Stop burning months on mechanical Due Diligence. Here is a proposed 2026 playbook.
By Jose Antonio Díaz Infante, Founder of Matrits
I-Powered Operations for Growth Companies
LinkedIn | Website
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Matrits helps Search Funds, PE teams, and growth companies compress deal timelines by automating document analysis and deals identification using AI—turning weeks of manual work into days.
Search Funds are growing across Europe and North America. Searchers are active, deals are closing. But there’s a problem nobody wants to name: most of you are still analyzing like it’s 2019.
Two interns in Excel. A Searcher grinding through data. Weeks to rule out a company that doesn’t fit your thesis. It’s slow. It’s expensive. And in 2026, that’s not efficiency—that’s a competitive gap widening between you and the person ahead.
The Problem: The Analysis Gap
I talk to Searchers across Europe and North America, and I hear the same three concerns.
First, dead time. Of your 12-month search, 6-7 months vanish into mechanical due diligence. Reading 80-page reports, extracting data, comparing multiples, hunting for inconsistencies. Work a machine does in minutes without fatigue or error.
Second, analysis quality. Two interns without M&A experience don’t see what an experienced Searcher sees. And you can’t be everywhere: reviewing financials, mapping competitive landscape, evaluating EBITDA risks, validating assumptions. The friction is structural.
Third, opportunity cost. While your team wrestles with spreadsheets, the Searchers who automated this are in conversations with four more companies. They’re closing multiple options in the time it takes you to make one decision. Meanwhile, the AI-First Searcher is already at the LOI stage with three other targets. You aren’t just slower; you are becoming invisible to the best deals.
Human judgment still closes deals. Always will. But AI is already eliminating mechanical friction. And if you haven’t seen it by now, you’ll feel it in six months.
The Solution: An AI-First Analysis Stack
This isn’t about replacing your team. It’s about multiplying what they can do.
A 2026 Searcher builds analysis across four layers:
1. Projects: Your Intelligent Data Room
Instead of scattering documents across Drive folders, you build knowledge silos by thesis. “Industrial Services” vs “B2B Health SaaS” vs “Digital Retail Transformation.” Each silo independent, leveraging Claude’s massive context window to connect dots across 100+ documents in seconds, each holding its own context, multiples, and benchmarks.
Claude enters that silo. It reads every report you have, every comparable, every previous deal. You ask, “Which companies in this sector have low ROIC but ascending margins?” and you get an answer in 40 seconds. With context. No hallucinations.
An intern spends three weeks on that question.
2. Artifacts: Real-Time Visual Analysis
An LBO model? A grid comparing 15 competitors? A cash flow projection with three scenarios?
You don’t build it in PowerPoint over six hours. You build it in Claude. Iterative. Change one variable, the model recalculates. Adjust assumptions, see impact instantly.
3. Analysis at Scale: Connecting Dots Across Documents
An 80-page report is the baseline. But if you have five reports, three market studies, two competitive analyses and you’re not connecting dots, you’re late.
Questions like “Are there contradictions between what management says and what the numbers show?” or “Does this EBITDA risk appear in other deals we’ve closed?” demand massive context. Claude holds that context without losing it.
4. Computer Use: AI That Acts
Searching lead directories, updating your CRM, pulling public registry data, validating suppliers against your criteria. AI no longer just analyzes—it acts.
That’s what separates Searchers with infrastructure from those still playing with Chat.
Alignment: Searcher, Investor, AI
Here’s where the system works.
A Searcher running this stack cuts search costs 30-40%. Fewer interns grinding through mechanical work, more of your time on relationships and decisions.
An investor financing Searchers with this setup knows they’ll see deals faster, deeper analysis, fewer due diligence errors. That translates to higher IRR and shorter cycles.
And AI stays in its lane: it kills friction, it amplifies judgment, it doesn’t make decisions.
It’s Already Happening
Searchers across Europe and North America who spent 2-3 weeks on preliminary target analysis six months ago now do it in 3-4 days. Not because they’re smarter. Because they have infrastructure.
One Searcher fed her entire thesis—30 pages of market analysis, 15 comparables, five previous deals—into Projects. Now she asks, “Which of these 12 targets has the same margin profile as our 2023 deal?” and gets the answer in minutes. With sources.
Another automated target searches across five sectors. While other Searchers are still on LinkedIn, he’s got an updated, filtered, validated pipeline in his CRM every week.
Does that not shift the odds of closing?
Are You Still Chatting or Have You Built the Stack?
Human judgment closes deals. Period.
But mechanical friction is dead. The successful Search Fund of 2026 is using AI intelligently. A Searcher still analyzing like it’s 2019 simply cannot compete with someone running a professional AI infrastructure—that’s not an opinion, it’s a speed, cost, and quality delta you can measure in numbers.
If you’re a Searcher or investor serious about 2026, this isn’t optional. It’s the baseline.
Ready to Build Your AI Analysis Infrastructure?
The gap between Searchers running manual analysis and those with Claude infrastructure is real, and it’s widening.
I help Search Funds implement and train their teams on Claude: building intelligent data rooms, automating analysis workflows, integrating AI into your deal process without replacing human judgment.
If you want to compress your search timeline, eliminate mechanical analysis work, and train your team to leverage Claude at every stage—from target screening to LBO modeling to diligence—let’s talk.
→ Schedule a consultation to explore how Claude transforms Search Fund operations.
No hype. Just results.
