Every engagement ships these as concrete artifacts you own — not slides, not hand-waving.
Cross-document, multi-lingual semantic search over your archive — handles Devanagari, Tamil, Bengali, etc. Ranked by relevance, with source citations and snippet previews.
Extract entities, relationships, and structured fields from scanned PDFs and forms. Auto-tag for downstream workflows (case routing, claims, RTI compliance).
Conversational interface over your knowledge base — answers in the user's preferred language, escalates politely when uncertain, audit-logged for compliance.
Custom ML models on your structured + unstructured data: case-prioritisation, fraud signals, demand forecasting, sentiment trends from grievance feeds.
Workshops, data audit, capability mapping, reference architecture, build-vs-buy calls. Output: a phased plan with budget envelope your CTO and procurement can both sign off.
Ingestion pipelines, indexing, base search and intelligence layers. Working v1 demo at week 6 with at least one real corpus indexed.
Citizen / staff UI, chatbot, analytics dashboards, role-based access, multilingual support, accessibility (WCAG 2.1 AA, RPwD compliance).
Third-party security audit, accessibility certification, user acceptance testing with real departmental staff, training, runbooks, and a 12-month support handover.
Best-in-class where it matters; boring and battle-tested everywhere else.
All four phases priced together after a scoping conversation. Government scopes typically route via GeM, direct procurement, or partner SI arrangements. On-prem deployments and STQC / accessibility certification add line items.
Yes — across BFSI, court records, land records, and citizen service scopes. We can share references on a per-engagement basis under NDA.
Yes. Multi-lingual semantic search over a heterogeneous corpus (texts, scanned manuscripts, lecture notes, court records), with chatbot and citizen-facing surfaces, is a representative scope for us. We architect and build these systems end-to-end.
Both. For sensitive scopes (court records, land records, classified archives) we deploy on-prem with air-gapped networks. For citizen-facing scopes, MeghRaj / NIC cloud or AWS GovCloud equivalents are common.
We engineer to STQC and WCAG 2.1 AA / RPwD by default. Final certification cost (third-party audit) is quoted separately as a line item per the scope.
Yes — we hold standard GeM credentials. Most government scopes route through GeM, direct procurement, or partner SI arrangements.