Each story ties a business bottleneck to the stack we chose, the metrics we agreed with the client, and what actually reached production. Skim for your industry, then open the full case for timelines, risks, and lessons from go live.
A UK workforce solutions company ran contractor, compliance, and client workflows on a Laravel monolith that needed ten to fifteen seconds for core dashboards and manual reposting to every board. RG INSYS delivered Node.js APIs, a React workspace, webhook backed posting to five major boards, live search on PostgreSQL plus Redis, and audit ready documents in eight weeks with three senior engineers using Claude Code and Cursor end to end.
Independent agencies were leaking enquiries across Rightmove, Zoopla, OnTheMarket, phones, and walk ins. RG INSYS shipped a white label multi tenant SaaS with unified ingestion, trained lead scoring, automated property matching, and branded tenant sites so pilot agencies lifted lead to viewing conversion forty percent while holding average response under five minutes.
A Dubai last mile operator ran four hundred vehicles on WhatsApp dispatch and five minute delayed vendor maps while fuel hit twenty eight percent of spend. RG INSYS streamed MQTT telemetry into TimescaleDB, gave dispatchers a Mapbox control tower, and shipped an offline first React Native app with barcode scan and photo proof so reroutes and disputes share one timeline.
Founders needed GCSE and A Level tutoring with WebRTC classrooms, collaborative whiteboards, and rubric based AI marking for fifteen thousand concurrent learners before term. RG INSYS delivered a multi tenant stack on LiveKit, row level isolation in PostgreSQL, Stripe Connect billing, and load tests that proved latency budgets before agencies onboarded tutors.
A UK retail chain with one hundred twenty stores still SSHed monthly into collocated metal while peak sales melted a single Nginx front door. RG INSYS dockerised five services, landed them on EKS with GitHub Actions rollbacks, and added Prometheus, Grafana, Loki, and Jaeger plus paging so releases moved from Sunday gambles to daily health checked deploys.
Three thousand monthly claims arrived as scans and PDFs, then sat for days while handlers retyped policy metadata. RG INSYS combined Textract OCR, GPT-4 structured outputs, policy API validation, and a rules plus ML triage lane so eighty five percent of claims clear in four hours and specialists only review low confidence fields.
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