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AI & security

AI Agents & Enterprise Assistants

Language models no longer just answer questions. Designed well, they read your documents, connect to your systems and carry out part of the work themselves. We build these assistants as products, not experiments. They are measured, audited and something your team can rely on.

What we do

Use case and metrics

We define from the outset which tasks will save how much time, and prepare the evaluation set that will measure success before the project begins.

Document-grounded assistants (RAG)

We build assistants that work with technical documentation, procedures and contracts, ground each answer in a document and show where it came from.

Agents and tool integration

We build secure connections to your ERP, CRM, ticketing and file systems, and define which actions the agent may take on its own and which need approval.

Evaluation and monitoring

We continuously measure answer quality, cost and latency. When the model or its version changes, we compare the new results with the old.

Security and privacy

With authorisation, logging and masking of personal data, we set up a deployment that complies with data protection law (KVKK). If needed, we run the model on your own servers.

Team and process

Together with your users, we design how the assistant fits into everyday work, and we train your team at handover.

Typical deliverables

  • Use case and success criteria
  • Evaluation dataset and report
  • Working assistant or agent service
  • Integration and permissions design
  • Monitoring dashboard and cost report
  • Operations and handover guide

Tools and platforms

  • Claude
  • OpenAI
  • Open-weight models
  • Model Context Protocol (MCP)
  • LangGraph
  • pgvector
  • OpenSearch
  • Python
  • TypeScript

Standards and methods

  • KVKK
  • GDPR
  • ISO/IEC 42001
  • OWASP Top 10 for LLM Applications
  • NIST AI RMF
  • EU AI Act

Applied as the project requires.

Our approach

Most AI projects don’t stall because the model falls short. They stall because nobody measured the expectations and the integration was weak. So we start with the evaluation set, take the assistant live in a small but real workflow, and then expand.

We widen an agent’s authority step by step. First it suggests, then it acts with approval, and only then does it act on its own. Every step is logged.

Where we apply it

Defence & Aerospace

Electronics, embedded software and mechanics designed for harsh environments, long product life and rigorous documentation.

Industrial Automation

Control boards, embedded software and operator interfaces that run on the production line for years without interruption.

Automotive

Vehicle electronics, embedded software and test systems, built with functional safety and cybersecurity in mind.

Engineering it draws on

Systems Engineering & Architecture

We think about the product as a whole before we divide it into parts. Requirements, architecture and interfaces come together in the same picture.

AI & security

More AI & security services

Edge & Embedded AI

Models that process image, audio and sensor data on the device itself, not in the cloud. We design the board, the software and the model together.

  • Electronics
  • Embedded
  • Software

AI-Assisted Legacy Modernisation

We analyse legacy systems with AI-assisted tools, safeguard them with tests and move them, step by step, to a modern architecture.

  • Software
  • Systems

Secure-by-Design & Product Cybersecurity

We build connected products to be secure from the design stage, and prepare them for the European Union's new cybersecurity rules.

  • Systems
  • Electronics
  • Embedded
  • Software

Let's talk about your project.

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