How Hailo Raised $90M for its AI Chip Startup

The $90M Question: How Do You Fund a Hard Tech Moonshot?

Orr Danon’s startup, Hailo, builds high-performance AI chips for edge devices. This is not a social app. It’s a capital-intensive, long-timeline, deep tech venture—the kind of company that has to raise tens of millions of dollars just to get its first product to market. He and his co-founders successfully raised $90 million, including a substantial Series B.

How? Danon’s journey from an elite Israeli intelligence unit to building Hailo is a playbook for any founder tackling hard tech. He didn't just have a good idea; he systematically de-risked the venture at every stage, from the composition of the founding team to the go-to-market strategy. This is how you turn a technical insight into a fundable business.

Lessons from the Edge: Translating Military Tech Experience into a Startup

Danon spent nine years in an Israeli military intelligence unit. This isn't just a line on a resume; it was his founder training ground. High-stakes government tech units teach lessons that don’t show up in a typical accelerator curriculum.

Key Takeaways from a High-Stakes Environment

Embracing Scale and Possibility: Military tech operates at a scale most startups can’t imagine. Working on projects with national significance forces you to think bigger and resist the urge to build small, incremental features. You learn that with the right team and resources, massive technical challenges are surmountable. · The Burden of Responsibility: In Danon's unit, you have immense responsibility. Your decisions have real-world consequences. This creates a powerful sense of ownership, a core trait of any successful founder. You learn to balance calculated risks with profound accountability. · Talent Density is Everything: When the mission is critical, you are surrounded by A-players. This teaches you the immense leverage of a small, hyper-competent team. Good talent and high morale can overcome almost any obstacle, a lesson Danon would later apply to his co-founder search.

Recognizing Founder Burnout as a Call to Action

After nearly a decade, Danon felt the classic symptoms of burnout. The excitement faded, replaced by frustration. But instead of just quitting, he diagnosed the root cause: his heart was no longer in it. He craved a smaller, more agile environment where his contributions would have a more direct impact and where he could take on full responsibility—for both the successes and the failures.

Non-Obvious Insight: Burnout isn't just about being tired. For driven people, it’s often a sign that you've outgrown your environment. The frustration is a signal that you need to find a new, bigger challenge where you can have more direct ownership. For Danon, this was the catalyst to start his own company.

The First De-Risking: Assembling a Complete Founding Team

The most common mistake deep tech founders make is building an imbalanced team. They load up on brilliant PhDs and engineers but have no one who can actually sell the thing. Danon and his technical co-founders, Rami Feig and Avi Baum, actively avoided this trap.

They had the core technology insight from their shared background. But they had the self-awareness to know what they didn't know.

The Founder Skill-Gap Analysis

The Technical Core: The team started with a trio of deeply technical founders: Danon, Feig (a friend from his unit), and Avi Baum, who joined as CTO. They had the credibility and expertise to design a new class of AI processor. · Identifying the Commercial Gap: They knew that technical excellence was insufficient. They needed someone to focus on the market, customers, and business strategy from day one. They explicitly decided they needed a fourth co-founder to lead the business side. · Filling the Gap: They recruited Hadar Zeitlin to round out the founding team, bringing that crucial commercial experience into the core DNA of the company. · Adding "Adult Supervision": They didn’t stop there. They brought on a notable angel investor to be the company's chairman. This wasn't just about money; it was about bringing seasoned business expertise and governance to the table from the very beginning.

Founder Mistake: Thinking you can "hire a sales guy" later. Commercial strategy isn't an afterthought; it should be part of the founding team. If your entire founding team looks and thinks the same way, you have a critical vulnerability.

The Second De-Risking: Finding the Market Wedge

"AI and deep learning" is a technology, not a product. To make progress, Hailo had to get specific. They couldn't build a chip and hope customers would come. They needed to find a specific, painful problem to solve for a specific type of customer.

They chose to create a new AI processor, but wisely narrowed their focus to a tangible application: sampling in the automotive industry.

Why the Automotive Wedge Worked

High-Pain Problem: Automotive manufacturers need massive computing power in their vehicles for autonomous driving and advanced driver-assistance systems (ADAS), but are constrained by power consumption and heat. A novel, efficient AI processor is a perfect solution. · Clear Customer Profile: They weren't selling to "everyone." They were selling to Tier 1 auto suppliers and OEMs, a well-defined group with specific technical requirements. · Fast Feedback Loops: By targeting sampling—getting their chips into the hands of engineers for testing and evaluation—they created a mechanism for quick, real-world feedback to iterate on their design. · Platform for Growth: Proving the technology in the demanding automotive space would give them the credibility and performance data to expand into other verticals later (e.g., smart cities, retail, industrial automation).

This "wedge" strategy is critical. It turns an abstract technical project into a concrete business plan that investors can underwrite.

The Funding Trajectory for a Deep Tech Startup

Raising $90M doesn't happen at once. For a hardware company like Hailo, fundraising is staged to align with major technical and commercial milestones.

Stage 1: Angel/Seed ($1M - $5M)

Goal: Validate the core concept and build the team. The initial funds from their angel chairman and early VCs were used to hire the core engineering team and prove the architectural concept on paper and in simulation. The key milestone is proving the design is viable and differentiated.

Stage 2: Series A ($15M - $25M)

Goal: Build the first product. This capital funds the "tape-out"—the expensive process of sending the chip design to a foundry for manufacturing. The milestone here is a physical, working chip that can be sent to customers for sampling. This is the moment the technology moves from theory to reality.

Stage 3: Series B ($50M+)

Goal: Scale the business. Hailo's $90M+ in funding (which includes a large Series B) is for commercial scaling. With a working chip and positive feedback from initial automotive customers, the focus shifts to building out the go-to-market team, scaling production, and expanding into new markets. The milestones are now commercial: design wins, revenue, and a growing pipeline.

How to Apply This This Week

Audit Your Unique Background. What non-obvious skills did you gain from a previous career (military, academia, medicine, law)? How can you frame this as a unique advantage for your startup? · Map Your Founding Team's DNA. Create a simple chart with four quadrants: Product/Tech, Sales/Marketing, Finance/Ops, and Vision/Strategy. Honestly plot where each co-founder spends their time. If one box is empty, you’ve found your biggest risk. · Define Your Market Wedge. Stop describing your broad technology. Identify the single, most specific, highest-pain customer you can solve a problem for in the next 12 months. That's your wedge. Write a one-sentence description of it. · Check Yourself for Burnout. Are you frustrated because you're tired, or because you're no longer challenged and don't have enough ownership? If it's the latter, it may be time to seek a bigger adventure.