Specialized models for every business job, ranked and ready to build.
62 of 580 models
#51 overall · #1 in Retail
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
Retail#52 overall · #2 in Retail
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
Retail#64 overall · #3 in Retail
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
Retail#85 overall · #4 in Retail
Given this query and this user's context, which results should rank first?
Owned by VP Product, Head of Search
Retail#94 overall · #5 in Retail · #1 in Manufacturing
Which candidates for an open role should a recruiter review first, and how well does each match the role's defined requirements?
Owned by Chief Human Resources Officer, VP Talent Acquisition
Retail#101 overall · #6 in Retail · #2 in Logistics
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
Retail#104 overall · #7 in Retail · #4 in Manufacturing
How well is this supplier performing on an ongoing operational basis, on-time delivery, quality, and responsiveness?
Owned by VP Procurement, Supply Chain Director
Retail#112 overall · #8 in Retail
Which cloud configuration settings violate security best practice or policy, regardless of whether they're currently exposed?
Owned by Chief Information Security Officer, VP Cloud Security
Retail#128 overall · #9 in Retail
Is this promotional redemption, coupon use, or referral legitimate, or does it represent abuse that should be blocked, clawed back, or investigated?
Owned by VP Trust & Safety, Head of Growth Marketing
Retail#145 overall · #10 in Retail
What are the key legal and financial terms of this lease, and are they consistent with the portfolio's abstraction standard?
Owned by VP Real Estate, Head of Lease Administration
Retail#159 overall
Which additional items should be recommended to add to this customer's current basket?
Owned by VP Ecommerce, Head of Merchandising
Retail#162 overall
What narrative arc, headline, and call-to-action should this campaign use to reach its target audience?
Owned by CMO, VP Marketing
Retail#179 overall
What are customers telling us, and which themes, requests, and emerging issues need attention now?
Owned by VP Product, Chief Customer Officer
Retail#217 overall
How much revenue credit should each marketing touchpoint receive for a given conversion?
Owned by VP Marketing, Head of Marketing Analytics
Retail#219 overall
Given this user's role, goal, or current dashboard, which metrics should they track or investigate next?
Owned by VP Data, Head of Analytics
Retail#223 overall
Which offer, discount, or product bundle should be presented to this customer at this moment to maximize accepted value without eroding margin?
Owned by Chief Marketing Officer, VP Growth Marketing
Retail#238 overall
Should this customer be refunded, how much, and through which method, refund, replacement, credit, or escalation?
Owned by VP Customer Operations, Head of Customer Experience
Retail#245 overall
Did this store visit meet the required execution standard (planogram compliance, promotional setup, task completion), and what corrective action is needed?
Owned by VP Field Sales, Director of Retail Execution
Retail#247 overall
What themes, defects, and sentiment are customers actually expressing across product/service reviews, and which issues need action?
Owned by VP Product Marketing, Head of Customer Insights
Retail#256 overall
Which content/keyword opportunities should the marketing team prioritize to gain organic search and AI-answer-engine visibility?
Owned by VP Marketing, Head of SEO
Retail#257 overall
What products, prices, and shelf positions are actually present on this shelf, and how does that compare to what should be there?
Owned by VP Category Management, Director of Shopper Insights
Retail#280 overall
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
Retail#290 overall
How should this customer's experience, content, and offers be adapted based on their behavior and history?
Owned by VP Growth, Chief Marketing Officer
Retail#308 overall
Is this product return fraudulent or abusive, and should it be approved, denied, or flagged for review?
Owned by VP Loss Prevention, Head of Customer Operations
RetailModel 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.
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
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
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
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
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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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.
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.
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.
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.
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.
Start free in the platform, or talk to us about your task.
