Private equity
Technical due diligence and post-close integration
For sponsors and portfolio companies. The question underneath the data room is whether this architecture and this team can carry the hold period, and what it costs to fix what can't.
Most of that answer is not in the code. It is in how the platform was decided on, what the org can actually absorb, and which constraints were traded away to get here. Reading that takes someone who has run the integration side, not only the review side.
Where this helps
Four points in the deal
Pre-LOI technical diligence
An early read on the platform, the team, and the risks worth pricing, while there is still room to price them.
Confirmatory diligence
The deeper pass once the deal is real. Architecture, security and compliance posture, delivery capability, and the gap between what the roadmap says and what the team can carry.
Post-close integration
Platform, infrastructure, and org integration after the deal. This is the part that quietly eats a roadmap year, and the part most diligence never plans for.
Portfolio company assessment
A technology read on a company already in the portfolio, between board cycles, when something is not moving the way the thesis assumed.
Why this person
Integration experience, not only review experience
Technology and organizational integration across four acquisitions, covering product continuity, shared platforms, infrastructure consolidation, and team alignment. Alongside that, security and compliance programs built to answer enterprise and government buyers, and platform work where cost came down without reliability being traded for it.
The calls behind that work are written up on the consulting home, in the same format used for everything else here: what the situation was, what got decided, what got refused, and what it returned.
Next step
Bring the question early.
Diligence timelines don't wait.
Thirty minutes to talk through the asset, the timeline, and whether this is work we should do together. If it isn't a fit, you'll hear that in the first call, and we'll point you at who is.
Prefer to write? hello@nltlabs.ai