A new player named Knit is quietly rewriting how companies like Amazon, NASCAR, and Mars Wrigley make strategic decisions. Founded by Aneesh Dhawan and Raahish Kalaria, Knit’s AI-powered research platform has grown 5× in the past year and closed a $16.1 million Series A.
This AI platform for researchers represents a fundamental shift in how enterprises approach market intelligence. By combining machine learning with human expertise, Knit has created what may be the most sophisticated “augmented intelligence” platform in the research space.
Unlike many automation tools, Knit doesn’t replace researchers — it amplifies them. Surveys, analysis, and reporting that once took months are now completed in days, thanks to integrated AI workflows. The company calls its model augmented intelligence — humans plus machines, not humans versus machines.
With a 65-million-respondent network spanning 50+ countries, Knit provides real-time market insights that help businesses make faster, better-informed decisions. It’s a frictionless solution to a $140 billion global research industry often plagued by delays and cost overruns.
The firm’s leadership, including veterans from DoorDash and Maven, has built a culture around collaboration, speed, and humility — a blend that’s proving magnetic to top-tier enterprise clients.
The Strategic Implications
What makes Knit particularly compelling isn’t just its technology—it’s the business model. By reducing research timelines from months to days while maintaining enterprise-grade quality, they’re enabling a new pace of strategic decision-making. In markets where timing often determines competitive advantage, this speed-to-insight becomes a strategic differentiator.
The platform’s video-based respondent verification and AI-generated reporting also address two critical pain points: data quality and analysis bottlenecks. For enterprises operating in rapidly evolving sectors, these capabilities translate directly into more agile market positioning.
Looking Forward
As we track the evolution of AI infrastructure, Knit represents something significant: AI that doesn’t displace human intelligence but multiplies it. Their “researcher-driven AI” approach offers a blueprint for how other industries might successfully integrate artificial intelligence without losing the strategic thinking that drives real business value.
For companies navigating today’s complex market landscape, platforms like Knit aren’t just research tools—they’re competitive infrastructure. The question isn’t whether AI will transform market research; it’s whether businesses will adapt quickly enough to leverage these new capabilities.
In a world where data is abundant but insight is scarce, Knit is building the bridge between information and intelligence. And for enterprise leaders, that bridge may be exactly what separates strategic success from strategic lag.
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