Customer Insight Analytics
- Insight extraction from interactions and feedback
- Customer satisfaction tracking
- Intent clustering at scale
Nine practices, one operating principle: every build is scoped against a number it has to move.
Task-specific agents that triage, route, draft and execute against your systems, with supervision and a log of every step.
Next-generation chatbots and virtual assistants that understand context, backed by retrieval over your own knowledge base.
IVR, voice assistants and conversational interfaces, including real-time video consultation flows.
Diffusion-based generation, computer-vision pipelines and visual understanding wired into product workflows.
Transform unstructured documents into structured, actionable data with auditable extraction.
ETL, scraping, enrichment and real-time streams, with fallback logic for unreliable upstreams.
End-to-end product delivery in React, Next.js and TypeScript, backend-first, built for correctness.
Salesforce, HubSpot, legacy ERPs and custom APIs, connected so the AI reaches the systems that matter.
Websites built for speed and discoverability, with the technical SEO, clear content structure and analytics that help the right people find you and get in touch.
Retrieval and GraphRAG over internal knowledge, built so an answer can always be traced back to the document it came from.
Forecasting, anomaly detection and optimisation models built against your own history and measured on the decisions they change.
Fine-tuning, prompt and pipeline work with a proper test set behind it, so a change is only kept when it clearly does better.
Contact us. We’ve got you covered.
Capabilities carried over from our earlier practice that still form part of client engagements.
Tell us the problem and what needs to change. We will say honestly whether AI is the right instrument for it, or something else and how we would approach the solution.