Private Equity

Prepare diligence findings your deal team can review.

We build custom AI workflows for data-room review, diligence preparation, investment research, and portfolio reporting. The system is shaped around your playbooks, approved sources, output formats, and reviewer responsibilities.

Map a Diligence Bottleneck See our work

Start with the work that needs to improve. We learn where your team is losing time, margin, confidence, or speed, then build an AI product or system around the way your business actually operates.

Where AI can help

The work slowing your team down.

Deal teams need to connect documents, financial schedules, expert input, and investment questions under time pressure. A useful system prepares that information for review and makes gaps and conflicting support visible.

Data-room files take time to turn into findings

What you seeAssociates search through CIMs, contracts, policies, QofE schedules, board packs, and management files while the deal clock keeps moving.

What it costsSenior deal team time is spent rechecking source material instead of debating what matters for valuation, risk, and post-close action.

What could changeCreate a workflow that classifies files, extracts draft issue lists, links supported findings to evidence, and routes missing or uncertain support to human review.

Answers lack the deal context reviewers need

What you seePublic-model research can miss private market context, contract norms, channel economics, margin structures, or expert nuance that actually drives the investment view.

What it costsThe team gets polished summaries but still has to rebuild the real diligence layer before IC.

What could changeGround the workflow in the firm's playbooks, proprietary notes, expert calls, uploaded data-room material, and approved research sources.

Value creation starts too late

What you seeOperational improvement ideas sit in diligence notes, spreadsheets, and partner memory instead of becoming a trackable Day 1 workplan.

What it costsPortfolio teams may have to reconstruct the reasoning and supporting material before they can act.

What could changeTurn diligence findings into structured operating hypotheses, owner-ready workstreams, and evidence trails that portfolio teams can use after close.

What we can build

Turn the problem into a system your team can use.

Data-room review that preserves the investment lens

The goal is not to summarize every document. The goal is to surface the clauses, numbers, missing files, contradictions, obligations, and risk signals your team actually uses to decide whether to proceed.

CIM, contract, and LPA parsing into reviewable schemas

We parse CIMs, LPAs, contracts, financial schedules, policies, and management files into structured outputs that analysts can review, filter, compare, and export into the formats they already use.

Firm-specific red-flag playbooks

Instead of open-ended search, we codify your firm's risk lens: customer concentration, change-of-control clauses, indemnities, renewal terms, revenue quality, compliance gaps, and industry-specific operating risks.

Confidential deal infrastructure

Deal data is sensitive. We design around the client's approved deployment path, including tenant isolation, private cloud, VPC, or self-hosted inference where required. Target company data stays inside the agreed boundary.

FAQ

Frequently asked questions

Can AI replace diligence analysts?

AI can help prepare extraction, comparison, and source-linked drafts. Analysts still check coverage, verify findings, assess materiality, and make investment recommendations.

Technology partnership

Build with an OpenAI Select Partner.

We design and integrate OpenAI services within your approved architecture.

See how we approach security

Have something in mind?

Is this slowing your team down?

Tell us how the work happens today, where it breaks down, and what you want to improve. We will help you decide whether a custom AI system is the right answer.

Discuss your business challenge Review our security approach