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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.

21 of 580 models

#101 overall · #2 in Logistics · #6 in Retail

Shipment Exception

What type of shipment exception has occurred (damage, loss, customs hold, misdelivery, refusal), and what resolution path should it be routed to?

Owned by VP Supply Chain, Director of Logistics Operations

Logistics

#111 overall · #8 in Insurance

Claims Triage

Which handling path, adjuster skill, initial reserve, priority, and automation level should a newly reported claim receive?

Owned by Chief Claims Officer, VP Claims

Insurance

#183 overall

Dispute Triage

Which internal team (customer service, merchant risk, card network liaison, or operations) should handle this payment dispute, based on its type and complexity?

Owned by VP Payments Operations, Director of Disputes and Chargebacks

Banking

#421 overall · #9 in Logistics

Dispatch

Which available technician, driver, or vehicle should be dispatched to which job next, given location, skills, urgency, and estimated time of arrival?

Owned by VP Field Operations, Director of Dispatch

Energy

#435 overall

Escalation Routing

When an AI agent conversation needs to escalate to a human, which human, team, or queue should it be routed to, given required skills, current workload, and urgency?

Owned by VP Contact Center, Director of Workforce Management

Financial services

#450 overall

Fleet Routing

Which vehicle and driver should be assigned to which job or stop, in what order, given time windows, capacity, driver hours, and current traffic?

Owned by VP Logistics, Director of Fleet Operations

Logistics

#454 overall

Fuel Optimization

What routing, speed, load, and fueling-stop plan minimizes fuel cost and emissions for this vehicle or fleet without violating delivery or hours-of-service constraints?

Owned by VP Fleet Operations, Chief Supply Chain Officer

Energy

#457 overall

Haul Route

What haul route and sequencing should this vehicle or fleet follow to minimize cycle time, cost, and equipment wear while meeting site and safety constraints?

Owned by VP Fleet/Site Operations, Director of Logistics

Logistics

#498 overall

Order Routing

Which fulfillment location, carrier, and shipping method should handle this order to minimize cost and delivery time while meeting service commitments?

Owned by VP Supply Chain, Director of Fulfillment Operations

Logistics

#503 overall

Payment Routing

Which processor, acquiring bank, or payment rail should handle this transaction to maximize authorization rate and minimize cost?

Owned by VP Payments, Head of Payments Infrastructure

Financial services

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.

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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.