Artificial intelligence

We build chatbots, integrate model APIs and run models on your own infrastructure — with retrieval, evaluation, access controls and training for the people using them.

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An example architectureAI

InterfaceReact
OrchestrationLangChain
Local modelOllama

RetrievalQdrant
EvaluationPython

A possible arrangement, not a prescribed stack. Boundaries and tools are chosen for the project.

Designed for the conditions.

Agree the scope around your users, current systems and the constraints that matter.

Chatbot integration
AI training
Local AI (on-premise)
LLM integration
Retrieval augmented generation
Embeddings and vector search
AI APIs
Evaluation and automation

What you get

Concrete outputs that help your team understand, maintain and extend the system.

Model selection and cost analysis
Retrieval and evaluation pipeline
Guardrails and access controls
Team training materials

Approach

Clear steps, visible progress.

Frame the use case
Decide where a model genuinely helps the workflow.
Ground in data
Connect retrieval, permissions and business context.
Evaluate continuously
Measure answer quality before and after release.
Operate with controls
Guardrails, human review and cost visibility.

Technology examples

Examples, not a fixed stack — chosen per project, with the team that will own it.

Explore this layer

Model APIs
Vector search
Embeddings
Data pipelines
TypeScript

Explore an interactive engineering example

Explore the implementation.

A self-contained example. Edit the code and run it in an isolated preview.

playground/artificial-intelligence.html

<h2>deploy · main → production</h2>
<p class="hint">The pipeline streams its own logs as it runs — this whole window is one deploy, from commit to edge.</p>
<div class="grid">
  <div class="stages">
    <div class="stage" id="st0"><i></i><span>BUILD</span><small></small></div>
    <div class="stage" id="st1"><i></i><span>TEST</span><small></small></div>
    <div class="stage" id="st2"><i></i><span>SHIP</span><small></small></div>
  </div>
  <div class="term"><pre id="log"><span class="cursor"></span></pre></div>
</div>
<div class="tiles">
  <div><b>12</b><small>edge regions</small></div>
  <div><b>1.2k</b><small>req / s</small></div>
  <div><b>84 ms</b><small>p95 latency</small></div>
  <div><b id="runs">1</b><small>deploys today</small></div>
</div>
<p id="status" class="idle">waiting for push…</p>
<button id="again" class="ghost">Deploy again</button>

⎇ main0 errors · 0 warningsLn 1, Col 1 · Spaces: 2 · UTF-8 · HTML · ○ idle

sandbox.nordiso.local/artificial-intelligence

sandbox idle — boots when this section scrolls into view

Let’s discuss what you need to build.

Start a project

<h2>deploy · main → production</h2> <p class="hint">The pipeline streams its own logs as it runs — this whole window is one deploy, from commit to edge.</p> <div class="grid"> <div class="stages"> <div class="stage" id="st0"><i></i><span>BUILD</span><small></small></div> <div class="stage" id="st1"><i></i><span>TEST</span><small></small></div> <div class="stage" id="st2"><i></i><span>SHIP</span><small></small></div> </div> <div class="term"><pre id="log"><span class="cursor"></span></pre></div> </div> <div class="tiles"> <div><b>12</b><small>edge regions</small></div> <div><b>1.2k</b><small>req / s</small></div> <div><b>84 ms</b><small>p95 latency</small></div> <div><b id="runs">1</b><small>deploys today</small></div> </div> <p id="status" class="idle">waiting for push…</p> <button id="again" class="ghost">Deploy again</button>

Artificial intelligence

Designed for the conditions.

What you get

Clear steps, visible progress.

Frame the use case

Ground in data

Evaluate continuously

Operate with controls

Technology examples

Explore the implementation.

Related services

Backend systems

Database architecture

Cloud & DevOps

Let’s discuss what you need to build.

Artificial intelligence

Designed for the conditions.

What you get

Clear steps, visible progress.

Frame the use case

Ground in data

Evaluate continuously

Operate with controls

Technology examples

Explore the implementation.

Related services

Backend systems

Database architecture

Cloud & DevOps

Let’s discuss what you need to build.