Fast on one laptop, slow across the team
Agents speed up individual engineers while review queues grow and context gets lost at every handoff. The harness fixes the handoffs.
For engineering leaders
Make your team's coding agents ship work you can merge and maintain.
Your engineers already use coding agents. We work inside your engineering workflow to ship features, strengthen verification and improve how the team uses coding agents: repository context, permissions, verification gates and review flow.
What we solve
Where coding-agent speed gets lost.
Changes nobody can explain later
Every agent change arrives with its task, its evidence and the decision behind it, so the next engineer can maintain it.
A workflow that keeps up with the models
Models and tools change monthly, some of them under the same name. Harness Watch keeps your harness, permissions and gates current as they do.
Proof
Work we have already done.
We built the agent platform behind a product used by large enterprises and a unicorn startup. We bring that engineering practice to your team's harness. Our method is public, with a worked example you can run yourself.
AI-Native SaaS / selected work
Agent Platform Engineering for Enterprise AI
- The problem
- Give AI agents a way to find, create and update a content platform's structured information.
- What we built
- Backend AI with Anthropic, OpenAI and Google models, 50+ MCP tools, content APIs and semantic search.
- What it made possible
- Agents that find information, act on it and power interactive experiences inside compatible AI clients, on a platform used by large enterprises and a unicorn startup.
- 50+
- MCP tools built
Backend AI, API and infrastructure engineering, from architecture through launch.
Read case studyAgent platform engineering
- Backend AIAnthropic, OpenAI and Google
- 50+ MCP tools builtDiscover, create and update content
- APIs and searchStructured content and semantic retrieval
- Platform infrastructureSupports agents and MCP Apps
How we engage
Forward-deployed engineers, on terms you can plan around.
Start with a Harness Review, ship real features through your harness with a forward-deployed team, then keep it current with Harness Watch.
Harness Review
Two to three weeks · fixed price
An AI agent audit across every layer: where the time and money go, a scorecard on five measures and a prioritized fix plan.
You get: Harness Map, Scorecard, model and settings comparison, control findings, fix plan, and the test runner in your repository.
Explore this optionForward-deployed build
Initial three-month engagement
Forward-deployed engineers embed with your team and build the agent platform, AI product or the systems behind it, measured with the Harness Method from the first week. Scope, milestones and acceptance criteria are agreed before work starts.
You get: Working software, a scorecard on quality, speed, cost, control and drift, the harness your engineers keep using, release gates, runbooks, and a handoff your team runs with.
Explore this optionForward-deployed operations
Monthly retainer, with Harness Watch
After launch, we stay on to run Harness Watch: a verdict on each relevant model release, a monthly scorecard, incident response and ongoing improvements.
You get: Release verdicts, a monthly scorecard, a quarterly autonomy review, incident response, improvements and a leadership readout.
How Harness Watch worksOr start where your agents are today
Build
Building something new
Add an AI feature, connect it to your systems, or build an agent workflow, measured from the first week.
Forward-deployed build · initial three-month engagementEvaluate
Agents already live
Find where the time and money go, score the agent on five measures and fix what matters first.
Harness Review · two to three weeksRun
Running and improving agents
Monitor agent behavior, respond to incidents, improve the system and evaluate model changes against your own cases.
Forward-deployed operations with Harness Watch · monthlyDesign
Not sure an agent fits yet
Choose the workflow worth automating, compare the ways to do it and prove a first version.
Harness Design · three weeksGo deeper
Read how we approach it.
Start a conversation
What are you building—or deciding?
Tell us what you’re building, what is getting in the way, and the outcome you need.