MetaSvit embeds senior engineers with your team to redesign workflows, connect your systems and put AI to work across your business.
Find the workflow where AI can make a measurable difference.
Prototype against real constraints and connect existing systems.
Release with evaluations, permissions and a clear operational owner.
Train your people and extend what works to the next workflow.
Start with the work your people do every day. We bring engineering, architecture and delivery expertise to connect AI to that work, then help your team run it.
Find where AI can improve your business, with a workflow, baseline and delivery plan you can act on.
Senior engineers embedded with your team, accountable for taking a business workflow into production.
Connect agents to your knowledge, tools and workflows, with clear limits on what they can do.
The deployment foundations and team practices that let useful AI systems keep improving.
Forward-deployed engineers work alongside your operators and technical team. They learn the process, build the integrations and stay involved through deployment and adoption.
That includes the details a demo can skip: permissions, exceptions, evaluations, operating costs and the moment a person needs to take over.
Meet the delivery modelIllustrative sequence. The workflow, permissions and approval steps are defined with your team.
Our engineering history spans DeFi, blockchain infrastructure, games and autonomous agents. Explore the production work behind our approach.
Agent runtimes for on-chain execution, with human escalation.
Our current line of work: agents that execute on-chain tasks unattended, paired with notification services that escalate to a human for the decisions that still need one.
Wallet, KYC gateway and game client for an XRP Ledger ecosystem.
A full product surface on the XRP Ledger: a browser wallet, a KYC gateway for compliant onboarding, and a Unity game client with wallet authentication — plus the container and Kubernetes infrastructure the services run on.
A DEX front end with its own smart order routing service.
A swap interface backed by a routing service we built and ran ourselves, so quote quality and uptime were never dependent on a third-party endpoint.
Give the first deployment a clear owner and a measurable goal. Use what works to build the next.
Work with the people doing the job. Map the process, data, systems and exceptions. Agree on a baseline and choose one useful workflow with a business owner.
Workflow and data-access mapEngineers and domain experts work together in a shared delivery loop. Connect the tools you already use, test against representative examples and involve users before the workflow goes live.
Working prototype and reviewed integrationsSet the permissions, human checkpoints, monitoring and recovery path. Release to a defined group, compare results with the baseline and decide what is ready to expand.
Production release and go-live checklistTurn useful integrations and evaluation methods into capabilities your team can maintain. Train users and technical owners, then prioritise the next workflow using what the first deployment taught us.
Team training and operating runbooks