Get ready to compound your AI. August 11.
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Own Your Intelligence.
Compound It.
Oumi is your AI Factory production line. It builds, deploys, learns and compounds your own AI to your advantage.
Up to +50% accuracy
vs. frontier models
Up to 90% lower cost
vs. frontier models
As low as 2 hours to production
from prompt to deploy
Build your AI models like you use Claude Code, by prompt engineering.
You can also build via the Web UI, it's your choice.
The Agent automates creating data, recipes, model weights, and more, which you can use inside and outside the platform.
Synthesize powerful LLM-as-a-Judge evaluators with the Oumi Agent.
Uncertainty estimates for free.
Easily compare between baselines and your specialized AI.
Each operation is supported by reproducible recipes. You have access to all the fine parameters, even when building with the Oumi Agent.
Distill frontier LLMs into LLMs 1000x smaller
Synthesize data with natural language using the Oumi Agent
Transparency on training metrics with loss and gradient norm curves.
Fine-tune a wide range of open-weight LLMs, from 0.8B to 120B
Reproducible recipes that can be used both on the platform and offline. The Oumi Agent writes them.
One click deploy and your endpoint launches in a few minutes.
OpenAI compatible endpoint that integrates with your existing code.
Copy and paste to access your endpoint right away.
Synthesize new data that targets the failure modes of your current model iteration.
Regressions in evaluators are grouped using AI into higher-level failure modes.
You can monitor evaluators on production traffic to learn how to improve your model from real-world signal.
Enabling
Leading
Organizations
What AI should you own?
Rent what’s generic. Own what differentiates you, what costs you most, and what you must control.
Customer operations
Support Resolution AI
What it does
Resolves routine cases using your policies and customer context. Learns from agent corrections.
Business outcomes
Faster resolution · fewer escalations · lower cost per resolution
Production-backed56 external proof points · 10 named production stacks
Platform
Model Routing
What it does
Routes each task to the lowest-cost eligible model that clears quality and policy gates.
Business outcomes
Lower inference cost · stable quality · fewer manual routing rules
Evidence-backed6 external proof points · production validation pending
Mobile banking
On-Device Banking AI
What it does
Runs quantized models on the device for low-latency, private banking interactions.
Business outcomes
Faster response · less cloud spend · more customer data kept on-device
Architecture-reviewedBanking-specific edge architecture reviewed
Fraud & risk
Transaction Fraud
What it does
Scores each transaction and routes the highest-risk cases for review. Learns from disputes and confirmed outcomes.
Business outcomes
More fraud caught · fewer false declines · focused review capacity
Production-backed19 external proof points · 1 named production stack
Consumer lending
Consumer Loan Approval
What it does
Combines bureau, income, identity, and policy data to recommend a decision and loan terms.
Business outcomes
Faster decisions · consistent pricing · better-calibrated credit risk
Production-backed10 external proof points · 1 named production stack
Commercial lending
Commercial Loan Approval
What it does
Extracts financials and applies credit policy to prepare a cited recommendation for human approval.
Business outcomes
More underwriting capacity · faster decisions · more consistent risk grades
Evidence-backed18 external proof points · production validation pending
Merchant risk
Merchant Underwriting
What it does
Assesses the business, owners, website, and processing history to set onboarding controls and monitor risk.
Business outcomes
Faster onboarding · fewer avoidable losses · earlier risk detection
Production-backed19 external proof points · 2 named production stacks
AML compliance
SAR Narrative
What it does
Builds a supported narrative draft from alerts, transactions, KYC records, and investigator notes. Flags missing facts.
Business outcomes
Less drafting time · stronger evidence traceability · more consistent QA
Evidence-backed17 external proof points · production validation pending
Compliance
Restricted List
What it does
Screens employee trading and communications against restricted lists and information barriers. Routes exceptions for review.
Business outcomes
Faster pre-clearance · focused compliance review · stronger audit trail
Opportunity-mapped
Claims
Coverage Decision
What it does
Finds the policy language, endorsements, exclusions, and rules that apply. Builds a cited review summary.
