For consulting and private equity due diligence
The entire expert call workflow. In one place.
expertaize brings expert profiles from every network into one place, finds the right expert for each diligence question, and carries the call through to insights.
Works with
Ranked for: How do mid-market OEMs choose between pump suppliers?
4 of 23The problem
Finding experts is easy. Choosing the right one isn't.
Teams spend hours every week picking experts across several channels, and still end up in calls with an expert who can't answer the question.
4–7 h
per week on expert selection, per diligence
4+
channels to check: email, Slack, Teams, attachments
$1,000–2,000+
per call hour, paid even when the fit is wrong
- 01
Profiles everywhere
Several networks, 4+ channels, no shared format. Every profile is copied over by hand.
- 02
Questions that change daily
The client sends new questions mid-week. Yesterday's shortlist is already outdated.
- 03
Poor fit, found out on the call
Eight minutes in, it's clear the expert can't answer the question. The slot is gone.
- 04
Analysis in yet another tool
After the call, transcripts, notes and synthesis move to separate tools again.
What drives pricing pressure from Asian entrants?
New from client · 09:4208:12
expertaize turns this into one workflow.
Platform
What changes for your team.
- Less manual screening
- Less switching between tools
- Fewer separate subscriptions
- Faster expert selection
Profiles from expert networks, emails, Slack messages and documents are consolidated, structured and deduplicated. The team works from one overview instead of inboxes and spreadsheets.
- All networks, one pool
- Duplicates across networks merged
- Searchable by role, employer, recency and rate
Experts are matched against your specific, changing diligence questions. Every recommendation shows its evidence, fit, confidence and what is still missing, so low-value calls are caught before they are booked.
- Fit and confidence shown separately
- Evidence behind every score
- Gaps turned into questions for the network
Language models read and structure the profiles; dedicated machine-learning models produce the scores. Same inputs, same ranking, evidence always shown.
expertaize covers selection, scheduling, the call, transcription and insight extraction in one place, replacing a separate tool for each step.
- Call requests go straight to the network
- Transcript lands on the expert profile
- Insights filed under the question they answer
How it works
Six steps, one screen. Click through.
Create the project and add the open diligence questions, or sync the team's Word document. New client questions appear automatically.
Project Northwind
Buy-side CDD · industrial pumps · 5 workstreams
How do mid-market OEMs choose between pump suppliers?
from Word
What drives pricing pressure from Asian entrants?
from WordNew from client · 14:05
How sticky are aftermarket service contracts?
added here
Try it
A sample diligence. Everything is clickable.
Project Northwind is a fictional case.
See it with your own questions.
Book a demoSecurity
Built for confidential work.
Sanitized inputs
expertaize is built for sanitized questions. Client names stay out.
Separated by case
Each diligence is its own workspace; experts and questions don't cross over.
Human in the loop
expertaize recommends and drafts. A consultant confirms every call.
Team
Diligence experience meets machine learning.

Former consultant at Boston Consulting Group; MBA from Kellogg School of Management.

Quantum physicist; PhD at Imperial College London with a strong machine-learning focus.

Former operator in deep tech with consulting experience at BCG; Master's degrees from MIT and TUM.
Pilot partners
Become a pilot partner.
expertaize launches in Q1 2027. Ahead of launch, we're looking for a small group of consulting and investment teams to shape it around real diligences.
No. Networks keep sending profiles the way they do today. expertaize is simply copied in.
We set up expertaize on one of your live diligences with sanitized questions and work through it with your team. Your feedback shapes what we build before launch.