Rigorous, AI-enhanced due diligence that exposes what deal books conceal—before capital changes hands.
Every acquisition carries a fundamental asymmetry: the seller knows more than the buyer. Deal memoranda are authored to persuade, not to inform. Financial models are constructed to present optionality, not to expose fragility. Technical infrastructure is described in aspirational terms, rarely in operational reality. The role of due diligence is to collapse that information gap—to force the target’s actual condition into the light before the letter of intent hardens into a binding obligation. Our M&A Technical and Financial Diligence service exists for precisely this purpose: to equip acquirers, investors, and boards with the analytical clarity required to make capital allocation decisions rooted in evidence rather than narrative.
The deals that destroy value are not the ones where the thesis was wrong—they are the ones where the diligence was shallow.
Our approach begins where traditional advisory due diligence ends. While most firms produce workstream summaries organized by functional area, we build an integrated risk model that connects financial performance to technical reality. Revenue durability is not assessed in isolation from the technology platform that delivers it. Customer concentration risk is not evaluated without examining the contractual, operational, and technical switching costs that sustain those relationships. Working capital trends are mapped against the operational processes and systems that generate them. This integrated lens consistently surfaces findings that siloed workstreams miss—the kind of findings that materially alter purchase price negotiations, earn-out structures, and post-close integration planning.
On the technical side, our analysts conduct deep infrastructure assessments encompassing architecture review, code quality analysis, security posture evaluation, scalability stress testing, and technical debt quantification. We examine not just whether the technology works today, but whether it can support the growth assumptions embedded in the financial model. A platform generating twenty million in annual recurring revenue may carry three million in deferred technical maintenance—a liability invisible on the balance sheet but certain to demand capital post-close. We find it, quantify it, and frame it as a negotiation lever.
Technical debt is the liability that never appears on a balance sheet—until the day after closing, when it becomes the acquirer’s most expensive surprise.
On the financial side, our team conducts a forensic-grade quality of earnings analysis that goes well beyond standard accounting adjustments. We reconstruct reported EBITDA from source systems rather than accepting management’s reconciliation at face value. Revenue recognition practices are tested against contract terms, delivery records, and cash collection patterns. Recurring revenue claims are validated against actual renewal rates, cohort-level retention data, and customer-level usage trends. Working capital normalization is modeled against operational reality, not historical averages that may obscure seasonal distortions, one-time inventory builds, or channel-stuffing patterns.
What differentiates our diligence from conventional advisory processes is speed without sacrifice. Our AI-enhanced document analysis, pattern recognition, and anomaly detection capabilities allow us to process data rooms containing tens of thousands of documents in a fraction of the time required by traditional review teams. But speed is a byproduct of our methodology, not the objective. The objective is depth—identifying the three or four findings in every deal that genuinely affect value, and presenting them with the evidence quality and analytical rigor that withstands scrutiny in purchase price negotiations, board presentations, and investment committee discussions. On average, our engagements complete the full diligence cycle sixty percent faster than conventional advisory timelines, with more comprehensive coverage and higher finding quality.
We serve acquirers across the mid-market and upper mid-market: private equity sponsors executing platform and add-on acquisitions, corporate development teams pursuing strategic M&A, and growth equity investors underwriting technology-enabled business models. Our engagement model is calibrated to deal timelines—we mobilize within forty-eight hours of mandate, deliver preliminary red flags within the first week, and produce the comprehensive diligence report within the agreed timeline. Every finding is classified by severity, quantified where possible, and framed with specific implications for deal structure, purchase price, and integration planning.
Architecture review, code quality scoring, security assessment, scalability analysis, and technical debt quantification with remediation cost estimates.
Forensic EBITDA reconstruction with documented adjustments, revenue quality assessment, and working capital normalization model.
Severity-classified findings with materiality estimates, evidence documentation, and recommended negotiation positions for each identified risk.
Quantified adjustments from headline enterprise value to adjusted value, supported by diligence findings and documented methodology.
Post-close integration priorities, technology migration roadmap, and first-hundred-day operational recommendations based on diligence findings.
Concise, board-ready summary of critical findings, deal recommendation, and key conditions or protections to negotiate prior to close.
Faster diligence completion compared to conventional advisory processes, with more comprehensive coverage and higher finding quality
Every deal has hidden variables. Our diligence team finds them before they find your returns. Engage us before your next letter of intent.
Schedule a Diligence Briefing