
OpenPipe
Provides a 'Data Flywheel' that automatically captures a company's best prompt logs and uses them to fine-tune smaller, open-source models.
About
OpenPipe provides a fully-managed fine-tuning platform for developers, enabling them to replace expensive, general-purpose LLMs like GPT-4 with smaller, custom-trained models. Their 'Data Flywheel' approach automatically captures prompt logs to continuously improve these models, offering significant cost savings, reduced latency, and improved accuracy for production applications.
Listed competitors
Enterprise platform for building, deploying, and managing custom machine learning models.
A unified data analytics and AI platform built on the lakehouse architecture.
High-performance AI inference platform built by former Meta PyTorch engineers.
“I'm having incredible results just from kimi k2.6 as the planner on opencode go and using deepseek v4 flash to implement the spec. I saw…” r/opencodeCLI
Key facts
- Website
- openpipe.ai
- Headquarters
- San Francisco, USA
- Founded
- 2023
- Total funding
- $7M (Seed)
- Business model
- B2B
Funding rounds
| Date | Round | Amount | Lead investors |
|---|---|---|---|
| 25 Mar 2024 | Seed | $7M | Costanoa Ventures |
Tech stack
Detected on openpipe.ai, last scanned 15 Oct 2026. Run your own scan
- CDN
- Cloudflare
- Email provider
- Proofpoint
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Frequently asked
Is OpenPipe trustworthy and reputable?
StartupHub's Data Trust & Reputation score for OpenPipe is 65 out of 100, a generally safe rating, based on site security posture, privacy practices, malware and phishing checks, and public reputation signals.
How much funding has OpenPipe raised?
OpenPipe has raised a total of $7M in funding. The most recent round on record is Seed.
SEC filings, insider activity, nonprofit links and pay benchmarks for OpenPipe:
Company details: from public sources. Funding: no announced round on file. Ownership: not yet claimed by the company. Scores: measured by named tools; each links to its method. Our rules

