Enterprise AI buying is broken.
Three patterns every CIO, CISO, and AI buyer will recognise.
Context. Discover. Decide.
Three stages. One platform. Replaces the stitched-together workflow of marketing sites, analyst PDFs, and shared spreadsheets.
Set context
Build your company profile once. Industry, risk tolerance, compliance requirements, and AI maturity — every recommendation adjusts to fit.
Discover & compare
Browse 800+ vendors across four lenses. Compare side-by-side with capability scoring and AI Due Diligence signals.
Decide
Score solutions with context-fit weighting. Design your target stack. Export the decision record your CIO, CISO, and procurement will sign.
Everything you need to decide on AI vendors.
Six capabilities, one integrated platform. From discovery to due diligence to a signed-off procurement decision — without the spreadsheet chaos.
Business Context
Build your company profile once — industry, risk tolerance, compliance requirements, AI maturity. Every recommendation, comparison, and shortlist automatically adjusts to fit.
Vendor Comparison
Side-by-side scoring across 1,700+ capabilities. Weight what matters, filter the rest, and export a shareable report.
AI Due Diligence
Classification, dependency risk, data sovereignty, and three trust scores on each profiled vendor — Model Independence, Learning Loop, Data Sovereignty. Defensible to procurement.
Technology Stack
Map the AI tools you run today. See capability gaps, surface where you may be paying twice for overlapping tools, and get a ranked plan to consolidate.
Solution Scoring
Structured RFI and weighted scoring with business context-fit built in. Capture rationale, collaborate with stakeholders, and export the decision record.
MCP & API
Query the full catalog from Claude, Cursor, Cline, or any MCP-compatible AI assistant — or hit the Catalog API over HTTP. Included in Premium.
Real vendor scores and capability matrices.
Sample from AI Security. Sign up to see every category, every vendor, every score.
The due diligence analyst reports don't publish.
Compare to the hero above: Harvey is AI-native but high-dependency — it builds on frontier model APIs. Anthropic is AI-native with low dependency because it owns its model stack end-to-end. Same "ai-native" label, very different durability. That architectural nuance is what DD surfaces.
- Classification: AI-native, AI-augmented, or AI-overlay
- Dependency risk: what breaks if a provider changes
- Model ownership, Data moat, Continuous Learning
- 3 quantitative trust scores on a 1–10 scale (Model Independence, Learning Loop, Data Sovereignty)
Anthropic
Four ways to find vendors.
Same 800+ vendor dataset, four entry points. Start from wherever your question begins.
By Industry
25 industries, 140+ vertical categories. Answers "what do banks — or logistics companies, or healthcare systems — actually use?".
By Challenge
10 outcome domains, 116 business challenges. Answers "I need to reduce fraud" or "speed up financial close".
By Solution
15 foundational AI categories. Answers "show me all the LLM gateways, vector databases, or agent frameworks".
By Vendor
800+ companies, searchable directly. Answers "what does Salesforce, Cohere, or Harvey actually sell?".
Query vendors, solutions, capabilities, and AI Due Diligence data directly from Claude, Cursor, Cline, or any MCP-compatible assistant — 18 read-only tools. Included in Premium.
Free to explore. Paid plans for the full platform.
Pay monthly or yearly — yearly saves 20%.
Research every vendor and solution, with AI Due Diligence signals.
Sign up free- AI Due Diligence on 730+ vendors
- Four discovery lenses
- Compare up to 3 vendors
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Frequently asked
Your AI stack has gaps. Find them in 2 minutes.
800+ vendors. Independent AI Due Diligence. Free to start.
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