Products We've Shipped

Independent restaurants needed an end-to-end platform to manage menus, orders, deliveries and payments without bolting together half a dozen point tools.

We designed and built a multi-tenant platform on Laravel and React covering vendor onboarding, menu management, ordering, delivery dispatch and payments. Each restaurant gets isolated data with shared infrastructure.

A production multi-vendor platform serving multiple restaurants from a single deployment, with operator dashboards, customer ordering flows and integrated payments.

Interpretation providers needed a reliable real-time video platform to connect interpreters and end users on demand, with session routing and recording.

We built a real-time video platform using WebRTC and Node.js on AWS, with session routing, presence tracking, and operator tooling for monitoring active sessions.

A production video interpretation platform handling concurrent sessions with low-latency routing and a clean operator interface.

Small business owners needed an AI assistant that could answer questions grounded in their own documents — not just generic LLM responses.

We built an AI assistant using Python, FastAPI and LangChain with a Retrieval-Augmented Generation pipeline over user-uploaded documents. Vector search keeps answers tied to source material, with citations.

A production RAG-based assistant that answers user questions grounded in their own corpus, with citation back to source documents to reduce hallucination.

Teams wanted an assistant that could listen to meetings, transcribe in real time, and produce structured notes and action items afterward.

We built a meeting assistant using Whisper for transcription and an LLM pipeline to extract summaries, decisions and action items. Notes are delivered minutes after the meeting ends.

A production meeting assistant that turns audio into structured, actionable notes — used to replace manual note-taking in recurring meetings.

Clinicians spend significant time after each visit writing up notes. A reliable assistant that drafts clinical documentation from the conversation can give that time back.

We built an AI documentation assistant that captures the consultation, generates structured clinical notes, and lets the clinician review and edit before saving. Designed with the data handling constraints healthcare requires.

A production AI assistant that drafts clinical documentation from patient consultations, reducing post-visit documentation time for clinicians.

Users wanted an AI companion that adapted to their context over time — not a stateless chatbot that forgets every conversation.

We built a Flutter mobile app with a personalisation layer that retains preferences and context across sessions, layered on top of an LLM backend. Cross-platform delivery for iOS and Android from a single codebase.

A cross-platform mobile AI companion shipped to both stores from a single Flutter codebase, with persistent personalisation across sessions.