audience and talking about some great things related to how they’ve really grown as an organization and how it can relate to PR and comms.

DOUG: And they’ve become a phenomenon. Obviously, that’s one thing that’s different this year than in past. What are some other things that are different for people who are attending? Maybe even some attending for the first time.

MATT: Absolutely. So, one of the great things about ICON this year is that we’ve got something for everyone. So, every level of communicator from the C-suite at the CCO level all the way to our students who are engaged in the PRSSA community, we’ve got something for you and across all the industry verticals. So, whether you’re in finance, health, life sciences, we’ve got sessions that are really geared toward the challenges that those folks are facing. So, crisis management continues to be top of mind. Of course, everybody’s favorite topic, AI, and I know we’ll talk more about that. It’s going be all over the agenda this year. And we’ve got new learning formats. We’ve got new speakers. And then, also, one of the great things about ICON is you can find a lot of solutions to your challenges right there in our expo hall with so many great solutions providers that are bringing you, things that’ll help you in your day-to-day job. They’ve got a lot of new AI solutions, so you’ll find companies that are bringing new technologies that are in AI enabled. So, all those great things. And one of my favorite things is the connections that you’ll make at ICON. You’re going to meet so many people across the board that you’ll have conversations in the hallway, that you’ll make lifelong connections that are going to last through your career.

DOUG: Yeah. And it’s great business opportunities as well. Now I’ll give you a little break on this question so you don’t have to include my session on AI in the Newsroom in your answer, but what are some of the sessions you’re most excited about?

MATT: I’ll talk about two great panels. We’ve got one panel that is answering a question that’s on everybody’s mind, and that is, is AI going to kill the future of PR jobs? And that is going be moderated by Ray Day, our immediate past chair of PRSA. And we’ve got a couple great executive recruiters who are on that panel as well as the global president of research from The Harris Poll. So, there’s going be a lot of fantastic insights coming right out of that session. And then a second one, that’s, looks great is going to be 2026 communications trends, and that’s moderated by Thomas Bennett from FleishmanHillard. And on that panel, we’ve got Damon Jones from Procter & Gamble, and they’ll also be execs from Hilton Grand Vacations and Universal. So, you won’t want to miss those.

DOUG: When Damon and I both started our careers, I actually had a chance to work with him on what was in a video news release for Procter & Gamble. And he was great to work with then. It’s incredible what he’s done. And you talked about AI before. One of the keys is how can PR practitioners use AI to their benefit?

MATT: Absolutely. So, you know, for us one of the things I’ve been hearing from our members and folks on the road is that they’re tired of hearing about just about the theoretical of AI, what the possibilities are. They’re really at the point where, know, they’re leading their teams, and they want to be able to apply what’s happening today into action, right? And how am I going to manage the change management piece of AI? How am I looking at all of those things? So, our sessions are really going to dive into the tactical, the roll up your sleeves, how you can get it done, how you can start to work with your teams on implementing the technology no matter what phase you’re at. So, if you’re if it’s something you’ve just been talking about in the office or you’ve already implemented, you’re already working with one of the platforms, and you want to have a better understand how to leverage it to drive efficiency, drive creativity, we’ve got sessions that’ll dive into that. We’ve got over fifteen sessions that are going to talk about everything from generative AI to leveraging agents in ways that you haven’t thought about.

DOUG: What’s really interesting is AI, as each new technology does, gives a chance for younger PR practitioners to really vault ahead because there’s an expectation that they’ve been living it from the start instead of having to maybe change the ways they’re operating. So that’s a big opportunity. I understand there’s also some new ethical standards that PRSA has put together. What are some of the changes and things to be aware of? And, again, AI comes into play there.

