AI tool intelligence

Find the right AI products for the work.

Our live catalog contains 2,444 researched AI products. Each record keeps current product positioning, fit, limitations, pricing signals, and official destinations together for a clearer decision.

Search products, capabilities, and workflowsBrowse the index ↓
2,444AI products in the catalog
DatedAvailability and evidence checks
IndependentFit, limitations, and alternatives

Public AI tool catalog

Search this public selection by the work you need to improve.

Search the complete catalog by product, capability, workflow, category, or tag. Every result opens a profile built from the same live record.

DM
Catalog evaluation

Machine learning

Databricks Mosaic AI Training

Databricks Mosaic AI Training is the current Databricks service and tooling for training and deploying large AI models. Formerly MosaicML, it provides a command-line interface and Python SDK for training runs, pretraining, fine-tuning, cloud data access, and developer-tool integrations.

Large Language ModelsModel TrainingModel Fine-TuningPython SDKMulti-Cloud
Review
LO
Catalog evaluation

Code generators

Locofy

Locofy converts designs from Figma and Penpot into structured frontend code. Designers and developers can work through a plugin, command-line interface, MCP integration, or design URL, then refine generated output and integrate it with workflows such as GitHub Sync or code export.

FigmaPenpotGitHub SyncCommand line interfaceMCP
Review
RU
Discontinued record

Developer tools

RunMat

RunMat is a GPU-accelerated runtime and workspace for running MATLAB-syntax code in a browser, desktop app, or CLI. It combines numerical execution, interactive plotting, diagnostics, project versioning, and collaboration for engineering and scientific computation.

MATLAB compatibilityGPU accelerationCommand line interfaceDesktop appCollaborative projects
Review

How the index works

A catalog built for decisions, not rankings.

Commercial relationships can fund the research. They never change product status, fit, limitations, evidence, or the alternatives we show.

Verify what exists

We check availability, product direction, pricing signals, and when the supporting evidence was last reviewed.

Evaluate operational fit

We assess the work it supports, integration requirements, ownership, risk, and where human judgment remains necessary.

Keep the comparison honest

Commercial relationships are disclosed, while credible limitations and alternatives stay visible.

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