Nimble uses AI agents to search the web, verify and validate the results, and then clean and structure the information into neat tables that can then be queried like a database.

In 2026, data leaders must focus on enhancing data foundations rather than feature expansion. That means prioritizing data ...

Nimble is designed to be model-agnostic, working seamlessly with state-of-the-art models from OpenAI, Anthropic, and Google's Gemini.

Nimble has raised $47 million in Series B financing, led by Norwest with participation from Databricks Ventures and its existing investors. The round brings total funding to $75 million and reflects ...

Empromptu's "golden pipeline" approach tackles the last-mile data problem in agentic AI by integrating normalization directly into the application workflow — replacing weeks of manual data prep with ...

KPMG JESS says once the incident was identified, it put into motion a series of measures including permanently deleting the file from the external environment on January 20. The auditing firm says it ...

Nimble raises $47M to accelerate multi-agent web search and deliver structured, verified real-time web data for enterprise AI.

Moody's is sitting on a gold mine of proprietary, trusted data of the sort critical to successful AI adoption by financial ...

Dotan Adler, CTO and Co-founder at SecuPi: "We are ensuring that security is never a bottleneck for innovation. Whether you are using Confluent, open-source Kafka, or managed cloud services, SecuPi ...