When it comes to artificial intelligence, success depends on the quality of the data feeding the system. ProHawk AI, led by CEO Bob Brown, is redefining the field of computer vision by tackling this challenge head-on. Their patented pixel-level restoration technology doesn’t just clean up video streams — it restores lost detail in real time, enabling both humans and machines to see what sensors miss. With a mission to save lives and make the world safer, ProHawk AI is rapidly gaining recognition as a trusted partner to some of the world’s most influential technology leaders, including NVIDIA, Dell, and HPE.
In a recent conversation with Fabrice Bagniakana, AI Director for Europe at TD SYNNEX, Bob Brown shared ProHawk AI’s vision, its unique approach to computer vision, and the opportunities this technology is unlocking for partners and customers worldwide.
Fabrice Bagniakana: To start, could you introduce yourself and tell us about ProHawk AI’s mission and what makes your company unique in the AI landscape?
Bob Brown: Thank you, Fabrice. I’m Bob Brown, CEO of ProHawk AI.
At ProHawk AI, our mission is clear: ProHawk AI is dedicated to saving lives by making the world a better and safer place. We restore human and machine vision to its full potential. We’ve built a computer vision management system that restores and orchestrates video streams in real time, enabling AI to see what sensors miss. What makes us unique is our patented, pixel-level restoration algorithms—these don’t just clean up video, they fundamentally restore lost detail in ways no other technology can. We are now focused with our self-learning AI flywheel, ProHawk AI continuously improves itself with every deployment, driving mission-critical outcomes across industries.
Fabrice: Many in our audience may not be fully familiar with the term, could you explain in simple terms what computer vision is, and why it’s so important today?
Bob: Computer vision is essentially teaching machines to see and interpret the world the way people do—or in ProHawk AI’s case, even better. Think of it as giving eyes to AI systems so they can recognize patterns, detect objects, and make decisions. It’s critical today because everything from cars and planes to hospitals and factories rely on real-time video. But raw sensor feeds are imperfect—glare, fog, low light, or harsh weather obscure critical details. That’s where ProHawk AI comes in: we restore the video at the pixel level so AI models and humans alike can trust what they see.
Fabrice: What makes ProHawk AI’s technology different from other computer vision solutions?
Bob: What sets ProHawk AI apart is that we don’t start with detection—we start with restoration. Computers are fundamentally the same as they always have been, garbage data in ensures garbage results out. AI is no different, given poor video and image quality, Computer Vision with not perform up to the expected and required levels in the real world. Our patented algorithms operate at the pixel level, cleaning and restoring every frame in real time. This means AI isn’t trained on distorted, noisy, or incomplete data, but on the best possible visual input. Beyond restoration, we provide a full computer vision management system that orchestrates streams from the edge to the cloud, feeding into an autonomous, self-learning AI flywheel. That flywheel continuously improves performance by adapting to real-world noise patterns—whether that’s light, weather, or environmental conditions.
And what truly validates our uniqueness is how the ecosystem has embraced us. ProHawk AI is one of fewer than 15 Independent Software Vendors recognized as an NVIDIA Preferred Partner, we are a Dell Validated Design Solution within the Dell AI Factory with NVIDIA, and one of only four cornerstone partners in HPE’s Unleash AI program. These distinctions don’t just underscore our differentiation—they demonstrate the trust of the world’s most important technology leaders in ProHawk AI’s ability to deliver mission-critical AI vision at scale.
Fabrice: From your perspective, what are the key trends you’re seeing in computer vision AI across industries like security, healthcare, or transportation?
Bob: We’re seeing four big trends right now:
- Security and Safety – Organizations need trusted real-time video in challenging environments, and they’re moving toward AI-enabled solutions that improve operations and reduce risk.
- Transportation and Smart Cities – From rail to road to air, AI-driven systems depend on accurate vision for navigation and decision-making. Cities are investing in intelligent infrastructure where clarity and trust in video is essential.
- Manufacturing and Supply Chain Logistics – Industrial operations and logistics hubs increasingly rely on computer vision for automation, quality control, worker safety, and flow optimization. With ProHawk AI’s real-time restoration, cameras and AI systems in factories, ports, and warehouses can maintain accuracy under difficult lighting, dust, or motion-heavy conditions—helping industries run safer, faster, and more efficiently.
- Healthcare – Medical imaging systems are being transformed by AI, but success depends on crystal-clear input data. Restored vision directly improves diagnosis and treatment outcomes.
Fabrice: ProHawk AI recently started working with TD SYNNEX in Europe. Could you share what this collaboration means for your company and for partners in the ecosystem?
Bob: Our collaboration with TD SYNNEX is a game-changer. As NVIDIA’s number one global distributor, TD SYNNEX gives us reach across Europe and worldwide. This partnership means ProHawk AI is no longer a niche technology—it’s part of a validated ecosystem alongside NVIDIA, Dell, and HPE. For partners, this creates ready-made solution bundles and sales motions that make adoption straightforward, scalable, and profitable.
