Oumi
Category: AI Developer Tools
Open-source AI platform enabling enterprises to build custom specialized models that outperform frontier models at a fraction of the cost and latency. Oumi was founded in 2024. The company is led by Emmanouil (Manos) Koukoumidis. Based in Seattle, Washington, United States. Team size: 11-50. Total funding raised: $10M. Latest round: Seed. Key investors include Venrock (lead), Obvious Ventures (lead), Plug & Play, Ascend, Angel investors including Ruslan Salakhutdinov (CMU professor), Ragavan Srinivasan (Meta Product VP), Vipul Ved Prakash (Together.ai CEO), Clem Delangue (Hugging Face CEO).
- Founded
- 2024
- Headquarters
- Seattle, Washington, United States
- Team size
- 11-50
- Total funding
- $10M
Value proposition
Oumi automates the end-to-end custom AI model development lifecycle — from data synthesis, evaluation, fine-tuning to deployment — enabling teams to build task-specific models in hours instead of months, with full ownership of weights and data.
Products and solutions
Oumi Platform (SaaS): automated evaluation, data synthesis, training, and deployment for custom models, Oumi Open-Source Library: unified API for pre-training, fine-tuning (SFT, LoRA, QLoRA, DPO, GRPO), inference, and evaluation across 100+ models, Oumi Enterprise: dedicated model/agent building with expert support
Unique value
"The Right Model Beats The Biggest Model" — build custom small models (e.g., 4B-8B params) that outperform frontier APIs by up to 50% in accuracy at up to 90-100x lower cost, with full data ownership and no vendor lock-in
Target customer
Enterprise AI/ML teams, research institutions, and developers who want to build custom specialized models rather than relying on general-purpose frontier APIs
Industries served
Financial Services (banking, insurance), Healthcare (clinical NLP), Media & Gaming, AI Agents/SaaS, Retail/E-commerce
Technology advantage
Automated end-to-end pipeline (evaluate → synthesize data → train → deploy) in a single platform; supports 10M to 405B parameter models across all architectures; runs on any cloud (AWS, Azure, GCP, Lambda); open-source with 9.3K GitHub stars; built by ex-Google Gemini/Apple Intelligence engineers
How they differentiate
Unlike Together AI and Fireworks AI (inference-first platforms), Oumi is an end-to-end platform that automates the full custom model lifecycle — evaluation, data synthesis, training, deployment — not just inference. Oumi is unconditionally open-source (open code, data, weights, collaboration) vs. competitors' conditional open-source. Strongest academic collaboration network (14+ universities). Structured as a Public Benefit Corporation with AI safety mission.
Main competitors
Together AI, Fireworks AI, Axolotl (open-source fine-tuning tool)
Key partnerships
Academic: Stanford, MIT, CMU, Princeton, UC Berkeley, Caltech, NYU, Oxford, Cambridge + 14 leading institutions, Cloud: AWS, Azure, GCP
Notable customers
Top-5 US Bank (legacy code modernization), National Insurer (claims classification, 100x cost reduction), Kaizen Gaming (26 markets, 20+ languages), Aurasell (AI CRM, research agent), DMG / Divisions Maintenance Group (invoice validation), Wired Informatics (clinical NLP), Original Voices (voice authenticity)
Major milestones
Jan 2025: Came out of stealth, announced $10M Seed round and first unconditionally open AI platform, Mar 2026: Launched commercial automated custom model platform (SiliconANGLE), Apr 2026: Analysis of Google AI Overviews published in The New York Times via MobileSyrup, 2025-2026: Released models including HallOumi (claim-verification), support for Llama 4, Qwen3, DeepSeek-R1, Gemma 4, GPT-OSS
Growth metrics
9.3K GitHub stars; 40+ employees; 14+ university research partners; 36+ AI research collaborators; used across Stanford, MIT, Oxford, Cambridge
Market positioning
Positioned as the "Linux of AI" — an unconditionally open platform enabling enterprises to own their AI models, competing against both closed frontier APIs (OpenAI, Anthropic, Google) and inference-first platforms (Together, Fireworks). Focus on the shift from general-purpose to specialized small language models (SLMs).
Geographic focus
United States (Seattle HQ), with global open-source community. Academic partnerships span US (Stanford, MIT, CMU, Berkeley, Princeton, Caltech, NYU), Canada (Waterloo), and UK (Oxford, Cambridge).
About Emmanouil (Manos) Koukoumidis
Ex-Google Cloud GenAI Lead (Cloud PaLM, Cloud Gemini RAI/Safety); Princeton PhD (mobile-cloud intelligent systems); MIT; ex-Meta
Latest news about Oumi
More AI Developer Tools companies
Official website: https://oumi.ai