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Datapack

Datapack is a deal technology platform that automates data mapping, cleanup, and repetitive analysis for Transaction Services teams. It helps financial due diligence professionals complete QoE, NWC, and QoD analyses faster with full traceability and reusable mapping rules.

Paris, France · HQ
Founded 202650+ followers
  • Artificial Intelligence
  • Data & Analytics
  • Financial Technology
  • Software Only
Updated 10 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Transaction Services teams lose significant margin on manual data mapping, cleanup, and repetitive analysis work during financial due diligence engagements. Every hour spent on copy-pasting between workbooks or rebuilding mapping rules from scratch is an hour not spent on billable analysis, directly eroding realization rates and deal profitability.

Solution

Datapack automates the low-value work in financial due diligence so deal teams can deliver more transactions faster with complete audit readiness. The platform enables automated account mapping with intelligent rule reuse across engagements, allowing teams to complete in under one hour what traditionally takes days. QoE, NWC, and QoD analyses run with full traceability and adjustment tracking, while deal knowledge is captured and reapplied instantly across projects. The solution standardizes data ingestion, mapping, and analysis workflows, which also accelerates onboarding for new team members and reduces supervisory burden on senior staff.

Target Audience

Primary customers are Transaction Services teams at Big 4 firms, mid-market advisory practices, private equity firms, and investment banks that perform financial due diligence on M&A deals.

Features

  • Automated account mapping with intelligent rule reuse across deals, eliminating manual mapping from scratch
  • Full traceability from GL entry to deliverable, ensuring audit-ready working papers on every engagement
  • QoE, NWC, and QoD analysis modules with adjustment tracking and documentation standards built in
  • Standardized data ingestion process compatible with major ERP systems including SAP, Oracle, and NetSuite
  • Automated validation checks that catch balance mismatches, mapping gaps, and missing periods before review
  • Reusable mapping libraries that preserve institutional knowledge and accelerate new joiner productivity
  • Built-in process standardization that reduces onboarding time from months to weeks for new analysts
This profile is AI-generated and may contain inaccuracies.