Private Equity & Mid-Market

Capital-grade tech diligence, in two to four weeks.

Technology and data due diligence for PE firms, M&A advisors, and the mid-market businesses they invest in. Practitioner depth from someone who has run the systems your target is selling, not just modeled them.

2–4 wk
From kickoff
to capital-grade report
$50M–$500M
Sweet spot
by target revenue
5
Mid-market sectors
covered first-hand
$125M+
Programs delivered
at portfolio scale
What we do

Two offers, built for the deal cycle.

Fixed scope, fixed price, fixed timeline. We write to the LP read, not the consultant read, short, confident, and structured around the decision the deal team has to make.

01

Technology & Data Due Diligence

A capital-grade assessment of the target's technology stack, data assets, engineering team, and the operational risks an acquirer needs to know about before close.

Timeline
2–4 weeks
Output
Diligence report + management Q&A
  • Technology stack assessment and architecture review
  • Core systems readiness (ERP, CRM, AMS, custom apps)
  • Data and analytics maturity review
  • Engineering team and key-person risk evaluation
  • Cybersecurity and operational risk identification
  • Integration cost and effort estimate
  • Red-flag inventory ranked by deal impact
02

Post-Close Integration

For the work that begins after the deal closes: planning the technology integration, retiring overlap, and standing up the data layer the new entity needs to run as one business.

Timeline
3–9 months
Engagement
Embedded program leadership
  • 100-day integration plan and governance
  • Systems consolidation and overlap retirement
  • Data unification and reporting cadence
  • Vendor and contract rationalization
  • Talent and operating model alignment
  • Synergy tracking against the deal model
Diligence sprint process

Four weeks, four phases, one report.

Designed for a typical mid-market deal cycle. Compresses to two weeks for tight timelines; extends to six for complex multi-entity targets. Pricing fixed at engagement.

Week 1

Scope & access

Deal context, sector and target review, data room access, management interview scheduling. Initial hypothesis.

Phase output: scoped plan
Week 2

Discovery

Management interviews, system walkthroughs, data sample analysis, engineering team assessment. Risk inventory begins.

Phase output: red-flag log
Week 3

Analysis

Integration cost modeling, key-person risk evaluation, deeper review on highest-impact risks, vendor and contract review.

Phase output: scored findings
Week 4

Report & readout

Capital-grade written report, executive summary, deal team readout call, Q&A with management if requested.

Phase output: final report
Why ARYS for PE work

The diligence partner who has actually run the business you're buying.

Operator not auditor

Most tech DD providers are auditors with a checklist. We've personally run ERP cutovers, integrated post-merger entities, and held SIs accountable. The questions we ask in management meetings are the questions a buyer needs answered.

Sized for the mid-market

We don't compete with Bain or Alvarez. Our sweet spot is targets between $50M and $500M revenue, where the technology environment is real but reachable, and where a Big Four engagement is overkill.

One throat to choke

The principal is on the management call, in the data room, and in the deal team readout. No partner-and-pyramid. The same person who scopes the engagement signs the report.

Representative engagements

A sense of the work.

All engagements are confidential. The examples below are anonymized to industry and revenue band only.

Tech DD

$120M industrial distributor, buy-side DD

Three-week sprint on a target with a heavily customized legacy ERP and a single-engineer key-person risk. Identified $2.4M of post-close integration cost the seller's CIM had understated.

Outcome: price adjustment + retention package for the named engineer
Tech DD

$60M B2B SaaS, sell-side prep

Two-week buyer-readiness review ahead of a strategic auction. Cleaned up tech narrative, surfaced four pre-emptive answers to predictable buyer concerns, mapped a defensible roadmap.

Outcome: went into bid round with no surprises in the data room
Integration

$200M roll-up, multi-entity consolidation

Embedded program leadership across three acquired businesses on three different ERPs. Twelve-month plan to unify the operations spine without disrupting the acquired customer base.

Outcome: single ERP and unified reporting layer in fourteen months
Portfolio

Mid-market PE, portfolio AI playbook

Standardized AI readiness framework applied across eight portfolio companies. Identified the three highest-leverage AI use cases for each, plus a shared platform investment that earned its keep across four of them.

Outcome: portfolio-level repeatability without one-off pilots

Bring us your next deal.

Whether the LOI is signed and you have three weeks, or the deal is hypothetical and you want a private read on the sector, the first call is free and short.