OpenPipe

Founded by Kyle Corbitt in 2023

Helps developers fine-tune AI models for better performance.

Cost

Free Trial, Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use OpenPipe to train and deploy custom AI models that are faster, more accurate, and cost-effective. By capturing your existing AI interactions, OpenPipe allows you to fine-tune models specific to your needs, resulting in improved performance and reduced costs. For instance, users have reported achieving the same accuracy as GPT-4 at a fraction of the cost. This tool is particularly useful for developers looking to optimize AI-driven features in their applications.

What OpenPipe does

Collecting and managing AI interaction dataTraining custom AI models with specific datasetsDeploying fine-tuned models to production environmentsEvaluating model performance using automated toolsReducing latency in AI responsesLowering operational costs of AI-driven features

Frequently asked

OpenAI

Want a tailored answer?

See whether OpenPipe fits your stack.

Techbible weighs OpenPipe against what you already pay for, your team shape, and the work that's actually happening. Free to start.

More in AI Orchestration and MLOps

All tools →

A visual AI playground

Tersa is an open source canvas for building AI workflows. Drag, drop connect and run nodes to build your own workflows powered by various industry-leading AI models.

AI Reliability for Production LLMs

Latitude is the reliability layer for AI products: detect failures, measure performance, and automatically improve model quality

AIMLAPI

AI API service providing easy access to over 200 AI models.

AMESA

Build and deploy AI agents to automate complex industrial processes.

Adaption

Build adaptive AI that learns continuously from your data

Agenta

Agenta is an open-source platform for building robust LLM Application. It provides tools for prompt engineering, evaluation, debugging, and monitoring of complex LLM Apps.

Agentic Fabriq

A security and identity layer that manages permissions, authentication, and governance for AI agents acting across enterprise tools.

Archestra

Enterprise MCP platform with security guardrails, compliance controls, and a curated catalog of 900+ evaluated Model Context Protocol servers for AI agents.