Private Equity
In today's private equity landscape, winning firms are those that compound value — not just close deals. Technology, AI, and deep engineering have become the critical levers shaping everything from due diligence to exit multiples.
LTTS delivers private equity engineering services that brings intelligence to the full hold period — transforming portfolio companies through modern platforms, intelligent data, and scalable execution. The result: faster time-to-market, stronger EBITDA, and the kind of operating alpha that holds up in diligence.
Our Promise to Your Portfolio Company
| Our Promise | What It Means for Your Portco | Our Competency |
|---|---|---|
| 30–40% R&D cost reduction | Engineering spend redeployed to growth, not overhead | Product Engineering · Operational Excellence |
| 6–9 months faster time-to-market | Earlier revenue. Stronger competitive moat. | Digital & Cloud · Data & AI |
| 2–3x engineering throughput | More launches, same headcount | AI-led Delivery · Engineering Intelligence |
| 15–20% fewer warranty failures | Quality that protects margin and brand | Product Engineering · Quality Engineering |
| Audit-grade defensibility | Clean diligence. Bulletproof exits. | Cybersecurity · Compliance |
| LP-ready ESG posture | Reporting that satisfies regulators and LPs | Sustainability & ESG |
The LTTS AI Advantage
AI isn't a feature. It's how we deliver.
- 60%+ of projects optimized by leveraging AI
- 70%+ of employees on AI-enabled managed services
- 1,900+ artifacts powering AI-driven delivery
- 50+ in-house AI tools for scalable engineering execution
Featured Solutions:
AI-Led Engineering: Nouvis, GenIQ and Agentic AI Studio | AI-Powered Testing: AiTest | Embedded and Edge AI: EmbedAI | Computer Vision and Analytics: AIViZ | Digital Manufacturing: LightsOut Factory | Sustainability and Engineering Intelligence: TrackEi™ | Digital Twin
How Agentic AI Is Reshaping Private Equity Value Creation
Value Creation Timelines Are Compressing: Every prior technology cycle gave private equity firms time to adapt. This one isn't. Agentic AI is compressing value creation timelines from years to quarters — eroding traditional software moats, collapsing cost curves, and raising the bar on what "transformation" actually means at exit.
AI-Native Operating Models, From Day One: The firms that will outperform aren't waiting for the hold period to prove it. They're building AI-native operating models from day one — treating AI not as a one-time initiative, but as a continuous factory of capability running across every portfolio company.
A Two-Speed Operating Model: That means a two-speed operating model: quick wins that protect EBITDA today, and structural plays that compound into exit value.
What This Means for Due Diligence: Technology due diligence should evaluate AI readiness, data quality, product disruption risks, engineering maturity, talent, governance — not just current-state systems. Firms that underwrite AI capability at entry are better positioned to compound it through the hold.
Resources
LTTS works directly with portfolio companies, not just the deal team. We support technical due diligence before you sign, develop a 100-day plan the moment the deal closes, and hands-on engineering across product, platform, and plant throughout the hold period. Everything ties back to the value creation thesis you underwrote.
LTTS develops a 100-day value creation plan that translates your investment thesis into a prioritized roadmap of engineering and operational initiatives. Early wins protect EBITDA while bigger structural changes — platform modernization, AI adoption, process redesign, get underway in parallel. The goal is momentum from day one, not a slow ramp-up.
LTTS helps portfolio companies walk into diligence with a clean story: documented architecture, defensible IP and cybersecurity posture, and clear evidence of the technology investments made during the hold. That reduces friction in buyer diligence and helps support the valuation at exit.
LTTS goes beyond a standard IT audit by evaluating whether the technology and engineering organization can support the growth plan you're underwriting. We assess architecture, talent, R&D investments, AI readiness, and identify both key risks and quick wins. The result is a due diligence report you can act on within the first 100 days, not just a compliance checklist.
LTTS is asked about this most often. Portfolio companies typically see 30–40% lower R&D cost through better engineering processes, AI-assisted development, and smarter allocation of spend toward growth work rather than overhead. Product velocity generally improves alongside the savings, since teams spend less time on rework.
LTTS can typically begin a due diligence or 100-day engagement within a matter of weeks, since we plug into your existing timeline rather than asking you to wait on ours. Delivery teams are already in place across our global engineering centers, so ramp-up is fast.