Business outcomes
Faster coverage review · more consistent analysis · stronger audit trail
Production-backed19 external proof points · 1 named production stack
Underwriting
Insurance Submission Intelligence
What it does
Extracts risk details from broker emails, ACORD forms, and loss runs. Flags gaps and appetite mismatches.
Business outcomes
Faster intake · fewer incomplete submissions · more underwriter time for risk
Production-backed18 external proof points · 3 named production stacks
Special investigations
Insurance Fraud Investigation
What it does
Ranks claims for SIU review and connects shared people, devices, providers, and payments across claims.
Business outcomes
Better-prioritized SIU queues · faster evidence assembly · fewer low-value referrals
Production-backed18 external proof points · 3 named production stacks
Research
Clinical Trial Matching
What it does
Matches patient records against versioned trial criteria and cites the evidence for human screening.
Business outcomes
Faster screening · more eligible candidates surfaced · less manual chart review
Evidence-backed1 external proof point · test deployment
Revenue cycle
Medical Coding
What it does
Recommends codes supported by the clinical record. Flags documentation gaps, modifier issues, and payer edits.
Business outcomes
Faster coding · fewer preventable denials · lower manual review
Production-backed17 external proof points · 2 named production stacks
Utilization management
Prior Authorization Evidence
What it does
Finds payer requirements, matches them against the patient record, and flags missing clinical evidence.
Business outcomes
Fewer information loops · faster submission · less administrative work
Production-backed18 external proof points · 3 named production stacks
Asset maintenance
Predictive Maintenance
What it does
Flags early signs of degradation and prioritizes maintenance by failure risk and operational impact.
Business outcomes
Less unplanned downtime · better maintenance timing · focused technician effort
Production-backed5 external proof points · 1 named production stack
Quality
Defect Detection
What it does
Inspects images and sensor signals for visual and structural defects. Routes uncertain cases to human inspectors.
Business outcomes
Earlier defect detection · fewer escaped defects · lower inspection effort
Opportunity-mapped
Operations
Production Scheduling
What it does
Optimizes job sequence around demand, capacity, materials, labor, maintenance, and changeover constraints.
Business outcomes
Higher on-time delivery · better capacity use · fewer costly changeovers
Opportunity-mapped
Merchandising
Price Forecast
What it does
Forecasts price movements using supplier, market, inventory, demand, and competitive signals.
Business outcomes
Earlier buying decisions · better inventory planning · less margin erosion
Opportunity-mapped
Marketing
Promotion Recommendation
What it does
Estimates incremental response and recommends the offer, audience, channel, and timing.
Business outcomes
More incremental revenue · lower discount waste · better offer timing
Opportunity-mapped
Ecommerce
Purchase Recommendation
What it does
Ranks products for each customer and context using behavior, catalog, inventory, and real-time signals.
Business outcomes
Higher conversion · larger baskets · more relevant product discovery
Production-backed3 external proof points · 2 named production stacks
Platform
Model Routing
What it does
Routes each request across a model portfolio using quality, cost, latency, policy, and fallback rules.
Business outcomes
Lower inference cost · resilient fallback · enforced quality thresholds
Evidence-backed6 external proof points · production validation pending
Engineering
Test Repair
What it does
Separates product regressions from stale tests, proposes repairs, and validates changes in CI.
Business outcomes
Faster CI recovery · less engineering triage · faster merges
Production-backed2 external proof points · 1 named production stack
Customer success
Adoption Prediction
What it does
Scores renewal and expansion risk using product usage, support history, account context, and customer outcomes.
Business outcomes
Earlier churn warning · focused CSM effort · better expansion forecasts
Opportunity-mapped
Bring your use case. We'll build a prototype and buy lunch.
A working session with our team. You bring the problem, we build a model against it, and lunch is on us.
Oumi is here to redefine how you own your AI
A generic model you rent offers no differentiation. It’s expensive at scale, unpredictable, and ultimately outside your control. The winning AI strategy is specialized intelligence you own, built for your business, outperforming frontier models on the tasks that matter, at a fraction of the cost. Oumi automates the entire AI lifecycle, giving you full transparency, flexibility, and ownership.
