Advised the founding team on AI roadmap, build-vs-buy decisions, and vendor selection — helping them avoid a $200K mistake before writing a single line of code.
Bellavi Team
AI solutions
The Challenge
The founding team was about to commit $200K+ to building a custom ML pipeline in-house — without validating whether the approach was right for their product or market.
What We Did
Ran a focused advisory engagement: audited their data infrastructure, mapped out build-vs-buy options, evaluated vendor solutions, and delivered a prioritized AI roadmap aligned with their fundraising timeline.
The Result
Avoided a costly technical misstep. The team shipped their first AI feature in half the time and at a fraction of the originally planned budget — using an off-the-shelf model fine-tuned to their use case instead of building from scratch.
Scope
AI roadmap, build-vs-buy analysis, vendor evaluation, technical architecture review.