Tigo Energy Expands Predict+ for Utility Analytics as Platform Approaches 10X Annual Growth
Predict+ platform surpasses 140,000 meters under management globally, expands advanced feature set, and brings machine learning-powered energy consumption and production prediction to utilities in Europe and North America.
Tigo Energy, Inc. (NASDAQ: TYGO) (“Tigo”), a leading provider of intelligent solar and energy software solutions, today announced a set of powerful enhancements to the Predict+ platform that gives utilities deep insight into grid demand, renewable generation, and energy market dynamics. Designed to enhance the accuracy, scalability, and robustness of energy forecasting with up to 97.5% accuracy through machine learning and artificial intelligence, the platform leverages smart meter consumption data to predict precise grid production and consumption forecasts. Predict+ helps energy providers streamline operations, reduce volatility, and maximize performance. Since the first quarter of 2024, the Predict+ platform has grown from 15,000 to 140,000 meters under management and covers a total of 600 GWh of energy today.
Predict+ empowers utility operators to adapt to real-world demand challenges when balancing renewable and baseload generation sources, particularly during extreme weather events and market disruptions. The platform delivers actionable intelligence that improves load forecasting accuracy while reducing manual workload, with data intervals ranging from yearly, monthly, daily, and down to by-the-minute data resolution. Predict+ includes the following primary functional domains:
- Market Insights: an accurate view of the near-term energy market trends combined with customer-internal data in an easy to consume, customizable dashboard
- Customer Insights: a combination of market and cost data used to evaluate the financial impact of expanding into new markets or acquiring high-value customers
- Profit Analysis: predicts and documents actual revenues from end-customers with integrated billing and invoicing functions taking existing processes from days, down to minutes.
- Regulatory Support: automatically generates forecast plans and securely transmits the plans to regulatory agencies in select regions
“The Predict+ platform doesn't only allow our customers to lower operating costs and streamline workflows, it actually drives higher returns on investment and more resilient, intelligent renewable energy infrastructure,” said Zvi Alon, chief executive officer at Tigo Energy. “As Predict+ expands into Europe and North America, we are bringing machine learning to energy analytics and predictions to a new standard for energy forecasting. As energy generation becomes more diverse and markets become increasingly dynamic, Predict+ offers a competitive edge by bringing grid stability and true foresight to utility operators.”
Predict+ has the ability to quickly recalibrate demand and load forecasts in response to external disruptions—such as COVID-19 and extreme weather events—which gives grid operators a distinct competitive edge. Existing customers continue to validate the platform’s real-world value by expanding their usage, adding modules, and scaling capacity. Predict+ stands apart from traditional forecasting methods by leveraging advanced algorithms that reduce volatility, improve accuracy, and streamline operations, often outperforming legacy approaches like spreadsheets by up to 11%, with approximately 3% deviation from actual. By consistently delivering higher accuracy with reduced manual intervention, Predict+ has become a trusted solution for energy providers looking to optimize grid performance through forecasting.
To learn more about Predict+ or participate in a platform demonstration, contact the Tigo team here and select “Predict+ info/demo” in the subject menu.
About Tigo Energy
Founded in 2007, Tigo Energy, Inc. (Nasdaq: TYGO) is a worldwide leader in the development and provider of smart hardware and software solutions that enhance safety, increase energy yield, and lower operating costs of residential, commercial, and utility-scale solar systems. Tigo combines its Flex MLPE (Module Level Power Electronics) and solar optimizer technology with intelligent, cloud-based software capabilities for advanced energy monitoring and control. Tigo MLPE products maximize performance, enable real-time energy monitoring, and provide code-required rapid shutdown at the module level. The company also develops and manufactures products such as inverters and battery storage systems for the residential solar-plus-storage market. For more information, please visit www.tigoenergy.com.
View source version on businesswire.com: https://www.businesswire.com/news/home/20250210484457/en/
Subscribe to releases from Business Wire
Subscribe to all the latest releases from Business Wire by registering your e-mail address below. You can unsubscribe at any time.
