Nimble is an agentic search platform that transforms public web data into what it describes as trusted, “decision-grade” data suitable for AI systems. It’s built for mid-market and enterprise organizations that need reliable, structured data pulled from the open web to power AI applications and agents. The company states it achieves 99% accuracy, a claim made by Nimble itself. Nimble has raised $75M in total funding, including a $47M Series B led by Norwest with participation from Databricks Ventures.
Nimble
Turning the public web into decision-grade data.
Compliance
GDPR SOC 2
Key Features
- Agentic web search — Uses AI-driven agents to search and extract relevant data from across the public web.
- Data accuracy focus — Nimble states its platform achieves 99% accuracy in the data it delivers (company claim).
- Decision-grade data structuring — Converts raw web content into structured data intended to directly support business or AI decision-making.
- Pay-per-request pricing — Usage-based billing tied to actual data requests rather than flat subscription tiers.
Use Cases
- For AI system builders — A company building an AI product that needs real-time web data uses Nimble to source reliable, structured information at scale.
- For enterprises doing market or competitive research — A business uses Nimble’s web data infrastructure to power research and analytics tools without building web-scraping infrastructure in-house.
Pricing MODELS
Usage-based
Pricing Summary
Usage-based, pay-per-request pricing, with custom enterprise pricing for larger-scale needs.
Company Size Fit
Enterprise Mid-market
Technical Snapshot
API Available
Yes
LLM Provider
N/A
Open Source
No
Deployment Options
Cloud Saas