Industrialized model building
Claude Code, for AI model development
What Claude Code did for software development, Oumi does for AI model development. Evaluation, data synthesis, training, and deployment run automatically from a plain-English description of the task. Your ML engineer builds 100× faster. Your domain expert can build a model.
Built to give you superpowers →
Cost
10x - 100x lower cost to run
A specialized model is 10× to 100× smaller than frontier AI, yet matches or exceeds frontier performance on your task and serves inference for a fraction of the cost. DMG cut theirs by 100×.
Run your numbers →
Up to 50% higher quality
Beat frontier AI on your task
A specialized model trained on your task, your workflow, and your edge cases beats one trained on the public web. DMG went from 72% to 99% validation accuracy.
General loses. Specialized wins →
No black box
See and control every step
Every evaluation result, every training example, and every recipe is inspectable and editable. Trace a behaviour back to the data that caused it; change any recipe before it runs. Full governance and auditability.
Look inside the model →
AI sovereignty
You own it, and you can leave with it
Own the weights, the data, and the recipes, and run them anywhere. No deprecation notices, no pricing changes that break your budget, no quiet updates that degrade your results. Train, deploy, and improve in our environment or inside yours.
Owners compound. Renters don't →
Deploy anywhere
Deploy anywhere: our cloud or yours
Deploy in one click to Oumi’s GPUs that scale with your traffic: zero when it stops, hundreds when it surges. Or deploy in your own infrastructure. Frontier AI only runs in someone else’s cloud. A specialized model goes wherever you need it: a smartphone, an embedded device, your VPC, on-prem.
See deployment options →
The compounding flywheel
Smarter every production run
Production signals feed back into training automatically. Failure modes get found, turned into training data, and retrained on a cadence you control. You are not maintaining a model. You are building an asset.
It closes itself →
Build a DatasetEvaluate a ModelTrain a ModelDeploy a Model
Don't take our word for it
Real models, in production, with the numbers their teams measured.
84.5% → 88.9%
“Oumi enabled us to rapidly develop a specialized model for clinical text that delivers high-precision word sense disambiguation, something general-purpose LLMs struggle to achieve.”
Murali Minnah · Strategy Officer, Wired Informatics
Watch the on-demand interview72% → 99%
invoice validity, at 100× lower cost
“I'm convinced our future is to have our own fine-tuned models. The results have only gotten better.”
Kumar Srinivasan, Chief Product Officer, DMG
$10 → $0.10
per claim classification
“The accuracy has to be near deterministic. Our policy rules don't change based on what the model ate for breakfast.”
Claims Operations Lead, national insurer
52% → 83%
voice authenticity, in 73 minutes
“Oumi enabled us to take our proprietary data and easily create and run custom evaluations on any model. We were also able to start training on our data in minutes.”
Vedad Šoše, CTO & Cofounder, Original Voices
Sonnet 4.5 → Qwen3 8B
+8% coverage, +12% groundedness, at a fraction of the cost
“A research agent that hit cost and latency walls on frontier models, replaced by a custom 8B model approaching Opus-level quality.”
Aurasell
9.4K
GitHub stars, growing daily
“9,400+ developers have starred, forked, and built with Oumi.”
Open source · Apache 2.0
1,690
members in the Oumi Discord
“Practitioners building with Oumi, in the open.”
Community · discord.gg/oumi
Supported by researchers at 14+ institutions
Built by 20+ researchers from Google, Apple, Meta and Microsoft.
The State of
Owned AI
Which AI should you own
Research report · Coming soon
The State of Owned AI: Which AI Should You Own
Where enterprise AI creates proprietary data, measurable value, and a learning advantage.
600+
AI decisions mapped
300+
external proof points
39
real-world implementation stacks analyzed
13,700+
senior leaders represented
15+
benchmarks audited
It's not published yet. Get on the list and you'll read it before everyone else.
