Practical AI, Not Proof-of-Concept Demos
Most AI demos look impressive and fall apart in production. We build AI features the same way we build any software — with proper engineering, testing, and monitoring.
Raw ChatGPT API call with a basic prompt
Structured prompts with examples, output validation, and fallback handling
AI trained on generic internet data for your domain questions
RAG over your actual documents and knowledge base
No monitoring — you find out about failures from users
Latency tracking, output quality evaluation, and error alerting
All your business data sent to a public API
Data sovereignty plan before a line of code is written
Model options we work with
OpenAI GPT-4o & o1
Most versatileBest general-purpose reasoning. Azure OpenAI available for data processing agreements.
Anthropic Claude 3.5
Best for documentsExcellent for long-context document processing and instruction following.
Google Gemini 1.5 Pro
MultimodalMultimodal — handles text, images, audio, and video in a single context.
Open-weight (Llama 3, Mistral)
Data sovereigntySelf-hosted or via Cloudflare Workers AI for data sovereignty and cost control.
AI Capabilities We Build
Practical AI features that solve specific business problems — not AI for the sake of a press release.
Document summarisation
Contracts, reports, and long-form content summarised accurately and consistently.
Semantic search
Natural language search over your documents, knowledge base, or product catalogue.
AI chat & assistants
Grounded chatbots that answer based on your data — not generic internet knowledge.
Classification & routing
Automatically classify support tickets, emails, and documents and route them correctly.
AI agents
Agentic pipelines that call your APIs, make decisions, and complete multi-step tasks.
Responsible AI design
Output validation, guardrails, human-in-the-loop controls, and audit logging.