Statistical authorities, ministries, public-utility operators and higher-education bodies don't need clever AI - they need AI that's auditable, sovereign, multilingual, and explainable to a citizen, a journalist, or an auditor on the same day. AiSPRY ships exactly that.
Ministries that historically published static reports are now expected to operate live dashboards, answer citizen queries in regional languages, forecast inventory across districts, and defend every model decision in audit. AI's role has shifted accordingly.
Each capability below is shipped - not pitched. Mapped to functions every ministry, statistical authority, public utility, and public-funded education body actually runs.
One curated pipeline, two audiences. Simplified visualisations for citizens and journalists; drill-down analytical views for sector teams. Income, expenditure, CPI, GDP, employment - single source of truth.
Citizen-facing assistants grounded in official circulars, schemes, and regulations. Answers cite source documents - no hallucinated entitlements. Supports regional languages out of the box.
Vital-Essential-Desirable segmentation of drugs and consumables, ensemble forecasting per segment, and reorder-point UI tuned to the stakeholder's risk attitude. Built for district-hospital reality.
ML forecasting of major commodity prices - steel, aluminium, copper, crude derivatives - using global macro indicators. Feeds infrastructure budgeting and rolling procurement decisions for PPP and public-utility operators.
For public universities and central institutions - credit-bearing AI / GenAI / Agentic AI programs, capstone-led learning, with university LMS integration and industry-grade tooling.
Every model ships with explanation layers (SHAP, Grad-CAM, LRP) and full lineage logging. On-premise + air-gapped deployment options for ministries and defence-adjacent bodies.
Large datasets, real comparability rules, real ministerial scrutiny.
Citizen-facing dashboards, ministry-grade analytics, and AI workflows built to survive audit, RTI, and parliamentary review.
On-premise, VPC, or air-gapped - no mandatory data egress to foreign clouds. Procurement and DPDP teams aligned from day one.
Arabic, Hindi, regional Indic languages - not a translation layer bolted on, but trained-into the pipeline.
SHAP / Grad-CAM / LRP layered into outputs. RTI- and audit-defensible by design.
Statistical authorities live and die by methodology consistency. Our pipelines version the methodology, not just the data.
NCSI Oman, University of Hyderabad, GMR - used to ministerial timelines, audit cycles, and procurement reality.
Talk to AiSPRY about a citizen-services pilot, a sovereign dashboard rollout, or a sector-specific forecasting deployment. We start small, ship fast, and audit clean.