Infrastructure for AI service agencies

Infrastructure for AI-powered expertise.

Agencies and consultants use GaugeWright to package an expert method as an agent, govern how it runs, and deliver it inside a client's private environment — so neither the method nor the data ever leaks.

Runs on the client's boundary Read-only, never exported Complete, replayable audit trail Fail-closed by design Apache-2.0 core

Package. Govern. Deliver.

The three things an agency needs to turn a repeatable method into a product it can sell — without handing over the recipe.

Package

Turn an expert method into a reusable agent — prompts, tools, and policy — versioned and shippable like software.

Govern

Deterministic rules, capability limits, and a complete, replayable record of every action. Fail-closed by default.

Deliver

Run inside the client's boundary, admitted by handle, read-only. The method stays yours; the data stays theirs.

Products

The tools that make up the platform.

GaugeBench

Available

The agentic workbench. Build, run, and deploy expert agents against private context — with the boundary and audit trail built in. Free desktop builds for macOS, Windows, and Linux.

WhippleScript

Pre-1.0

A coordination language for multi-agent work. Declare typed facts, agents, and rules; the runtime turns them into durable, inspectable effects — the process, written down.

The boundary is the product

Controlled by design.

Every engagement runs fail-closed. The expert's agent is admitted by handle, sees only what it's granted, and cannot export. Every read, decision, and effect is recorded as a replayable event — so both sides can trust the work without trusting each other.

How the boundary works →

Two parties, one controlled channel.

The expert keeps the method — it never leaves their agent.

The client keeps the data — it never leaves their boundary.

The record keeps both honest — every action, on the log.

Put an expert to work — safely.

Start free with the desktop workbench, or tell us what you're building.