Latest releases from Business Wire
Suzano Forms Partnership with Tencent and Ecofuturo Institute at COP30 for AI-Powered Conservation and Nature Education20.11.2025 18:25:00 CET | Press release
New agreement signed at COP30 will see organisations collaborating to use artificial intelligence tools for biodiversity monitoring and digital platforms to boost public engagement in conservation efforts. The world’s largest pulp supplier, Suzano, today announces the signing of a Memorandum of Understanding (MoU) with the multinational technology business Tencent and the Brazilian non-profit Ecofuturo Institute, to pioneer new digital approaches to drive public engagement in conservation. The collaboration will leverage Suzano’s expertise in sustainable forestry, Tencent’s cutting-edge digital technology, and Ecofuturo’s expertise in environmental education, to pilot joint initiatives in both Brazil and China. These include enhancing ecological awareness, accelerating biodiversity solutions, and leveraging digital platforms to foster public engagement in conservation. The partnership will result in a pilot project where advanced AI tools for species recognition developed by Tencent’s
EMVCo Working on How Global Specifications Can Support Agentic Payments20.11.2025 17:38:00 CET | Press release
EMVCo – the technical body that creates and manages EMV® Specifications and programmes that enable seamless and secure card-based payments worldwide – has announced that it is working on how global specifications can support innovation in agentic payment solutions by increasing trust and interoperability across the ecosystem. Agentic commerce is rapidly reshaping the shopping experience by enabling AI agents to act on the consumer’s behalf. This is driving significant momentum for agentic payments, which introduce AI agents as new actors that can initiate transactions with merchants – without requiring direct involvement from the consumer. While agentic payments have the potential to increase convenience and personalisation, they present unique considerations for how transactions are initiated, authenticated and secured. As industry adoption and innovation accelerate, a globally interoperable and scalable approach may be beneficial in realising trusted agentic payments for consumers, m
Université Paris-Saclay and Owkin: A Unique Alliance to Propel University Medical Research to the Top of the European Rankings Through AI20.11.2025 15:17:00 CET | Press release
Université Paris-Saclay and Owkin announce the signing of a memorandum of understanding to explore the potential of K Pro Free - Owkin’s AI co-pilot for biology - for use by Paris-Saclay. This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20251120130113/en/ K Pro Free will now be available to the entire Université Paris-Saclay community, and in particular teachers, researchers and doctoral students working in the biomedical sciences. The partnership includes workshops, training sessions and events designed to promote the discovery and adoption of K Pro Free, as well as the co-organization of communication and dissemination initiatives around the use of AI in health. In this way, the partnership will promote user training, but also enrich and continuously improve the co-pilot's models through feedback and use cases from the l’Université Paris-Saclay community. This partnership is part of Université Paris-Saclay’s strategy to integr
Frasca Advances Flight Training Technology with New Visual System Powered by Unreal Engine20.11.2025 15:05:00 CET | Press release
Frasca International, Inc., a FlightSafety International company and leader in flight simulation, today announced the launch of VITAL FVS 100, the next evolution of its visual system technology. Building on the proven TruVision Global platform, VITAL FVS 100 was developed using Epic Games’ Unreal Engine and delivers unprecedented realism, scalability, and innovation in pilot training. The Unreal-powered VITAL FVS 100 system introduces major advancements in visual fidelity and training realism, further enhancing the capabilities of Frasca, a leading developer of flight simulators and training devices. The new system includes physically based renderings, advanced lighting effects, and a new volumetric cloud model that creates dynamic, weather-rich environments. Terrain imagery now includes one-meter resolution coverage for the contiguous United States and Hawaii, with expanded global datasets covering European buildings and tree covered regions. Additionally, enhanced particle effects re
GigaOm Radar for Vector Databases v3 Positions Vespa.ai as a Leader and Outperformer20.11.2025 15:00:00 CET | Press release
Vespa Recognized for Integrated Ranking, Multimodal Search, and Production-Scale AI Performance Vespa.ai, the creator of the AI Search Platform for building and deploying large-scale, real-time AI applications powered by big data, today announced its recognition as a Leader and Outperformer in the GigaOm Radar for Vector Databases v3, marking the company’s third consecutive year being evaluated in GigaOm’s vector database research. Now in its third edition, the report compares 17 leading open source and commercial solutions using GigaOm’s structured evaluation framework. In addition to core table-stakes capabilities, the Radar reviews each vendor’s key features, emerging strengths, and broader business criteria. The shift from Sonar to Radar reflects the technology’s transition into mainstream adoption. GigaOm names Vespa.ai a leader for its ability to manage complex data, optimize results at scale, and support multimodal AI workloads. The report highlights Vespa’s native tensor suppor
In our pressroom you can read all our latest releases, find our press contacts, images, documents and other relevant information about us.
Visit our pressroom