Service Brochure · 2026
Applied AI
Production AI, built into your product.
We design and ship LLM features as part of real products — grounded, safe, evaluated and integrated. Not chat-on-top — actual workflows that save hours every week.
Models
Claude · GPT · Gemini
What we build
Use cases we deliver
Conversational assistants
Multi-turn assistants with long context, grounded in your data.
RAG document search
Vector-search answers from your docs, with cited sources.
Agents & automation
Tool-using agents for multi-step workflows and real actions.
WhatsApp / SMS bots
LLM bots for sales, support, bookings and reminders.
Content engines
On-brand content pipelines with human approval.
Document understanding
Extraction, summarisation and classification at scale.
How we ship AI features
- Eval-first: we define success metrics & golden examples before writing prompts.
- Grounded: RAG and tool use over your data — never hallucinated answers.
- Safe by design: scope control, PII detection, escalation paths and audit logging.
- Human-in-the-loop: approval and feedback UIs that improve the agent over time.
- Cost-aware: caching, smaller models for sub-tasks, and observability on token spend.
Engagement
| Phase | What you get | Indicative |
|---|
| Discovery sprint | Use-case validation, eval plan & demo prototype (1–2 wk). | Custom quote |
| Production build | Full agent, integration, eval & deployment (6–10 wk). | Custom quote |
| Iteration & tuning | Ongoing improvements based on real usage & eval scores. | $35 / hr senior |
Tech stack
Claude APIOpenAIGeminiCodexPython.NET CoreRAG · Vector DBsLangGraph · AgentsEval frameworks
From idea to production
Tell us the workflow you want to automate.