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AI Creates Value Across Your Firm and Portfolio. Where Do You Want to Start?
The Fastest Deal Teams Run AI Inside the Deal Cycle.
Nearly every firm uses AI for CIM summaries and memo drafts. The leaders go further and embed it in the deal cycle itself, sourcing through exit prep, with measured output at every stage. A fund that runs AI in its own workflows sees more deals, screens them in days, and exits on its own timing.
Everyone's Funding Portfolio AI. Few Are Shipping It.
Firms across the industry are funding portfolio AI. The ones creating measurable value run a governed, repeatable playbook that ships inside the hold period, with owners, milestones, and dollars attached. The results show up twice: in monthly P&L during the hold, and in the exit narrative at the end of it.
Where AI Fits in the Deal Cycle
Every stage of the investment lifecycle has named AI use cases. The fund path covers the three your team runs end to end. The measured results come next.
Deal Sourcing
A wider funnel, same team. Market data surfaces thesis-fit targets before they reach a banker's list.
Diligence & Knowledge
Faster reviews, lasting memory. Data rooms read in hours, and past deals and decisions stay searchable.
Fund Operations
Reporting season, contained. LP reporting and compliance drafted from data, with a full audit trail.
Portco Value Creation
Value the portfolio can see, with revenue uplift and EBITDA gains inside the hold period.
Four Fund Workflows, Each With a Measured Result
Sourcing is the most common first build: data the fund already owns, a workflow every partner touches, and a result that shows up in the pipeline numbers.
An Always-On Origination Engine
Market data ingested continuously to surface thesis-fit targets before they reach a banker's list. CIMs summarized and red-flagged before formal diligence begins.
Data Rooms in Hours, Memory That Compounds
Contract terms extracted and unusual clauses flagged on ingest. An IC memo repository makes past deals, decisions, and thesis rationale searchable in natural language.
Reporting Season Without the Scramble
LP reports drafted from standardized data with a full audit trail. Compliance filings tracked against regulatory change as it happens. LP questions answered with sources.
Exit Prep as a Standing Capability
Continuous KPI monitoring catches revenue softness and margin compression before the quarterly report, and feeds data rooms, management presentations, and buyer targeting.
Where AI Value Sits Across a Portfolio
Not every AI use case moves the same lever. The flagship build starts inside portfolio company operations, where results land in the P&L fastest, then extends up the stack toward product and the exit narrative.
AI-Enabled Products & Business Model Redesign
Exit differentiation that changes the conversation with buyers.
Portfolio Company Operations
The fastest path to P&L impact, inside the first hold-period year.
Fund / GP Operations
Speed and capacity for the fund itself, compounding across every deal.
The Five-Stage Playbook
Modeled on value creation plan discipline: initiative-level accountability, measured KPIs, and exit narrative integration. Five stages, each with a named deliverable.
Assess
Portfolio readiness scan, data and systems inventory, workflow pain-point map.
Prioritize
3–5 use cases per portco, ranked by EBITDA impact and replicability, integrated into the VCP.
Execute
Flagship build: data pipelines, AI integration, workflow redesign, KPI instrumentation.
Monitor
ROI tracked against VCP targets, with board-ready monthly reporting.
Replicate
Reusable templates and cross-portfolio learning. The next portco starts further ahead.
Four Portfolio Results, Each Measured
Four measured results, one method: assess the workflow, launch a flagship build, measure the impact, replicate what works.
AI-driven analysis of 15,000+ software agreements surfaced redundant contracts, pricing inconsistencies, and renegotiation opportunities at portfolio scale.
GenAI indexing of thousands of legacy product specification documents, de-duplicated, structured, and surfaced to field technicians as they work.
GenAI-powered content generation and sales enablement: reusable templates, personalized collateral, and 30% more content output.
Eight concurrent builds across five business functions: sales automation, customer care, content ops, and product development.
A PE-Backed Services Company Became a Software Business and Walked Into a Stronger Exit.
An energy services and facility solutions provider with 700+ employees and 30+ locations was running on manual processes. Assessments lived in spreadsheets, reporting was done by hand, and scaling the business meant adding more people.
Compoze Labs embedded with their team across four product releases, replacing manual field operations with a custom platform for assessments, capital planning, and client reporting.
Three years later, they weren't selling services anymore. They were selling the platform, and the technology had become the centerpiece of the exit narrative.
Most AI Programs Stall in the Same Places. The Playbook Has a Structural Answer for Each.
Six failure modes show up in nearly every stalled program inside the fund.Six failure modes show up in nearly every stalled program across the portfolio. Each one is designed out of the playbook from the start.
3–5 ranked use cases, scored by EBITDA impact, feasibility, and replicability.
Every build tied to the underwriting thesis, a margin target, or the exit story.
Workflow redesign first, the #1 predictor of AI impact (McKinsey).
One full-stack team owns data, integration, and AI all the way to production.
Embedded engineers plus capability transfer, so your team owns it when we leave.
Reusable templates and a cross-portfolio learning cadence that compound every win.
Want This for Your Fund?Want This Across Your Portfolio?
30 minutes on the workflows your fund runs every quarter, with our point of view on where AI lands first and how we'd go after it. 30 minutes, your portfolio, with our point of view on where the AI value is and how we'd go after it.
One Full-Stack Team, End to End
Strategy, data, engineering, and production from one team that owns the work from first idea through launch. We build inside your fund's workflows, with no handoffs.We build inside your portfolio companies, with no handoffs.
End-to-End Ownership
One partner across the full AI stack. We own it from first idea through production launch.
Co-Built with Your Teams
We build alongside your deal team and portco teams, with full capability transfer. Your team owns it when we leave.
Measured by What Ships
Every initiative instrumented with KPIs and judged by what holds up in production, with board-ready reporting from day one.
Auditability by Default
Sourced, traceable answers for anything LP- or regulator-facing: DDQs, fund reports, compliance filings.
Reusable Patterns
What works in one workflow becomes a template for the next, whether that's the next fund workflow or the next portco.
AI-Native by Default
The same AI-native workflow we run internally powers your builds, turning weeks of estimated work into focused hours.
$35K to Start. $75K–$150K Per Flagship Build.
Fixed scope, measured returns, and deliverables your deal teamyour operating teams can act on at every stage.
A $75K–$150K Build Returns More Than a $500K Retainer.
A strategy retainer produces a roadmap. A Compoze build ships a working system into your deal cycle, measured against results like these.
A strategy retainer produces a roadmap. A Compoze build ships a working system across your portfolio, measured against results like these.
Tell Us About Your Fund. Tell Us About Your Portfolio.
A 30-minute conversation on the workflows your fund runs every quarter: where we see AI landing first, how we'd execute, and what it would cost. You leave with a clear view of what's possible. A 30-minute conversation walking through where we see the biggest AI value across your specific holdings, how we'd execute, and what it would cost. You leave with a clear view of what's possible.