An operator-led review of a target's systems, security, vendors and team, so investors know what they are really buying.
Talk to usHow the platform is built, hosted and integrated, and whether it can support the growth plan.
Access controls, data handling, security practices and exposure to common risks.
Key software and service vendors, contract dependencies and the true cost of running the stack.
The people, practices and documentation that keep the technology running.
A company's technology can be its biggest asset or its most expensive surprise after close. Shiptronix reviews technology the way someone who has to run it would: how it is built, how it is maintained, what it costs, where the risks are, and what it will take to scale.
We translate technical findings into clear business terms for the deal team, with a view on risk, required investment and upside.
Not sure where to start? Tell us what is slowing you down and we will tell you honestly whether Technology Due Diligence is the right fit.
Start a conversationTimelines are set with the deal team, and we regularly work within compressed deal schedules.
Yes. All engagements are confidential and handled under appropriate agreements.
Software, technology-enabled services, e-commerce and consumer brands, logistics and related businesses.
Yes. Diligence findings often lead into value creation work through our strategy, AI and managed services.
Systems and architecture, code quality and technical debt, infrastructure and cloud costs, cybersecurity, data and compliance, key vendors and licenses, and the team that runs it all.
Heavy dependence on one or two people, undocumented systems, outdated or unsupported software, weak security controls, and vendor contracts that limit how the business can grow.
Most reviews take two to four weeks depending on the size of the target and access to people and documents. We can work faster when a deal requires it.
Yes. Sellers can use the same review to find and fix issues before buyers do.
Related guides: How Private Equity Firms Are Using AI Across the Deal Cycle