What does Harness Systems build?
We build production AI systems: evaluation pipelines, workflow automation, infrastructure, retrieval, integrations, observability, release gates, and handoff materials your team can operate.
FAQ
Frequently asked questions
Practical answers about how we work, what we build, and how production AI engagements usually run.
Do we need an existing AI product before reaching out?
No. We can start from a prototype, an internal workflow, or a business problem that needs an engineered AI system. The first step is usually mapping constraints and failure modes.
How long does a typical engagement take?
Most focused builds run in weeks, not quarters. The exact scope depends on integrations, data access, review loops, and how much production infrastructure already exists.
What do we receive at handoff?
You keep the code, evaluation assets, runbooks, deployment notes, and operating model. We design the work so your engineers can inspect, extend, and own it.
Can you work with our existing stack?
Yes. We prefer to meet your team where it already operates, then add the harnesses, queues, observability, and integration points needed for production use.
Which AI providers or models do you use?
We choose models based on reliability, latency, cost, security, and fit for the task. The system should make provider changes boring rather than existential.
How do you handle security and production data?
We keep data paths explicit, minimize exposure, add human review where needed, and avoid copying sensitive data into tools that should not hold it. Engagement-specific controls are defined up front.
Do you do advisory-only work?
Our core offer is implementation. We can include strategy, architecture, and technical review, but the useful outcome is a working system or a clear engineering path to one.
Contact
Still weighing the shape of the work?
Send us the system you are trying to ship. We will reply with the next useful technical question.