Due diligence is the structured process of verifying claims and assessing risk before a decision, whether that decision is an investment, an acquisition, or a hire. Done well, it replaces a narrative with evidence: what actually happened, what it proves, and what it does not.
Traditional due diligence is a checklist run by hand: pull the cap table, call the references, read the code, sanity-check the market size. It works, but it is slow, and the depth of the check depends entirely on who is running it and how much time they have that week.
The 2026 shift is that most of this checklist is now automated first and judged second. Per PitchBook's Q1 2026 AI VC Trends report, 85% of private capital dealmakers now use AI to automate daily tasks, up from 76% a year earlier, with AI touching sourcing, diligence, and portfolio monitoring alike. The work that used to take an associate a week, pulling filings, checking claims against public records, cross-referencing a team's prior outcomes, now runs in the background before the first partner meeting. That does not replace judgment. It gives the partner a evidence-based scoring pass to react to instead of a blank page.
After several years of loose capital and light scrutiny, the pendulum swung back hard. As reporting on the 2026 fundraising environment notes, investors are no longer writing checks off a compelling narrative alone. They are asking for primary sources on market size claims and walking away from pitches where the data cannot be immediately defended. That is a return to fundamentals, but it is also a capacity problem: funds are seeing more inbound than ever, and manual diligence does not scale to match it.
This is exactly where a defined scoring bar earns its keep. If every founder and every deal gets checked against the same rubric with the same evidence standard, a fund can run deeper diligence on more deals without diluting the bar per partner. See founder scoring for how that bar gets applied to the person specifically, and our diligence scorecard breakdown for what we actually check on every inbound founder.
Due diligence is the process. Evidence-based scoring is what makes that process consistent and comparable across deals. A memo written after a week of diligence still reflects one reviewer's synthesis, in their words, with their emphasis. A score built from the same rubric and the same evidence categories lets you rank founders, deals, or hires against each other and defend every point later. ScoringFactory runs diligence this way, and if you want to see it against your own bar, you can request a demo with a live founder or deal.
No. It removes the grunt work of assembling the evidence so the partner spends their time on judgment calls instead of document collection. The decision still sits with the human, but it's an informed decision built on a complete record.
Deep enough that every material claim in the pitch has been checked against a primary source. That includes the market size, the traction numbers, and the founder's stated track record, not just the legal and financial basics.
A record of exactly what evidence supported each conclusion. If a deal goes bad, or a hire doesn't work out, the team should be able to trace back to what was known at the time and why the call was made, not rely on memory.
Bring a deal you're evaluating. We'll show you the same scoring pass we run on every inbound founder, evidence and all.