Data & AI engineering studio

Navigate the frontier of data and applied AI

Data Compass Labz builds production-grade AI systems — from small language models and agentic automation to real-time streaming intelligence — for teams across the Nordics and Europe.

Data Compass Labz
40+
Models shipped
5
Nordic + EU hubs
6
Working languages
Services

What we build

Ten focused capabilities at the edge of applied AI.

Small Language Models & On-Device AI

Small Language Models & On-Device AI

Compact, efficient models that run at the edge — low latency, full privacy.

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Synthetic Data Generation

Synthetic Data Generation

Privacy-safe training data at scale — augment, balance, and unblock ML.

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AI Evaluation & Red-Teaming

AI Evaluation & Red-Teaming

Benchmark, stress-test and adversarially probe models before they ship.

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Multi-Agent Orchestration

Multi-Agent Orchestration

Cooperating agents with tool-calling, handoff and MCP/A2A protocols.

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Real-Time Streaming Intelligence

Real-Time Streaming Intelligence

Event processing and instant anomaly detection on Kafka/Flink pipelines.

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Knowledge Graphs & GraphRAG

Knowledge Graphs & GraphRAG

Enterprise knowledge graphs and graph-based retrieval for real reasoning.

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AI Observability & LLM Monitoring

AI Observability & LLM Monitoring

Token cost tracking, tracing and continuous evaluation in production.

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Vector Search & Semantic Infrastructure

Vector Search & Semantic Infrastructure

Embeddings, vector databases and semantic search at production scale.

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Voice AI & Conversational Interfaces

Voice AI & Conversational Interfaces

Real-time speech-to-speech agents and intelligent voice interfaces.

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AI Governance & EU AI Act Compliance

AI Governance & EU AI Act Compliance

Risk classification, documentation and conformity for EU AI regulation.

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How we work

How we work

A clear path from discovery to production.

1

Discovery

We map your data, goals and constraints.

2

Prototype

A working proof of concept in weeks, not quarters.

3

Build

Production engineering with tests, CI and monitoring.

4

Operate

Observability, evaluation and continuous improvement.

Projects

Selected work

A sample of recent engagements.

Healthcare

On-device triage assistant

A quantized small language model running fully offline in a clinical setting, classifying intake notes without data leaving the building.

Fintech

Real-time fraud stream

A Kafka/Flink pipeline scoring transactions in under a second, cutting review backlog and catching abuse as it happened.

Legal

GraphRAG compliance copilot

A knowledge-graph retrieval layer that answers multi-hop regulatory questions with traceable, auditable sources.

Projects
Find your starting point

Find your starting point

Three quick questions to point you to the right service.

What best describes your challenge?

What stage are you at?

What matters most?

We suggest starting here:

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From the lab

From the lab

Field notes on the tools we build with.

2 July 2026

When a small model beats a big one

On a narrow task, a fine-tuned 3B model can match a frontier API at a fraction of the cost — and never leak a token.

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24 June 2026

GraphRAG vs plain vector search

Vector search retrieves what looks similar. For multi-hop questions about relationships, that is not enough.

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15 June 2026

A practical EU AI Act readiness checklist

The Act is law. Vague policies will not satisfy an auditor. Here is what to have ready.

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Have a data or AI problem worth solving?

Book a 30-minute call. We will tell you honestly whether we can help.

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Knowledge

Field notes, monthly

Practical notes on data and applied AI. No hype, unsubscribe anytime.