Oumi
Oumi is a Bellevue-based AI company operating an AI-native platform and open-source library that automate the full lifecycle of building, evaluating, fine-tuning, and deploying task-specific language models for enterprise customers in financial services, healthcare, insurance, gaming, and other regulated verticals.
- Company typePrivate
- Founded2025
- HeadquartersSeattle, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What Oumi does
Oumi is a Bellevue, Washington-based AI company (legally OUMI PBC, a Delaware public benefit corporation) that operates an AI-native platform for building, evaluating, fine-tuning, and deploying task-specific language models. The commercial Oumi Platform exposes the full development lifecycle — Evaluate, Synthesize, Train, and Deploy — through a web UI and an agentic assistant (the Oumi Agent) that accepts plain-language prompts and orchestrates the workflow, including automated data synthesis targeting identified failure modes, custom LLM-as-judge evaluation, supervised fine-tuning (full, LoRA, and on-policy distillation), and one-command deployment. The company also maintains an Apache 2.0 open-source Python library on GitHub (9.3K+ stars) that ships ~500 YAML recipe configs and supports pre-training, fine-tuning, and evaluation of open-weight models from Qwen, Llama, Gemma, GPT-OSS, DeepSeek, and others.
Oumi's go-to-market combines product-led growth (free open-source library, free platform credits of $50 corporate / $25 personal, Pro tier at $25/month) with an enterprise sales motion offering dedicated embedded experts and bespoke engagements to Fortune 500 buyers in regulated industries. Revenue streams include subscription (Pro), usage-based pricing across evaluation, data synthesis, storage, fine-tuning (per 1M tokens), on-policy distillation (per GPU-hour), production inference (A100/H100/B200 hourly), and custom enterprise contracts. Customers span financial services (top-5 US bank legacy code modernization; national insurer claims triage), healthcare (Wired Informatics clinical NLP), insurance, gaming/hospitality (Kaizen Gaming text-to-SQL across 26 markets), AI agents (Aurasell CRM), voice technology (Original Voices), and facility management (DMG invoice validation). The company also offers proprietary hallucination-detection models (HallOumi open-sourced April 2025 and HallOumi++ commercially held) used in commissioned research for The New York Times.
Oumi firmographics
Firmographics- Name
- Oumi
- Legal name
- OUMI PBC
- Website
- https://oumi.ai
- Company type
- Private
- Founded year
- 2025
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Oumi is a Bellevue-based AI company operating an AI-native platform and open-source library that automate the full lifecycle of building, evaluating, fine-tuning, and deploying task-specific language models for enterprise customers in financial services, healthcare, insurance, gaming, and other regulated verticals.
- Ownership category
- akta.pro rank
Oumi industry classification
Industry- Product category
- AI Model Development Platform
- NAICS
- Computer Systems Design and Related Services (5415), Custom Computer Programming Services (541511), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming Services (7371)
- akta.pro primary industry
- Model Development & Training Platforms (AutoML, Notebooks, Feature Stores) (HDAEANAB)
- akta.pro secondary industries
- Model Hosting, Serving & Inference Platforms (HDAAACAB), Model Serving, Inference & Deployment Platforms (APIs, Edge/On-Prem) (HDAEANAC), On-Device Inference Runtimes & SDKs (mobile/embedded) (HDAAAJAB)
Keywords
Where Oumi is headquartered
LocationHeadquarters
- HQ city
- Seattle
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Oumi business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Operations, Marketing or Sales
Revenue model
- Hosted Platform - Pro Tier: Subscription-based access to Oumi's hosted platform with automated model development tools. Starts free with free credits ($50 corporate, $25 personal), then $25/month after with pay-as-you-go consumption. Includes automated evaluation, synthesis, and training pipelines.
- Consumption-based Services: Usage-based pricing for platform services including evaluation (1,000 judgments/$1), data synthesis (1,000 rows/$1), storage (4 GB/month/$1), supervised fine-tuning (per 1M training tokens based on model size), on-policy distillation (per GPU hour), and inference.
- Production Inference: Hosted inference deployment for fine-tuned models with hourly billing (A100 80GB: $3/hr, H100/200: $7/hr, B200: $10/hr, billed for uptime). Open AI-compatible endpoint accessible with Oumi API key.
