Knowledge systems
Make documents and specialist knowledge easier to find and use. We build knowledge graphs, semantic search, and retrieval pipelines for your teams and their AI tools.
Services
Knowledge systems, agents, and machine learning
We connect the knowledge spread across your documents, systems, and people, and make it accessible through search, software, and AI.
AI agents
Automate processes across your tools and systems, with clear permissions, testing, and human review at the points that need judgment.
Machine learning
Take models from an initial use case to reliable production software. We handle data, training, evaluation, and the engineering needed to meet your performance and cost requirements.
Approach
Two ways to engage
A complete project
We agree the scope, schedule, and handover with you, then take responsibility for delivery. You receive a production-ready system with the code, documentation, and guidance to operate it.
Expertise within your team
We join your engineers for architecture, implementation, and delivery, building capability as we go. We fly in for kickoffs, events, and on-site weeks, with remote collaboration in between.
A clear starting point
Start with a fixed-scope, fixed-price assessment, or bring us in to lead engineering for your venture. We agree responsibilities and deliverables before the engagement begins.
Knowledge infrastructure assessment
In two to three weeks, we map your knowledge sources, assess how well people and software can use them, and deliver a practical roadmap prioritized by risk and return.
Book the assessment- Knowledge inventory — sources, owners, systems, and expertise held by individuals
- Retrieval audit — what people, search, and AI tools can find
- Agent-readiness review — APIs, permissions, and data quality
- Build roadmap — architecture, priorities, and delivery estimates
- Handover session — findings, recommendations, and questions
Interim CTO for your venture
We lead engineering from idea or pilot through to paying customers, and build the team that takes over. Our most recent venture reached five paying customers in three quarters; the largest team we built grew to forty people.
Talk about your venture- Architecture and technology choices aligned with your business
- Hiring, from the first engineer to the leaders who take over
- Delivery processes — planning, reviews, testing, and releases
- Technical leadership in product, customer, and investor conversations
- A planned handover to an independent engineering team
Projects
Systems in production
Better decisions across a grocery business
Wisdom Labs, the AI spinoff of a multinational grocery group, needed a team and a system to improve stock, product, and replenishment decisions.
As interim CTO, we built a 40-person data-science and engineering organization and a decision platform on a Neo4j knowledge graph. The system learns from the results of its recommendations.
€250,000 saved in one quarter at a single pilot location, through reductions in dead stock and supply-chain inefficiencies.
Scaling a founder’s coaching expertise
A music-industry coaching company needed to serve more artists while preserving the methods and judgment of its founder.
As CTO, we built an AI agent around the founder’s methods. It creates yearly plans and weekly checklists, evaluates artists’ submissions, and involves a human coach when judgment is needed.
Artists receive individual plans and weekly follow-ups through the software, freeing the founder to focus on the coaching that needs personal attention.
Searchable knowledge from live events
A live-events platform needed to turn talks across simultaneous stages into structured knowledge that organizers and attendees could use during the event.
As CTO, we built a pipeline from live speech to a knowledge graph: transcription, extraction of claims and entities, and links to Wikidata. It supports products used during and after events.
Five paying customers by the end of 2026, with Q1 growth secured. Live processing stays within three seconds for 95% of requests, with a third event-management or CRM integration underway.
Earlier projects
- The just-in-time imagery engine behind Sentinel Hub — petabyte-scale, ESA Copernicus Masters winner, acquired with Sinergise by Planet Labs.
- A boot-speed and performance rescue on a 100-engineer regulated-gaming RTOS codebase.
- A commerce SaaS taken international as interim CTO — React admin, public API with SDK, containerized core.
- Two patented hardware products taken from firmware to production line and casino floor.
- Distopik's own founding product, through the SoundHub Denmark accelerator.
€250K
Saved in one quarter, one pilot location
3s
Live processing latency, 95th percentile
40
People in a data-science and engineering team we built
Expertise
Where we go deep
01
Knowledge Systems
- Ontology and taxonomy design
- Retrieval pipelines and semantic search
- Knowledge graphs and entity resolution
- Corpus ingestion, normalization, and permissions
- RAG architecture and grounding
- Expert-knowledge capture
- Retrieval evaluation and relevance tuning
02
Custom Agents
- Agent architecture and orchestration
- Tool design and API surfaces
- Guardrails and permission scoping
- Human-in-the-loop checkpoints
- Memory and context management
- Eval harnesses and release gates
- Observability and cost control in production
03
AI / ML / Data
- System design and architecture
- Model scoping, training, and fine-tuning
- MLOps consulting
- Data pipelines and data quality
- Scaling and operations
- Cloud infrastructure
04
Software Architecture
- Architecture and design
- Technology evaluation
- Stack selection
- Retooling and replatforming
- Performance engineering and profiling
- Scaling operations
- DevOps and process automation
05
Testing & Evaluation
- Test automation and CI integration
- Complex systems testing
- Performance and load testing
- Data quality assurance
- LLM and agent eval suites
- Regression baselines for non-deterministic systems
- Risk-based test strategy
06
Venture & Advisory
- Venture building — idea, pilot, paying customers
- CTO-for-hire and interim CTO
- Product engineering on patented inventions
- Technical due diligence
- Mentoring engineering leadership
- Technical hiring and interview design
- Build-vs-buy analysis
- Vendor and model selection
Contact
Let’s discuss your next project
Book a 30-minute conversation to discuss your goals, constraints, and where we could help. You don’t need to prepare a presentation.
Available from November. Booking now.