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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/ #startups#AI