Tech Due Diligence
We give you an independent view of a target’s software, data, systems and architecture, and what they mean for the investment.
Do you recognise this?
- What am I really buying, and what will it cost to fix and to run?
- Will this platform scale with the growth in the plan?
- Is it secure, and is the data safe?
- Is it ready for AI, or will that need rebuilding?
- Was it built in a hurry, or by AI, and what does that mean for risk?
- Are the AI claims real?
What we assess: eight areas, one report
- Software qualityHow well the software is written and tested, and how hard it will be to change.
- ArchitectureWhether the design fits the business plan and where it will strain.
- Data and systemsWhere data lives, how it moves and how well it is protected.
- Safety and securityExposure to breaches, outages and compliance failures.
- Scale-upWhat it will take for the platform to handle the growth the plan assumes.
- AI readinessWhether the platform and its data can support AI, and at what cost.
- Where AI belongsWhere the target uses AI, whether it belongs there, and the places it should stay out, such as money, tax, payroll and regulated decisions.
- What it really costs to runThe total cost of ownership, including AI usage costs such as tokens, and what it will take to fix and run the platform after you invest.
How it runs
- ScopeWe agree the questions that matter for this deal.
- ReviewSenior engineers examine the software, data and systems, and talk with the target’s team.
- ReportA findings and risk report, with priorities and the likely cost of fixing what matters.
Thirty minutes with us, about your situation. If we’re not the right fit, we’ll say so.