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Oumi AI

Atlas of AI

Specialized models for every business job, ranked and ready to build.

Find AI worth owning

580 Specialist Models, one per business decision.

56 of 580 models

#4 overall · #2 in Healthcare · #1 in Financial services · #2 in Software

Code Review

Should this code be merged, and what must change first?

Owned by VP Engineering, Head of Developer Productivity

Healthcare
Build it: Code ReviewRead the guide: Code Review

#36 overall · #9 in Financial services

Response Planning

Given the classified intent, retrieved context, and available tools, what is the best next action or response plan for the AI agent to take in this turn?

Owned by Head of Conversational AI, VP Contact Center

Healthcare
Build it: Response PlanningRead the guide: Response Planning

#48 overall · #5 in Insurance

Appeals Generation

Can this denied claim be appealed, and what appeal letter and evidence package gives it the best chance of being overturned?

Owned by VP Revenue Cycle Management, Director of Denials Management

Healthcare
Build it: Appeals GenerationRead the guide: Appeals Generation

#51 overall · #1 in Retail

Board Narrative

What narrative commentary and talking points should accompany this quarter's board materials given the underlying financial and operational results?

Owned by Chief Financial Officer, VP Financial Planning & Analysis

Healthcare
Build it: Board NarrativeRead the guide: Board Narrative

#135 overall · #6 in Energy

Billing Dispute

Is this customer's billing dispute valid, and what resolution (credit, partial refund, deny, escalate) should be applied?

Owned by VP Billing Operations, Director of Customer Support

Healthcare
Build it: Billing DisputeRead the guide: Billing Dispute

#139 overall

Dependency Upgrade

Given a decision to upgrade this dependency has already been made, what are the exact code changes, migration steps, and validation needed to complete the upgrade safely?

Owned by VP Engineering, Head of Platform Engineering

Healthcare
Build it: Dependency UpgradeRead the guide: Dependency Upgrade

Choose 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.

  • 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: Qwen

  • 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: DeepSeek

  • 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: Llama

  • 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: Mistral

  • 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

    Profile: Gemma

Oumi benchmark data is coming. We’ll add reproducible task benchmarks once the evaluation recipe, model version, dataset, hardware, and scoring criteria are published.

Find the AI your company should own.

Enter your work email. Get a shortlist of Specialist Models matched to your company, in about 30 seconds.

Find AI worth owning

Enter your work email · We work out your industry · Get your shortlist, then build one

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.

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