Evaluate, tune, and serve the best LLMs for your business. If you can measure it, reinforcement learning can optimize it.
Evaluate, tune, and serve the best LLMs for your business. If you can measure it, reinforcement learning can optimize it.
What they do: Reinforcement-learning platform (Adaptive Engine) for tuning, evaluating, A/B testing, and serving specialized language models
Customers / partners: Reported deployments with AT&T, SK Telecom, and Manulife
Funding: Series A of $20M closed Mar 11, 2024 (lead: Index Ventures)
Locations: Offices in New York and Paris; hybrid work
Team size / founding: Around 32 employees; six-person founding team
Improving production performance of generative AI/LLMs via preference tuning, RLHF, and automated experimentation.
2023
Enterprise AI / Generative AI
$20,000,000
Round reported to include participation from multiple investors (total of seven investors).
“Index Ventures lead; participation reported from ICONIQ Capital, Motier Ventures, Databricks Ventures, Financiere Saint James, and investors associated with Factorial”
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