Industries / Private Capital
Private Capital
Canadian private equity funds, venture firms, family offices and independent sponsors are buried in deal screening, LP reporting and fund administration — work AI can absorb without ever touching an investment decision. We build the automation layer that gives your analysts and fund-ops team their time back, with a partner reviewing every output.
Insights
Why a screening model plus an analyst review catches more real opportunities than either working alone.
6 min read
A practical model for drafting capital-account statements and commentary, with a controller signing off on every figure.
5 min read
Where capital calls, distributions and NAV support can move faster — and where a fund controller still has to sign off.
7 min read
Where we work
01
Deal screening, diligence support and portfolio reporting handled without adding analyst headcount.
02
Founder diligence memos and pipeline tracking kept current without eating into sourcing time.
03
Consolidated reporting across a mixed book of direct deals, funds and public holdings.
04
The reporting and admin load of a fund, run lean, without a fund's back office.
05
Diligence, financial-model checks and investor updates handled by a searcher operating solo.
06
Capital calls, distributions and quarterly reports drafted for a controller to review, not rebuild.
How we help
Advisory
A prioritized, IC-ready plan for where AI removes analyst hours first and where it strengthens the diligence story you take to LPs.
Implementation
We connect AI directly into your deal-tracking, reporting and fund-admin systems so it fits how your team already works.
Our product
Treadstone's back-office engine for private capital — screening, reporting and LP communications, deployed in weeks, not quarters.
Case study
A Canadian mid-market fund asked us to close the gap between what its analysts were worth and what they were spending on quarterly reporting. We paired deal-screening automation with AI-assisted LP report drafting, keeping every figure reviewed by a controller before it went out.
Representative engagement. Figures illustrative.
The scale of the opportunity
Hours, not headcount
time AI returns to the deal team comes from screening and reporting, not from adding staff
Same team, more flow
screening automation lets a lean team keep pace with more inbound deals without missing the good ones
Faster, not thinner
diligence and reporting move faster without cutting the partner review every file still gets
Built for LPs
reports drafted to the standard investors expect, ready for a controller's sign-off, not a rough first pass
These reflect where AI does the most good in a private capital back office, not guaranteed outcomes; actual results depend on the fund and use case.
The cost of waiting
Rising
deal-screening and reporting cost per fund, with no sign of levelling off across the mid-market
Chronic
analyst capacity shortages at funds trying to grow deal flow without growing headcount
Widening
speed gap between AI-enabled funds and those still screening and reporting by hand
Estimates are illustrative analyst projections intended to frame the stakes, not predictions for any single fund.
Private Capital Learn Hub
A working library for fund principals, operating partners and fund-ops teams. We skip the hype and answer the questions that actually move a decision: what to automate first, what it costs, what "good" looks like, and how to bring your team and LPs along.
Decide in a week, not a quarter
Short, plain-language answers so you can green-light a use-case with confidence.
Numbers you can take to the board
Benchmarks and cost models that drop straight into a leadership deck.
Get your team fluent
Guides and courses that make non-technical staff comfortable working with AI.
What's inside
A 30-minute call is enough for us to tell you whether AI pays for itself here — and roughly how fast.
Book a discovery call