The platform

Full-stack AI, end to end.

Six capabilities, one system. From raw operational data to a deployed model to a supervised agent — built to run in production, in your own environment.

Sources
Ingest
POS · SQL · portals · email

Live feeds from operational systems, wholesaler portals and inboxes.

Bronze
Raw
exact copy

Immutable raw landing — every row captured, nothing lost.

Silver
Cleaned
conformed

Typed, de-duplicated and conformed — quality checks enforced.

Gold
Analytics
20,118,400 rows

Modelled tables feeding per-pharmacy models, agents and dashboards.

Surfaces
Intelligence
models · agents · dashboards

Demand models, ordering agents, text-to-SQL and live dashboards.

01Azure · DuckDB · Delta

Data Lakehouse

One source of truth, built from your raw operational data.

Automated bronze → silver → gold pipelines that turn scattered, messy operational exports into clean, analytics-ready tables. Quality checks, lineage and schema evolution are handled — so your dashboards, agents and models always work from the same trusted source.

20M+rows live
  • Incremental daily runs with watermarking — no full reloads
  • Automated quality checks and full data lineage
  • Schema evolution handled without breaking downstream
  • Runs in your own cloud tenancy — data never leaves
02Local · Azure · self-hosted models

Verified AI Ordering Agents

Per-pharmacy models. Multi-agent verification. Human sign-off.

Each pharmacy's dispensing and ordering history trains its own demand model. A panel of specialised agents — not one model — jointly evaluates every proposed order against forecast, margin, wholesaler price and supply risk. Nothing executes until the panel agrees and every hard guardrail passes.

Multi-agentverification
  • Per-site demand and stock-optimisation models — not a generic average
  • Juror approach: multiple independent agents verify each order
  • Hard guardrails: budget ceiling, expiry, shortage and over-order protection
  • Human sign-off gate + full per-order audit trail
  • Trained on ~20M rows of real operational dispensing history
03Python · XGBoost · per-site forecasting

ML & Stock Optimisation

Models tuned to each site — not a generic average.

How one branch buys and dispenses is nothing like the next. We learn each pharmacy's own demand patterns and turn them into forecasts that drive ordering decisions, cut dead stock and protect margin — production models running on real data, not a notebook that never ships.

Per-sitemodels
  • Per-pharmacy demand patterns — models tuned site by site
  • Stock optimisation: right product, right quantity, right time
  • Forecasts feed directly into the ordering agents
  • Anomaly detection and NLP across dispensing history
04OpenAI · local models · LangChain

LLM & Text-to-SQL

Ask in plain English. Get an answer from your actual data.

Natural-language access to your real business data — text-to-SQL and retrieval grounded in the lakehouse, with guardrails so answers stay true to what the data says. Not a chatbot wrapper over generic knowledge.

847/dayqueries answered
  • Plain-English questions → validated SQL against your gold tables
  • Retrieval grounded in your real operational data
  • Guardrails against hallucinated or out-of-date answers
  • Analyst-grade access for the whole team, no SQL required
05Python · Azure · Power Automate

RPA & Process Automation

Ingest, reconcile, report — hands-off, 24/7.

Ingestion bots pull from operational systems, wholesaler portals and email. Reconciliation bots match invoices to orders, flag exceptions and repair data quality. Dispensing bots handle scheduled, repetitive tasks. All run unattended with monitoring on every run.

99.2%uptime
  • Wholesaler portal scrapers and email ingestion bots
  • Invoice-to-order reconciliation and exception flagging
  • Dispensing and process automation running 24/7
  • Monitoring and alerting on every scheduled run
06Next.js · Vercel · Azure

Live Dashboards

Decisions, not just charts.

Real-time operational dashboards wired straight to the lakehouse — automated alerts, KPI tracking, and an AI assistant built in. Designed to surface the decision that needs making, with detail tucked away until you need it.

Liveper client
  • Reads directly from gold tables — refreshed on every pipeline run
  • Automated alerts and KPI tracking
  • Built-in natural-language assistant for ad-hoc questions
  • Deployed in your own environment — no data leaves

Ready to ship

Let's get your production AI live.

Bring us your operational data. We'll build the system that acts on it — deployed in your environment, measured in production.