#3 overall · #1 in Software
API Migration
Does this codebase's usage of a legacy API/SDK/vendor need to change, and what is the safe migration path?
Owned by VP Engineering, Director of Developer Productivity
SoftwareAtlas of AI
Specialized models for every business job, ranked and ready to build.
580 Specialist Models, one per business decision.
161 of 580 models
#4 overall · #2 in Software · #1 in Financial services · #2 in Healthcare
Code Review
Should this code be merged, and what must change first?
Owned by VP Engineering, Head of Developer Productivity
Software#12 overall · #3 in Software
Test Generation
What test cases should be generated for this code change or feature to ensure adequate coverage?
Owned by VP Engineering, Head of QA
Software#13 overall · #4 in Software
Architecture Review
Does this proposed system/software architecture design meet internal standards and best practices, and what risks should be resolved before implementation begins?
Owned by VP Engineering, Chief Architect
Software#15 overall · #5 in Software
Build Failure
Given a CI/build failure log, what is the root cause and the fix?
Owned by VP Engineering, Head of Developer Productivity
Software#22 overall · #6 in Software
Code Planning
Given a coding task or request, what is the multi-step plan (files to touch, order of edits, subtasks) before any code is written?
Owned by VP Engineering, Head of Developer Productivity
Software#30 overall · #7 in Software
Escalation Decision
Should this case be escalated to a human right now, or should the agentic workflow continue?
Owned by VP Customer Support, Chief Customer Officer
Software#39 overall · #8 in Software
Support Resolution
What is the best complete resolution for this customer issue?
Owned by VP Customer Support, Chief Customer Officer
Software#41 overall · #9 in Software
Tool Selection
Which tool, API, or system (MCP server, CRM, billing, orders, internal API) should the agent call to handle this request?
Owned by Head of AI/ML, VP Engineering
Software#44 overall · #10 in Software
Adoption Intelligence
How deeply and in what ways is this customer actually using the product today, and where are the adoption gaps?
Owned by Chief Customer Officer, VP Customer Success
Software#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
Software#47 overall
API Support
What is the correct answer to this developer's integration, SDK, authentication, webhook, or error question?
Owned by VP Developer Experience, Head of Developer Support
Software#49 overall
Attack Path
Which chain of identity, network, and cloud weaknesses would let an attacker reach a crown-jewel asset from a given entry point?
Owned by CISO, VP Security Engineering
Software#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
Software#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
Software#53 overall
Bug Localization
Which file(s), function(s), or commit(s) in this codebase are most likely responsible for this bug or failing test?
Owned by VP Engineering, Director of Developer Productivity
Software#55 overall
Buying Committee
Who actually decides on this deal, who is the champion, economic buyer, and blockers, and how much influence does each stakeholder really hold?
Owned by VP Sales, Chief Revenue Officer
Software#57 overall
Call Intelligence
What happened on this sales call, and what does it mean for this deal, this rep, and this pipeline?
Owned by VP Sales, Chief Revenue Officer
Software#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
Software#68 overall
Customer Journey
Where in the end-to-end customer journey are customers hitting friction, dropping off, or reaching moments that predict downstream outcomes?
Owned by VP Customer Experience, Chief Marketing Officer
Software#69 overall
Dashboard Recommendation
Given this user's role, past usage, and current business question, which existing dashboard, report, or specific chart/metric should they look at next, instead of building a new one from scratch?
Owned by Chief Data Officer, VP Analytics
Software#70 overall
Data Exposure
Where is sensitive data exposed across our cloud environment, and how severe is each exposure?
Owned by CISO, VP Cloud Security
Software#71 overall
Dataset Quality
Is this dataset fit to train or fine-tune a model, or does it need remediation first?
Owned by VP AI/ML Engineering, Head of Machine Learning
Software#72 overall
Dependency Health
Should this dependency be upgraded now, delayed, or replaced?
Owned by VP Engineering, Head of Platform Engineering
SoftwareChoose 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.