- Enterprise Services: Custom pricing for enterprise tier with dedicated experts embedded with customer teams, bespoke model and agent development, and engagements scoped to customer goals.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Others | Open Source - Free forever tier for AI researchers |
| Subscription | Monthly | Pro Platform - Starts free, $25/month after with pay-as-you-go |
| Hybrid | Multi-year contract | Enterprise - Custom pricing with dedicated support |
| Usage-based | Pay-as-you-go | Tools & Storage - Per-unit consumption pricing |
| Usage-based | Pay-as-you-go | Supervised Fine-Tuning - Per 1M training tokens |
| Usage-based | Pay-as-you-go | On-Policy Distillation - Per GPU hour (8 GPUs) |
| Usage-based | Pay-as-you-go | Production Inference - Hourly billing for hosted deployment |
Go-to-market motion3 records
Distribution channels5 records
Marketing channels10 records
Oumi product offering
Product offeringCore offering
Oumi provides an AI-native custom model development platform that automates the entire model lifecycle — evaluation, data synthesis, training (SFT, LoRA, on-policy distillation), and deployment — accessible via web UI and an Oumi Agent using natural-language prompts. It also offers an open-source Python library (Apache 2.0) for pre-training, fine-tuning, and evaluating foundation models, plus hosted inference and standalone hallucination detection models (HallOumi, HallOumi++). The platform enables enterprises and developers to build task-specific small language models that outperform frontier models at significantly lower cost and latency, with full model ownership and on-prem deployment support.
Product overview
Oumi is an AI company offering two complementary products: the Oumi Platform (a commercial AI-native custom model development SaaS) and the Oumi Open Source Library (an Apache 2.0 open-source Python library on GitHub with 9.3K+ stars). The Platform is built around an Oumi Agent that automates the full model development lifecycle — Evaluate, Synthesize (data generation), Train, and Deploy — accessible via a web UI or CLI with no ML code required. The open-source library provides the underlying tooling for pre-training, fine-tuning, and evaluation of foundation models. Oumi also released HallOumi, an open-source hallucination detection model. The Platform supports managed inference hosting (in Beta) with OpenAI-compatible endpoints, batch API access across Anthropic/Fireworks/Together, and integrations with AWS (EC2/S3/Bedrock), Hugging Face, Fireworks.ai, Parasail, Cerebras, Pipecat, and others. Oumi is backed by $10M in seed funding from top university researchers and targets enterprises shifting from expensive general-purpose frontier models to cost-effective, task-specific small language models.
Differentiator
Problem solved
Functional benefit
Brands
- HallOumi: State-of-the-art hallucination detection model for claim verification, released to open source in April 2025
- HallOumi++
Products and services
- Oumi Platform Commercial SaaS platform that automates the full lifecycle of building, evaluating, fine-tuning, and deploying task-specific AI models from plain-language prompts via web UI and Oumi Agent. Targets enterprises and developers seeking task-specific small models that outperform frontier alternatives at lower cost.
- Oumi Open Source Library Apache 2.0 open-source Python library (oumi-ai/oumi) providing pre-training, fine-tuning, and evaluation tooling for foundation models at any scale. Supports text and multimodal, open and closed models, data synthesis and curation, and runs from laptop to cloud clusters. Ships with ~500 ready-to-use YAML recipe configs.
- HallOumi Open-source small-parameter hallucination detection model that evaluates whether claims in a model's output are supported by its input context. Provides a detection label plus detailed explanation for each claim. Built using Oumi's technology for claim verification.
- HallOumi++ Advanced proprietary hallucination detection model providing industry-leading claim verification with fine-grained prediction labels: 'supported', 'unsupported', 'inferred', 'embellishment', 'common knowledge', and 'lie', with detailed explanations for each decision. Used in Oumi's commissioned studies and enterprise evaluation workflows.
Quantifiable outcome
- Custom 4B model achieved 97.2% accuracy (+27.2% vs frontier baseline) at 86% lower cost
- +5 more outcomes
Companies that use Oumi
Customer profileNamed customers7 records
Segments6 records
Ideal customer profiles3 records
Oumi technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration10 records
AI capability10 records
Feature8 records
Oumi partnerships and signals
Strategic signalPartnerships
Two partnerships are on record, tiered core.
- Amazon Web Services (AWS)coreAWS published a co-authored technical tutorial demonstrating how to fine-tune open source LLMs using Oumi on Amazon EC2 and deploy them via Amazon Bedrock Custom Model Import, with model artifacts stored in Amazon S3.
- Top Academic UniversitiescoreOumi PBC formed through partnerships with top AI research universities. Active involvement from researchers at Stanford, MIT, Oxford, Cambridge, Princeton, Caltech, Cornell, UC Berkeley, University of Washington, UIUC, Georgia Tech, NYU, University of Waterloo, and University of Pennsylvania. The initiative seeks to democratize AI development with transparent and accessible AI models and tools, fostering collaborative and reproducible AI research.
Scale indicators5 records
Recent moves6 records
Expansion highlights7 records
Oumi competitors and assessment
Company assessmentDirect peers
- Hugging Face: Largest open-source AI/ML platform providing model hosting, fine-tuning (TRL/Autotrain), evaluation, and inference APIs. Directly comparable as both target developers and enterprises building on open-weight models, with similar PLG-from-OSS motion.
