Skip to main contentGIS 2026 - Hong Kong · Hunan Day Industrial Innovation SpeakerClick here

    Solutions · Private Equity

    Value creation that does not wait for the next board cycle.

    NexDiscovery is a Proactive Intelligence platform for PE-backed companies and the operating partners behind them, built on autonomous cross-system discovery. It connects to a portfolio company's existing systems, searches across CRM, billing, and finance at once, and surfaces the revenue, margin, and cost-to-serve signals that drive value creation, in 30 days, with no data leaving the company's environment.

    No financial commitment at this stage

    Runs entirely inside your environment. Nothing leaves.

    The problem

    Value-creation theses are right. The evidence is just buried.

    The thesis outpaces the data

    Operating partners know where value should be, but confirming it means correlating CRM, billing, and finance across a company whose data was never built to connect.

    Diligence ages fast

    The diligence model was a snapshot. Twelve months in, the live signals (expansion, churn, margin drift) are spread across systems no one has time to reconcile.

    Every portco is different

    Each company has its own stack. A repeatable way to find value across all of them, without a custom data project per company, has not existed.

    What it finds

    The signals behind the value-creation plan.

    Hidden revenue and cross-sell

    Under-monetized accounts that behave like your best multi-product customers.

    Pipeline leakage

    Coverage misaligned with account value, and deals that stall in the seams.

    Margin leakage

    Profit lost to pricing, friction, and data errors across finance and operations.

    Cost-to-serve outliers

    Customers and segments that consume disproportionate effort for the revenue they return.

    Expansion and LTV signals

    Where lifetime value is understated and growth is addressable with the current team.

    Operating friction

    Process delays and rework that quietly erode portfolio-company margin.

    Terms used on this page: Action Pack. See the full glossary.

    Proof

    Value identified inside portfolio-company data.

    Each figure was identified inside a company's own environment and traces to specific records the team could verify. Figures are opportunities identified, not guaranteed outcomes.

    B2B SaaS Portco · Pipeline Leakage
    $8.3M

    Understaffed pipeline identified across CRM, sales activity, and account-value data, inside their environment.

    Revenue leader, portfolio company
    Growth Portco · Hidden Revenue
    $4.7M

    Cross-sell identified across the customer base, in 30 days, inside their environment.

    Operating partner
    B2B SaaS Portco · Lifetime Value
    $17.2M

    Understated LTV identified by correlating retention, product usage, and billing.

    Finance leader, portfolio company

    The angle that matters most

    Repeatable across the portfolio, with nothing leaving each company.

    Because the engine runs inside each portfolio company's environment with read-only access and no external models, it deploys the same way across very different stacks, with no data-egress event and no security review to clear at every company. One discovery motion, applied portfolio-wide.

    See the security model

    FAQ

    Questions, answered.

    Do you need a standardized data model across the portfolio?
    No. The entity-resolution layer handles each company's own keys and systems, so discovery runs without a portfolio-wide data project. You start with the extracts or read-only access each company already trusts.
    Can operating partners see findings across companies?
    Findings are produced inside each company's environment and delivered as Action Packs. Cross-portfolio patterns can be summarized at the operating-partner level without moving any company's underlying data.
    How fast is the first finding in a new portco?
    The 30-Day Discovery Sprint returns source-backed findings in four weeks, then continues as a recurring layer as new data arrives.

    Find the value the thesis assumed was there.

    No financial commitment at this stage

    Runs entirely inside your environment. Nothing leaves.