Production AI, not demos
Most AI projects stall after an impressive demo. The hard part is making AI accurate, secure and reliable on real business data. That is exactly what our AI engineering team does: we build AI agents, retrieval-augmented generation (RAG) systems and fine-tuned language models that run in production and deliver measurable ROI.
AI solutions we build
AI agents that do real work
Autonomous and semi-autonomous agents that read emails, update your CRM, reconcile invoices, triage support tickets or research leads. We orchestrate them with LangGraph, CrewAI or custom frameworks, with human-in-the-loop approvals where it matters.
Enterprise RAG and knowledge assistants
Ask questions across thousands of contracts, manuals, policies or tickets and get cited answers. We combine semantic and keyword search, smart chunking and re-ranking to reach high retrieval precision — and we measure it.
Fine-tuned and private LLMs
When data can't leave your network, we deploy open-weight models (Llama, Mistral, Qwen) on your own infrastructure with vLLM and fine-tune them with LoRA for your domain language.
AI features inside your product
Smart search, summarisation, document extraction, classification, voice and vision features integrated into your existing web and mobile apps using OpenAI, Anthropic Claude or open-source models.
How we make AI trustworthy
- Evaluation first: every system ships with an automated test set and accuracy metrics.
- Guardrails: prompt-injection protection, PII redaction and output validation.
- Observability: token usage, latency and quality tracked in dashboards.
- Data privacy: zero-retention APIs or fully private deployments in your VPC.
Typical AI engagement
- AI discovery workshop — identify the highest-ROI use cases and data sources.
- Proof of concept in 10–14 days — a working prototype measured against real examples.
- Production build — security, integrations, monitoring and user interface.
- Continuous improvement — feedback loops, retraining and cost optimisation.
Whether you need a single AI chatbot or an enterprise-wide AI platform, you'll work directly with the engineers building it — not account managers.
