We propose to build a Meter Data Management (MDM) Platform for HPL Electric & Power -
a production-ready, RDSS-compliant system that collects, validates, and manages smart meter data.
The platform includes a VEE engine, operations dashboards, standard reporting, and a field operations mobile app.
This is a fixed-cost turnkey engagement. We build it, we hand it over - complete with source code, documentation, and training.
HPL owns the platform outright.
250M+
Smart Meters Target by 2026
100%
RDSS Compliant
16 Weeks
Phase 1 Timeline
Fixed Cost
Turnkey Delivery
Phase 1 Scope
Core MDM platform: VEE engine, data management, standard reporting, tamper alerts, operations dashboards, field app, and HES integration. Fixed-cost delivery with full handover.
Your AMI Stack Today
HPL Smart Meters + HPL Head End System + HPL Mobile App. Missing: MDM - the intelligence layer.
No in-house MDM - DISCOMs must source MDM separately
Incomplete offering - Competitors like Genus offer end-to-end solutions
Regulatory pressure - 100% local content mandate from Jan 2025 for MDM/HES
Lost upsell opportunity - Third-party MDM captures ongoing revenue
Integration complexity - DISCOMs struggle with multi-vendor AMI stacks
✓ What MDM Completes for HPL
Full AMI stack - Meters + HES + MDM = Complete solution
Single vendor advantage - DISCOMs prefer integrated offerings
Recurring revenue - AMC and license fees from MDM
Competitive parity - Match Genus Power's full-stack capability
Value addition - Advanced analytics differentiate HPL's offering
★ Competitive Landscape
Capability
HPL Electric (Today)
HPL Electric (With MDM)
Genus Power
Secure Meters
Smart Meters
✓
✓
✓
✓
Head End System (HES)
✓
✓
✓
✓
MDM Platform
✗
✓
✓
✓
Mobile App
✓
✓
✓
✓
Advanced Analytics
✗
Phase 2
Limited
Limited
Consumer App
✗
Phase 3
✓
Limited
Full AMISP Ready
✗
✓
✓
✓
03
Our Solution: MDM Platform
We will build a complete Meter Data Management platform tailored to Indian smart metering
requirements, fully compliant with RDSS specifications, and designed to integrate seamlessly with HPL's
existing HES. The platform delivers comprehensive data management, validation, analytics, and reporting
capabilities that DISCOMs need for effective smart meter operations.
HPL HES Connector - Native integration with your HES
REST APIs - Standard APIs for third-party systems
Billing Integration - Push data to billing systems
CRM Integration - Customer data synchronization
SCADA/DMS - Grid operations data exchange
Mobile SDK - Extend to HPL mobile app
04
How It Works
The MDM platform sits between HPL's Head End System and downstream applications, transforming raw meter
data into validated, enriched, and actionable information.
1
Data Ingestion
HES pushes meter readings, events, and alarms to MDM via secure APIs
2
VEE Processing
Data is validated, estimated (if missing), and edited per business rules
3
Data Aggregation
Data aggregated for reporting, trends analyzed, exceptions flagged
4
Action & Delivery
Alerts triggered, reports generated, data pushed to billing/CRM
Result: DISCOMs get validated, enriched meter data ready for billing, analytics, and regulatory reporting - all from HPL's integrated AMI stack.
05
Deployment Options
The MDM platform can be deployed based on DISCOM requirements and HPL's go-to-market strategy:
☁ Cloud (SaaS)
Best for: Quick deployment, multi-DISCOM hosting
Hosted on AWS/Azure/GCP India regions
Trinesis manages infrastructure
Infrastructure updates & security patches
Automatic scaling as needed
99.9% SLA uptime
🏢 On-Premise
Best for: DISCOMs with data sovereignty requirements
Deployed in DISCOM's data center
Complete data control
One-time setup cost + AMC
Local team training included
🛡 Hybrid
Best for: Sensitive data on-prem, analytics in cloud
Core MDM on-premise
Analytics layer in cloud
Secure data pipeline
Best of both worlds
06
Phase 1 Implementation Timeline
Phase 1: Core MDM Platform - 16 Weeks
3
Discovery & Design
6
Core Development
3
HES Integration
2
Testing & UAT
2
Deployment & Training
Phase 1: Discovery & Design
Weeks 1-3
✓ Requirements workshop with HPL team
✓ HES API documentation review
✓ System architecture finalization
✓ UI/UX wireframes and approval
✓ Data model design
✓ Project plan sign-off
Phase 2: Core Development
Weeks 4-9
✓ VEE engine development
✓ Data ingestion pipeline
✓ Reporting modules
✓ Standard analytics & trends
✓ User management & RBAC
✓ Dashboard development
Phase 3: HES Integration
Weeks 10-12
✓ HPL HES connector development
✓ Data sync testing
✓ Event & alarm integration
✓ Mobile app SDK (optional)
Phase 4: Testing, Deployment & Training
Weeks 13-16
✓ System testing & QA
✓ User Acceptance Testing (UAT)
✓ Production deployment
✓ Admin & user training
✓ Documentation handover
✓ Go-live support
07
Why Trinesis
🎯 Enterprise Software Experts
We specialize in building high-performance, scalable enterprise platforms. Our expertise spans real-time data processing, complex integrations, role-based dashboards, and mission-critical applications.
