Uncap Your Deal Velocity.
We implement the intelligence infrastructure that automates sourcing, diligence, and synthesis—allowing your bankers to focus on judgment and negotiation, not data extraction.
Request a Deal Velocity DiagnosticManual Synthesis is the Bottleneck
High-performing M&A teams are typically bottlenecked by manual synthesis: scanning hundreds of CIMs, normalizing financials from messy data rooms, and drafting repetitive materials. This manual friction caps the number of active deals per banker.
ExecuteML redesigns the deal lifecycle. We treat your firm's knowledge not as static files, but as a retrieval system that actively surfaces insights.
Where Deal Time Gets Lost
How We Transform M&A Operations
Purpose-built intelligence infrastructure for every stage of the deal lifecycle.
Automated Deal Screening
Ingestion pipelines that scan news, databases, and inbound teasers to score targets against your specific buy-side criteria before an analyst even opens the file.
Diligence Operating Systems
AI workflows that extract, normalize, and flag risks across thousands of documents in a Virtual Data Room (VDR)—turning weeks of associate review into hours of review-and-verify.
Deliverable Acceleration
Systems that auto-draft substantial portions of Teasers, CIMs, and Market Updates based on structured inputs, requiring only editorial refinement from senior bankers.
Automating Deal Sourcing
Manual target screening limits the number of deals a firm can review. Analysts spend days on Google just to build basic target lists. We built a Strategic Intelligence Engine that processed 30M+ businesses. Using vector search, it allows bankers to ask complex thesis questions ('Show me profitable data centers in CA...') and receive fully enriched tear-sheets in seconds.
“ExecuteML automated our entire 'First Pass' diligence layer, allowing our deal teams to screen 100x more targets without adding headcount. The intelligence engine has fundamentally changed how we source opportunities.”
How We Work
A structured engagement model designed for predictable outcomes and knowledge transfer.
Map your current deal workflow, identify synthesis bottlenecks, quantify time leakage across screening, diligence, and deliverables.
Build document ingestion pipelines, AI extraction models, scoring frameworks, and deliverable generation systems.
Train your team on the new systems, refine models based on deal feedback, measure deals-per-banker velocity.
Built for Deal Teams, Not IT
We understand the nuances of M&A workflows—the pressure of live deals, the importance of accuracy in financial data, and the need for systems that adapt to each transaction's unique structure.
- Domain expertise in financial services and deal execution
- Systems designed for banker workflows, not generic document processing
- Rapid deployment that doesn't disrupt active deal flow
- Continuous model refinement based on your firm's feedback
The Deal Velocity Equation
Uncap Your Deal Capacity
If manual synthesis is limiting how many deals your team can run, we should talk.
ExecuteML will diagnose your deal workflow, identify the highest-impact automation opportunities, and build the intelligence infrastructure to capture them.
Request a Deal Velocity Diagnostic