TAR raises $120 million to scale autonomous power systems for AI
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TAR raises $120 million to scale autonomous power systems for AI

TAR has successfully raised $120 million in a Series A funding round to expand its autonomous power supply systems for data centers utilizing artificial intelligence. The funding was led by Spark Capital at a post-money valuation of $1 billion. The Austin-based company plans to increase both its headquarters and engineering office in San Francisco, as well as boost manufacturing and logistics capacity in West Texas.

TAR was founded in 2026 by Pat Becker and Leonhard Zonk. The company targets one of the most significant problems in AI infrastructure—limited power availability, which is becoming a serious obstacle to expanding AI computing power. Existing queues for grid connection can take years, and transmission limitations and local opposition create additional barriers for large energy projects.

TAR offers an alternative approach by developing modular systems that combine renewable energy generation with energy storage systems. These systems are specifically designed for large-scale AI computing facilities. The company builds the infrastructure in West Texas, allowing it to provide dedicated power without competing for local grid resources.

The company controls the entire energy deployment process: from site selection and design to procurement, logistics, construction, commissioning, and subsequent operation. This vertically integrated approach reduces reliance on numerous external contractors. TAR claims that its deployment automation stack can accelerate the construction of energy facilities, reducing the need for field labor as deployment scales up.

The TAR team combines expertise in the energy sector with robotics expertise; employees previously worked at companies such as Hut 8, AES, Vistra, and Lucid Motors, while other team members have experience at Zipline and GrayMatter Robotics. The company is currently executing a large-scale deployment for a major cloud service provider and developing a specialized project campus for future needs. In West Texas, TAR is completing the TAR Terminal One facility, which will function as a logistics and manufacturing hub.

The new funding will allow these projects to accelerate and expand TAR's operational capabilities. The company aims to deploy energy infrastructure in parallel with the growing demand for AI computing power. Co-founder Pat Becker stated that the energy industry needs a different deployment model, as gigawatt-scale projects require more control throughout the development chain. Co-founder Lenny Zonk also highlighted the growing customer demand, and the company intends to increase its supply to alleviate the energy shortage limiting computing expansion.

TAR plans to allocate the raised funds to develop several areas, including engineering, robotics, energy systems, and supply chain operations. Additionally, the company is hiring staff in Austin and San Francisco for roles such as project manager, operations specialist, and technical engineer.

Spark Capital views energy availability as a critical constraint on AI growth, believing that faster energy deployment can unlock additional computing power. TAR's approach could potentially shorten one of the longest lead times in data center development. Unlike traditional projects dependent on available generation and utility capacity, autonomous systems place generation and storage closer to the computing facility, giving AI operators greater control over how the energy infrastructure is deployed.

The company has not yet disclosed information about additional investors participating in the Series A round. The $1 billion valuation reflects growing investor interest in AI infrastructure as computing demand rises and access to reliable electricity remains limited.

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Wint raises $36 million to expand AI-based smart water management platform
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Wint raises $36 million to expand AI-based smart water management platform

Wint has successfully raised $36 million in a Series D funding round. These funds are intended to accelerate the company's product development and expansion into new global markets. The round was co-led by LIP Ventures and Inven Capital. The company did not disclose its valuation following this financing.

This recent round follows a successful $35 million raise in Series C in 2023, which was also a joint venture between Inven Capital and Insight Partners. Furthermore, in 2022, Wint secured $15 million in Series B, led by Insight Partners.

The company's platform is aimed at building owners, contractors, insurance companies, and facility operators. It integrates connected hardware with AI-powered water monitoring systems. Unlike traditional water management methods, which often rely on meters and scheduled inspections, as well as basic sensors that detect leaks after the fact, Wint employs a more continuous approach.

The system analyzes water flow within buildings in real time using a combination of connected meters, valves, and control units. AI models are trained on data regarding normal water behavior across various building systems, utilizing tens of millions of hours of water consumption data, including domestic water supply systems, HVAC circuits, and cooling towers.

