Ritu Bahl founded Waifinder after spending years at the intersection of technology, workforce development, and organizational operations — watching mid-market organizations struggle to close the gap between AI ambition and operational reality.

The founding insight was simple: the organizations that most need AI systems built are the same organizations that can't afford the firms that build them. And the talent best positioned to build those systems — engineers trained in production agentic AI — had no clear pathway into the market.

Waifinder was built to solve both at once. Not as a social mission layered onto a consulting business — but as a business model where commercial success and workforce impact are structurally the same thing. Every system Waifinder deploys is built by engineers who needed a pathway into the tech economy. Every client engagement launches careers while solving operational problems.

Ritu leads Computing for All, a nonprofit placing 1,000 tech workers into good jobs under a federal Good Jobs Challenge grant — which means she understands both sides of the equation. She knows what organizations need from AI. She knows what engineers need from employers. Waifinder is what happens when those two things are designed together from the start.