A glimpse of the platforms we've built — across elections, education, hospitality and AI products.
End-to-end big-data platform covering 403 assemblies and 1M+ polling stations across India with PDA-G classification, partitioned storage and live dashboards.
Cross-faith content platform with scripture-grounded Q&A built on retrieval-augmented LLMs covering Sanatan, Buddhist, Sikh and Jain traditions.
Conversational AI guide for spiritual travellers — personalised itineraries, temple knowledge and live booking workflows.
Multi-tenant school ERP with attendance, fees, examinations and parent communication — built for scale and reliability.
PMS + booking engine + analytics — with revenue forecasting models that improved RevPAR for early adopters.
Agent-assist platform with real-time transcription, intent detection and knowledge surfacing — cutting average handle time meaningfully.
A look inside the kind of work we ship — from analytics dashboards to model serving infrastructure.

Real-time revenue, occupancy and forecast dashboards across 40+ properties — built on a semantic layer the finance team trusts.
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Migrated a 50TB warehouse to a Delta lakehouse with parallel reads — no downtime and a 6x query speed-up for analyst workloads.
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Knowledge-grounded LLM assistant deflecting 80% of tier-1 tickets, with an eval harness that catches regressions before users do.
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White-label dashboards embedded inside a SaaS product — multi-tenant, themed and provisioned per customer via API.
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Demand and ETA models trained nightly, served sub-50ms — with drift monitoring and shadow deployments for safe upgrades.
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Four-week strategy engagement: data audit, tooling roadmap, hiring plan and a 12-month delivery sequence the board approved.
Request walkthrough →Remote-first delivery with overlapping working hours, NDAs, MSAs and enterprise procurement — handled.
Start a conversation →How the Voter Data Center went from a spreadsheet to a 134M-row analytics platform.
Raw voter rolls scattered across 403 PDF dumps with inconsistent column orders, name encodings and missing fields — no single source of truth.
Resilient Python pipeline with auto-reconnect, per-AC verification and partitioned SQL Server target. PDA-G classifier built on a curated surname dictionary.
Booth-level cast aggregations, life-stage analysis and assembly drill-downs — all delivered live to field teams through a clean ASP.NET dashboard.
They turned six months of analyst grind into a 20-second dashboard query. The architecture document alone was worth the engagement.
We've worked with three AI vendors before. Panchvaktra is the first one whose model actually held up after launch.
Documentation, runbooks, training videos — all there before go-live. Felt like onboarding an internal team.
Working partner on Azure data and AI workloads.
Active solutions on EKS, Glue and Bedrock for clients.
Documented SDLC mapped to ISO 27001 controls.
Incorporated in India — Panchvaktra Info Solutions Pvt. Ltd.