#305 overall
PR Risk
Will this pull request cause a production incident, and who should review it before it merges?
Owned by VP Engineering, Head of Platform Engineering
Financial servicesAtlas of AI
Specialized models for every business job, ranked and ready to build.
580 Specialist Models, one per business decision.
96 of 580 models
#319 overall
Attachment Risk
What is the probability and expected severity that losses on this policy layer will pierce (attach to) a given attachment point?
Owned by Chief Underwriting Officer, Head of Excess and Surplus Lines
Insurance#323 overall
Borrower Risk Prediction
Will this borrower's credit quality deteriorate, and when?
Owned by Chief Credit Officer, Chief Risk Officer
Banking#324 overall
Capital Planning
Which capital investments should be funded, and in what order, given constrained capital and competing projects?
Owned by Chief Financial Officer, VP Finance
Banking#325 overall
Case Assessment
What is this legal case's likely strength, cost, timeline, and settlement value?
Owned by General Counsel, Head of Litigation
Insurance#326 overall
Chronic Disease Prediction
Which patients are at elevated risk of developing or progressing in a chronic disease, and when?
Owned by Chief Medical Officer, VP Population Health
Healthcare#330 overall
Credit Risk
For a given corporate or sovereign issuer in the portfolio, what is the probability of default, ratings downgrade, and credit-spread widening over the forecast horizon?
Owned by Chief Credit Officer, Head of Credit Research
Banking#331 overall
Denial Prediction
Will the payer deny this claim, and if so, why, and what correction would prevent it?
Owned by VP Revenue Cycle, Chief Revenue Cycle Officer
Healthcare#332 overall
Financial Forecast
What will revenue, cash position, and key financial variances be over the coming period(s)?
Owned by CFO, VP Finance
Financial services#345 overall
Treasury Risk
What is this bank or corporate's treasury risk exposure across FX, interest rate, counterparty, and liquidity dimensions, and where should hedging or mitigation focus?
Owned by Treasurer, Chief Risk Officer
Banking#347 overall
Workflow Prediction
Given the current state of a multi-step agentic conversation, how many more steps are likely needed, which steps, and what is the likely outcome?
Owned by VP Contact Center, Head of Workforce Management
#349 overall
Account Takeover
Is this account at high risk of takeover before compromise occurs, and what preventive action (step-up authentication, block, alert) should trigger?
Owned by Chief Risk Officer, VP Fraud and Trust & Safety
Financial services#350 overall
Adoption Prediction
Will this customer adopt, expand, or renew, or is it at risk of stalling or churning?
Owned by Chief Customer Officer, VP Customer Success
Software#353 overall
Aircraft Health
Which aircraft system or component is degrading, when is it likely to fail or require maintenance, and what action should be taken?
Owned by VP Maintenance and Engineering, Director of Reliability
#356 overall
Asset Health
Which generation or grid asset is at elevated risk of failure, and what action should be taken before it fails?
Owned by VP Asset Management, Director of Generation Reliability
Energy#359 overall
Attrition Prediction
Which customers are at risk of churning or canceling, and when?
Owned by Chief Customer Officer, VP Customer Success
Software#361 overall
Audience Forecast
How large will the audience be for a given piece of content (show, film, or channel), and how should that inform investment, scheduling, and ad-inventory planning?
Owned by Chief Content Officer, VP Content Strategy
#374 overall · #6 in Logistics
Capacity Forecast
How much capacity, compute, staff, inventory, network, or warehouse space, will be needed over the next planning horizon, and where is a shortfall or surplus likely to occur?
Owned by VP Operations, Head of Infrastructure
Cross-industry#375 overall · #7 in Logistics
Capacity Optimization
How much staffing or resource capacity should be scheduled to meet forecasted demand at the target service level and cost?
Owned by VP Operations, Director of Workforce Management
Logistics#376 overall · #8 in Logistics
Capacity Planning
How much capacity (staff, infrastructure, or inventory) will we need over the coming planning horizon?
Owned by VP Operations, Chief Operating Officer
Energy#377 overall
Cash Forecast
How much cash will we have, and when?
Owned by VP Treasury, Treasurer
Financial services#378 overall
Catastrophe Exposure
How exposed is the portfolio to catastrophe losses across perils, and where are the concentration hotspots that should inform underwriting, pricing, and reinsurance buying?
Owned by Head of Catastrophe Modeling, Chief Actuary
Insurance#380 overall
Change Risk
Should this code/infrastructure change be deployed now, delayed, or blocked?
Owned by VP Engineering, Head of Platform Engineering
Software#381 overall
Chargeback Prediction
How likely is this transaction to result in a chargeback dispute?
Owned by VP Payments, Head of Fraud and Risk
Financial servicesChoose a model you can own.
Model leaderboards are a starting point. The decision is your task, your output contract, your hardware, and your right to deploy. This directory turns that into a short list you can test.
- Profile: Qwen
Qwen
Alibaba Cloud · China
Qwen is Alibaba Cloud’s open-weight model family. It spans small models that are practical to fine-tune through larger mixture-of-experts releases.
Active in Oumi - Profile: DeepSeek
DeepSeek
DeepSeek · China
DeepSeek publishes open-weight language models, including large mixture-of-experts systems. The family is often shortlisted where reasoning and coding matter.
Listed by Oumi - Profile: Llama
Llama
Meta · United States
Llama is Meta’s open-weight model family. Its wide ecosystem makes it a familiar baseline for teams evaluating or fine-tuning their first custom model.
Listed by Oumi - Profile: Mistral
Mistral
Mistral AI · France
Mistral is a European model family spanning open-weight and commercial releases. The right starting point depends on the exact release and deployment constraints.
Listed by Oumi - Profile: Gemma
Gemma
Google · United States
Gemma is Google’s open-weight model family. It includes compact checkpoints that can be useful when hardware limits and deployment footprint drive the decision.
Listed by Oumi
Oumi benchmark data is coming. We’ll add reproducible task benchmarks once the evaluation recipe, model version, dataset, hardware, and scoring criteria are published.
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Questions about the Atlas
What is the Atlas of AI?
The Atlas of AI is a directory of specialist-model opportunities organized around business decisions and tasks. It helps you explore where a focused model may create value, then move toward evaluation and ownership.
How do I find a Specialist Model for my business task?
Start with the business decision or repeated workflow you want to improve, then use Atlas filters and rankings to narrow the relevant category. Treat the result as a discovery hypothesis and validate it against your data, evaluation criteria, and deployment needs.
Which open-weight model should I start from?
Start with the open-weight model that fits your task, quality target, context needs, license, hardware, and deployment constraints. There's no single best model for every workflow, so use Atlas evidence and your own evaluation set.
What evidence supports each Specialist Model listing?
A listing is a structured starting point grounded in the task, model, benchmark, or other evidence shown with it. Review the evidence and run your own evaluation before treating a listing as a production recommendation.
Can I build a Specialist Model directly from the Atlas?
The Atlas helps identify a promising task and starting model. From there, use Oumi's build and evaluation workflow to define behavior, assemble data, test the model, and decide whether to train and deploy it.
Pick a Specialist Model. Oumi plans the build.
Start free in the platform, or talk to us about your task.