A foundation for AI adoption
We review your systems, data and ways of working, and put in place what has to be there before AI can be used safely across the business.
We build the foundation for AI adoption: middleware and a data lake, modern CI/CD and monitoring, and AI-built prototypes taken to enterprise grade.
For a business that wants to use AI but whose systems, data and release process are not ready for it, or whose team has an AI-built prototype that now has to run at enterprise grade.

Security is designed into all four, not added at the end.
We review your systems, data and ways of working, and put in place what has to be there before AI can be used safely across the business.
Your systems connected through one integration layer, and your data brought together in a data lake that AI tools can draw on.
Automated build, test and release pipelines, with monitoring from partner platforms such as Datadog, supplied and run by us.
Prototypes built with AI coding tools such as Lovable, Bolt or Cursor, rebuilt and hardened into secure systems for real users and real data.
The timeline depends on your systems. We set it after the assessment.
Your systems, data, release process and any AI prototypes: what works, what has to change and what can stay.
Integration, data, pipelines and tools, agreed with you before the build.
Middleware, data lake and release pipelines put in place; prototypes rebuilt and secured.
Launched with monitoring in place, and supported after go-live.
Each of these can be backed with a document on request.
A solutions consultant leads the engagement; the engineers who build the foundation are the ones who support it afterwards.
Tell us what you run and what you need from it. A consultant replies to arrange a 30-minute call.

Engineers who work only on your product, from Singapore or Vietnam.
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We find the repeated work in your business and set up AI to handle it, with a person approving what goes out.
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Prove one AI use on your own data in four weeks, measured with your users.
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