AI development services, end to end

We build, integrate and run your AI. Inside your perimeter.

Your code. Your data. Your region. Custom AI applications, LLM integration, managed private inference and Conect AI Dev — one senior team from proof of concept to production, under your compliance.

FOUR PRODUCTS, ONE PERIMETER

Four ways to get AI into production. One team, one perimeter.

Start with the one that matches where you are. Every product runs inside your tools and your legal region, with a named senior engineer accountable for what ships — and everything we build is yours.

Engineer building an AI application at her workstation01Proof of concept · 3 weeks → MVP · 6 weeks

AI application development

We build your AI application from proof of concept to production: one use case, your real data and a written success criterion in three weeks, and the same team takes it to an MVP in production by week six.

You get: the code, the prompts, the evals and the pipelines, in your repositories.

Start with a 3-week proof of concept →
Laptop screen with the code of an LLM integration02First 30 days · engineer embedded

LLM integration in your existing product

RAG, agents and evals inside the product you already ship. A senior engineer joins your team in your tools, and the first 30 days end with the feature in production and an evaluation suite that runs as your regression tests.

You get: a documented integration your team owns and can keep evolving.

Integrate a model into your product →
Cooling fans of servers inside a data centre03Deployed in 24 h · run continuously

AI infrastructure & private inference, managed

Frontier or open-weights models deployed in your legal region on your keys — EU, US or APAC — under your compliance, with guardrails, no-training clauses and the runbooks to operate it.

You get: inference you own, on audited infrastructure, with nobody else in your data path.

Run inference in your region →
Monitor showing code under review04Installed in 24 hours

Conect AI Dev — our internal development tool

The tool our own engineers use, installed inside your trackers, repositories and pipelines: tickets in, reviewed pull requests out, every change approved by a person.

You get: the tool, its integrations and its documentation, running in your environment when we leave.

Put Conect AI Dev inside your team →

Not sure which one fits? A CTO tells you in a 30-minute call. Talk to a CTO →

No product on this page carries a price, on purpose: the scope decides the number, and every number comes from the same published rate card, whichever product you start with. See the rate card →

FULL COVERAGE

Everything between the idea and production. Nothing left to a second vendor.

Most AI vendors build the application and stop. We cover the eight layers a production AI system needs, so you never inherit the gap between a development shop, a cloud provider and a compliance consultant.

  1. 01

    Build

    Custom AI applications and proofs of concept, from your real data to a measurable result.

  2. 02

    Integrate

    LLM features, RAG and agents inside the product and the systems you already run.

  3. 03

    Deploy inference and infrastructure in compliance

    Models running in your legal region, on your keys, on SOC-audited cloud, with GDPR and EU AI Act readiness.

  4. 04

    Secure the data

    Nothing leaves your perimeter. No-training and retention terms are written into the contract, not just the FAQ.

  5. 05

    Protect your intellectual property

    Your code and data are obfuscated before any external model sees them, and every artifact is expressly assigned to you. Nothing built for you is reused.

  6. 06

    Safeguards, guardrails and evals

    Input and output guardrails, a person approving every release, and an evaluation suite that runs as your regression tests.

  7. 07

    Conect AI Dev inside your tools

    Our internal development tool installed in your stack in 24 hours, so delivery keeps its speed after the first sprint.

  8. 08

    Operate and hand over

    We run it, document it and leave it running in your environment — tool, integrations and runbooks included.

DATA & INFERENCE SOVEREIGNTY

Total privacy. Enterprise Intellectual Property protection.

Every kind of model, governed: the models we deploy — commercial frontier or open-weights — run under your corporate compliance and privacy policies, in your legal region, on audited cloud infrastructure. None is ever trained on your data, and your intellectual property is protected end to end.

No storage on our side. No training on your code. No third party in your data path.

Conectia AI development: your tools, Conect AI Dev, supervision by senior engineers and in-region AI inference, all inside your cloud perimeter in your legal region — EU, US or APAC. Nothing crosses the perimeter.
European Union

Inference in EU regions

Your data is governed by European law end to end: GDPR, EU AI Act readiness, and SOC 1 / SOC 2-audited cloud infrastructure inside the EU perimeter.

United States

Inference localised in the US

For US clients, models run in US regions on SOC-audited infrastructure. Residency and jurisdiction stay American — nothing crosses the Atlantic.

Asia-Pacific

Inference localised in APAC

For APAC clients, inference runs in APAC regions. Latency, residency and regulatory scope stay in your market.

Everything we build is yours

The code, the pipelines, the prompts, the platform itself — expressly assigned to you, artifact by artifact. Nothing we build for you is ever reused for another client. And when the engagement ends, it all keeps running without us.

