Industries
/ Private Equity

Driving Returns through
Tech, Data & AI

The New Value Equation: leverage and multiple expansion no longer carry a deal. Returns come from operational value creation across the hold, and that runs on systems, data, and AI.

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PRIVATE EQUITY PARTNERS
Bridgepoint logo
Capital Croissance logo
Ardian logo
IK Partners logo
Seven2 logo
Raise logo
Andera Partners logo
Arkéa logo
Ixope logo
Featured Story
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Customer Story
Healthcare

Chronos Dental - Digitalizing the Dental Lab Network

Value Creation Timeline

01
PRE-DEAL

Tech DD

Audit the target's tech, data and security before you sign. Risk priced, upside quantified.

Seven-dimension tech DD. The red flags that move the price. The upside the seller never built.

02
ENTRY

First 100 Days

Turn the investment thesis into a tech and data value creation plan. Baseline set, quick wins shipped.

100-day plan. Reporting baseline live by day 30. First AI use cases scoped.

03
HOLD

Value Creation

Execute the roadmap. Centralized data, AI leverage, operational visibility across the company.

Data hub and BI layer. AI in the P&L, not the deck. Quarterly value tracking.

04
EXIT

Exit-Ready

Make tech a valuation premium, not a diligence risk. The next buyer finds a platform.

Mock tech DD. Key-person dependencies removed. Data governance as a selling point.

about-us-img
Liloye Molin
Co-founder, Stratos
From the founders

We've sat on both sides of the table: founders who scaled and exited, and CTOs who built the systems a fund underwrites. We know what a value creation plan looks like when it actually ships.

What We Do

Our Private Equity Expertise

01. Technology Due Diligence
02. Value Creation Planning
03. 100-Day Plans
04. Automated Reporting
05. AI Value Levers
06. Tool Assessment
07. Data Governance
08. Interim CTO

How We Work with Your Portfolio

1. Portfolio Review

We screen the portfolio with you to find the companies where IT, data or AI is holding back value, or hiding it.

2. CEO Meeting

We sit down with the portfolio company's CEO to qualify the situation and scope what's actually at stake.

3. Roadmap

A focused assessment: where the gap is, what it costs, and what closing it is worth. Tied to a number and a timeline.

4. Execution

We deliver the plan and stay to drive it. Advice you can't execute is just a slide.

Customer Stories

July 20, 2026
Software - B2B SaaS (M&A Technology) - Product architecture, AI, security & compliance

Blackroom: An AI-native M&A data room, with Claude in the product.

Stratos built Blackroom to challenge two-decade incumbents in the virtual data room market, with Claude powering the intelligence dealmakers use inside the room.

AI-Driven Development
Product Architecture
Systems
June 8, 2026
Sustainable Water Systems

Castalie: How Stratos Guided Castalie’s IT Roadmap for Scalability

Stratos partnered with Castalie to audit and overhaul an aging IT infrastructure. By moving away from a limiting monolith to a "Best of Breed" stack, Stratos designed a roadmap to secure revenue, optimize field operations, and support Castalie’s rapid growth.

Strategy
Digital Transformation
Architecture Design
June 8, 2026
Healthcare

Chronos Dental - Digitalizing the Dental Lab Network

Chronos Dental modernized its network of laboratories by deploying a custom tool to replace manual workflows with real-time traceability and a seamless digital link between dentists and prosthetists.

Buy and Build
Digital Transformation
Process Automation
Resources

Insights

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June 5, 2026
B2B Services

The Mismatch Trap on CRM: Why One Size Does Not Fit All in Business Services CRM

Your CRM succeeds only when it reflects how you actually go to market

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February 6, 2025
B2B Services

EFOR: Discipline Before Digitalization

EFOR’s success shows the paradox: no tools until 100m of revenue, just world-class execution

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June 28, 2024
B2B Services

The Current State of Systems, Data, and AI in B2B Services

B2B services firms show strong delivery digitization but still operate with fragmented systems, complex data, and uneven AI adoption.

Ready to solve
tech challenges?