Case studiesbuilt to last.
WhatsApp Cloud API console: how we built PrismWA
A shared inbox and visual flow builder for WhatsApp Business teams — with real-time messaging, role-based access, idempotent webhook processing, and a no-code automation engine built on top of Meta's Cloud API.
12+
Flow node types
<10s
Webhook-to-inbox latency
0
Duplicate messages processed
Building PrismBot: A Multi-Tenant, Multi-Agent Chat Architecture
A multi-tenant AI chatbot backend built with NestJS and TypeScript that utilizes LangGraph for a supervisor-specialist agent routing system, delivering real-time responses and autonomous CRM updates via WebSockets.
3-Stage
RAG pipeline with parallel query expansion
100%
Tenant isolation across vectors, KB, and CRM
2
Specialist agents (RAG Expert & CRM Sales)
Replacing Exotel with a Self-Hosted Voice AI Gateway — 60% Cost Reduction at 500K Calls/Day
A production-grade telephony gateway that bridges PSTN networks with AI voice applications, enabling a large social-impact foundation to cut per-minute call costs by 60% while handling half a million calls daily — with zero changes to existing AI application code.
60%
Cost reduction
500K
Calls/day capacity
<200ms
One-way audio latency
Building a Real-Time Taxi Booking App with Live Maps
A React Native taxi booking app with live driver tracking on the map. Replacing 5-second polling with WebSockets cut location delay from 4-5 seconds to under one, and API traffic by roughly 70%.
<1s
Location delay
70%
Fewer API calls
25%
Battery savings
Building a Multilingual Voice AI Pipeline with Bhashini for Public Welfare Surveys
A real-time speech pipeline on Bhashini covering 14 Indian languages, running speech recognition, translation, and synthesis end to end in under two seconds.
<2s
Pipeline latency
14
Languages supported
0
Human translators needed
PrismLMS: AI-Powered Learning, End-to-End
An LMS that generates its own supporting material. Upload a chapter and get a quiz, flashcards, a mind map, and a summary back in under a minute, streamed as they finish.
~60s
Generation time
4
AI artifacts per chapter
5
Parallel LLM executions
PrismBot RAG Implementation
A production-grade, multi-tenant AI chatbot platform enabling organizations to deploy custom, context-aware assistants across web and WhatsApp channels.
<300ms
Vector search latency
4x
Retrieval relevance improvement
10
Parallel embedding lookups
AI-Powered Interview Orchestration Platform
A multi-agent AI system that conducts structured interviews autonomously — real-time video, adaptive questioning, and objective behavioral assessment at any scale.
0
Interviewer hours per screening
100%
Structured script adherence
5
Behavioral dimensions per candidate
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