AI engineering services, built with your team
AI harness engineering services, AI consulting and custom AI development. We build production-ready AI systems, train models, automate workflows and prepare data, with the harness around every system we deliver.
Eight services
From a first architecture conversation to a system your team can run.
- Domain-specific AI solutionsThree solution areas, in education, healthcare and HR, built around your data, your workflows and your regulator.
- Small language and open-weight model trainingTrain or fine-tune small and open-weight models for one job, such as classification or customer care, and run them where your data lives.
- Workflow automationWe chain AI steps and your existing systems into automated workflows, discovered, tested against mock data and generated as reviewable code.
- Intelligent RPA with generative AISoftware robots for systems with no API, using generative AI to read documents, handle exceptions and draft work for human review.
- Software factoryA governed, AI-assisted delivery pipeline that turns specifications into tested, reviewable software through templates, staged generation and human approval gates.
- Data curationWe collect, clean, structure and quality-control your data, with people reviewing the uncertain cases, so it is ready for AI.
- Website quality and SEO assuranceAI-driven checks for broken links, search visibility and content errors, with prioritised fixes and scheduled re-checks.
- Test automation and code securityA security check on every pull request, automated tests for your applications and performance runs on a schedule, all governed by the harness.
Six practice areas
How the services come together, from a first AI consulting conversation to a system in production.
- AI consultingEnterprise AI consulting and generative AI consulting: architecture, governance and the first use case worth building.
- AI developmentAn AI development company for custom AI solutions: enterprise AI development services and LLM engineering services, built around your data and regulator.
- Agentic AIAI agent engineering services and agentic AI development: enterprise AI agents that plan, use tools and stay inside your controls.
- Production deploymentDeploy LLMs to production: production AI implementation that takes an AI proof of concept to production, with evaluation, monitoring and fallbacks.
- AI modernizationAI application modernization and enterprise GenAI implementation, with AI workflow automation joined to the systems you run.
- AI architectureModel and inference engineering, AI agent orchestration, RAG and knowledge engineering, AI evaluation and observability, and AI governance and guardrails.
Plan your first project
Tell us the business objective. We will shape the first step around it.