India's Largest Private Solar Park Developer
Jaipur, Rajasthan
Capabilities & Solution Overview
February 2026
Confidential
Prepared for
Samridhi Prakash
Business Analyst
Prepared by
Trinesis Technologies Pvt. Ltd.
Rays Power Experts operates 1,400+ MW of solar capacity across 7-10 locations with 400-500 inverters. Currently, your operations rely on third-party data loggers that provide basic dashboards without intelligent analytics. We present FluxAI - an on-premise or private cloud AI-powered solar intelligence platform that will unify your distributed solar data, eliminate third-party dependencies, and deliver predictive intelligence to maximize generation efficiency and minimize downtime.
The FluxAI Edge Server is a purpose-built industrial computing device that sits at your solar site and connects directly to your inverters. It eliminates the need for third-party data loggers by establishing direct communication with Sungrow, Wattpowers, and other inverter brands via industry-standard Modbus protocol.
Unlike simple data loggers, the FluxAI Edge Server performs intelligent edge processing - validating data, detecting anomalies locally, and buffering information during network outages. Your data never touches external clouds.
Connects to 32-64 inverters per unit via RS485/Modbus. No third-party logger required.
Performs local data validation, anomaly detection, and aggregation before transmission.
Buffers up to 14 days of data locally. Auto-syncs when connectivity is restored.
Pre-configured for Sungrow, Wattpowers, Huawei, and other major inverter brands.
FluxAI Edge Servers connect directly to inverters via RS485/Modbus, bypassing third-party loggers
All sites, inverters, strings consolidated into single data layer on your servers
FluxAI analyzes patterns, detects anomalies, predicts faults before they occur
Dashboard shows solar-hour performance, efficiency metrics, actionable recommendations
Connect with Zoho, trigger alerts, generate reports - all automated
Understand peak vs off-peak generation patterns. Compare morning, noon, and evening performance across sites.
AI learns relationship between irradiance and generation to detect underperforming panels and strings.
Monitor panel degradation over time. Predict when cleaning or replacement is needed.
The FluxAI Solar Intelligence Platform is a complete solution covering hardware, software, integration, and support. Here's the full specification of what you receive:
FluxAI platform purpose-built for manufacturing and industrial operations since 2018
Your data stays on your infrastructure. Complete privacy and security.
Experience connecting diverse data sources - PLCs, IoT, ERPs, and more
Dedicated R&D team. Ongoing platform enhancements. Long-term partnership.
We have successfully implemented similar data collection and integration solutions for industrial clients, including direct connectivity to manufacturing equipment bypassing legacy monitoring systems. Our approach addresses exactly the challenges you described - eliminating third-party dependencies while building intelligent analytics on your own infrastructure.
We follow a structured engagement process to ensure clarity, alignment, and successful delivery. Here's how we'll work together:
Technical deep-dive, site assessment, requirements gathering
Detailed scope, specifications, investment, and timeline
Proposal review, clarifications, and formal acceptance
Agreement signing, NDA, project kickoff
Single site implementation, validation, training
Rollout to remaining sites, enterprise deployment
Technical deep-dive with our engineering team. We'll discuss inverter connectivity options, assess your current infrastructure, and answer technical questions.
On-site assessment at one pilot location. We'll inspect inverter installations, control rooms, network infrastructure, and document requirements.
Complete proposal with exact specifications, investment breakdown, timeline, payment terms, and deliverables for pilot phase.
Deep-dive with our engineering team on inverter connectivity, data collection approach, and infrastructure requirements
Identify one site with mix of Sungrow and Wattpowers inverters for initial deployment (40-50 inverters ideal)
Share inverter model numbers, site layouts, current data samples for our team to prepare technical proposal