🛠 Proven Technology
Our MDM platform is built on proven enterprise architecture with robust data processing, analytics, and reporting capabilities designed for utility-scale deployments.
👥 80+ Engineers
Dedicated team with expertise in enterprise software, cloud architecture, and energy domain. Based in Pune with 20,000 sq ft innovation center.
💼 Partnership Approach
We're not just building software - we're helping HPL capture a strategic market opportunity. Your success with MDM is our success.
📈 Value to HPL
✓
Complete AMI Stack
✓
Competitive Parity with Genus
✓
Recurring MDM Revenue
✓
Future AI Upgrade Path
08
How We Build
We follow an Agile development methodology with milestone-based delivery, continuous testing, and regular deployments.
This ensures transparency, early feedback, and a production-ready platform at each stage.
📅
Agile Sprints
2-week development sprints with clear goals and deliverables
🎯
Milestone Delivery
Defined milestones with demos and sign-offs at each phase
🔎
Continuous Testing
Automated testing at every stage - unit, integration, and UAT
🚀
CI/CD Pipeline
Continuous integration and deployment to staging environment
What You Get at Each Milestone
✅ Working Software
Deployable features you can see and test - not just documents
✅ Demo & Review
Walkthrough of completed features with HPL team for feedback
✅ Progress Report
Clear status on what's done, what's next, and any blockers
Detailed walkthrough of architecture & HES integration
3
Scope & Commercial
Finalize scope, timeline, and investment
4
Kick Off
Sign agreement and begin Phase 1
Scheduled Discussion
We've scheduled our next call for Friday, February 14, 2026 at 3:00 PM IST to discuss this proposal in detail.
10
Terms & Conditions
Scope: This proposal covers Phase 1: Core MDM Platform only. Phase 2 (Advanced Analytics) and Phase 3 (Consumer Apps) are separate future engagements. Infrastructure (cloud or on-premise servers) to be provided by HPL or billed separately.
Timeline: 16 weeks from project kickoff. Timeline assumes timely feedback, access to HES APIs, and availability of HPL technical team.
Delivery: Fixed-cost turnkey project. Complete platform handover to HPL with full source code, documentation, and training.
Warranty: 1 year software warranty including bug fixes and minor enhancements.
AMC: Annual Maintenance Contract at 20% of project value from Year 2 onwards.
Payment: Milestone-based payment schedule (60% on project kickoff, 30% on deployment ready at Week 14, 10% on go-live & handover at Week 16).
IP: Full IP ownership transfers to HPL upon project completion. HPL owns the platform outright.
Validity: This proposal is valid for 30 days from the date of issue.
🔒
Confidentiality Agreement
This document and all accompanying materials are the confidential and proprietary property of Trinesis Technologies Pvt. Ltd.
This proposal is shared exclusively with HPL Electric & Power Limited for the sole purpose of evaluating the MDM Platform solution. The recipient agrees to:
Not disclose, distribute, or share any part of this document with third parties without prior written consent from Trinesis Technologies.
Use the information contained herein solely for the purpose of evaluating and implementing the proposed solution.
Not reverse-engineer, replicate, or use the technical designs, AI methodologies, or proprietary processes described in this proposal.
Return or destroy all copies of this document upon request or if the proposal is not accepted.
Any unauthorized use, reproduction, or distribution of this document may result in legal action under applicable Indian intellectual property and confidentiality laws.