PRIVATE EQUITY
Customer evidence
for every stage of the deal
Instant access to what customers actually think of the companies you are looking at from verified tech buyers.

Source and screen deals on customer evidence
Find deals before the banker does
See who is buying in a sector, from whom, and why.
Prioritise the pipeline
See who is buying in a sector, from whom, and why.
Decide go / no go before committing to diligence
Five expert Canopy responses packaged into one read.

Find the companies customers are choosing before a process starts, sort your pipeline by more than financials, and test the thesis before the IC commits budget.
01
Source and screen deals on
customer evidence
Find the companies customers are choosing before a process starts, sort your pipeline by more than financials, and test the thesis before the IC commits budget.
Find deals before anyone else
See who is buying in a sector, from whom, and why.
Prioritise the pipeline
Rank any list by renewal intent, pricing power and displacement.
Decide go / no go before committing to diligence
Five expert Canopy responses packaged into one read.
02
Run diligence on the real customer base
Get beyond the IM and the reference list: walk into management prepared, hear from the real customer base, and see where the target wins and loses against each competitor.
Walk into the management meeting prepared
Customer read on the company and its two closest competitors.
Hear from customers during live diligence
Calls for depth, Canopy and AI interviews for breadth.
Benchmark the target against its competitors
Same questions to every competitor's customers, coded the same way.
USE CASES
Answer the questions diligence depends on
Compare vendors, categories, customer needs, and growth signals to validate demand, differentiation, buyer intent, renewal risk, and competitive position across a B2B technology market.
Prepare management for key decisions
Sharpen expert call questions
Support portfolio value creation

WHY ARBOLUS

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







