TrueFoundry

Platform that helps companies connect large-scale datasets to machine learning models

Series A · $11M · 2024-03

Data management for large language models (LLMs) used in enterprise AI, eliminating the "dirty data problem" that plagues machine learning

Series A · $30M · 2023-10

Platform for enterprises and government agencies to monitor and control AI interactions

Seed · $10M · 2025-03

Luchen Cloud GPU computing platform and MaaS inference APIs, supporting large model training, fine-tuning, and private deployment for enterprises and universities

Series B · $138M · 2026-03

ML architecture combined with formal logic to generate rigorously verified control software for safety-critical fields such as automotive, aerospace, defense and robotics, aiming to eliminate the "hallucinations" and errors of conventional LLMs in control code

Pre-Seed · $3M · 2025-12

Online RL-based optimization of AI model training (Paramorph) and large-scale training observability (Metrana)

Undisclosed · $2M · 2025-04

Helps developers optimize resources for large model training and inference

Pre-Seed · $3M · 2025-07

Infrastructure that lowers LLM inference costs for enterprises

Seed · $11M · 2025-11

SaaS platform (MLDebugger) for inference observability, debugging and reliability optimization of ML models in autonomous driving and other settings

Enterprise AI reliability: builds and runs enterprise AI agent systems on in-house platform Nora, using an in-house ~27B-parameter hallucination detection model to check each agent response, trace root causes and close the loop on fixes; small models to cut inference costs