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.

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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.

AQ
Catalog evaluation

Business intelligence

Amazon Quick Sight

Amazon Quick Sight is the business intelligence component of Amazon Quick. It connects enterprise data sources for analysis, dashboards, reports, and embedded analytics, while adding natural-language exploration and generative BI capabilities for users with the appropriate Quick Sight roles.

DashboardsEmbedded analyticsNatural language queriesData sourcesGenerative BI
Review
PO
Catalog evaluation

Embedded analytics

Polymer

Polymer is an embedded analytics platform for product teams that want to add branded, self-service dashboards to their applications. It connects to databases, warehouses, and business tools, then provides visualizations, configurable reports, user permissions, and AI-assisted insights through its interface and API.

Embedded dashboardsData connectorsAPI integrationWhite-label analyticsAI insights
Review
SU
Catalog evaluation

Data analytics

Superluminal

Superluminal provides an API and React component for adding a conversational data interpreter to a product dashboard. It processes questions about dashboard data, dynamically writes and executes Python for analysis, and can return insights, charts, filtered views, pivots, and editable data.

Data dashboardsNatural language queryingPythonData visualizationAPI
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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