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Intelligent systems.
Practical results.

We build and deploy AI for your business: adapt models, create assistants, analyse video and automate processes.

In the cloud, on your servers or in an isolated corporate environment.

From challenge to deployment

We design solutions, connect data and embed AI into your workflows.

AI in your environment

Architecture shaped by your requirements for data, access and operations.

Cloud

Managed services and compute resources with agreed data residency requirements.

Your servers

Deployment on your infrastructure, accounting for hardware, access and maintenance.

Isolated environment

External connections and the update procedure are determined by the project architecture.

Hybrid environment

Local and cloud workloads with agreed boundaries for data exchange.

A clear process. A result you can evaluate.

  1. Understand the task

    Goals, data, constraints and acceptance criteria.

  2. Validate the approach

    A pilot, quality evaluation, errors and limitations.

  3. Deploy

    Integrations, access, documentation and launch.

  4. Develop further

    Monitoring, updates and additional use cases.

Before we start

Can you deploy on our servers?

Yes. We first assess compute resources, availability requirements, model licences and your ability to operate the solution.

Can we keep data away from external AI services?

We can design a local environment. External dependencies, telemetry and updates are reviewed separately and documented in the architecture.

Do we need to train a model from scratch?

A pretrained model, document retrieval or fine-tuning is often sufficient. We test the choice against your data and agreed criteria.

What if our data is not ready?

We start by reviewing sources, quality and access rights, then define what to collect, clean or label before a pilot.

What determines cost and delivery time?

Scope, data readiness, quality requirements, infrastructure and integrations. We estimate after agreeing the boundaries of the work.

Can we start with a small task?

Yes. We choose a limited use case with a measurable outcome, evaluate the approach and then decide on further deployment.

What would you like to solve?

Describe a process or problem. We will discuss an approach, the data needed and the next step.

A formal specification is not required. Tell us what happens today and what you would like to improve.

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