Software M&A · Entry and exit
We provide software intelligence for software M&A, combining a purpose-built AI analysis platform with the judgment of experienced investors and operators. We turn technical evidence into clear implications for price, risk, and investment—before you buy and while you own.
Two engagements. One platform.
AI Tech Report
Establish software condition and repair exposure before committing capital. Material findings show where the evidence supports changes to price, terms, risk allocation, or post-close investment. Repair estimates reflect the incumbent team's demonstrated pace, so you can account for the work the buyer will inherit.
AI Re-underwriting
Assess whether advancing AI models and new entrants threaten the software's position, and what a credible response would require. Receive an evidence-backed assessment of three paths: defend, reengineer and reprice, or exit while options remain.
Economic consequence
Before an acquisition, a finding can change purchase assumptions, repair exposure, risk allocation, or the post-close investment plan. During ownership, the examination establishes technical condition and supports a judgment about what to defend, reengineer, or bring to market.
Every material finding carries its evidence and confirmation. Repair estimates reflect the work required at the incumbent team's demonstrated pace. Coverage and unresolved evidence remain visible beside the conclusions.
The investment committee receives a clear account. The technical reviewer can inspect the basis for it.
Samples are shared through an invitation-only proof room.
Request sample accessThe platform
Developed by Big Lever Ventures, our AI platform coordinates specialized software-analysis tools through an execution and analysis system built in-house. It examines source code, dependencies, configuration, and development history together, connecting evidence across architecture, security, technical debt, test quality, scalability constraints, licensing, AI-model dependence, and key-person concentration. Buyers and owners can see where technical weaknesses threaten the investment thesis and where further work is required.
The platform reconciles overlapping results, investigates contradictions, and traces gaps in the evidence to establish which findings deserve attention. In the largest calibration case, 199,359 raw signals became 27 findings linked to supporting evidence—approximately 7,400 signals examined for each finding retained. The deal team receives a concise set of issues to evaluate, with the technical evidence available for scrutiny.
Every material finding is reproduced by an independent method and confirmed by a named reviewer before delivery. In calibration, repeat examinations returned identical findings when inputs and measurement configuration were held constant.
raw signals examined across the corpus.
findings, each connected to its supporting evidence — one for every 1,756 raw signals.
findings from 199,359 signals — 7,384 to 1.
Contact
Tell us about the asset and the decision ahead.
“Give me a lever long enough and a fulcrum on which to place it, and I shall move the world.”
— Archimedes