MATT: Yeah. Thanks for asking, Doug. So, our board of ethics and professional standards for PRSA has been looking at this from the early onset. It’s actually a few years ago, we put together a piece called “Promise and Pitfalls” that talks about starting with ethics. Because for PRSA, the code of ethics is one of our differentiating factors, right? So, now fast forward several years, AI has been top of mind. We’ve now got this new ethical standards advisory that talks about specifically how do you weave in a couple things. Number one, what are the risks that I need to consider when I’m thinking about utilizing these AI agents? And so those are going to dive into everything from unclear authorship, manipulative persuasion, and simulated engagement. And then the next piece, what are the best practices? So, what are others doing out there that I can start to consider when I’m thinking about utilizing AI in an ethical way? And so that’s going to cover transparency, the importance of human oversight in dealing with these things, AI literacy, governance, how am I training my team across all of this, you know, and finally, security risks. Those are, of course, big things that every organization needs to look at.

DOUG: Yeah. Those are key topics. One change up question I’d ask that’s sort of the opposite. We always talk about what’s new, what’s different, and what’s changing. But there’s a lot that’s been a consistent thread through the history of what PRSA ICON brings. Could you maybe talk a little bit about the core values that have been part of it and are still continuing to bring value, especially during this time of such massive disruption?

MATT: Most definitely. So, you know, when you think about who our members are, you know, we develop leaders within the PRSA community. And so, when you think about leadership, especially in this day and age of AI, one of the things that’s so important to go back to is developing those soft skills as a leader. And so, you’re going to find, that we go back to that, especially at the student level. When students are coming into the workforce, one of the things we’re hearing is, you know, how am I going to get my first job when they’re cutting all these entry level positions, right? And so, one of those things I’ve been telling students that I hear from agency leaders and CCOs is you’ve gotta be able to differentiate yourself. And if you’re not mastering those core skills like writing and, you know, having the EQ that you need to deal with a complex workforce, you’re not going to be able to set yourself apart. So, you will find those things at PRSA ICON this year that go back to basics and are at the core of being a good storyteller and communicator.

DOUG: Yeah. And I think being up to speed on what’s new, I get a chance to be a guest lecturer each year at NYU’s graduate PR program, which is really meaningful. And, of course, two years ago, AI didn’t even come up in discussion. I asked the professor this year, is it okay if I talk about it? Because I think a reality is if you’re coming into the space, you’ve gotta be AI native. You have to understand it, have experience with it, and know how to practice it ethically to move you ahead or else there’s someone who will know that, that’s going to be able to advance more quickly than you. As we wrap it up, any guides, interest, information for people who are attending, how do you get the most of it? You know, one of my thoughts is like, hey, if you go to a session, when you go to a session, make sure you speak to at least one other person at every session to make a connection, whether it’s the speakers or someone in the audience, but I know you’ve got a bunch of recommendations for people to get the maximum value.

MATT: Yeah. That is such great advice. I would say it starts before you even get on the plane out to ICON. Start to plan ahead. We’ve got the program already out there. Just before the conference launches, we’ll have our Whova app that will take you through. You can find who’s attending. Connect beforehand, find folks who are in similar industries. They want to connect. And so, like you said, when you’re there on-site, that is the best advice you can give every session, introduce yourself to someone new. I know it can be uncomfortable sometimes, a little, you know, nerve wracking, but don’t be afraid.

When I left Microsoft to build MIND, I did so with a clear conviction that one of cybersecurity's biggest problems remained unsolved. Data loss prevention was fundamentally broken.

Traditional DLP had earned a reputation for being complicated to deploy, painful to operate and nearly impossible to scale. Security teams were buried under endless policies and false positives, while sensitive data continued to move beyond their visibility and control.

When I joined forces with my co-founders, Hod Bin Noon (VP R&D of MIND) and Itai Schwartz (CTO of MIND), dozens of conversations with security practitioners confirmed the scale and urgency of the challenge. Organizations didn’t need incremental improvements to legacy tools. They needed a fundamentally new approach to data security.

At the same time, AI was beginning to transform how organizations create, access and share information. It was clear to me that this new era would demand an entirely new security solution - one built for the speed, scale and complexity of an AI-driven world.

That realization became our vision: to reimagine data security from the ground up. Hod’s and Itai’s insight, talent and partnership have been instrumental in turning our shared vision into reality.

That vision, and the conviction behind it, became MIND.

