QuantaSense raises $90M to scale real-time LLM orchestration for enterprise search

AI · 6 min read

QuantaSense announced a $90M Series C led by Atlas Growth and released an upgraded orchestration platform that dynamically composes answers from retrieval-augmented generation, symbolic reasoning modules, and domain-specific micro-models. The company aims to help enterprises run high-accuracy, auditable search assistants without exposing data to third-party models.

Key features include provenance tracking, policy enforcement hooks for regulated data, and a plugin marketplace of certified micro-models for vertical domains like finance and healthcare. QuantaSense claims the orchestration layer reduces hallucinations by 60% versus baseline RAG implementations in customer trials.

The investment will accelerate expansion into international markets, certifications for compliance regimes, and developer tooling for integrating the orchestration engine into existing knowledge platforms. QuantaSense also plans to sponsor an ecosystem fund for model builders to certify their micro-models on the platform.