Enterprise AI buying is broken.
Three patterns every CIO, CISO, and AI buyer will recognize.
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 700+ vendors across four lenses. Compare side-by-side with capability scoring and AI Due Diligence on every vendor.
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 capability scoring across 1,000+ dimensions. Weight what matters, filter the rest, and export a shareable report.
AI Due Diligence
Classification, dependency risk, data sovereignty, and three trust scores on every vendor — Model Independence, Learning Loop, Data Sovereignty. Defensible to procurement.
Target Model
Design your target AI stack. Baseline your coverage, close identified gaps, and get vendor recommendations ranked by fit and context.
Solution Scoring
Structured RFI and weighted scoring with business context-fit built in. Capture rationale, collaborate with stakeholders, and export the decision record.
MCP Server
Query the full database from Claude, Cursor, Cline, or any MCP-compatible AI assistant. Pro plan.
Real vendor scores and capability matrices.
Sample from AI Security. Sign up to unlock every category, every vendor, every score.
AI Due Diligence is uniquely ours.
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 700+ vendor dataset, four entry points. Start from wherever your question begins.
By Industry
22 industries, 99+ 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
700+ 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. Pro plan.
Free forever. Pro in private Beta.
All 700+ vendors and solutions. All DD profiles. All 3 lenses.
Sign up free- AI Due Diligence on every vendor
- Four discovery lenses
- Compare up to 3
Full platform access for teams deciding.
Request access- Business Context-Fit scoring
- Target Model
- Solution Scoring
- Comparison Report
- MCP server access
Frequently asked
Your AI stack has gaps. Find them in 2 minutes.
700+ vendors and solutions. 100% AI Due Diligence coverage. Free to start.
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