M&A: How to See Around Corners Safely
How M&A teams get AI insights from distributed data sets while staying in compliance with legal and government regulations
Pre-close M&A diligence is where the most consequential decisions are made and where teams fly with the least visibility. Legal boundaries are real: you must avoid exposing competitively sensitive information while proving the deal’s value and preparing integration. Traditional methods—data rooms, spreadsheet swaps, and “cleaned” extracts—force an ugly trade-off between speed and compliance.
DatumSure’s Tapestry is the technology breakthrough that eliminates due-diligence trade-offs by enabling insight without exposure. An insight engine that computes within each party’s data estate, Tapestry delivers governed answers without moving or exposing raw data. Policies control what can be asked and what leaves the boundary (aggregated insights only); everything is logged.
The result is faster, safer, and more auditable diligence. Leaders get decision-quality signals on overlap, synergy, risk, and day-one readiness—while counsel sees a defensible process that minimizes sharing and proves exactly what was accessed and returned. You de-risk the path to close and reduce the surprises that so often surface after the deal is signed.
Reveal risks early
Tapestry surfaces insights on:
Technical debt
Regulatory exposure
Contract anomalies
Customer concentration
Data quality red flags
…all before they become costly post-acquisition surprises.
Why current methods increase risk, cost, time, and frustration - and how Tapestry reduces post-close surprises
Copying data creates custody risk, complicates privilege models, and expands the attack surface. Manual extracts spawn version sprawl and review cycles that slow decisions when speed matters most. “Clean teams” organized around spreadsheets still require trust in process rather than enforceable controls, and they rarely produce a complete view. Worse, late discovery of customer overlap, channel conflict, or product fit leads to post-close surprises—missed targets, integration churn, and culture drag.
With Tapestry, you keep data in place, restrict outputs to what’s necessary, and see critical patterns earlier. That prevents over- or under-estimating synergy, accelerates day-one planning, and shortens the path from signing to value—without stretching legal boundaries.
Why Tapestry delivers better M&A outcomes
Before close, you get decision-grade clarity without exposing sensitive data. Diligence cycles compress. Controls are auditable and aligned to counsel’s rules. And because you see issues earlier, you avoid the surprises that typically surface after close.
You can see the market and customer picture—overlap, white space, channel conflicts, and product adjacencies—without sharing names or prices. You can benchmark performance by region and segment and baseline operations using banded, non-sensitive metrics. Risk stays in bounds because you share governed KPIs instead of raw events. And you size synergies and plan integration using in-place models and metadata, not data dumps.
Market & customer view
You can see a unified market and customer picture—automatic flags where channels collide, and product adjacencies—anonymized by design.
Performance & health
You can benchmark performance and health by geography and segment with revenue and churn heatmaps, and baseline operations with non-sensitive supply and utilization statistics.
Risk & compliance
Risk and compliance stay in bounds because you share incident rates and control maturity as governed KPIs instead of raw events.
Synergy & planning
You can size synergies with in-place models that exchange only outputs, and plan integration using systems and process signals.
Tapestry analyzes both companies’ people, processes, systems, and data to identify:
Overlapping vendor spend
Workforce redundancies
Contract renegotiation opportunities
Revenue cross-sell potential
You can quantify synergies with actual data, not banker decks.
Post-close continuity
The contextual fabric survives the integration. You don’t have to restart analysis after close. PMO teams start Day 1 with actionable, governed, integrated data.
How Tapestry accomplishes the task
Tapestry routes queries to where each party’s data resides, so raw data never moves. Policy-as-code enforces role, attribute, and purpose-based restrictions, and masks or excludes sensitive fields. Only aggregates, cohorts, scores, or other policy-approved KPIs may cross the boundary, and every query, policy, and output is logged and reviewable, giving counsel and regulators a defensible record. Because common cross-silo patterns return in seconds, teams iterate quickly without building pipelines. Tapestry fits alongside your existing warehouses, lakes, and analytics stacks—an insights platform, not infrastructure.
Compute-to-data orchestration: Tapestry routes queries to where data resides across both parties; raw data never moves.
Governed, permissioned access: policy-as-code enforces role, attribute, and purpose-based restrictions; sensitive fields are masked or excluded.
Minimal-necessary outputs: only aggregates, scores, or policy-approved KPIs can leave the boundary.
Real-time auditability: every query, policy, and output is logged and reviewable—giving counsel and regulators a defensible record.
Performance: cross-silo queries return results in seconds for common patterns, so teams iterate quickly without building pipelines.
DatumSure is an insights engine, not infrastructure; Tapestry augments existing warehouses, lakes, and analytics tools.
About DatumSure
DatumSure is the technology company behind Tapestry, the AI-native Data Insights Engine that enables real-time AI intelligence from siloed, regulated, and distributed data without ever moving or copying it. Founded by industry veterans with deep expertise in finance, healthcare, defense, and technology, the DatumSure team has built and scaled mission-critical systems where privacy and compliance are non-negotiable. Today, we help leaders unlock faster innovation, reduce risk, and transform data from a bottleneck into a growth engine.