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OpenPipe offers a post-training platform that enhances AI agents through Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL). They pair RL experts with clients to identify high-impact use…

OpenPipe offers a post-training platform that enhances AI agents through Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL). They pair RL experts with clients to identify high-impact use…
Product: Post-training platform for supervised fine-tuning (SFT) and reinforcement learning (ART) to optimize LLMs and agent workflows
Core tech: Open-source Agent Reinforcement Trainer (ART) for continuous RL optimization
Deployments / compliance: On-premise or VPC deployment with SOC 2 Type II, HIPAA, and GDPR compliance
Funding: $6.7M seed announced March 2024 (total funding reported ~$6.7M)
Team size: About 10 employees
Optimization and customization of large language models and agent workflows to lower cost, reduce latency, and increase reliability for production applications.
2023
Artificial intelligence / Machine learning
Pre-seed round reported in September 2023 (amount not disclosed)
6700000.00 USD
Seed round announced March 26, 2024
“Backers include Costanoa Ventures, Y Combinator, and angel investors such as Tom Preston-Werner and Logan Kilpatrick”
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