One year ago, we announced our Series A. Today, I'm incredibly proud to announce that we have raised $72 million in Series B funding, led by Crosspoint Capital Partners and our existing investors YL Ventures and Paladin Capital Group. Combined with our Series A, that's more than $100 million raised in 12 months. This is an amazing milestone for our company, especially because it comes only one year after our Series A. But the funding itself is only part of the story.

The real story is everything our team and our customers have accomplished together in such a short time.

From an idea to protecting some of the world's leading organizations

When we started MIND, we believed organizations should not have to choose between protecting their most sensitive data and enabling their employees to move quickly.

We set out to build a complete, AI-native DLP platform that could discover and classify sensitive data, understand how it moves, identify real risks and stop data leaks, all without the complexity and operational burden of legacy tools.

In just one year since our Series A, MIND has been adopted by Fortune 500 companies and other leading organizations across a wide range of industries.

These organizations operate in very different environments, but they share the same fundamental challenge. Their most sensitive data is moving faster, across more systems and in more ways than ever before.

They also share our belief that traditional DLP is no longer enough.

Our customers took a chance on a young company because they saw what we saw, an opportunity to rebuild data security from the ground up for a completely new era.

Their trust means everything to us.

They have challenged us, pushed us and worked alongside us to build a platform that protects their most valuable information without slowing down their businesses. Every deployment and every problem we have solved together has made MIND better.

Data now moves at machine speed

AI is transforming every organization.

Employees are using GenAI applications to work faster. Autonomous agents are accessing and moving information on their behalf. Sensitive data now travels across SaaS applications, endpoints, email, cloud environments, on-premises systems, GenAI tools and AI agents at unprecedented speed.

The old model of data security, built around static policies, endless rules and analysts manually reviewing thousands of alerts, simply cannot keep up.

Data now moves at machine speed. Data security must do the same.

The pioneers of DLP join MIND

We are thrilled to welcome Crosspoint Capital Partners as the lead investor in this round. This partnership is particularly meaningful to us. The team behind Crosspoint helped lead iconic cybersecurity companies such as Blue Coat and Symantec, and includes some of the pioneers who created and defined the original DLP category.

Now, the people who helped build the first generation of DLP are partnering with MIND to reinvent it for the AI era.

Crosspoint understands the history of this market, the limitations of legacy technology and the scale of the transformation now taking place. Few investors have a deeper understanding of the problem we are solving or the opportunity ahead of us.

The best investors do much more than provide capital. They become true partners in the journey. Crosspoint shares our conviction that organizations need a complete, AI-native platform to protect their most sensitive data, as well as our ambition to build MIND into the defining data security company of the AI era.

What comes next

Seventy-two million dollars is a big number. But the number itself is not what matters most.

What matters is what it allows us to do next.

This investment gives us the resources to move faster, invest aggressively in our product and our people, expand globally and continue raising the bar for what customers should expect from data security.

We will accelerate our vision for autonomous data security and continue building the industry's most complete DLP platform, one that allows organizations to protect their most sensitive information wherever it lives or moves.

But with this opportunity come higher expectations.

We need to remain hungry. We need to keep moving with the urgency that brought us here, stay exceptionally close to our customers and continue attracting people who want to solve one of cybersecurity's most important challenges.

This milestone belongs to our team

Funding announcements tend to focus on investors, valuations and numbers. But what our investors are really backing is our people. What this team has accomplished in such a short time is remarkable. In the year since our Series A, this team has earned the trust of some of the largest companies in the world.

To every member of the MIND team: thank you for believing in our vision and bringing your talent, energy and determination to work every day. This milestone belongs to you.

To our customers and partners: thank you for trusting us with what matters most, your sensitive data. We will never take that responsibility for granted.

And to everyone considering joining us: we are still at the beginning of this journey. We're growing across the company and looking for exceptional people who want to help us reinvent data security for the AI era.

One year ago, we announced our Series A.

Today, MIND is protecting many of the world's leading organizations.

Tomorrow, we intend to redefine an entire category.

We always say, "Go big or go home."

We're going BIG.