M&A Support

When a deal is moving, you need someone who can read the data room, test the metrics, and tell you what is real.

We support acquisitions and capital raises with independent analytics, metric checks, and clear reporting so you can make decisions with less risk.

We work closely with your finance, analytics, and product teams so the numbers line up before you sign or raise.

The problem

The numbers in the deck do not always match the numbers in the data.

Key metrics like ARR, churn, active users, and retention are defined differently across teams.

The data room is scattered across tools, spreadsheets, and half-finished dashboards.

You need to know what is solid, what is weak, and what will take time to fix after close.

You do not want surprises after signing, funding, or integration starts.

We go through the data room, reconstruct the metrics, and compare the story to the underlying data.

We check definitions, logic, and data quality so the numbers stand up to scrutiny from investors, buyers, and internal teams.

We help you understand customer cohorts, usage patterns, revenue quality, and where the risks are hiding.

If something does not add up, we trace it back and make the gap clear before it becomes a deal problem.

Metric validation

Independent checks on the numbers that matter, including ARR, churn, retention, usage, and pipeline where relevant.

Data room review

A clean read of the source material, with gaps, inconsistencies, and missing definitions called out clearly.

Revenue and usage analysis

A view of how customers behave, how revenue is moving, and what that means for the deal or raise.

Risk flags before close

A practical list of issues that could affect valuation, timing, integration, or post-close work.

Ongoing support

Help during the transaction, diligence, or transition period so the team is not left guessing.

dbt

AWS

Google Cloud

Snowflake

Databricks

Python

MySQL

PostgreSQL