#4 overall · #1 in Financial services · #2 in Healthcare · #2 in Software
Code Review
Should this code be merged, and what must change first?
Owned by VP Engineering, Head of Developer Productivity
Financial servicesAtlas of AI
Specialized models for every business job, ranked and ready to build.
580 Specialist Models, one per business decision.
130 of 580 models
#14 overall · #2 in Financial services · #2 in Insurance
Brief Generation
What does the evidence support, and can every claim in this draft be traced to a source?
Owned by General Counsel, Head of Compliance
Financial services#16 overall · #3 in Financial services
CIM Intelligence
What are the key facts, risks, and red flags in this Confidential Information Memorandum, and does the deal merit further diligence?
Owned by Managing Director, VP Private Equity
Financial services#24 overall · #4 in Financial services
Communications Surveillance
Does this employee communication indicate a compliance or conduct risk that warrants review?
Owned by Chief Compliance Officer, Head of Surveillance
Financial services#26 overall · #5 in Financial services · #8 in Healthcare
Conversation QA
Did the agent or AI handle the interaction correctly?
Owned by VP Contact Center, Director of QA
Financial services#29 overall · #6 in Financial services
Earnings Call Intelligence
What actually changed in management's tone, guidance, and competitive positioning this quarter, and how does it compare to prior calls?
Owned by Director of Research, Portfolio Manager
Financial services#34 overall · #7 in Financial services · #10 in Healthcare
Regulatory Submission
Is this regulatory submission package complete, internally consistent, and ready to file with the relevant authority?
Owned by VP Regulatory Affairs, Chief Compliance Officer
Financial services#35 overall · #8 in Financial services
Resolution Confidence
How confident should the system be that an AI agent's proposed resolution or answer is correct and safe to send to the customer without human review?
Owned by VP Contact Center, Chief Compliance Officer
Financial services#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
Financial services#38 overall · #10 in Financial services · #5 in Banking
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
Financial services#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 services#46 overall
API Compatibility
Is this API change backward-compatible, and if not, what will break for existing consumers?
Owned by VP Engineering, Head of Developer Platform
Financial services#50 overall · #1 in Energy
Billing Intelligence
Is this account, plan, or usage record being billed incorrectly, and should it be flagged for correction before the customer notices?
Owned by VP Revenue Assurance, Chief Financial Officer
Financial services#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
Financial services#52 overall · #2 in Retail
Brand Health
How is our brand's health (awareness, sentiment, share-of-voice, perception) trending, and does a shift require a brand-strategy response?
Owned by Chief Marketing Officer, VP Brand Marketing
Financial services#62 overall · #6 in Banking
Chargeback Evidence
Can we win this chargeback dispute, and what evidence packet should we submit?
Owned by VP Payments Operations, Head of Fraud
Financial services#64 overall · #3 in Retail
Cloud Exposure
Which of our cloud assets are actually reachable from the public internet, and which of those are genuinely at risk?
Owned by Chief Information Security Officer, VP Security Engineering
Financial services#72 overall
Dependency Health
Should this dependency be upgraded now, delayed, or replaced?
Owned by VP Engineering, Head of Platform Engineering
Financial services#78 overall
Invoice Intelligence
Can this invoice be paid, approved, held, or flagged as a mismatch or fraud risk?
Owned by Controller, VP Finance
Financial services#79 overall
Legacy Code Modernization
Can this legacy codebase be translated and refactored into a modern language and architecture while preserving behavior?
Owned by Chief Technology Officer, VP Application Modernization
Financial services#81 overall
Merchant Underwriting
Should the platform onboard a merchant, and under what reserves, limits, and monitoring controls?
Owned by Head of Merchant Risk, Chief Risk Officer
Financial services#86 overall
Phishing Detection
Is this email/message a phishing or social-engineering attempt, and what action should be taken?
Owned by CISO, VP Security Engineering
Financial services#88 overall
Pitchbook Intelligence
What are the key facts, risks, and comparables in this pitch deck or investment memo, and how does it compare to the existing portfolio/market?
Owned by Head of Investment Research, Partner
Financial services#90 overall
Policy Compliance
Does this document, transaction, or communication comply with applicable internal policy and regulatory requirements?
Owned by Chief Compliance Officer, VP Compliance
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.