For investors & acquirers

Don't fund a demo that won't survive production.

AI tools let small teams build impressive products very quickly. Find out whether there's an engineering foundation under the pitch before you write the cheque.

Reviewed personally by a software developer with 25 years' enterprise experience and 10 years of cloud architecture for local and international corporate clients.

Risk HeatmapExample · Due Diligence
Critical4
High7
Medium5
Low2

What we verify

The questions a pitch deck doesn't answer

Scalability

Will the architecture handle 10× the users, or does growth mean a rewrite?

Technical debt

How much of the codebase is generated, unreviewed and untested, and what will it cost to fix?

Team dependency

Is critical knowledge held by one founder or one AI chat history? Could a new engineer take over?

Vendor risk

How exposed is the product to a single AI provider, platform or hosting vendor?

Unit cost

What do cloud and AI API costs look like per customer, and do the margins hold at scale?

Security posture

Are customer data, credentials and access controls handled to a standard you can defend?

Scoped to your deal

Technical Due Diligence

from R48,000

A full Production Readiness Review of the target, plus scalability, technical debt, maintainability, team dependency, vendor risk and unit-cost analysis.

  • Logical & physical architecture
  • Data flow & system context diagrams
  • Authentication, authorisation & secrets review
  • Infrastructure, logging & monitoring review

Priced on scope: number of systems, codebase size and deal timeline. We agree a fixed fee before any access is granted. Prices in ZAR; Bronkode is not currently VAT-registered.

Request a due diligence call
For the investment committee

Executive summary

A short, non-technical view of risk, readiness and what it will cost to fix.

For engineers

Technical report

Detailed findings with evidence and remediation guidance the founding team can act on.

At a glance

Risk heatmap

Findings grouped by severity across all six pillars of our framework.

Built for

Investors, acquirers & scale-ups

Angels, VCs, incubators, accelerators and corporate acquirers evaluating AI-first products.

Timing

Matches deal timelines

Typically around 10 business days from access. Tell us your deadline and we'll confirm the timeline before we start.

Discretion

Confidential by default

We're happy to sign an NDA with you and the target company before we get repository access.

Evaluating an AI-first startup?

Book a call to scope the due diligence and agree a timeline that fits your deal.