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The Tools We Use - and
Why We Use Them

Every technology in our stack has been chosen because it solves a real problem in a production environment. We do not add to this list for the sake of an impressive slide — we add when a client platform needs it, it has been validated under real load, and our engineers know it well enough to debug it at 2am.

Tech Stack

Frontend Engineering

Building interfaces from enterprise admin portals to consumer-grade streaming apps and crossplatform mobile

Angular : Primary enterprise web framework — used across operator CRM portals, hospital management dashboards, gaming admin consoles, and data-heavy internal tools requiring complex state management
React / Next.js : Consumer-facing web — marketing sites and SEO-priority applications
Vue.js : Lightweight admin dashboards and rapid-prototype interfaces
Flutter : Cross-platform iOS and Android mobile — patient apps (mHealth), gaming apps, and consumer mobile products. Single codebase delivering native performance across both platforms
TypeScript : Type-safe codebases across all frontend projects above a certain complexity threshold
Tailwind CSS / Material UI / Ant Design : UI frameworks selected per project design system requirements

Backend Engineering

The processing, business logic, and data layer that powers our platforms

Node.js (NestJS) : Real-time services, API-heavy platforms, and event-driven systems — used across gaming, OTT, and AI Call Centre backends
Java Spring Boot : Enterprise-grade, high-throughput backends — chosen for systems where JVM performance and mature ecosystem matter
Python (FastAPI / Django) : AI/ML services, data pipelines, and LLM integration endpoints — FastAPI preferred for low-latency inference APIs
PostgreSQL / MySQL : Primary relational stores for structured, transactional data across most platform builds
MongoDB : Document store for content-heavy and schema-flexible use cases — OTT metadata, health records
Redis : Caching, session management, and real-time leaderboard state — used in gaming and voice platforms
Kafka / RabbitMQ : Event streaming and message queuing for decoupled, async processing at scale

Cloud & Infrastructure

AWS-first with a DevOps-embedded approach on every project

AWS (Primary) : EC2, ECS, EKS, Lambda, RDS, ElastiCache, S3, CloudFront, SQS, SNS — used across all production deployments
GCP : Secondary cloud — used for AI/ML workloads and MedGemma integration
Private VPC : Telecom operator private virtual cloud — used where operator data residency or network security requirements mandate on-operator-premises hosting
Docker : All applications containerised for environment consistency from dev to production
Kubernetes / ECS : Container orchestration — Kubernetes for complex multi-service deployments, ECS for simpler workloads
Terraform : Infrastructure as Code — all production infrastructure version-controlled and reproducible
GitHub / Bitbucket : Source control — GitHub for most projects; Bitbucket where client environment or existing tooling requires it
Jenkins : Primary CI/CD — automated test, build, and deployment pipelines; ArgoCD for Kubernetes-native GitOps deployments
Prometheus / Grafana / ELK : Observability — metrics, dashboards, and log aggregation from day one of every production deployment

AI, ML & LLM Frameworks

Production AI — integrated into platforms we build, not separate experiments

GPT-4o (OpenAI) : Primary LLM — used in AI Call Centre Agent (conversation), mHealth (clinical support), and general LLM integrations
Anthropic Claude : Alternative LLM — used where reasoning depth or context window requirements favour Claude
Google MedGemma : Medically specialised LLM — deployed in production for clinical consultation summaries and patient-facing prescription explanations in our mHealth platform
Google Gemini : Multimodal AI and GCP-native integrations
LangChain / LlamaIndex : RAG pipeline orchestration, agent frameworks, and multi-tool LLM workflows
Pinecone / pgvector / Weaviate : Vector databases for semantic search and knowledge base retrieval
OpenAI Whisper : Speech-to-text — real-time STT for AI Call Centre Agent voice pipeline
ElevenLabs / Azure TTS : Text-to-speech — natural voice synthesis for AI voice applications
Ollama : Local SLM deployment for on-premise or air-gapped AI requirements
HuggingFace Transformers : Open-source model evaluation and domain fine-tuning experiments

Telecom & Voice Technologies

Our core differentiator — 14+ years of production telecom engineering

Asterisk : Open-source SIP server — used in RBT platform, IVR systems, and AI Call Centre Agent voice ingestion
FreeSWITCH : Production SIP server for high-throughput voice — AI Call Centre Agent primary telephony layer
Kamailio : SIP proxy and load balancer — used in high-availability operator deployments
SMPP v3.4 : SMSC integration protocol — transactional and promotional SMS, subscriber notification flows
SS7 / MAP : Core telecom signalling — USSD session management and HLR interfaces
USSD Gateway : Interactive subscriber menus at zero data cost — deployed in mHealth and RBT platforms
IN / CAMEL : Intelligent Network — real-time charging and service control for operator VAS platforms
WebRTC : Browser and mobile real-time audio/video — mHealth telemedicine, AI voice web channel

Platform-Specific Technologies

Specialist tools used within specific platform domains

FFmpeg : Video transcoding — in-house proprietary transcoding pipeline for OTT streaming platforms
Widevine / FairPlay / PlayReady : DRM — content protection across OTT streaming clients
HLS / DASH : Adaptive bitrate streaming protocols — OTT video delivery
DDEX : Digital Data Exchange standard — global industry standard for digital media supply chain content ingestion, used in our OTT editorial CMS for automated content delivery from labels and distributors
LensKit : Open-source recommendation engine — collaborative filtering for OTT content personalisation
Telecom Airtime & Wallet Billing : Operator airtime deduction and mobile wallet integration for in-platform charges — used in gaming and VAS platforms to enable carrier billing without payment cards
Google Maps Platform / Mapbox : Real-time GPS mapping — ambulance tracking (mHealth), fleet management (student transportation)
Stripe / Razorpay : Payment gateways — OTT subscription billing and regional payment coverage
HL7 / FHIR : Healthcare data exchange standards — EHR interoperability in mHealth platform
Wowza Streaming Engine : Live streaming media server — OTT live broadcast delivery