Pricing

The price comes out of the build plan

We do not publish rates. Scoping produces a build plan, and the number comes out of that. This page is the part that usually goes unsaid: what makes one agent cost several times what another one did.

Agentic AI does not have a shelf price. The same voice agent can be a small build at one company and a large one at another, and almost none of that gap is the model. It is the state of the systems the agent has to work through, and who has to approve it working. So we scope first and quote second.

The three phases behind the number, Strategize, Engineer, and Operate, are described on the agentic AI service page. A fixed scope, fixed price POC is available, and we quote it after scoping rather than before, because a fixed price against an unmapped stack is a guess wearing a number.

What moves it

Six things move the number. Most of them are decided by your stack and your org chart, not by us.

  1. How many systems the agent has to touch

    Every integration is a cost line. Our booking agent searches live inventory, verifies identity through the client's own lookup, calls a payment API, and fires a confirmation email, all inside one phone call. Systems with clean APIs are quick. Systems that need a service layer written first are not, and that work lands before any agent work starts.

  2. Whether your data is ready to be retrieved

    Agents answer from your data, so that data has to be indexed and reachable at runtime. Retrieval through MCP covers the open ended case. The patterns an agent must never get wrong go straight into its instructions instead, because a confident model skips an optional tool call and invents the rest. Scattered or stale content gets cleaned up first.

  3. Where it runs and who has to review it

    Deployment happens inside infrastructure you already own, which is a solved question and is covered on the agentic AI service page. The schedule risk is elsewhere. Security review, compliance sign off, and procurement set the calendar, and those gates usually move slower than the engineering they are gating. Find out who signs before you budget.

  4. How much evaluation and human review it needs

    The cost here is set by what happens when the agent is unsure. Our booking agent transfers to a person after two unresolved turns, carrying the full conversation and the identified account, so nobody repeats themselves. Deciding that threshold, and building the ops layer that enforces it, is real budget rather than a switch.

  5. Whether we are augmenting a team or building alone

    Working alongside your engineers prices differently than owning the whole build, because a share of the work is transfer rather than construction. Whether your team is carrying part of the build changes both the number and the shape of the engagement, so it is worth settling before scoping.

  6. What the system still needs after it launches

    Launch is a phase, not the finish line. Our nine agent pipeline shipped, then went through four more rounds of performance engineering against real traffic: token cost per request fell 73%, evaluation cycles got about 70% faster, and API quota errors turned into the dominant failure mode at scale. Budget for the rounds after the first one.

You are not buying access to a model. You are buying the engineering that makes one behave the same way on the thousandth call as it did on the first.
 

Be honest early

Three situations where we are the wrong studio, and saying so costs us nothing.

  1. You want a chat widget on a marketing site

    We engineer agents that complete transactions and run workflows inside enterprise systems. A support widget on a brochure site is a real product, and it is not this one. Buying a custom engineering phase to get one will cost more than it returns, and we will tell you that.

  2. Nothing the agent needs has an API yet

    Agents act by calling systems. If the workflow lives in a desktop application, a shared inbox, and a spreadsheet with no service layer underneath, your first project is integration work rather than AI work. That is a legitimate project. It is just not the one you think you are buying.

  3. Nobody will define what a good answer is

    Evaluation needs a definition of correct. If no one in the organization will commit to what the agent should do in the ambiguous cases, there is nothing to score, nothing to catch drift against, and no honest way for us to tell you whether the build worked.

The next step is a conversation,
not a checkout.

Bring the workflow you want automated, the systems it runs through, and the name of whoever has to approve it. Those three things are what turn this page into an actual number.

Book a scoping call