- Predibase: Enterprise fine-tuning and serving platform built on open-source Ludwig, offering automated training of custom LLMs on customer data. Closely comparable in the 'own your model' enterprise value proposition and target buyer (regulated industries needing data control).
- Anyscale: Ray-based AI compute platform (Anyscale Platform) for training, fine-tuning, and serving models at scale. Comparable as a developer/enterprise platform for productionizing AI workloads with multi-cloud deployment.
- Together AI: AI cloud platform providing GPU clusters for training, fine-tuning, and inference of open-weight models. Comparable in supporting the full model development lifecycle on open models with usage-based pricing.
- Fireworks AI: AI inference platform specializing in low-latency serving of fine-tuned open-weight models with autoscaling and dedicated endpoints. Directly comparable as a deployment target (Oumi uses Fireworks as an integrated provider) and as a competitor in the custom-model serving space.
- Replicate: Cloud platform for running and fine-tuning open-source AI models via API, with a strong developer/PLG motion. Comparable as a hosted platform for serving custom models with usage-based pricing and an open-source-friendly ecosystem.
- Modal Labs: Developer platform for running AI workloads (training, batch, inference) on serverless GPU infrastructure. Comparable as a developer-focused AI infra platform with both training and inference capabilities targeting startups and enterprises.
- Lamini: Enterprise platform for fine-tuning and hosting custom LLMs on proprietary data with a focus on regulated industries (finance, healthcare). Closely comparable in the 'custom model ownership' value proposition and target verticals.
Broad incumbents
- AWS Bedrock: Hyperscaler AI platform offering model customization (fine-tuning, continued pretraining), evaluation, and managed inference across multiple foundation models. Comparable as an alternative path for enterprises building custom models within an existing cloud ecosystem.
Emerging players
- Weights & Biases (W&B): MLOps platform for experiment tracking, evaluation, and model lifecycle management, recently expanded into generative AI tooling (Weave, Models). Comparable in providing the evaluation and training infrastructure layer that Oumi's platform competes with for ML teams.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks6 records
Key highlights7 records
Customer concentration
Oumi social profiles
Digital presenceOumi financial estimates
Financial estimateRevenue estimate
Valuation estimate
Oumi leadership team
Management profileNumber of profiles
Profiles1 record
Oumi subsidiaries and ownership
Company hierarchySubsidiaries2 records
Oumi funding detail
Funding detailFunding overview
Funding rounds2 records
Investors4 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Oumi M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Oumi
What does Oumi do?
Oumi provides an AI-native custom model development platform that automates the entire model lifecycle — evaluation, data synthesis, training (SFT, LoRA, on-policy distillation), and deployment — accessible via web UI and an Oumi Agent using natural-language prompts. It also offers an open-source Python library (Apache 2.0) for pre-training, fine-tuning, and evaluating foundation models, plus hosted inference and standalone hallucination detection models (HallOumi, HallOumi++). The platform enables enterprises and developers to build task-specific small language models that outperform frontier models at significantly lower cost and latency, with full model ownership and on-prem deployment support.
Is Oumi a public or private company?
Oumi is a private company. It is classified as venture growth investor backed and is currently operating.
When was Oumi founded?
Oumi was founded in 2025. It employs 1 to 10 people.
Where is Oumi based?
Oumi is headquartered in Seattle, United States, in the North America region.
How does Oumi make money?
Four revenue lines are on record. Hosted Platform - Pro Tier is the primary driver. The others are consumption-based Services, production Inference and enterprise Services.
Who are Oumi's main competitors?
Direct peers on record are Hugging Face, Predibase, Anyscale, Together AI, Fireworks AI, Replicate, Modal Labs and Lamini. AWS Bedrock is listed as a broad incumbent. Weights & Biases (W&B) is listed as an emerging player.
Does Oumi have an API?
Yes. Oumi provides a managed inference API with OpenAI-compatible endpoints for deploying fine-tuned models. Users can deploy their custom-trained models directly from the Oumi Platform and access them via an Oumi API key using standard OpenAI SDKs. The platform also supports batch inference APIs across Anthropic, Fireworks, and Together providers, enabling large-scale offline evaluation and synthetic data generation at reduced cost (~50%). All remote inference engines include built-in sliding-window rate limiting for RPM, input-TPM, and output-TPM independently. Developer documentation is at docs.oumi.ai.
What industry is Oumi in?
Oumi's product category is AI Model Development Platform. Its primary akta.pro industry code is HDAEANAB, Model Development & Training Platforms (AutoML, Notebooks, Feature Stores), with a secondary code of HDAAACAB, Model Hosting, Serving & Inference Platforms. Its NAICS code is 5415 and its SIC code is 7372.