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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.

65 of 580 models

#27 overall · #3 in Banking

Covenant Intelligence

What are the exact covenant definitions, thresholds, defined terms, and cross-references contained in this loan agreement, and how should they be structured for downstream compliance tracking?

Owned by Chief Credit Officer, Head of Loan Documentation

Banking
Build it: Covenant IntelligenceRead the guide: Covenant Intelligence

#38 overall · #5 in Banking · #10 in Financial services

SAR Narrative

Does the activity warrant a suspicious activity report, and how should the narrative be documented?

Owned by BSA/AML Officer, Head of Financial Crime

Banking
Build it: SAR NarrativeRead the guide: SAR Narrative

#118 overall · #10 in Banking

KYB

Should this business be approved for onboarding, and at what risk tier?

Owned by Chief Compliance Officer, Head of BSA/AML

Banking
Build it: KYBRead the guide: KYB

#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

#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
Build it: Dispute TriageRead the guide: Dispute Triage

#222 overall

Network Fraud

Do these seemingly separate accounts, transactions, or claims belong to a coordinated fraud ring, and what should be done about the network as a whole?

Owned by Chief Risk Officer, Head of Financial Crime

Banking
Build it: Network FraudRead the guide: Network Fraud

#280 overall

Friendly Fraud

Is this chargeback a genuine case of friendly fraud (customer disputes a legitimate charge), true third-party fraud, or a merchant/service error, and should it be disputed?

Owned by Head of Fraud, VP Payments Risk

Banking
Build it: Friendly FraudRead the guide: Friendly Fraud

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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