A new playbook for deep-tech growth: Inside the VentureOne model

For decades, the path from scientific breakthrough to commercial product has followed a familiar, if frustrating, trajectory. A research institution makes a discovery. A venture builder attempts to commercialize it. And somewhere along the way, the original problem the technology was meant to solve quietly fades into the background.

The result is one of deep tech’s most persistent paradoxes: groundbreaking innovation with no clear path to real-world impact.

That, according to Reda Nidhakou, the CEO of VentureOne, is where most innovation systems break down. And it is precisely the gap VentureOne was created to close.

VentureOne is part of the Advanced Technology Research Council (ATRC) ecosystem, which integrates clients, researchers, engineers, and commercial teams under one roof so the technology solution stays tethered to a pressing real-world need. 

“At VentureOne, we integrate the traditional lab-to-market sequence and keep the problem permanently upstream of the solution,” Nidhakou says. “That allows us to build the bridge between lab and market from the very beginning.”

THE ADVANTAGE OF A UNIFIED ECOSYSTEM

Within ATRC, VentureOne sits alongside ASPIRE, which works with governments and industries to pin down real-world challenges, and the Technology Innovation Institute (TII), which builds the technologies to address them. VentureOne is the final leg of the journey.

For Nidhakou, that integrated architecture is not a luxury; it is the entire point.

“The process is streamlined, the mandate is unified, and the handoffs are between colleagues rather than between organizations with competing incentives,” he explains. “That integration is what allows us to move at a pace that most innovation ecosystems simply cannot match.”

THREE-PART LITMUS TEST FOR VENTURE READINESS

Not every promising piece of research is ready to become a company. For any deep-tech venture builder, the real challenge lies in knowing when a technology is mature enough to go to market.

For VentureOne, that decision comes down to three conditions.

“First, there has to be a credible anchor client. Most systems claim to be ‘market-driven.’ Few enforce it. VentureOne requires a credible anchor client before product development begins,” says El Mehdi Abdat, VentureOne’s Chief of Staff and Lead Venture Architect, who works closely with each venture at the incubation phase. “Second, the technology must be demonstrably functional in an operational environment, not just a controlled lab setting. And third, we look for a viable path to production and scale.”

Many technically impressive projects fail that final test.

“Any one of those alone is interesting. All three together is when we start considering a venture,” he says. 

MARKET PULL, NOT TECHNICAL PUSH

One of deep tech’s most common traps is falling in love with the elegance of a solution rather than the urgency of the problem it is meant to solve.

VentureOne avoids that trap by asking different questions from the outset.

“The question is not ‘how impressive is this?’” Nidhakou says. “It’s ‘who needs this, what impact would it make, and what does the path to getting it to the user look like?’”

Before launching anything, VentureOne conducts a formal commercial viability assessment to test any assumptions.

“It forces an honest answer to whether there is a real client, a defensible route to market, and a production pathway that makes commercial sense,” Abdat says.

Some technologies, however sophisticated, simply do not meet that threshold.

“Technologies that can’t answer those questions stay in the lab—not because they’re not valuable, but because turning them into a venture with no identified need would set them up to stall.”

COMPRESSING DEEP-TECH TIMELINES WITHOUT CUTTING CORNERS

Once demand is validated, the next bottleneck in deep tech isn’t discovery, but time. Deep-tech ventures are notoriously slow to mature, often requiring years of iteration to find market fit. But much of that delay is not inherent to the technology. It stems from a fragmented commercialization process.

“We start with validated demand, so we’re not spending the first two years discovering whether anyone needs what we’re building,” Abdat says. 

The second part of the model is more structural. Rather than handing off a technology and walking away, the original research team stays attached to it.

“We keep researchers from the Technology Innovation Institute in the room long after the technology has been handed over to the venture,” Abdat adds. “The feedback loop between market and lab runs continuously: customer insights flow back to the engineers who built the underlying technology, and improvements flow forward to the teams deploying it.

“That co-iteration, happening in real time rather than through formal handoffs, is where the time compression comes from. We’re not cutting corners. We’re eliminating gaps.”

VentureOne’s model shaped its first four ventures, which it launched in the space of only 18 months between 2023 and 2024: ai71, which offers enterprise AI agents, QuantumGate, which offers quantum-resilient cybersecurity tools, SteerAI, which drives off-road autonomy, and Nabat, which uses AI, autonomous robotics, and environmental data to restore natural ecosystems. Each venture has established market traction, with multiple successful proof-of-concept projects and large, multi-year contracts across the portfolio.

