Nimble just raised $47M Series B to solve AI agents' biggest data problem.

The New York startup transforms unreliable web search into structured, enterprise-grade data that AI systems can actually trust. Their platform uses AI agents to verify and structure web results into queryable tables.

Key metrics:
• $47M Series B led by Norwest
• 100+ customers including Fortune 10 companies
• Founded 2021, now $75M total funding
• One customer evaluated 17 alternatives before choosing Nimble

Founder playbook:
• CEO Uri Knorovich identified the core constraint: AI fails from data problems, not model limitations
• Built enterprise partnerships with Databricks and Microsoft early
• Focused on mission-critical use cases: competitor analysis, pricing research, KYC
• Solved the "last mile": converting messy web data into enterprise-ready formats

The takeaway: Enterprise AI adoption depends on data reliability, not just better models.

https://techcrunch.com/2026/02/24/nimble-way-raises-47m-to-give-ai-agents-better-cleaner-data/

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