Clean & Ready
The examined software supports the contemplated use and growth thesis across the measured architecture, security, provenance, scalability, and operating condition.
AI Tech Report / 01 · Acquisition economics · For acquirers
We find the money hiding in the code.
The AI Tech Report turns technical diligence into acquisition leverage. In one week, it establishes software condition, sizes repair exposure, and connects material findings to price, terms, risk allocation, and post-close investment.
Designed for $10M–$50M software acquisitions.
DeliveryOne week
Fee$15,000 flat
ClientAcquirer
VerdictClean & Ready / Price for Repair / Not Production-Grade
Delivery begins with complete access to the agreed systems and artifacts.
The asset beneath the revenue
Revenue shows the demand. The code shows what you inherit.
The transaction transfers the architecture, security, dependencies, operating burden, and development history behind the revenue. The report tests those against the acquisition thesis.
- Can the architecture support the growth plan?
- Do security and reliability support the intended use?
- Where do licensing, provenance, or model dependencies create exposure?
- What repair burden transfers at close?
- Does the software support the product's claimed differentiation?
- Where does continuity depend on a small number of people?
The result gives the deal team a technical basis for its negotiating position and post-close plan.
The verdict
A clear verdict. The evidence beneath it.
Price for Repair
The product is viable, with material repair requirements the deal team can reflect in price, terms, risk allocation, and post-close investment.
Not Production-Grade
Material deficiencies in security, reliability, scalability, provenance, maintainability, or governance compromise the asset's ability to perform as underwritten.
Each verdict carries its reasoning, coverage, and unresolved evidence. Material gaps are shown beside the conclusion they affect.
The deliverable
What the acquirer receives
Executive conclusion
A clear condition verdict and the findings that drive it.
Acquisition leverage
Each material finding connected to its likely effect on purchase assumptions, repair exposure, continuity, or future investment. Where the implication is clear, the report identifies the most relevant transaction response.
Repair estimates
Repair effort sized in engineer-weeks using the incumbent team's demonstrated pace, derived from repository and commit history. This helps the buyer account for the work before committing capital. Calendar duration depends on staffing and scheduling.
Full evidence record
Findings linked to affected code, confirmation methods, named reviewers, and coverage limits. The CTO can inspect the basis for the deal team's position, and the operating team can locate the work behind it.
One account of the asset, usable by the investment committee, technical reviewer, and operating team.
Request sample accessEvidence discipline
The finding carries its proof.
Every material finding is reproduced by an independent method and confirmed by a named reviewer. The evidence remains attached to the conclusion: affected code, measured population, source, confirmation, and repair band.
The examination records what was covered and where access or method limits affect the result. Unconfirmed signals remain visible and separate from confirmed exposure.
This makes the report useful at both levels: concise enough for the committee and inspectable by the CTO.
The platform
The software intelligence behind the report
The AI Tech Report is powered by our purpose-built AI analysis platform. It coordinates specialized tools, connects evidence across code and development history, and investigates conflicting results and gaps. Our analysis translates the resulting findings into implications for the acquisition, giving the deal team a coherent account of software condition and repair exposure.
In calibration, repeat examinations returned identical findings when inputs and measurement configuration were held constant.
Analysis is performed against an agreed repository mirror, with access and handling arrangements established at intake.