Engineering at PrismWorks

Credibility you
can look into.

Open-source contributions and proprietary development reflect our hands-on work in agent connectivity, workflow supervision, and verification.

Explore accelerators

Public contributions

Inspect the foundations.

Open source / Rust

Prism MCP Rust SDK

An independently usable Rust implementation of the Model Context Protocol. Explore the source, package, documentation, and published release history.

View the repository

Open source / Agent reliability

UAICP

An open project for agent reliability contracts, policy controls, and evidence schemas. Its code and specifications remain independently usable under their published licenses.

Explore the project

Public package

Published SDK releases

Review versioned packages and release notes to assess fit with your own requirements. Public source makes technical choices available for inspection.

View the Rust package

Proprietary engineering

Reuse what helps.
Evaluate it in context.

Databridle and VybeCode are sources of engineering patterns and capabilities we can assess for suitable engagements.

They are supporting assets within our engineering practice. An engagement does not require purchasing a separate PrismWorks product.

We define which components are appropriate, their current limitations, licensing, and support before proposing their use.

Explore the assets

Engineering across the solution

From reusable components
to accepted capability.

Our public and proprietary engineering supports a broader delivery model across AI, data, platforms, security, and enterprise systems.

Explore the disciplines Technology practices

How we build

Make the behavior
inspectable.

  • Use representative evaluations and explicit acceptance criteria.
  • Keep permissions, approvals, and observed outcomes distinct.
  • Record important implementation decisions and dependencies.
  • Keep failures and uncertainty visible to the responsible team.
  • Use existing customer platforms where they meet the need.

Your next step

Bring one workflow.
Leave with a decision.

Tell us the work, the systems involved, and what success looks like. A fixed-scope assessment gives you a measured baseline, a build, buy, improve, or stop recommendation, and an investment estimate—before you commit to implementation.

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