Private Equity

PE Roll-ups

Accelerate value creation. Deliver a unified AI experience to your users even before the backends are integrated.

The Problem

Private Equity roll-ups face a unique challenge: multiple acquisitions, fragmented tech stacks, and pressure to deliver value fast.

  • Each acquisition has its own systems, APIs, and documentation

  • Consolidating platforms takes years and millions in investment

  • Customers and internal teams experience friction across products

  • AI initiatives stall because "we need to sort out the tech debt first"

You need to show value creation now, not after a multi-year integration programme.

The Solution

strikeUp lets you deliver a unified AI experience across fragmented backends, without waiting for platform consolidation.

  • One AI layer that connects to multiple acquired platforms simultaneously

  • Intelligent routing to the right system, product, or support team

  • Unified knowledge base across all acquisitions

  • Custom integrations that handle legacy and oddball systems

  • A consistent user experience, regardless of what's happening under the hood

Your portfolio gets AI that works today. Not after the re-platforming is done.

How It Works

  1. Map your portfolio
    Connect APIs from each acquired platform. strikeUp handles the complexity of multiple backends.

  2. Unify the experience
    Configure a single AI copilot that spans products. Users interact with one intelligent interface, not five different systems.

  3. Route intelligently
    Set up rules for how queries are handled across platforms. Human handoffs route to the right support team per product.

  4. Consolidate knowledge
    Upload documentation from all acquisitions into a unified knowledge base. The AI draws from the full portfolio.

Key Capabilities

  • Multi-product experience across fragmented backends

  • Toolkits that connect to every acquired platform

  • Custom integrations for legacy systems

  • Unified knowledge base across acquisitions

  • Human handoff routing to the right team per product

  • Authentication that respects existing access controls

  • Analytics at the portfolio and product level

Example Outcome

Before:

Three acquisitions, three support teams, three sets of documentation, and a broken user experience. Customers don't know who to call. Internal teams waste hours.

After:

One agentic layer that unifies all three products into a single experience, making it easy for your users to get work done whilst not overloading your internal teams

Result:

Faster time to value, reduced support costs, and a customer experience that feels integrated, even when the backend isn't.

Best For

  • PE-backed portfolios with multiple SaaS acquisitions

  • Operating partners driving AI and digital transformation

  • Portfolio companies with legacy tech debt

  • Teams that need to show value creation before full integration

See your product, now with AI

We’ll build a working demo on your SaaS. It takes less than 30 minutes. No commitment, no sales pitch. Just your product, with AI.

More use cases

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SaaS

B2B SaaS Platforms

Ship production-grade AI into your SaaS product. Fast.

SaaS

B2B SaaS Platforms

Ship production-grade AI into your SaaS product. Fast.

Internal Tools

Internal Teams

Delight your colleagues by making your internal tools AI-native without hiring AI engineers. Ship in weeks, not quarters.

Internal Tools

Internal Teams

Delight your colleagues by making your internal tools AI-native without hiring AI engineers. Ship in weeks, not quarters.