Proprietary accelerators

Useful engineering.
Applied with judgment.

Our internal development gives us reusable ideas and components to evaluate for customer work. Suitability is established for each engagement.

Open-source contributions

Verification & bounded authority

Databridle

Engineering for checking consequential AI work against explicit requirements and independent evidence.

Its development foundation includes controlled workflow tests, source observations, protected checks, replay, and signed evidence. Bounded authority work explores how approved scope relates to actions.

Where it can help

Evaluation design, traceable review, and testing the boundaries of agent actions.

Engagement fit

Development and test-environment capabilities require separate acceptance before customer production use. Components are evaluated against the workflow’s specific requirements.

Agent workspaces & human supervision

VybeCode

A desktop workspace for working with AI agents, project context, and human review.

Its existing foundations include project conversations, model-provider connections, local agent sessions, browser and terminal workspaces, and a place to review agent requests.

Where it can help

Exploring how people organize AI-assisted work, provide context, and stay involved in decisions.

Engagement fit

Broader reusable agent workflows and coordinated execution remain in development. Deployment, compatibility, security review, and support are agreed for the engagement.

How accelerators enter an engagement

The business need
comes first.

  • Assess the workflow and existing tools before selecting a component.
  • Demonstrate the required behavior in the agreed environment.
  • Document limitations, dependencies, licensing, and operating responsibilities.
  • Use an alternative when it is the better fit.

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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