Design for the real operating environment
Understand data access, permissions, failure modes and the cost of operating the system before rollout. Agree the reviews and recovery path with the people accountable for the work.
MetaSvit is an AI transformation and forward-deployed engineering company based in The Netherlands.
Our senior specialists bring 20+ years of experience in software development, architecture and project management. Individual team members’ experience includes work at Amazon and Miro, and across banking and European enterprises.
We combine that experience with MetaSvit’s production engineering history since 2021. Today, we work alongside your business and technical owners to take AI from an idea to a workflow people use, and help your team build on it.
Amazon, Miro and sector references describe individual team members’ experience, rather than MetaSvit client relationships or endorsements.
Four things we will not trade away.
Understand data access, permissions, failure modes and the cost of operating the system before rollout. Agree the reviews and recovery path with the people accountable for the work.
Define what an agent can do, which decisions need a person, and how to stop or recover the workflow. Use evaluations and operating evidence to decide when more autonomy is useful.
If the data is not ready, the workflow has no owner or the economics do not justify AI, you hear it during discovery. A useful recommendation can be to simplify the process first.
Work in a shared repository, make decisions visible and teach people how to operate what is delivered. A successful engagement leaves your business more capable.
From production engineering to business AI transformation.
Metasvit founded in The Netherlands. First repositories in December.
First client programmes: NFT minting platforms, play-to-earn economies and DeFi derivatives interfaces.
XRP Ledger work: wallet, KYC gateway, Unity WebGL clients with wallet authentication.
DEX routing: a swap front end with our own smart order routing service behind it.
Autonomous agents on the Eliza framework, and the operational tooling around them.
A broader focus on business AI transformation through forward-deployed engineering, integration and team enablement.