BRSR Core numbers an assessor will sign. Meter data at RDSS scale.
Two rails, one chassis: Saakshya for assessment-grade ESG evidence, and the Smart Meter Data Program for DISCOMs and AMISPs.
The Gap
Meter Data Without Analytics
DISCOMs are deploying millions of smart meters daily under RDSS. Interval data is flowing. But the analytics layer—AT&C loss quantification, theft and anomaly detection, billing efficiency tracking—is being built afterwards. BRSR filing deadlines approach without CORE numbers to report.
Challenge
Interval data at Kafka scale with no real-time analytics infrastructure
Regulatory
BRSR Core 3 & 4 require audited data. Manual aggregations don't cut it.
What We Build
Smart Meter Lakehouse
Streaming ingestion at Kafka scale. MDMS/HES integration. One source of truth for interval data.
AT&C Loss Analytics
Billing accuracy, technical loss quantification, theft anomaly detection with explainable scoring.
BRSR-Ready Dashboards
CORE 3 & 4 compliance. Energy intensity tracking. Audit-trail data lineage for assessor confidence.
Operational Efficiency
Real-time visibility into network losses. Predictive maintenance triggers. Demand forecasting by feeder.
Outcomes You'll See
AT&C Loss Visibility
Real-time quantification by feeder, zone, and circle. From spreadsheet lag to live alerts.
BRSR Compliance
CORE 3 & 4 data with audit trails. Reduce filing risk and assessor follow-ups by 80%.
Billing Efficiency
Automated anomaly detection and fraud flags. Revenue recovery acceleration.
O&M Economics
Predictive maintenance dashboards. Extend equipment lifecycle. Lower system downtime.