#40 overall
Tax Recommendation
What tax treatment, strategy, or position should be recommended for this transaction or filing?
Owned by Head of Tax, VP Tax
Financial servicesAtlas of AI
Specialized models for every business job, ranked and ready to build.
580 Specialist Models, one per business decision.
83 of 580 models
#45 overall
Agent Coaching
What better response should this support agent give, based on what the best-performing agents do?
Owned by VP Customer Support, Director of Contact Center Operations
#69 overall
Dashboard Recommendation
Given this user's role, past usage, and current business question, which existing dashboard, report, or specific chart/metric should they look at next, instead of building a new one from scratch?
Owned by Chief Data Officer, VP Analytics
Software#72 overall
Dependency Health
Should this dependency be upgraded now, delayed, or replaced?
Owned by VP Engineering, Head of Platform Engineering
Financial services#89 overall
Playbook Recommendation
Which sales playbook, talk track, or next-best-action should this rep use for this specific deal or conversation?
Owned by VP Sales Enablement, CRO
Software#103 overall
Suitability Review
Is this financial product or investment recommendation suitable for this client, given their risk profile, objectives, and regulatory requirements?
Owned by Chief Compliance Officer, Head of Wealth Management
Financial services#119 overall
Labeling Intelligence
What labeling strategy, workforce, and quality controls should this training dataset use?
Owned by VP Machine Learning, Head of Data Operations
#127 overall · #10 in Insurance
Policy Recommendation
Which coverage, limits, and endorsements should be recommended for this applicant or existing policyholder?
Owned by Chief Underwriting Officer, VP Distribution
Insurance#129 overall
Rating Recommendation
What rating tier and rating factors should be applied to this policy, and are they consistent with filed rate plans?
Owned by Chief Underwriting Officer, VP Pricing and Product
Insurance#131 overall
Repair Recommendation
For a damaged vehicle or property, should the asset be repaired, replaced (component-level), or declared a total loss?
Owned by VP Claims, Director Auto Physical Damage
Insurance#136 overall
Cash Advance
How much cash advance should this merchant or customer be offered, at what risk tier and price?
Owned by Chief Risk Officer, VP Revenue Operations
Financial services#138 overall
Credit Memo Generation
What should the first draft of this commercial credit memo say, including risk assessment, mitigants, and a recommendation, before a human analyst refines it?
Owned by Chief Credit Officer, Head of Commercial Banking
Banking#159 overall
Basket Recommendation
Which additional items should be recommended to add to this customer's current basket?
Owned by VP Ecommerce, Head of Merchandising
Retail#169 overall
Compensation Benchmark
What should this role/level/location be paid, and is a specific offer or existing employee's pay within a defensible band?
Owned by Chief People Officer, VP Total Rewards
#188 overall
Endorsement Recommendation
Which policy endorsements should be offered to this policyholder now?
Owned by Chief Underwriting Officer, VP Personal Lines
Insurance#192 overall
Estate Planning Intelligence
Does this client's estate plan have gaps, outdated elements, or tax-inefficient structures that warrant a planning recommendation?
Owned by Head of Wealth Management, Chief Fiduciary Officer
#193 overall
Evaluation Recommendation
What should humans label next to close the biggest gaps in model coverage and evaluation?
Owned by Head of AI/ML Platform, VP Data Science
#200 overall
Expansion Recommendation
Which existing accounts are ready for expansion, and what should be recommended (upsell, cross-sell, or seat growth)?
Owned by VP Customer Success, Chief Revenue Officer
Software#204 overall
Guest Personalization
What room, amenity, offer, or experience should be recommended or proactively arranged for this specific guest?
Owned by Chief Guest Experience Officer, VP Revenue Management
#211 overall
Learning Recommendation
What should this learner study or complete next, given their goals, role, and progress?
Owned by Chief Learning Officer, VP Learning and Development
#219 overall
Metric Recommendation
Given this user's role, goal, or current dashboard, which metrics should they track or investigate next?
Owned by VP Data, Head of Analytics
Retail#223 overall
Offer Recommendation
Which offer, discount, or product bundle should be presented to this customer at this moment to maximize accepted value without eroding margin?
Owned by Chief Marketing Officer, VP Growth Marketing
Financial services#227 overall
Outside Counsel Recommendation
Which outside law firm and which specific attorneys should be engaged for this matter, at what budget?
Owned by General Counsel, Deputy General Counsel
#230 overall
Portfolio Recommendation
What specific portfolio adjustment should be recommended to this client or advisor right now, and why?
Owned by Head of Wealth Management, Chief Investment Officer
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.