PRIVATE credit
Underwrite on what the borrower’s customers say
Test it with the borrower’s own customers: spend, switching intent, renewal risk.


01 · Go / NO-go
Go / no-go read in days, not weeks
Five relevant experts answer your thesis questions on video. One short read before the IC commits budget. A week of consultant time, replaced.
how it works
Every video and transcript included
Each question scored on how many experts agree
Any expert available live if the deal moves forward
built with
outcome
02 · customer diligence
One prompt away: what customers, lost customers, former staff and rivals' customers say about the target. Satisfaction, renewal intent, pricing power, switching risk.
how it works
Customer read on the target and its closest competitors, ready today
Weaknesses to probe, from buyers who chose a rival
As a pre-management brief, or as live customer calls
outcome

Why arbolus
Data that only exists here
First-hand experience from 430k+ buyer-vendor relationships. Others aggregate what is public. We own the layer that isn't.
Instant, then bespoke
Answers on 7,000+ companies in minutes. Need more? Ask verified people by video, call or AI interview.
Built for AI
Inside Claude through MCP, in your own tools through the API, live on S&P Capital IQ, Bloomberg launching.
products
Three way to use it
ask verified people
1:1 calls with vetted customers and operators, transcribed.
Async video Q&A, 5 to 10 experts, summary plus every transcript.
Voice AI runs structured interviews at scale, on demand.
Size a signal across many verified B2B decision-makers.
ready-made reports
Company pages and reports from attributable buyer data.
Company pages and AI reports: NPS, churn risk, spend, switching drivers.
A 360° read from customers and former staff before you meet management.
The borrower’s market, written for credit teams.
Plug it in
The Library adn your transcripts inside Claude and other AI tools.
Library and your transcripts, in your tools. Live on Capital IQ.
WHY ARBOLUS

Built for CDD
Support high-pressure diligence timelines with data first and deeper expert work next.







