Built for credit unions & depositories
AI investment intelligence
you can trust
Evaluate AI vendors with institution-specific analysis, not marketing narratives. Get board-ready diligence that accounts for your size, systems, and strategic priorities.
40+
AI vendors scored
6
Analysis modules
NCUA
Call report data
DOCX
Board-ready exports
Everything you need for AI vendor diligence
From initial discovery to board-ready memos — one platform for the entire evaluation lifecycle.
Vendor Intelligence
Browse and compare 40+ AI vendors across 18 categories with objective scoring on technology, compliance, integration risk, and value.
Browse vendorsStrategic Fit Analysis
Get institution-specific evaluations that account for your asset size, core system, digital maturity, and strategic priorities — with realistic ROI projections.
Run analysisM&A & Investment Diligence
Full-stack transaction intelligence: balance sheet diagnostics, synergy attribution, valuation multiples, and risk surface mapping — all in one workbench.
Open workbenchMore capabilities
CVC & Equity
Venture-style return analysis with scenario-conditioned payback projections.
CU Cohort Data
Real credit union financials from NCUA call reports, updated quarterly.
Market Intel
AI news from primary credit union sources, filtered for what matters.
Data Room
Upload your own decks and diligence materials for integrated analysis.
Three steps to board-ready analysis
From setup to exportable diligence memo in under an hour.
Step 01
Set up your profile
Describe your institution — asset size, core system, AI maturity, and strategic priorities. Takes about 5 minutes.
Step 02
Select vendors to evaluate
Browse our scored database of 40+ AI vendors. Filter by category, compare side-by-side, and shortlist candidates.
Step 03
Get your analysis
Receive a 6-module institutional fit report with realistic ROI projections. Export as a board-ready DOCX memo.
Built different from vendor marketing
Causal, not correlational
ROI projections are adjusted for your institution's confounding factors — size, digital maturity, data quality — so you see realistic outcomes, not best-case marketing.
Regulatory-aware
Every evaluation includes model risk, fair lending, and governance alignment scoring specific to your supervisory posture.
Board-ready output
Export structured diligence memos that your investment committee can review — complete with risk assessments and implementation roadmaps.
Ready to make your next AI decision with confidence?
Stop relying on vendor pitches. Start with objective, institution-specific analysis.