BRINGING INDUSTRY PARTNERS IN EARLIER THAN USUAL

Many deep-tech ventures bring industry partners into the process late, often at the deployment stage. VentureOne takes the opposite approach.

“We’re not bringing industry partners in at the deployment stage to validate something already built,” Abdat says. “They’re involved in shaping what gets built: defining operational requirements, stress-testing assumptions, and flagging integration constraints that would only become visible once you’re trying to deploy at scale.”

With QuantumGate, engagement with the UAE Cyber Security Council began during the problem-definition stage, long before the solutions were deployment-ready. With SteerAI, Milrem Robotics acted as a development partner before participating in a SteerAI pilot. Nabat also worked closely with the Environment Agency of Abu Dhabi from the very beginning.

By bringing clients and co-development partners in early testing, learning, and iterating alongside them rather than handing over a finished solution—the team shares the build as it happens and captures commercial momentum from the outset. Treating partners as collaborators rather than end-buyers keeps them part of the journey, and keeps the product anchored to how it will be used. 

It’s more than a development advantage: it is what keeps the venture commercially relevant as it scales.

STRATEGIC FOCUS: WHERE VENTUREONE PLACES ITS BETS

VentureOne concentrates on problems the UAE has identified as having strategic significance on a national scale, and where inaction carries long-term consequences.

“We focus on problems where delay doesn’t just mean a missed market opportunity, but a real deterioration in operations,” Nidhakou explains.

Quantum-era cybersecurity is one example.

“The threat of quantum computing is already present,” he says. “Data is being harvested now to decrypt later, and the transition will take time. Organizations that aren’t preparing now could be facing a security crisis.”

Climate technology is another priority, particularly where AI and autonomous systems can outperform traditional human-led operations. “Nabat’s solutions allow speed and scale that traditional restoration methods simply cannot match,” he says. 

Sovereignty is a third priority: “The question of who controls the technology that governments and critical industries depend on is becoming increasingly vital. VentureOne is helping ensure that sensitive data stays where it belongs.”

BALANCING SCIENTIFIC DEPTH WITH COMMERCIAL URGENCY

Deep-tech ventures require long-term scientific rigor, but startups also demand commercial momentum. VentureOne develops both in parallel.

“Our stage-gate process helps,” Abdat says. “It forces commercial and industrialization readiness to advance alongside technical readiness, so neither side drifts too far ahead of the other.”

But beyond process, he says, success depends on close collaboration between technical and commercial teams.

“When TII researchers and VentureOne’s commercial teams are genuinely working on the same problem, the tension between depth and urgency becomes a creative constraint rather than an organizational conflict,” Abdat adds. “Sometimes you need that friction to make the best possible product.”

A NEW PLAYBOOK FOR DEEP TECH

For decades, the prevailing assumption in deep tech has been that breakthrough innovation requires massive ecosystems, long commercialization cycles, and a high tolerance for failure between discovery and deployment. VentureOne is challenging that assumption.

Its model of validated national problems, integrated research infrastructure, embedded industry partners, and compressed venture-creation timelines points to a different pathway from lab to market. The integration is neither a luxury nor a matter of tidy organizational design. For VentureOne, it is what makes the model viable. 

“We’re challenging an assumption that has been baked into innovation policy for decades,” Nidhakou says. “That deep tech is inherently slow, inherently uncertain, and inherently the preserve of large, mature ecosystems.”

He believes the framework could work well beyond the UAE. 

“We’re demonstrating that a focused, integrated approach can consistently outperform traditional models,” he says. “We offer smaller nations, emerging research institutions, and governments a genuine alternative playbook.”

As VentureOne’s approach proves to be scalable, its broader contribution may not be a single company or technology, but a rethinking of how deep-tech ecosystems themselves are built: less fragmented, less sequential, and far more connected to the real-world problems they are meant to solve.

“It’s not easy, by any means, nor is it a shortcut,” Nidhakou says. “But it is a method that produces stronger outcomes. That, to me, is the most valuable thing we can contribute to the market: demonstrating that deep tech moves faster and creates the most value when innovation systems are designed to support the full pipeline from lab to market.”