AI Engineering studio · Paris
Most AI projects stop at the demo. We go to production: we diagnose your processes, automate only what actually pays, and integrate the agent into your React / Next.js app — tested, observable, owned by your teams.
No commitment. If AI is not the right answer, we say so.
§01 · Work
You want time back, or you want an agent inside a product already in production. In both cases, we ship what your teams can run — not a throwaway demo.
SMEs
Documents, support, re-keying between tools: your teams lose hours there. We map those flows, quantify the real gain, and automate only what justifies it — with a human still in control.
Enterprises
You have traffic, a team, and a React / Next.js stack. We design the agent layer and deliver it to the same standard as the rest of your code: review, tests, observability.
§02 · What we deliver
§03 · Capabilities
Agent engineering and product integration only. No generalist agency, no decorative chatbot, no disposable demo.
01
Agents that act in your tools — not just answer. LangGraph.js orchestration, tools via MCP, guardrails and human validation at sensitive steps.
02
A chat grounded in your data, wired to your systems, designed for real journeys. Streaming, cited sources, explicit refusal when information is missing.
03
Indexing of your documentation, contracts or catalogue. Hybrid search and evaluated RAG: every answer traces back to the source document.
04
Structured extraction from PDFs, invoices, minutes or client files. Typed output, measured error rate, planned human fallback for edge cases.
05
An agent only has value inside the product. We integrate it into your existing application, without degrading performance or accessibility.
06
European hosting, processing map, minimised data sent to models, auditable logs. GDPR is handled upstream, not as a patch.
§04 · Technical proof
A production agent is an application. It is tested, deployed, monitored — and taken over without us.
01
Unit tests on tools, integration tests on agent graphs, automated evaluations on prompts. A model change is not discovered in production.
02
GitHub Actions pipeline, per-branch previews, progressive deploy and immediate rollback. LLM keys and budgets managed in infrastructure.
03
Strict TypeScript, modules with clear boundaries, ADRs for structural decisions. Review with your developers — or operating docs if you have no tech team.
04
Per-run traces, tool failure rate, p95 latency and cost per conversation: in your dashboards, not ours.
client case — retail enterprise, 60M visits/year
Agent wired to the catalogue via MCP, orchestrated in LangGraph.js, rendered as a stream on the Next.js App Router. Semantic cache, response guardrails, latency budget held at every step.
Delivered with integration tests, prompt evaluations in CI, and a full handover to the internal team at the end of the engagement.
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§05 · Offers
offer 01
A process to automate or a prototype to harden: we say what is worth the cost, and what is missing to go to production.
5 to 8 days
Fixed fee, written readout included
offer 02
From design to a production agent — in your stack, with your security and performance constraints.
4 to 12 weeks
Firm fee after scoping
offer 03
The agent is live, your teams run it: a technical counterpart stays available, without locking you into a black box.
Reserved days / month
3-month commitment, cancellable after
Budget is set after a first conversation — firm quote and service contract, not disguised time-and-materials.
§06 · How a mission runs
Four steps. You approve before the next spend.
You set the context. We say whether the topic is ready, whether a diagnostic comes first — or whether AI is not the right answer.
Scope, measurable criteria, latency and cost budget, test plan. Nothing starts before you approve this document.
A useful increment every two weeks, deployed to pre-production. You use it, you decide, you choose what comes next.
Operating documentation, training for your teams, monthly support if you want it. You are never locked in.
Behind TechMove: a dozen years of web engineering, the latest on production LLM agents — retail, transport, telecoms. As comfortable with a thirty-developer team as with an SME founder who has none.
§07 · Scope
If your need is on this list, we point you elsewhere. A clear no costs less than a mission sold for the wrong reasons.
§08 · Your guarantees
An agent project rarely fails for a technical reason. It fails for lack of frame. Here is ours, written before the signature.
§09 · Frequently asked
The questions that come back. If yours is missing, write to us: we answer in writing before any call.
No. We then deliver operating documentation, train your business owners and offer a monthly retainer for maintenance. That is the most common case in SMEs.
§10 · Contact
Thirty minutes is enough to qualify feasibility, effort and gain. An engineer replies — not a salesperson.
Every request is read and handled by our engineering team.
Thirty minutes to see if we can help — and to say so clearly if we cannot.