24 HOURS · CONECT AI DEV

Conect AI Dev: installed in a day.

Engineer connecting Conect AI Dev inside a data centre
1

Hours 0–4 · Inventory and access

Your repositories, conventions and environments. Access is least-privilege, system by system, and your CTO reviews every credential.

2

Hours 4–12 · Joined to your stack

Conect AI Dev connects to your tracker, your docs, your repositories and your pipelines — following your conventions, not ours.

3

Hours 12–20 · Replay on closed tickets

It re-runs work you already shipped, and we compare its output with what your team actually did. You see the quality before anything goes live.

4

Hours 20–24 · First live ticket

One real ticket, full supervision, your engineers approving alongside ours.

PLUGS INTO YOUR STACK

Your team keeps its tools. Conect AI Dev joins them.

Conect AI Dev works inside the systems your company already runs — reading tickets, keeping documentation current, opening pull requests and accelerating development work within compliance.

24hours to install Conect AI Dev
100%of changes approved by a person
0models trained on your data
3legal regions: EU · US · APAC

One governed connection per system, least-privilege access, every credential reviewed by your CTO.

CASE STUDY

A squad embedded in a sovereign identity protocol — renewed at twice the original budget.

MintID case study: an embedded engineering squad
MintID · digital identity protocol

Three engineers and a delivery manager embedded since March 2026, from the protocol core to three verifier SDKs, delivered with zero bugs. A €200,000 engagement, then a new €400,000 engagement, signed.

Read the case study →
FAQ

Frequently asked questions

  • Does anyone train models on our code or data?No — not us, and not the model providers we deploy. The no-training guarantee is contractual and architectural: models run in your region and your data never enters anyone's training pipeline.
  • What leaves our environment?Nothing. Code, tickets, documentation, prompts and model outputs stay inside your perimeter, and inference runs in your legal region — EU, US or APAC.
  • What is retained, and where?Everything Conect AI Dev and the team produce — code, decisions, logs — lives in your repositories and your tools, under your retention policies. We keep nothing.
  • Who owns what Conect AI Dev and the team produce?You do. Code, pipelines, prompts and Conect AI Dev itself are expressly assigned to you, and nothing built for you is reused for another client.
  • Who is accountable for what ships?A named senior engineer. Every release is approved by a person, and every change traces back to a ticket, a plan and an approval.
  • What happens when the engagement ends?Everything keeps running. Conect AI Dev, integrations and documentation stay in your environment, operated by your team.
  • How should we compare vendors?Choosing an AI development partner is a procurement decision, not a demo. These five questions separate a system you own from a dependency you rent — take them to every vendor, including us.
  • Where does inference run, and on whose keys?This decides who can read your code and who holds the audit trail. If inference runs in the vendor's cloud on the vendor's keys, your data has a second landlord and your compliance team inherits a contract to police. In your region, on your keys, the guarantee is the architecture itself.
  • Do you train on our data — and where is that written?Every vendor says no on the website; fewer will sign it. Ask for the no-training clause in the contract, with the model providers' retention terms attached. A promise that only lives in the FAQ is not a promise.
  • Who approves what ships?Ask to see the delivery workflow with the humans drawn in: who accepts the plan, who merges, who deploys. A diagram with no people in it means production changes nobody signed — autonomy without named approvers is risk, not speed.
  • Who owns the system in six months?Not just the code: the pipelines, the prompts, the integrations, the runbooks. If only the vendor can operate or change it, you bought a dependency with your name on the repository. Ownership means your team can run it without asking permission.
  • What happens when you leave?The honest test of any AI vendor pitch. If delivery stops when the vendor's people leave, it was a subscription with services attached. Everything should keep running in your environment — and you should be able to evolve it without them.
A team weighing an AI partner decision around the table

Nothing on this page is billed separately: the team, the infrastructure work and Conect AI Dev are all invoiced at our published rates, and the per-ticket budget is the number your fractional CTO watches most closely. See the rate card →

WRITE TO US

Prefer to write first? Tell us what you want to build.

Three fields. A CTO reads it and replies within 24 hours with a first take on scope, timing and the team it needs — in English or Spanish, no salespeople in between.

A CTO replies with a team and a price within one business day.

Message us on WhatsAppBusiness hours, CET. Outside them we reply the next morning.

A CTO replies in under 24 hours. No salespeople in between.

Your AI — built, integrated and run inside your perimeter.

Tell us the use case in three fields or on WhatsApp. A CTO replies within one business day with the team it needs and a price.