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 ...
Aithon is an AI-native GTM platform built for regulated financial services. Aithon combines enterprise first-party systems with external market and regulatory signals, applying a financial-services ...
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.
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 ...
Moody's is sitting on a gold mine of proprietary, trusted data of the sort critical to successful AI adoption by financial ...
Discover how data lake consulting helps organizations design, secure, and optimize scalable data architectures for analytics, AI, and business growth.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results