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For Private Equity Operating Partners
Cloud & AI Solutions for the full lifecycle of a PE portfolio
From pre-acquisition diligence to exit readiness. Engineering depth at SMB scale and SMB speed.
Cloud and AI are EBITDA levers. Most portfolios aren't pulling them.
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Compounding effect
Every dollar of AWS cost saved compounds into roughly $25 of enterprise value at exit. Every percentage point of AI-driven margin improvement moves the valuation. Every diligence finding cleaned up before exit removes a buyer's discount.
The math is well understood. Execution is the problem. Enterprise AWS partners show up for the largest portfolio companies. For the $20M to $200M ARR companies that make up most portfolios, the value creation thesis dies on the slide because no partner will engage at their scale.
From diligence to exit,
the cloud work that compounds value
A five-day AWS diligence on any target. Architecture, security, cost, technical debt, AI-readiness.
Output: a memo your deal team can attach to the IC deck.
IT consolidation, legacy migration to AWS, security baseline alignment in the first 90 days. MAP-funded migrations when eligible.
Fixed-price scopes throughout.
Three to five years between acquisition and exit are where EBITDA gets made. Cost optimization (20–30% typical), AI enablement, data modernization, managed services.
Engaging at the scale each portfolio company needs.
A pre-diligence cleanup six to twelve months before exit. Well-Architected benchmarking, technical debt removal, security hardening.
The runbook buyers' diligence teams will ask for.
One view across the AWS spend in every portfolio company
Operating partners typically see twelve AWS bills, twelve security postures, twelve architecture decisions — with no way to standardize. Cloudtech sets up portfolio-level visibility so you don't have to.
Standardized AWS Control Tower across portfolio companies. One pane of glass for the operating partner; full autonomy for each company.
Consolidated cost reporting and FinOps reviews. Identify which companies are over-provisioned and where the cost-takeout opportunities concentrate.
Common security baseline with continuous monitoring. Reduces audit findings, lowers cyber-insurance premiums, removes diligence objections before they're raised.
AI moves portfolio EBITDA. we deploy it where it actually does.
Most portfolios have done the easy AI experiments with copilots, marketing copy, summarization. The next layer is AI that takes real action: sales agents, support resolution, document processing at scale. This is the work that shows up in EBITDA.
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Built on Amazon Bedrock and our ElevenLabs partnership.
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Voice and chat agents that scale sales and support without scaling headcount.
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Document processing, financial automation, back-office agents.
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AI features inside portfolio company products, where the AI itself is part of the value thesis.
The audits PE firms actually need.
Architecture, security, cost, scalability, AI-readiness on a target company. Memo for the deal team.
Well-Architected benchmark of an existing portfolio company. Scorecard the operating partner reads in ten minutes; fix list the CTO executes.
Pre-diligence cleanup six to twelve months before exit. Architecture docs, cost optimization, security hardening. Four to eight weeks.
Three engagement models, tuned for portfolio dynamics.
One company, one scope, fixed price. Most common starting point.
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Three to five companies in parallel. Memo for the operating partner, individual memos for each CTO.
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Coordinated engineering across multiple portfolio companies. One contract, shared learning, single point of contact.
PE portfolio engagements,
coming soon
Cloudtech is building a dedicated PE practice. In the meantime, explore our work in Healthcare and Hospitality, same SMB-focused model, same fixed-price delivery.
Let's talk about the portfolio.
A 30-minute conversation with Cloudtech's founder. We'll walk through how we'd engage with your portfolio, what the audits look like in practice, and whether we're the right partner.