AI agents that take on real work.

We embed engineers with your team, build against your systems, and put one valuable workflow into service in weeks. It runs on infrastructure you control, at a cost you can forecast.

The hard part starts after the demo

A demo can ignore integrations, ownership, and the awkward cases. Daily operations cannot. That is where most of the engineering lives.

Engineering stays close to the workflow

Delivery / 01

Start with live context.

Embedded engineers build against the systems and data the workflow already uses.

Economics / 02

Flat, predictable cost.

A fixed deployment fee plus a flat subscription. No token meter, so finance can budget the bill before an agent runs.

Control / 03

Your infrastructure, your data.

We deploy locally, on infrastructure you control, where compliance and data residency demand it.

One workflow, four stages

Scope the work, build it, shadow the current process, then move it into service.

How we work in detail

What we measure after launch

The measure is agreed before the build. It stays visible once the agent takes live work.

01

Work completed

How much of the agreed workflow the agent finishes.

02

Exceptions

What reaches a person and why.

03

Time and cost

What the new process returns and what it costs to run.

Choose the way in

Start from your unique workflow or configure an agent already proven for a repeatable use case.

Built around your business Custom / Enterprise

Custom Agents for enterprise

We design and build agents around your specific workflows, embedded with your team.

Explore custom agents
Configured to your context Productized / Faster

Plug & Play Agents

Productized agents for proven use cases, customer service, compliance, and token management, configured to your business.

Explore plug & play
Agentica Harness™

The proprietary technology behind efficient, secure, locally hosted agents at a fixed cost.

What is Agentica Harness?

Bring one workflow to an engineer.

In 30 minutes, we will test the fit, the operating boundary, and the practical next step.

Book a call

What teams ask before the first build

The practical details buyers ask before a first deployment.

What is a production-grade AI agent?

An AI agent runs a real business workflow reliably, day after day. It works with your systems and data, and stays monitored and governed.

How fast can you deploy?

Our forward-deployed engineers aim to ship a working agent within the first weeks of a scoped pilot, then move it to production. Exact timing depends on the workflow and your data.

How much does it cost?

A fixed deployment fee plus a flat subscription, no token metering, so the cost is predictable before any agent runs. Book a call for a quote scoped to your workflow.

Do the agents run on our servers?

Yes, by default where it matters. We deploy locally, on your own infrastructure or a dedicated environment we set up and run for you, so your data stays sovereign and inside your compliance perimeter, which matters for regulated and data-sensitive work.

What’s the difference between Custom and Plug & Play agents?

Custom agents are built around your specific workflows with engineers embedded in your team. Plug & Play agents are productized solutions for proven use cases, configured to your business and deployed faster.

Who owns the agent and the IP?

You own your deployment and your data. Agentica retains the rights to the reusable underlying components, which is what lets each future build go faster and cheaper.