Equally important, ProHawk AI has been included in TD SYNNEX’s flagship Destination AI program, which is their primary global initiative to accelerate AI adoption across industries. We’re also part of Vision AI and Paths.AI, which are specialized programs designed to equip partners with the right training, go-to-market strategies, and technical support. Together, these programs ensure that our channel partners don’t just sell ProHawk AI —they succeed with it. For the ecosystem, that means faster deployments, stronger ROI for customers, and scalable, repeatable growth opportunities.
The Destination AI program is especially powerful because it connects the dots between innovation, enablement, and execution. For end users, it means faster access to proven AI solutions like ProHawk AI, backed by validated architectures and ecosystem support. They can adopt computer vision AI with confidence, knowing the technology is field-tested and integrated with leaders like NVIDIA, Dell, and HPE. For channel partners, Destination AI provides the training, resources, and go-to-market frameworks needed to shorten sales cycles and scale adoption. It transforms complex AI opportunities into structured solutions, making it easier for partners to deliver value and for customers to realize measurable outcomes.
Fabrice: Where do you see the biggest opportunities for channel partners to leverage ProHawk AI solutions?
Bob: The biggest opportunity for channel partners lies in positioning ProHawk AI as the foundational layer of any AI vision project. Whether it’s security, healthcare, manufacturing, or robotics, partners can leverage ProHawk AI to improve data quality, accelerate model accuracy, and deliver outcomes customers can trust. Because our solution is edge-to-cloud, partners can capture opportunities in small footprint Jetson deployments all the way up to hyperscale data center integrations.
Just as important, the real value for partners is in building ecosystem-integrated solutions. ProHawk AI fits seamlessly into NVIDIA, Dell, HPE, and TD SYNNEX frameworks, giving partners the ability to merchandise, package, and bundle solutions that solve end-user problems directly. This isn’t about selling point products—it’s about delivering outcomes. By emphasizing Return on Investment (ROI) for the customer—whether that’s reducing downtime in manufacturing, improving accuracy in healthcare, or increasing safety in transportation—partners can differentiate themselves, command higher margins, and build long-term trust with their clients.
Fabrice: Could you share a real-world example where ProHawk AI has made a meaningful impact
Bob: One recent example is in transportation. A rail operator was struggling with cameras blinded by glare, fog, and night conditions. With ProHawk AI, the restored video not only improved human monitoring but also boosted their AI detection accuracy dramatically. The result was fewer missed alerts, safer operations, and more trust in automation. Today, that work is extending into autonomous train proof-of-concepts (PoCs), where clear, reliable vision is critical for real-time decision-making.
We’re also seeing initial traction in perimeter protection for critical facilities, storage sites, and even launchpads, where the stakes are highest. These environments demand real-time clarity in all weather and lighting conditions, and ProHawk AI ensures that both human operators and AI systems have trusted visual input to detect, classify, and respond to potential threats.
Another important application is Foreign Object Detection (FOD) on airport runways. Small objects left behind after maintenance or operations can cause catastrophic damage to aircraft. ProHawk AI’s pixel-level restoration allows detection systems to spot these objects under poor visibility, glare, or nighttime conditions—enabling airports to significantly improve safety, reduce delays, and protect both passengers and equipment.
More broadly, ProHawk AI is being used in the U.S. and worldwide as a computer vision detailed analysis system. We don’t think in terms of just one industry—we’re solving problems across many. In forensics analysis, our technology restores critical clarity in challenging environments. In manufacturing defect analysis, ProHawk AI helps uncover flaws that standard sensors miss, driving higher quality and lower waste. And in boiler inspections, our pixel-level restoration detects small cracks in cement that could otherwise go unnoticed, helping prevent costly and dangerous failures. These examples highlight how ProHawk AI provides actionable insights and mission-critical results across industries.
Fabrice: Looking ahead, how do you see computer vision AI shaping industries in the next 2–3 years ?
Bob: Looking ahead 2–3 years, computer vision AI will become the backbone of automation. Robots, autonomous vehicles, healthcare systems, and smart cities will all depend on vision that is clear, trustworthy, and continuously improving. The real world has real conditions—glare, fog, night, weather, and environmental noise—that must be overcome, and that’s exactly what ProHawk AI resolves. Our role is to ensure that the foundation of the AI flywheel—pixel-level vision—is always strong.
A critical part of this future is the communication within the AI flywheel between machine learning, simulation, and edge computing. All three will play vital roles in how computer vision evolves. Edge computers capture and restore real-world vision data in real time. Machine learning platforms refine models continuously using this restored data. And simulation environments provide safe, scalable ways to test and stress models against millions of scenarios that can’t be replicated in the field. Together, these components create a self-learning, continuously improving loop that accelerates innovation and ensures mission-critical reliability.
My advice to partners and enterprises is simple: don’t wait. Build with quality data from the start. Because in AI, bad input means bad output. ProHawk AI ensures your AI sees the world as it truly is—and as it needs to be for the future.
