Finding Product-Market Fit the Hard Way: Voxel51’s Journey from Consulting to Platform

Most companies don’t start with the right product. The trick is recognizing when the market is telling you to change course. In a recent episode of Category Visionaries, Jason Corso revealed how Voxel51’s path to product-market fit came through a series of market experiments and one crucial pivot.

The Initial Hypothesis

Armed with deep expertise in computer vision, Voxel51’s founders started with what seemed like a straightforward proposition. “Our thought was like, well, we know how to understand video. Let’s just build a system in which our users, our ultimate customers down the line, could upload their video to our SaaS offering and we’ll find them the insights in the video,” Jason explains.

They secured initial validation through a NIST grant and began building custom video understanding systems for clients like the Baltimore City Police Department and companies in the automotive and insurance sectors.

The Market Reality Check

But as they tried to scale this consulting model, they hit a wall. “When it came time to go and sign a long term production, like, let’s get some business intelligence or production value out of this video understanding system, the users just weren’t ready,” Jason recalls.

The problems were fundamental. “For every vertical we went into, we had to spend months getting data, labeling the data, like training models on it, and then were able to get insights. It really didn’t generalize that well.” They were becoming a services business, with all the scaling challenges that entails.

Finding the Hidden Product

The breakthrough came from an unexpected direction. While building custom solutions, they had developed internal tools to manage their development workflow. These tools weren’t the product they were selling – they were just infrastructure they needed to work effectively.

But as they struggled with the consulting model, they realized something crucial. The problems they were solving internally – managing data, evaluating models, understanding failure modes – were universal challenges in AI development.

The Pivot to Infrastructure

Rather than continuing to push their consulting services, they made a bold decision: “We ultimately pivoted way earlier in the lifecycle to kind of meet the users where they were at and release the developer tools that we had been building for that consulting work.”

This wasn’t just a product pivot – it was a complete rethinking of their market approach. Instead of trying to sell finished AI solutions, they would provide the infrastructure that AI developers needed to build their own solutions.

Validating the New Direction

To test this new direction, they made another crucial decision: releasing their core technology as open source. “We give away the full machine learning stack, the software, as long as it is one user, one machine, local data,” Jason explains.

The initial response was modest – “In the first months, we had like 20 weekly active users was like a big number for us.” But the quality of feedback they received confirmed they were on the right track.

The Enterprise Breakthrough

The path to enterprise sales emerged organically through community engagement. “About a year later when we inbounded a question from someone in the community… they kind of gave us the how to establish our go to market,” Jason shares.

This led to their current model, where they offer enterprise features like “the multi user capabilities, the enterprise security support, the system versioning like dataset versioning” on top of their open-source core.

Lessons for Technical Founders

Voxel51’s journey offers crucial lessons for technical founders. First, your initial expertise might not translate directly into your final product. Second, sometimes your most valuable product is the infrastructure you build to solve your own problems.

As Jason puts it, “It’s not like a sexy thing like data set quality or whatever, but we think of it as critical. Like roadways in American cities are not sexy either, but you need them to get around.”

The key is being willing to pivot when the market tells you to, even if it means completely rethinking your approach to value creation.