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Private Equity

Turn technology and AI into EBITDA

Technology and AI value creation for private equity firms and their portfolio companies: technical due diligence before close, AI and modernization during the hold, and a platform ready for exit.

Let's talk
See our AI engineering
Two Somnio engineers reviewing code together at their desks
+ 170

Products built

+ 95

Product experts on the team

Flutter

The first Flutter development company in LatAm.

5.0

Verified rating on Clutch

Google
Huawei
World Health Organization
CAA
dLocal
Nu
Siigo
Visible
Viant

What PE value creation covers

The technology side of the investment thesis. What the target really runs on, where AI can move EBITDA, and what a buyer will check at exit.

Technical and AI due diligence

Architecture, tech debt, security and AI readiness, scored before you close.

AI and automation

AI integration across product and operations. Automation and operational efficiency.

Product modernization

Legacy platforms moved to a stack that scales, without stopping the business.

Data and analytics

Pipelines and KPI dashboards that show the value created, company by company.

Dedicated teams

Senior talent that joins a portfolio company's team, for three months or three years.

Exit readiness

Reverse diligence and a technology story a buyer can verify.

*

Need a product built from scratch? Full Product Development covers mobile, web and desktop, from concept to production.

What we work with

Diligence

architecture and code review
tech debt and security gaps
AI readiness

AI and automation

LLM implementations
automation pipelines
AI native product design

Modernization and data

legacy migration and platform scaling
data pipelines and KPI dashboards
value creation reporting

Exit and integration

reverse diligence
technology story for buyers
add on acquisitions and carve outs

The team that finds the risk in diligence is the team that fixes it during the hold, working alongside each company's management team.

AI engineering

Technology turns into EBITDA growth

LLM implementations, automation pipelines, and AI-native product design, across products and operations.

01

AI-readiness assessment

Quantify technical risk before you close the deal.

02

AI integration across product and operations

Automation and operational efficiency.

03

AI and product story for the buyer

A scalable asset that commands a premium multiple.

How we work it

01
Before close

Diligence

We quantify technical risk and AI readiness, and you leave with a value creation plan for the hold.

02
First 100 days to year 3

Hold

We stabilize, modernize and automate, with teams that scale to the plan. Technology turns into EBITDA growth.

03
Late hold

Exit

Reverse diligence, a platform ready to scale and data that proves the value created, so the asset supports a premium multiple.

Dashboard cards showing a checklist, a rising chart and progress bars across the hold period

Who does this work

Card with a team icon

Technical Lead

Diligence, architecture options and effort ranges.

Card with a message icon

Delivery Manager

Executive reporting, milestones, risks and value created per company.

Card with an AI icon

Product and AI Team

Engineers, AI specialists, designers, PMs and QA, sized to each company.

Card with a checklist and an approval badge
Required.

Your operating partner

Value creation without a sponsor on the deal team produces a report.

One partner across the deal lifecycle

Stage
Typical challenge
What we bring
Diligence
Typical challenge
Hidden technical risk, tech debt, AI readiness
What we bring
Technical due diligence and AI assessment
First 100 days
Typical challenge
Quick wins, platform stabilization, value roadmap
What we bring
Value creation plan and dedicated teams
Value creation
Typical challenge
EBITDA growth, operational efficiency, scalability
What we bring
Modernization, AI, data and analytics
Exit
Typical challenge
A ready asset, a technology story, a premium multiple
What we bring
Scalable platform, reverse diligence, AI roadmap
Also available: portfolio tech health reviews · integration for add on acquisitions and carve outs.

One resource pool for the whole portfolio

Two engineers for three months or a full product team. We scale to demand with no forced commitments, and every team is backed by all of Somnio, so knowledge stays as each relationship grows.

5 FTEs
Preferred pricing
5%
10 FTEs
Enhanced pricing
10%
15+ FTEs
Strategic partner
15%
Discounts apply to the combined FTE total across all portfolio companies.

Success cases

Cucchiara
Fintech

Cucchiara

Cucchiara is an online brokerage operating in Argentina, Uruguay and New Zealand. Somnio built one investor platform on web and mobile, unified login across three regional databases and migrated every user with zero downtime.

Read more
Mobile App Development
Siigo
Finance

Siigo

Siigo is a leading ERP provider in Latin America. Somnio built a Flutter POS system and the Siigo A la Orden ordering app for restaurants, and migrated Siigo Nube to a unified cross-platform app.

Read more
Full Product Development

What our clients say

Tosan Lee

“Their approach started with a Product Discovery phase, including user research, UI/UX design improvements, and technical assessments to ensure scalability. Their proactive work made a real difference in the project's success”

Read the whole review
Tosan Lee
Tosan Lee
Co-Founder, Tracer Golf
Auston Anon

“Somnio Software has delivered an MVP that meets the changing needs of AI users. They've communicated effectively, have been highly responsive, and their project management is excellent. Their developers have become thought partners.”

Read the whole review
Auston Anon
Auston Anon
CEO, Fusion AI

Ready to Start Your Journey?

Belén
Technical Business Developer

I would love to talk to you about your project or needs.

Fill in the form or send us an email to hello@somniosoftware.com

Schedule a call

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FAQs

Still have some doubts?
No worries, here are some frequently asked questions that may help you.

What is technical due diligence in private equity?

Technical due diligence in private equity is a review of a target company's software, architecture, team and tech debt before the deal closes. Somnio also scores AI readiness, so you know what's realistic during the hold. You get a risk summary and a value creation plan you can take to the investment committee.

How can AI create value in portfolio companies?

AI creates value in portfolio companies through AI integration across product and operations, and automation and operational efficiency. Somnio delivers LLM implementations, automation pipelines, and AI-native product design, so technology turns into EBITDA growth.

What should technology work look like in the first 100 days?

The first 100 days after an acquisition are for stabilizing the platform, finding quick wins and staffing the value creation plan. That's usually where we start. Teams scale up or down as the plan changes, with no forced commitments.

Can one technology partner support several portfolio companies?

Yes. Somnio works as one resource pool for the fund, with stable teams in each portfolio company and executive reporting for every one of them. Volume pricing applies to the combined headcount, and what we learn in one company carries to the next.

Why work with a nearshore team in Uruguay?

A nearshore team in Uruguay works US hours. Montevideo is one to two hours ahead of US Eastern time, so portfolio companies collaborate in real time with senior talent, without adding fixed full time headcount.

Bring us the deal

A target in diligence, a platform that needs to scale or an exit on the calendar. Tell us what's on the table.

Let's talk!
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