The Right Model Beats
The Biggest Model

Build and deploy custom models from a prompt in hours

Used by developers at leading organizations

Microsoft
Google
IBM
Apple
Intel
Citi
SAP
HP
DHL
Walmart
Concentrix
Johnson & Johnson
CNRS
DMG
OriginalVoices
Kaizen Gaming
Wired Informatics

Your Model, Not Theirs

Stop renting intelligence. Build & deploy custom models that are higher quality, more cost efficient, and faster than GPT-5.4 on your tasks.

50%Higher Accuracy
10×Lower Cost
10×Lower Latency
Oumi AI
Own Your AI

Your models, your data, your infrastructure — run anywhere

Own the weights, run anywhere, own your destiny. Oumi creates models you fully own and control.

Future-Proof Your AI

New model releases make you stronger — not obsolete

Always have a small custom model in a few hours that is better than the best frontier model for your tasks.

How it works

Four Steps to Production

The AI-native Custom Model Development Platform that automates the entire model development lifecycle

01/Evaluate
Measure how your model performs

Evaluators score model outputs against defined criteria so you can pinpoint weaknesses before and after training. Describe your task and get comprehensive test sets, recommended metrics, and ready-to-run evaluators, all generated automatically. Full visibility into results helps you decide where to focus next.

Evaluate: Measure how your model performs - Evaluators score model outputs against defined criteria so you can pinpoint weaknesses before and after training. Describe your task and get comprehensive test sets, recommended metrics, and ready-to-run evaluators, all generated automatically. Full visibility into results helps you decide where to focus next.
02/Synthesize
Generate targeted training data

Once weaknesses are identified, Oumi automatically synthesizes high-quality training examples targeting those failure modes, removing the need for manual curation or labeling. You review and refine data before it's used, so you stay in control.

Synthesize: Generate targeted training data - Once weaknesses are identified, Oumi automatically synthesizes high-quality training examples targeting those failure modes, removing the need for manual curation or labeling. You review and refine data before it's used, so you stay in control.
03/Train
Improve your model with fine-tuning

Train using the best approach for your use case, with support for full fine-tuning, parameter-efficient fine-tuning, and on-policy distillation. Oumi trains on your data and automatically re-evaluates results so you can measure improvement.

Train: Improve your model with fine-tuning - Train using the best approach for your use case, with support for full fine-tuning, parameter-efficient fine-tuning, and on-policy distillation. Oumi trains on your data and automatically re-evaluates results so you can measure improvement.
04/Deploy
Ship it and keep improving

Coming soon: Deploy your custom model to production with built-in lightweight monitoring. Track performance over time, catch regressions early, and feed insights back into evaluation to start the cycle again.

Deploy: Ship it and keep improving - Coming soon: Deploy your custom model to production with built-in lightweight monitoring. Track performance over time, catch regressions early, and feed insights back into evaluation to start the cycle again.

AI that builds your AI

The AI-native Custom Model Development Platform that automates the entire model development lifecycle

10x FASTER DEVELOPMENT

Hours, not months

Running evals. Analyzing failures. Curating data. Training. Repeat 12 times daily. Automatically.

10x CHEAPER MODELS

Small models, massive savings

Custom 3-7B models beat GPT-5.4 accuracy on your tasks and cost 10x less to run.

50% MORE ACCURATE MODELS

Task-specific precision

Generic models are trained on everything, mediocre at most things. Custom is the difference between a feature you can't ship and a competitive moat.

10X FASTER

Lightning-fast responses

Agentic workflows chain multiple calls — latency compounds. Custom models deliver instant responses. Faster decisions. Better experiences.

Top-5 U.S. Bank · 100M Lines of Legacy Code

Financial Services

  • Legacy Code Modernization
  • Compliance Guardrails
  • KYC/AML Document Extraction
  • Security Signal Detection
  • Regulatory Monitoring
  • Investment Reports

Custom AI for the institutions that can't afford to get it wrong. Frontier models failed 50% of code translation tests. A top-5 U.S. bank is modernizing 100 million lines of legacy code. Open-source models delivered 85% of Sonnet 4.6's quality on codebase comprehension — no proprietary code ever left the bank's environment.

It's pretty powerful if I can take that model… when I deploy it to production, that data's not going anywhere. The cost and deployment model you guys offer is kind of ideal for an enterprise.

Head of Modernization Architecture

Healthcare Provider · 80+ Models

Healthcare

  • Medical Record Data Extraction
  • Clinical NLP Distillation
  • Clinical Code Classification
  • Clinical Scribe Optimization
  • Medical Coding Automation
  • Medical Record Summarization
  • Agentic Healthcare Assistant

20% higher quality. 70% lower cost. — permanently replacing frontier LLM APIs. A custom vision model extracts structured patient data from medical records in real-time across 30 practices and 3 systems, scaling to 80+. $2.3M in annual savings. GPT and Claude delivered inconsistent results on specialized formats.

