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Approximate Labs
Approximate Labs is building a future where complex data analysis is as simple as asking a question, making data-driven insights universally accessible. They are creating a repository of tabular…
Approximate Labs
Approximate Labs is building a future where complex data analysis is as simple as asking a question, making data-driven insights universally accessible. They are creating a repository of tabular…
TL;DR
Location: Boulder, Colorado, USA
Focus: Reasoning-efficiency for LLMs and tabular-data AI
Notable projects: TabLib, Sketch, Julyp, TableGen
Founders / key person: Justin Waugh (Founder / Principal Investigator)
Funding (reported): Seed round; investors include Eniac Ventures and Sierra Ventures
Company Overview
Problem Domain
Making analysis and manipulation of tabular data accessible and efficient using specialized models, compilers, benchmarks, and stateful/approximate methods for reasoning in LLMs.
Founded
2022
Industry
Artificial intelligence / Research lab
Funding Track Record
5350000.00 USD
Reported total funding and last funding date correspond to Seed round; investors listed include Eniac Ventures and Sierra Ventures.
Investor Signal
“Investors include Eniac Ventures and Sierra Ventures”
Founders
What we do
Join the Team
Startup jobs. A lot of them.
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