Compress the timeline. Protect the thesis. Execute the integration.
Most deal value is won or lost before the ink is dry. Diligence that takes too long misses windows. Integration that starts without infrastructure misses the thesis. We compress diligence timelines from weeks to hours and build the integration operating model that determines whether the deal delivers in the first cycle — not two years post-close.
Audit Your ConstraintsWeeks→Hours
Diligence compression
90-Day
Integration first cycle
100%
Source-traceable findings
Continuous
Post-close monitoring
Intelligence and infrastructure across the full M&A lifecycle.
From target screening to post-close monitoring — in a single continuous operating model.
Accelerated Due Diligence
AI analysis across financial, operational, legal, and regulatory dimensions — surfacing findings in hours rather than weeks without sacrificing the rigor that protects deal value. Source-traceable outputs that survive independent audit.
Target Identification & Screening
Systematic scanning of target universes against defined acquisition criteria: financial profile, operational fit, regulatory exposure, and strategic alignment — reducing the manual screening time that slows deal cadence.
Integration Readiness Assessment
Pre-close analysis of the integration complexity: technology stack compatibility, organizational structure gaps, cultural risk indicators, and the operational dependencies that determine how fast the thesis can be executed post-close.
Synergy Quantification Models
Rigorous, data-grounded synergy models that separate structural cost and revenue opportunities from aspirational estimates — with the assumptions documented and the sensitivities built in so leadership can stress-test before committing.
Post-Close Integration Infrastructure
The operating model and AI infrastructure that executes the integration in the first cycle: reporting unification, workflow integration, data harmonization, and the monitoring layer that tracks integration performance against the original thesis.
M&A Pipeline Intelligence
Ongoing intelligence infrastructure for active acquirers: market scanning, target monitoring, valuation benchmarking, and competitive activity tracking — so deal teams operate with current intelligence rather than point-in-time snapshots.
Diligence intelligence, integration architecture, post-close tracking.
Diligence Intelligence
We deploy AI analysis across the target's financial, operational, and regulatory profile — surfacing findings in hours rather than weeks, with source-traceable outputs that survive independent audit and board scrutiny.
Integration Architecture
We design the operating model and technology infrastructure that determines whether the deal thesis is delivered in the first operating cycle — data systems, workflow integration, governance structure, and performance tracking.
Post-Close Monitoring
Continuous post-close monitoring with defined milestones that track integration performance against the original thesis — surfacing where execution is lagging before the P&L reflects it.
Know what you're buying before you close.
Start with the diligence scope. We'll identify where AI analysis can compress your timeline and what integration infrastructure the deal thesis requires — before you're committed to the timetable.
Audit Your Constraints