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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.

78 of 580 models

#28 overall · #1 in Logistics

Customs Documentation

Does this shipment's customs documentation contain the correct, complete data needed to generate or validate an accurate customs declaration, and what is the correct HS/HTS tariff classification?

Owned by VP Global Trade Compliance, Chief Supply Chain Officer

Logistics
Build it: Customs DocumentationRead the guide: Customs Documentation

#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
Build it: Shipment ExceptionRead the guide: Shipment Exception

#107 overall · #8 in Cross-industry

URL Risk

Is this URL malicious or phishing, and what action should be taken (block, warn, allow)?

Owned by CISO, Head of Security Operations

Cross-industry
Build it: URL RiskRead the guide: URL Risk

#123 overall

Mortgage Fraud

Does this mortgage application show signs of fraud (income, occupancy, appraisal, or identity misrepresentation) that should block or hold funding?

Owned by Chief Risk Officer, Head of Mortgage Fraud Prevention

Banking
Build it: Mortgage FraudRead the guide: Mortgage Fraud

#124 overall · #5 in Energy · #6 in Manufacturing

Near Miss Detection

Does this reported or sensed event represent a safety near-miss that should be logged, investigated, or acted on before it becomes an incident?

Owned by VP Environmental Health & Safety, Chief Safety Officer

Energy
Build it: Near Miss DetectionRead the guide: Near Miss Detection

#158 overall · #7 in Energy · #7 in Manufacturing

Asset Criticality

How critical is this asset to safety, operations, and financial performance if it were to fail, and how should it be ranked for maintenance and capital planning?

Owned by VP Asset Management, Reliability Director

Energy
Build it: Asset CriticalityRead the guide: Asset Criticality

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.

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