The intelligence to know what's happening. The people to act on it.

Repeatable insights, consistent methodology, and experienced operators ready to deploy when you need them.

Whether you're evaluating a deal, supporting a new investment, or monitoring portfolio health, Engine gives you experienced people and systematic tools to reduce risk and accelerate value creation

Engine works across the full investment lifecycle.
Not just at the moment of decision.

The model gets richer at every stage. The longer you use it, the more valuable it becomes.

01

Origination

A rapid, structured view of a company from minimal inputs — shortening the initial funnel. Senior operators bring the sector pattern recognition that sharpens the questions worth asking next.

02

IC assessment

The model deepens as diligence progresses, producing an evidence-based investment case with explicit gaps and residual risks. People act as a sounding board on risk and deal structure.

03

Post-deal

The diligence model becomes a live operating plan, tracking the value-creation priorities agreed at IC. People work alongside the company through the first 100 days.

04

Portfolio management

A live view of portfolio health — early signals, recurring themes, where attention is needed across the book. People step in where insight points to a barrier at portfolio or company level.

05

Follow on

Operating data, the diagnostic baseline, and a refreshed Assess view build the evidence base for top-up decisions. People bring the in-life context that makes the follow-on read sharper.

06

Exit

Engine identifies what needs to be in place for a successful exit and tracks progress against it. People bring exit advisory and specialist support to close the readiness gaps.

Systematic assessment, not ad hoc due diligence.

Engine gives investors two things working in combination: AI-driven tools that provide systematic, repeatable insight across your portfolio — and experienced operators who can deploy into portfolio companies and drive value creation directly.

Structured, evidence-based assessment

Consistent, comparable data across every deal and every portfolio company — so you're making decisions on evidence, not instinct.

Portfolio-wide visibility at scale

Tools that work across 10 companies or 100, giving you early warning signals and standardised reporting without hiring a team of analysts.

Pattern recognition across your portfolio

We spot the common themes and risks across your portfolio that are easy to miss when you're looking at each company individually.

Senior operators, ready when you need them

Whether it's a specific capability gap, a critical decision, or sustained operational support — we deploy the right person at the right moment.

Portfolio Companies

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Engine Platform

Systematic monitoring & insight across your portfolio

Investor

Portfolio oversight & decisions

Engine Team

Deployed when needed

Better portfolio decisions

Defensible at IC, at the board, in audit

Every element of the Engine model carries one of four maturity labels — Claimed, Triangulated, Evidenced, Validated. You always know what Engine knows, what it doesn't, and what it would take to close the gap. The gaps become your diligence agenda, not something papered over.

Why not just use Claude or ChatGPT?

For a single question, on a single company, in a single sitting, Claude or ChatGPT can do a lot. But investment isn't a single question. It's a multi-player process that runs across months and years — and the thing that makes a firm good at it is the understanding it builds over time, across the team, across the portfolio, across the lifecycle. Chat tools are episodic. Investment isn't. Engine is the place where that understanding lives, compounds, and gets shared.

Featured Case Study

How we helped a national investment institution build portfolio-wide intelligence.

Challenge

A major public investment institution needed a consistent, real-time picture of portfolio health across a diverse cohort of early-stage businesses — without adding to the reporting burden on stretched founding teams.

What we did

Deployed Engine.Diagnose across a pilot cohort. In parallel, built and deployed Engine.Assess and Engine.Insights with 40+ specialist AI agents — delivering automated due diligence, gap analysis, and mission alignment scoring mapped to the institution's own investment process.

Result

Seven cross-portfolio strategic themes surfaced that had never been visible before. Institution now exploring full portfolio rollout across the entire investment lifecycle.

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Portfolio companies

40+

Agents deployed

7

Cross-portfolio insights

8 week

from diagnostic to action

See how Engine works for investors

Request our investor pack — and see exactly how we work.

What's in the investor pack:

  • Engine overview (how we work)
  • Sample diagnostic report (redacted)
  • Sample Due Diligence findings (redacted)
  • Case studies