Services
AI and ML services, from first idea to production.
Nine services that cover the full journey, delivered by one accountable team. Choose a single service or combine them into one project.
Jump to a service
01
Agentic AI & automation
AI agents and multi-agent workflows that plan, use tools and act inside your ERP, CRM and ticketing systems, with human approval where it matters.
What we build
- Agents that triage, draft and resolve tickets, cases and requests
- Multi-step workflows across ERP, CRM, email and document systems
- Secure tool and data access through MCP servers and APIs
- Approval steps, audit trails and fallbacks for every action an agent takes
Typical technology
You receive
A production agent with an evaluation suite, monitoring and a runbook.
02
Generative AI apps & copilots
Assistants, enterprise search and document intelligence grounded in your own data, so answers are accurate, cited and permission-aware.
What we build
- Internal assistants that answer from policies, manuals and contracts
- Enterprise search with citations and access control
- Document AI for invoices, claims, forms and reports
- Customer-facing assistants with a safe hand-over to people
Typical technology
You receive
A deployed assistant, a retrieval pipeline and quality benchmarks on your own questions.
03
Custom machine learning
Predictive models built for your data: demand forecasting, anomaly and fraud detection, churn prediction, computer vision and NLP.
What we build
- Demand and capacity forecasting
- Anomaly, fraud and fault detection
- Churn, risk and propensity models
- Computer vision for inspection, counting and safety
Typical technology
You receive
A validated model in production, with documentation and a retraining pipeline.
04
Private & fine-tuned models
Fine-tuned small and open-weight language models, hosted in the EU or on your own infrastructure, for when data can’t leave or cost and latency matter.
What we build
- Small language models fine-tuned to your domain and tone
- Open-weight models hosted in the EU or on-premises
- Model routing that balances quality, latency and cost
- Distillation from large models into efficient production models
Typical technology
You receive
A hosted model endpoint, benchmarked against your current solution.
05
LLMOps, MLOps & evaluation
The engineering that keeps AI reliable: automated evaluations, observability, drift monitoring, versioning and cost control for models and agents.
What we build
- Automated evaluation suites for accuracy, safety and regressions
- Tracing and observability for prompts, agents and tools
- Model registry, versioning and CI/CD for machine learning
- Cost dashboards and alerts for tokens and GPUs
Typical technology
You receive
An operating platform with dashboards, alerts and a release process.
06
AI security & governance
EU AI Act and GDPR readiness, risk classification, guardrails and red-teaming against prompt injection and data leakage. Built in, not bolted on.
What we build
- EU AI Act risk classification and gap analysis
- GDPR-aligned data flows and support for impact assessments
- Red-teaming for prompt injection, jailbreaks and data leakage
- Guardrails, content filters and human oversight design
Typical technology
You receive
A risk register, controls and documentation ready for audit.
07
Data foundations for AI
Pipelines, lakehouse platforms, vector databases and data quality, so your models and agents work from data you can trust.
What we build
- Lakehouse and data platform design
- Batch and streaming data pipelines
- Vector search and knowledge graphs for AI
- Data quality, lineage and access management
Typical technology
You receive
A governed data platform your AI use cases can build on.
08
AI-powered software engineering
Modernise legacy systems and speed up delivery with AI coding agents, and help your developers adopt them safely in their own workflow.
What we build
- Legacy code analysis and modernisation with AI support
- New web, backend and API development
- Adoption of AI coding agents with secure guidelines
- Test automation and documentation generation
Typical technology
You receive
Working software, and a team that ships faster with AI.
09
AI strategy & use-case discovery
Not sure where to begin? We map your processes, rank AI opportunities by value and feasibility, and deliver a roadmap with a first proof of value.
What we build
- Process mapping and AI opportunity discovery
- A business case and feasibility check for each use case
- Data and architecture readiness assessment
- A roadmap with a first proof of value
Typical technology
You receive
A prioritised roadmap and a scoped first project.
Cloud AI & the foundation
AI is only as good as the platform it runs on.
We build on the major cloud AI platforms and stay vendor-neutral, choosing the model and stack that fit your data, cost and compliance needs.
Cloud AI platforms
Landing zones for AI, model gateways, GPU and inference infrastructure, and migration to cloud.
Cost & performance
FinOps for AI workloads: right-sized models, caching and routing that keep token and GPU spend in check.
DevOps & platform engineering
CI/CD, infrastructure as code, monitoring and incident response for AI and classic workloads alike.
Software & integration
Web and backend applications, APIs and system integrations that put AI into the tools people already use.
Let’s talk about your next milestone.
Send us the problem you want solved. A short description is enough. We’ll come back with how we’d approach it and the best way to deliver it.