AI EXECUTION
How AI Runs This Fund
This is not a fund that plans to use AI. The AI is operational today — sourcing deals, scoring targets, simulating outcomes, and monitoring the portfolio in real time. The same AI we use to run the fund is the AI we deploy into every business we acquire.
AI at the Fund Level
Most funds describe AI as a future capability. Ours is operational across the full investment lifecycle — not a feature, but the architecture.
Sourcing
AI scans 18+ data sources continuously — broker listings, company registries, financial databases, news signals, social data. ML models identify targets matching fund criteria before a human sees them.
Scoring
Mikata, our operating acquisition-screening system, scores Japanese targets on compression upside, the strongest credible revenue play, evidence confidence, and durability. It rewards businesses with AI-addressable payroll behind licences, physical assets, local density, or other defensible real-world constraints.
Qualifying
AI-assisted due diligence on financials, contracts, customer concentration, and operational dependencies. Structured extraction and synthesis at a speed no analyst team can match.
Simulating
Before any capital commitment, AI models the target's post-transformation state — projected automation coverage, margin expansion, implementation timeline, risk scenarios. The model uses the same engine that executes post-acquisition.
Executing
Deal structuring, negotiation preparation, and closing workflows are AI-augmented. Pattern matching across prior acquisitions accelerates every subsequent deal.
LP Reporting
AI-generated LP reports with real-time data, natural language narratives, and anomaly detection. LPs see what's happening now — not what happened last quarter.
AI at the Portfolio Level
Post-acquisition, the fund's 50-person engineering team deploys AI into each business from day one. This is where the thesis becomes tangible.
Operations
AI agents handle customer service, scheduling, reporting, and domain-specific workflows. Human roles shift to oversight, relationships, and exception handling.
Monitoring
Real-time dashboards track transformation KPIs — automation coverage, margin trajectory, customer satisfaction, operational efficiency. Not quarterly reports — continuous signal.
Playbooks
Every acquisition makes the AI smarter. Each transformation generates operational data, sector-specific playbooks, and calibrated models. Transformation #5 takes half the time and cost of #1.
Proprietary stack
AI agents, automation, and vertical tooling built for one acquisition deploy across the portfolio. Each deal adds reusable IP—later transformations cost a fraction of the first.
The Compounding Effect
This is not a linear process. Each turn of the flywheel makes the next one faster, cheaper, and more valuable as capital, data, and playbooks compound inside a single PE portfolio.
Lean Fund Infrastructure
The fund uses a Delaware structure selected for simpler formation and lower administration cost than a Cayman structure. The operating layer remains technology-led: transparent portfolio reporting, disciplined controls, and data-driven LP communication without unnecessary structural complexity.
Delaware domicile — a familiar fund jurisdiction with a mature legal and service-provider ecosystem
Lower overhead — simpler formation and ongoing administration than the previously considered Cayman structure
Transparent reporting — API-driven dashboards with current portfolio data and clear operating narratives
Institutional controls — conventional fund administration, audit, custody, and compliance workflows
Scalable operations — a straightforward structure that keeps attention and budget on acquisitions and transformation
Fund Terms
Target fund size (USD)
Fund life + extensions
Fund domicile; selected for simpler, lower-cost administration
Full terms — including fees, carry structure, and liquidity provisions — are available to qualified investors through the LP Portal.
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