
Connecting Energy Grids from Edge to Cloud.
Intellastar combines hardware, software, and cloud to deliver real-time energy insights and predictive control—helping you cut costs and stay ahead of grid changes.
Energy Orchestration in a Box

Devices & Gateways
Deploy anywhere. The T-Star platform connects legacy and modern systems with certified, plug-and-play I/O.

Connectivity
Always on. Dual-SIM LTE, Wi-Fi, and Ethernet ensure resilient, real-time communication from edge to cloud.

Software
Smarter decisions, faster. Energy Analyst and SkySpark deliver live KPIs, fault detection, and control.

Cloud
See the future. AI-driven forecasting and pricing signals optimize every site and every kilowatt.
Software
Intellastar's Energy Analyst
Energy Analyst from Intellastar is a next-generation energy management platform that connects data, insights, and action—from the edge to the cloud. Built for facility and energy managers, it delivers real-time visibility, predictive analytics, and automated control across your entire energy ecosystem. Whether you're optimizing costs, responding to grid signals, or proving ROI, Energy Analyst empowers you to lead with data.
- ✓ Rollup metrics across 1 to 10,000 sites
- ✓ Track energy savings and ROI with ECM validation
- ✓ Forecast peak demand and automate grid participation
- ✓ Identify load trends and inefficiencies at any scale
- ✓ Integrate tariffs and market pricing for cost strategy
- ✓ Visualize solar, net-zero, and GHG performance
- ✓ Navigate with customizable dashboards and maps
- ✓ Leverage SkySpark® analytics and fault detection







MicroGrid Controller
T-Star 350
The T-Star 350 combines flexible I/O with secure, edge-based control for real-time energy management. With EdgeVisor, you gain centralized visibility and fleet-wide device management—making it easy to scale, monitor, and maintain your distributed energy assets.
- ✔ Real-time energy management with SkySpark® analytics
- ✔ Secure, redundant connectivity (Dual SIM LTE, WiFi, Ethernet)
- ✔ TPM 2.0, Secure Boot, and CE/FCC/PTCRB certified
- ✔ Integrates DERs, BMS, and IoT assets into a unified control layer
- ✔ Edge-driven automation for demand response and microgrid coordination

Support & Services
Intellastar's Energy Analyst
With over a decade of SkySpark experience and cross-industry expertise, Intellastar delivers end-to-end support—from initial design to full deployment. Our team brings deep knowledge in cloud infrastructure, energy systems, IoT, data modeling, and market operations to help you build scalable, high-performance solutions that deliver lasting impact.
- ✓ System architecture for large-scale, connected energy networks
- ✓ Haystack and Xeto tagging support for clean, interoperable data models
- ✓ Custom development and integration with OEM hardware and software
- ✓ Secure cloud hosting, licensing, and managed infrastructure
- ✓ AI/ML analytics modeling and deployment at the edge
- ✓ Cellular connectivity setup and remote device orchestration
- ✓ Training workshops, onboarding, and long-term technical support
- ✓ Project consulting for compliance, optimization, and market participation
Data Acquisition
Networking & Connectivity
The T-Star family of controllers is engineered with flexible I/O and robust network options to support diverse energy and automation systems. Whether integrating with building equipment or managing remote microgrids, T-Star devices provide secure, scalable connectivity—at the edge and beyond.
- ✓ 4 digital inputs and 4 digital outputs for equipment status and control
- ✓ Dual RS-232/422/485 ports for serial device communication
- ✓ Dual 10/100/1000 Mbps Ethernet ports for LAN/WAN routing
- ✓ USB 2.0, HDMI, and mSATA expansion for flexible integration
- ✓ Dual-SIM cellular with private APN support for secure, isolated access
- ✓ WiFi and Bluetooth for local and wireless device pairing
- ✓ ArcBeam protocol enables secure, low-overhead communication over cellular
- ✓ Compatible with Modbus, BACnet, CAN 2.0AB, and other industrial protocolsn

Our value can be measured

1 Million +
Real-time data points

Edge devices deployed

IoT experience