Reframe Harness · Product

The secure, private agentic AI harness.

All the capabilities of systems like Claude Code — running any model, inside your environment, under your organization's controls. Give your teams real agentic power without handing your data, your code, or your governance to anyone else.

Why Harness

Agentic AI is the new advantage. Ungoverned, it's the new liability.

Coding agents and autonomous assistants can read, write, run, and ship work at machine speed. For a regulated enterprise, that power is only useful if it runs under your controls. Harness gives you the capability and the control — in one place.

Power

Claude Code-class capability

Agents that plan, edit code, call tools, run commands, and complete multi-step work — not just chat.

Privacy

Runs in your environment

Deploy in your VPC, cloud, or on-prem. Your data and code never leave your boundary.

Control

Your policy, your audit

Every action is scoped, logged, and governed to the standard your CISO and regulators require.

Capabilities

Everything a modern agent can do — harnessed.

Agentic

Plan & execute

Multi-step reasoning, code editing, command execution, and task completion across your repos and systems.

Any model

Model-agnostic

Anthropic, OpenAI, open-source, or your own fine-tunes — route per task, swap freely, never lock in.

Tools

Tools & MCP

Connect internal tools, data, and MCP servers so agents act on your real systems — safely scoped.

Orchestration

Sub-agents & workflows

Fan out work to specialized sub-agents and run repeatable, governed automations.

Context

Memory & retrieval

Grounded in your knowledge with access-aware retrieval, so agents only see what each user may.

Interfaces

CLI, API & console

Meet engineers in the terminal and business users in a governed console — one harness behind both.

Under your controls

The control plane regulated enterprises require.

Permissions

Scoped, least-privilege

Define exactly what each agent and user may read, write, run, and reach. Nothing by default.

Guardrails

Policy & DLP

Redaction, data-classification, and policy checks on every prompt, tool call, and output.

Identity

SSO & secrets

Enterprise identity, role-based access, and customer-managed keys — you hold the keys.

Audit

Immutable evidence

Every action traced and logged for security, compliance, and board-ready reporting.

Residency

Data boundaries

Keep regulated data in-region and out of any model you haven't approved.

Standards

Mapped to frameworks

Controls aligned to SOC 2, ISO 27001, GDPR, NIST AI RMF, and the EU AI Act.

How it works

One harness between your models and your work.

01 · Connect

Models

Register any model — hosted or private — behind one gateway.

02 · Define

Controls

Set policy, permissions, identity, and data boundaries.

03 · Grant

Tools

Expose scoped tools, MCP, and data the agents may use.

04 · Run

Agents

Engineers and teams run agentic work via CLI, API, or console.

05 · Prove

Audit

Every action is logged into immutable, exportable evidence.

(Studio) — New York

Bring agentic AI in-house — safely.

Request a demo →