#109 overall
AI Cost Optimization
Which model, cache, or batching strategy should handle this inference request at the lowest cost while still meeting its latency and quality SLA?
Owned by VP AI Platform, Head of ML Infrastructure
SoftwareAtlas of AI
Specialized models for every business job, ranked and ready to build.
580 Specialist Models, one per business decision.
58 of 580 models
#238 overall
Refund Optimization
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
Financial services#289 overall
Cost Optimization
Which specific cloud, SaaS licensing, or vendor-contract changes should the company make to reduce spend without degrading service?
Owned by VP FinOps, Head of Cloud Infrastructure
Software#335 overall
FX Optimization
When, how, and through which venue or counterparty should this foreign-currency exposure or payment be executed to minimize cost and risk?
Owned by Treasurer, VP Treasury Operations
Banking#344 overall
Treasury Investment
How should excess cash and treasury assets be allocated across investment instruments to balance yield, liquidity, and risk?
Owned by Treasurer, VP Treasury
Banking#346 overall
Treaty Optimization
How should reinsurance treaty terms and structure be optimized (retention levels, layer pricing, ceding percentages) for this insurer's risk portfolio?
Owned by Chief Actuary, VP Reinsurance
Insurance#351 overall
Advertising Optimization
How should ad spend, bids, and creative/channel mix be allocated across campaigns to maximize performance?
Owned by VP Marketing, Head of Performance Marketing
#358 overall
Assortment Optimization
Given a selected product assortment, how should quantities, shelf space, and markdown/replenishment timing be set to maximize sales and margin within space and inventory constraints?
Owned by Chief Merchandising Officer, VP Supply Chain / Inventory Planning
Retail#366 overall
Blast Optimization
When, how often, and at what volume should this mass email/SMS campaign be sent to maximize engagement while minimizing fatigue and unsubscribes?
Owned by VP Lifecycle Marketing, Head of CRM/Retention Marketing
Financial services#370 overall
Budget Allocation
Where should the next corporate dollar go across departments, cost centers, and initiatives for the current planning cycle?
Owned by CFO, VP Financial Planning and Analysis
Cross-industry#371 overall
Budget Reallocation
Given current performance against plan, how should remaining budget be reallocated across departments, campaigns, or initiatives for the rest of the period?
Owned by CFO, VP FP&A
Cross-industry#373 overall
Campaign Budget Allocation
Where should the next marketing dollar go across channels, campaigns, and audiences to maximize return?
Owned by CMO, VP Marketing
#375 overall · #7 in Logistics
Capacity Optimization
How much staffing or resource capacity should be scheduled to meet forecasted demand at the target service level and cost?
Owned by VP Operations, Director of Workforce Management
Logistics#387 overall
Cloud Cost Optimization
Where should we cut, rightsize, or commit cloud spend without hurting reliability?
Owned by VP Cloud Infrastructure, Chief Information Officer
Financial services#405 overall
Crew Scheduling
Which pilots and cabin crew should be assigned to which flights over the planning horizon, while satisfying duty-time, rest, qualification, and labor-agreement constraints?
Owned by VP Crew Operations, Chief Operations Officer
#418 overall
Demand Response
Which customers or loads should be selected for curtailment or incentive during a demand-response event, and by how much?
Owned by VP Grid Operations, Head of Demand-Side Management
Energy#422 overall · #10 in Logistics
Dock Scheduling
Which trucks should be assigned to which loading dock time slots to minimize wait time and dock congestion?
Owned by VP Supply Chain, Director of Warehouse Operations
Logistics#431 overall
Emissions Optimization
How should generation and dispatch be allocated across available assets to balance cost, emissions, and reliability over the next planning window?
Owned by VP Grid Operations, Chief Sustainability Officer
Energy#435 overall
Escalation Routing
When an AI agent conversation needs to escalate to a human, which human, team, or queue should it be routed to, given required skills, current workload, and urgency?
Owned by VP Contact Center, Director of Workforce Management
Financial services#450 overall
Fleet Routing
Which vehicle and driver should be assigned to which job or stop, in what order, given time windows, capacity, driver hours, and current traffic?
Owned by VP Logistics, Director of Fleet Operations
Logistics#454 overall
Fuel Optimization
What routing, speed, load, and fueling-stop plan minimizes fuel cost and emissions for this vehicle or fleet without violating delivery or hours-of-service constraints?
Owned by VP Fleet Operations, Chief Supply Chain Officer
Energy#456 overall
Harvest Planning
When and in what sequence should each field or block be harvested to maximize yield quality and value while meeting labor, equipment, and logistics constraints?
Owned by VP Farm Operations, Director of Agronomy
#465 overall
Intelligent Retry
When, where, and how should a failed payment be retried?
Owned by VP Payments, Head of Payments Engineering
Banking#468 overall
Inventory Optimization
What should safety stock, reorder points, and order quantities be for each SKU-location right now?
Owned by Chief Supply Chain Officer, VP Inventory Planning
LogisticsChoose 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.