AI Solutions
AI that takes real work off your team, built on your own data and checked by people where it matters.
Most AI projects stall between a nice demo and something people use every day. We focus on that gap: connecting models to your documents, inbox, CRM and databases, adding permissions and human review where mistakes are costly, and measuring the result in hours saved. We usually start with a focused pilot on one workflow, prove it works, then expand.
Solutions
- AI agent development: Agents that do the work in your tools (CRM, inbox, ERP, spreadsheets) with approval steps where a mistake would cost you.
- Adaptive AI agents: Agents that learn from corrections and outcomes, so accuracy improves week by week inside clear guardrails.
- End-to-end business automation: Whole processes, from lead to invoice or order to delivery, automated end to end, with people only where judgment matters.
- Custom LLM setup and development: Private, fine-tuned or self-hosted models on your data and infrastructure, with evaluation and cost control.
- AI assistants and voice agents: Chat and phone assistants for support, sales and bookings that answer from your own documents and hand off to a person.
- Document and data intelligence: Invoices, contracts and forms read, checked and pushed into your systems, plus search across everything you own.
What we build
- Assistants for support, sales or internal teams that answer from your own documents, with sources
- Document processing: invoices, forms, contracts and PDFs read, checked and pushed into your systems
- Workflow automation across email, CRM, spreadsheets and internal tools
- AI features inside your existing product, from smart search to drafting and summarising
- Evaluation and guardrails so you know how accurate it is before customers see it
What you get
- A working pilot on one real workflow, usually within a few weeks
- Clear accuracy numbers from testing on your own data
- Human review built in wherever an error would be expensive
- Your data stays in your accounts and is not used to train public models
Guides and insights
- AI Agents in 2026: What They Can Actually Do for a Business: A plain-English guide to AI agents: how they differ from chatbots, which business tasks they handle well today, where they still fail, and how to roll one out without losing control.
- Physical AI: How Foundation Models Are Changing Robotics: Robots are starting to learn general skills the way language models learned general text. Here is what "physical AI" means, what vision-language-action models can do, and where businesses can use robotics today.
- How to Build an AI Assistant for Your Business: A Step-by-Step Guide: From choosing the first use case to launch and monitoring: a practical, vendor-neutral walkthrough of building an AI assistant that your customers or staff will actually use.
- Enterprise RAG That Works: Hybrid Search, Reranking and Honest Citations: Why basic vector search breaks on real company documents, and the retrieval pipeline we use to build AI assistants that find the right answer and show where it came from.
- Model Context Protocol (MCP) Explained: Connecting AI Assistants to Your Tools and Data: MCP is an open standard for connecting AI models to tools and data. Here is what it is, why it matters for companies building with AI, and how to expose your product through it safely.
- The EU AI Act for Product Teams: What It Means If You Sell in Europe: A practical overview of the EU AI Act for companies building or using AI, including risk categories, transparency duties, timelines and what US, UK and Australian teams selling into Europe should do now.
- How to Cut LLM Costs Without Hurting Quality: Practical techniques that reduce AI running costs in production: model routing, prompt caching, shorter context, batching and knowing when a smaller model is good enough.
- AI in Healthcare: Practical Uses Beyond the Hype: Where AI is genuinely helping clinics, hospitals and health tech companies today, from documentation to triage and scheduling, and the privacy and safety rules that shape how it is built.