What we build
Most AI projects succeed when they’re scoped as a feature inside a workflow.
Chatbots grounded in your data (RAG)
Answer questions from internal docs, policies, FAQs, or product specs — with citations and controlled behaviour.
- Vector search + document pipelines
- Prompting + evaluation
- On-brand responses
AI agents & workflow automation
Automate repetitive tasks: triage, routing, summarising, drafting, and API-driven actions.
- Human-in-the-loop controls
- Logging + safety checks
- Integrations (CRM, email, tools)
Document processing
Extract and validate data from PDFs/images and push it into your systems.
- OCR + classification
- Structured outputs
- Approval workflows
MLOps & observability
Monitor quality, cost, latency, and drift. Add guardrails and rollback plans.
- Evaluation suites
- Usage monitoring
- Safe deployment
How we keep it safe
AI isn’t “set and forget”. We design for reliability.
Guardrails
Role-based access, rate limits, sensitive-data handling, and clear refusal rules.
Traceability
Logs + prompt/version control so you can audit behaviour and iterate safely.
Not sure if AI is worth it?
Tell us the workflow and what “success” looks like. We’ll suggest a small first milestone to validate value.