Deal screening & disruption risk
Scan target companies for AI disruption exposure across pricing power, competitive position, moat durability, and workflow control before the market reprices the asset.
We build internal AI products for both sides of the PE lifecycle: pre-investment due diligence that surfaces AI disruption risk, defensibility, and value-creation opportunities, and post-investment operational tools that drive measurable margin improvement, revenue growth, and enterprise value across portfolio companies.
We begin with the operating reality, then design the product around the people, decisions, rules, and evidence already in the work.
Scan target companies for AI disruption exposure across pricing power, competitive position, moat durability, and workflow control before the market reprices the asset.
Assess the target's current software stack, data assets, automation gaps, and AI readiness to quantify the build-vs-buy opportunity and estimate value-creation runway.
Prioritize internal product investments based on ROI, timeline, and strategic fit. Identify which workflows to consolidate, automate, or rebuild first for fastest impact.
Design and build the internal AI products identified during diligence: unified data platforms, workflow automation tools, BI agents, and customer-facing intelligence.
Standardize metrics across portfolio companies, track value-creation milestones, and report to the IC and LPs with real-time data instead of quarterly spreadsheet decks.
Share learnings, components, and playbooks across portfolio companies so each investment benefits from the last one's build.
Not a standard product you have to work around. A focused operating layer that can connect the tools and data you already use.
AI-powered analysis of competitive landscape, disruption risk, and defensibility for any target company — the same engine behind Jetpack Zero.
Inventory the target's SaaS spend, manual workflows, data silos, and automation opportunities with quantified savings estimates.
Prioritized build plan with estimated ROI, timeline, and resource needs for each internal product investment across the hold period.
Unified internal product replacing scattered tools across the portfolio company: CRM, ERP, reporting, analytics, and workflow automation in one system.
Natural-language queries across portfolio metrics, deal comparables, and operational data — answers in seconds instead of analyst hours.
Auto-generated investment committee and LP updates with real-time portfolio performance, value-creation progress, and exception alerts.
These are deployment results and study findings, not forecasts for your business. We use them to establish plausibility, then model your ROI from your own volume, time, labor cost, error rate, and throughput.
24-month value creation from internal AI products across portfolio companies.
Our PE diligence platformAutomated fact extraction and conflict detection replaces manual spreadsheet review.
Jetpack Intel deploymentsCombined value creation initiatives across commercial, financial, and operational levers.
Evergence value creation modelsAI-powered disruption risk analysis replaces weeks of manual research.
Jetpack ZeroUpload a data room, extract investment metrics automatically, detect conflicting values across documents, and search the content semantically. A working POC of our PE diligence intelligence platform.
Launch Diligence Demo →We’ll show you the internal AI product that can simplify it.
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