What kind of problems do you typically solve for PE-backed companies?

Most issues come down to fragmented data. Systems do not connect. KPIs are defined differently across companies. Reporting is manual and slow. This creates delays in integration, unclear visibility for operating partners, and challenges during exit. We fix the data layer so decisions can be made on consistent, reliable numbers.

What does the initial engagement look like?

We start with a diagnostic phase that runs for 4 to 6 weeks. During this time, we map systems, identify data gaps, and uncover hidden issues. The output is a clear 90-day plan with specific actions. This helps you understand where the real problems are before committing to a larger build.

How long does it take to see results?

Most companies start seeing impact during the foundation phase, which typically takes 8 to 12 weeks. This is when systems get connected, data is unified, and reporting becomes consistent. In many cases, reporting timelines drop from days to the same day once this layer is in place.

Do you work directly with portfolio companies or through the PE firm?

We do both. We align with the operating partner first, then work directly inside the portfolio company. Our teams integrate with the portco’s engineering, data, or finance teams and take ownership of execution. This ensures changes actually get implemented, not just planned.

Can this approach be applied across multiple portfolio companies?

Yes. One of the key advantages is standardization across the portfolio. We can apply the same data architecture and KPI definitions across multiple companies. This gives operating partners a consistent view instead of dealing with different formats and definitions in each business.

How does this impact exit readiness and valuation?

Buyers look closely at data quality during diligence. If reporting is manual, inconsistent, or ungoverned, it raises concerns and can affect valuation. A clean, standardized data layer with reliable reporting improves transparency and confidence, which directly supports a smoother exit process.

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Your portfolio companies are sitting on broken data

We go into PE-backed companies, fix the data foundation, and build the reporting and AI layer on top of it. Faster synergies. Cleaner numbers for the board. Companies that are actually ready for exit.

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What we enable

Fixing the data layer removes friction across integration, reporting, and value creation. It gives operating partners clear visibility and control across portfolio companies.

What we enable

Fixing the data layer removes friction across integration, reporting, and value creation. It gives operating partners clear visibility and control across portfolio companies.

Faster synergy realization

Connected systems and consistent data reduce delays in integration and execution.

Clear EBITDA visibility

Standardized KPIs and reporting make performance measurable and actionable across companies.

Revenue and cost optimization

Reliable data enables pricing, cost control, and operational improvements across portfolio companies.

Better decision-making at every level

Leadership teams operate on consistent, real-time data instead of fragmented reports.

AI that works inside operations

Move beyond pilots by embedding AI into workflows with reliable, governed data.

Stronger exit readiness

Clean, governed data improves buyer confidence and reduces friction during diligence.

Built across financial and regulated environments

Alternative asset management

Specialty lending

Wealth management

PE-backed platforms

Experience with clients backed by

Built across financial and regulated environments

Alternative asset management

Specialty lending

Wealth management

PE-backed platforms

Experience with clients backed by

What we do

We fix the data layer first, then build reporting and intelligence on top of it.

What we do

We fix the data layer first, then build reporting and intelligence on top of it.

Unify fragmented systems

Connect systems that do not talk to each other and remove manual handoffs.

Standardize data and KPIs

Ensure revenue, metrics, and reporting definitions are consistent across companies.

Build reporting and AI layers

Create dashboards, automated reporting, and AI-driven insights on top of clean data.

What this looks like in practice

These are the kinds of changes we typically deliver inside PE-backed companies.

From fragmented to unified reporting

Multiple systems replaced with a single, consistent reporting layer.

From delayed to real-time visibility

Board and operating teams move from multi-day reporting to same-day access.

From manual to automated workflows

Data flows and reporting no longer depend on manual effort.

From inconsistent to standardized KPIs

Common definitions applied across companies for comparable performance tracking.

From fragmented to unified reporting

Multiple systems replaced with a single, consistent reporting layer.

From delayed to real-time visibility

Board and operating teams move from multi-day reporting to same-day access.

From manual to automated workflows

Data flows and reporting no longer depend on manual effort.

From inconsistent to standardized KPIs

Common definitions applied across companies for comparable performance tracking.

From fragmented to unified reporting

Multiple systems replaced with a single, consistent reporting layer.

From delayed to real-time visibility

Board and operating teams move from multi-day reporting to same-day access.

From manual to automated workflows

Data flows and reporting no longer depend on manual effort.

From inconsistent to standardized KPIs

Common definitions applied across companies for comparable performance tracking.

From fragmented to unified reporting

Multiple systems replaced with a single, consistent reporting layer.

From delayed to real-time visibility

Board and operating teams move from multi-day reporting to same-day access.

From manual to automated workflows

Data flows and reporting no longer depend on manual effort.

From inconsistent to standardized KPIs

Common definitions applied across companies for comparable performance tracking.

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How this scales across your portfolio

Once the foundation is fixed in one company, the same approach can be applied across others with consistency.

How this scales across your portfolio

Once the foundation is fixed in one company, the same approach can be applied across others with consistency.

Standardize across multiple portcos

Apply the same data model and KPI definitions across companies.

Create a single operating view

Give operating partners one consistent view instead of fragmented reports.

Reduce repeated effort

Avoid rebuilding the same data systems in every company.

Scale value creation faster

Move from one-off fixes to portfolio-wide execution.

HOW WE ENGAGE

We start with a focused diagnostic inside one portfolio company and expand based on results.

HOW WE ENGAGE

We start with a focused diagnostic inside one portfolio company and expand based on results.

Start with a diagnostic

4 to 6 weeks to map systems, identify problems, and define a clear plan.

Build the foundation

8 to 12 weeks to connect systems, unify data, and standardize reporting.

Layer intelligence

Ongoing work to build dashboards, reporting, and AI capabilities.

Work inside your companies

We embed with portco teams and own execution alongside them.

Start with a diagnostic

4 to 6 weeks to map systems, identify problems, and define a clear plan.

Build the foundation

8 to 12 weeks to connect systems, unify data, and standardize reporting.

Layer intelligence

Ongoing work to build dashboards, reporting, and AI capabilities.

Work inside your companies

We embed with portco teams and own execution alongside them.

DISCUSS A PORTFOLIO USECASE

Start with a diagnostic

4 to 6 weeks to map systems, identify problems, and define a clear plan.

Build the foundation

8 to 12 weeks to connect systems, unify data, and standardize reporting.

Layer intelligence

Ongoing work to build dashboards, reporting, and AI capabilities.

Work inside your companies

We embed with portco teams and own execution alongside them.

Start with a diagnostic

4 to 6 weeks to map systems, identify problems, and define a clear plan.

Build the foundation

8 to 12 weeks to connect systems, unify data, and standardize reporting.

Layer intelligence

Ongoing work to build dashboards, reporting, and AI capabilities.

Work inside your companies

We embed with portco teams and own execution alongside them.

DISCUSS A PORTFOLIO USECASE

PARTNER + CERTIFICATE

Recognized by Platform Leaders. Trusted in Production.

PARTNER + CERTIFICATE

Recognized by Platform Leaders. Trusted in Production.

Talk about your portfolio

Pick a process where work is slowing down. We’ll help you turn it into a system that runs with minimal manual effort.

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