We spent three months trying to fine-tune internally — the infrastructure was quickly obsolete. With Oumi, the same team ships production models in minutes. We've permanently migrated away from LLM APIs.

ML Engineering Lead

Facilities Management Company · 400+ Service Types

Manufacturing

  • Equipment Documentation
  • ASIC Design & Code Gen
  • Service Classification
  • Invoice Verification
  • On-Device Quality Assessment
  • Predictive Maintenance
  • Work Order Automation
  • Document Comparison

Thousands of work orders daily. 400+ service types. A single specialized model replacing a multi-model pipeline that took 30 seconds to 5 minutes per work order — targeting sub-second on-device response. Accuracy on work order validity and appropriateness both improved significantly over a frontier model baseline.

Every job we handle is bespoke — even the same HVAC unit breaking down twice runs differently. I'm convinced our future is to have our own fine-tuned models. The results have only gotten better.

Chief Product & Technology Officer

National Insurer · 100× Cost Reduction

Insurance

  • Claims Classification
  • Form Validation & Completeness
  • Underwriting Automation
  • Policy Document Processing
  • Claims Intake Automation

100× cost reduction on high-volume claims triage. $0.10 per classification. Not $10. Custom models trained on your policy schema learn the specific rules, formats, and edge cases your claims require — consistency that frontier APIs can't match at this price.

We can't keep paying $10 per human review on claims that a custom model classifies for pennies. The accuracy has to be near deterministic — our policy rules don't change based on what the model ate for breakfast.

Claims Operations Lead

Global Gaming Company · 26 Markets, 20+ Languages

Media & Gaming

  • AI-Generated Content Moderation
  • Game Analytics
  • Multilingual Conversational Agents
  • Text-to-Query (Neo4j/Cypher)
  • AI Accuracy Auditing
  • Post-Production Automation
  • Script Analysis & Summarization
  • Constrained Content Generation

Specialized small models 26 markets. 20+ languages replacing frontier APIs for real-time sports interactions — from natural-language-to-query on structured databases to multilingual agentic agents running worldwide. Production-ready model. Lower cost. Lower latency.

Oumi's synthesis recipes took us from schema to 500 training samples in just a few iterations. Controlling data distribution was simple, and evolving from basic to complex queries required only small config changes.

Data Science Team Lead

Specialized Use Cases Require Specialized Intelligence

Build AI that understands your business, use cases and processes. Achieve high accuracy, low costs, and compounding IP you fully own.

Financial Services

Top-5 U.S. Bank · 100M Lines of Legacy Code

Use Cases Applied
Legacy Code ModernizationCompliance GuardrailsKYC/AML Document ExtractionSecurity Signal DetectionRegulatory MonitoringInvestment Reports

Custom AI for the institutions that can't afford to get it wrong. Frontier models failed 50% of code translation tests. A top-5 U.S. bank is modernizing 100 million lines of legacy code. Open-source models delivered 85% of Sonnet 4.6's quality on codebase comprehension — no proprietary code ever left the bank's environment.

It's pretty powerful if I can take that model… when I deploy it to production, that data's not going anywhere. The cost and deployment model you guys offer is kind of ideal for an enterprise.

Head of Modernization Architecture

Better models Lower cost

Get started today with our open source or enterprise offerings

8.9K GitHub Stars

Open Source Stack

Free Forever

Everything AI researchers need to build state-of-the-art models in a single library.

  • Pre-training, fine-tuning, and evaluation at any scale
  • Text and multimodal, open and closed models
  • Data synthesis and curation
  • Run anywhere, from your laptop to the cloud

100x faster development

Pro Platform

$25/month

with rollover to next month

Build high-performing custom models faster. No need to bring your own compute.

  • Free starter credits: $50 corporate, $25 personal
  • Automated evaluation, synthesis, and training pipelines
  • Deploy to the inference provider of your choice
  • Expert support
  • 25 monthly credits with rollover

Tailored to your needs

Enterprise

Custom Pricing

Platform access and services pricing tailored to your team's needs. Oumi's team works alongside yours to build custom models and agents for your most critical use cases.

  • Dedicated slack channel
  • Designated expert
  • Models and agents tuned to your domain and task
  • Fixed price and fixed bid professional services engagement

Oumi is loved by
developers, researchers

GitHub Stars
8.9K
GitHub Stars

Backed by a thriving open-source community with 8,900+ stars.

Supported by researchers at
14+leading academic institutions
Stanford University
Princeton University
California Institute of Technology
Cornell University
University of California, Berkeley
University of Washington
University of Illinois Urbana-Champaign
Georgia Institute of Technology
New York University
Massachusetts Institute of Technology
University of Waterloo
University of Oxford
University of Cambridge
University of Pennsylvania