The technology is capable of identifying unusual patterns that indicate potential issues such as micro-cracks, pipe bursts, toilet jamming, or equipment failures. When necessary, the system can automatically notify operators and close relevant valves. Control units can make decisions locally without relying entirely on a cloud connection, which is particularly important for critical facilities like hospitals, data centers, and other infrastructure requiring continuous operation.

Wint is also developing broader applications for its smart water management platform. The Water Insights technology analyzes consumption patterns over longer periods, helping to identify sustainable overuse and operational inefficiencies. The system can also detect equipment problems before they lead to costly breakdowns. The company has expanded these capabilities with AI-based water temperature analysis; its boiler health analyzer studies temperature and water flow data, allowing it to detect overheating, underheating, and insufficient boiler power, thereby extending Wint's role beyond simple leak prevention. Ultimately, the platform can become part of a broader 'smart building' infrastructure.

Smart water management has significant financial implications for property owners and insurers, as leaks can cause property damage, business interruptions, and expensive insurance claims. Wint has entered into partnerships in the insurance sector to mitigate these risks. HSB, a subsidiary of Munich Re, is collaborating with the company to implement this technology. According to Munich Re, construction sites protected by Wint's technologies recorded fewer water-related claims: the company reported a 73% reduction in claims and a 90% decrease in payouts.

Wint started 2026 with significant commercial momentum. By the end of 2025, over 30,000 systems had been sold, and the customer base grew by more than 40%, reaching nearly 600 enterprises. During 2025, the technology supported over 1,500 facilities. The company reported saving 1.15 billion gallons of water in one year and preventing over 1,300 water damage incidents, which the company estimated represented potential losses of $100 million. It should be noted that these figures are provided by the company itself and have not undergone independent audit. The new funding will provide Wint with additional resources for product development and market expansion, further strengthening the company's commitment to making water infrastructure smarter.

Forus raises $150 million at a $3 billion valuation to expand its AI-based medical solutions network
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Forus raises $150 million at a $3 billion valuation to expand its AI-based medical solutions network

Forus has successfully raised $150 million in a Series C funding round. The round was led by the investment fund Bain Capital Ventures, with participation from existing investors who provided additional support. Other participants in the round included Thrive Capital, General Catalyst, Accel, Redpoint, BoxGroup, Pear VC, Vast Ventures, and SV Angel.

This funding values Forus at $3 billion, representing a threefold increase from its previous valuation. As a result of this round, the total amount of funds received by Forus exceeds $300 million. Bain Capital Ventures has supported the company since its seed round.

Forus is developing an artificial intelligence-based network designed to improve access to medicines. Its platform connects doctors, pharmacies, payers, and biopharmaceutical companies. The company plans to use the raised funds to scale its platform nationwide and increase investments in technology and talent.

Forus utilizes AI agents to manage the process after physicians prescribe medication. These agents navigate insurance requirements and financial assistance programs, as well as coordinate processes in pharmacies and supply chains. Each prescription is processed by a separate AI agent that analyzes patient information before determining the next necessary step, relying on clinical models and specialized sub-agents. The company's technology is trained on data from millions of past cases.

The primary goal of the platform is to reduce delays between prescribing treatment and receiving it. This should enable doctors to prescribe newer medications with greater confidence. It is noted that one in three patients prescribed expensive or complex drugs never receives the first dose.

Forus aims to eliminate these obstacles through workflow automation. Meanwhile, the service remains free for both providers and patients. Currently, the platform supports providers in all 50 US states and covers 85% of US zip codes. The company intends to move beyond its initial specialization and begin working in additional areas of medicine. More than a third of providers in the US have already implemented the platform in their primary area of specialization, and adoption is growing in several other areas.

The company plans to expand the scope of its AI agents so they cover most of the treatment journey, including processes beyond simple prescription fulfillment. Forus is also collaborating with pharmaceutical and biotechnology firms. The company currently engages with nine out of the fifteen largest global biopharmaceutical companies and supports a number of fast-growing biotech enterprises. These partnerships give Forus insight into the barriers affecting patients and doctors, allowing the company to improve access to care and link drug development with real-world treatment experience.

The new investment provides Forus with significant capital for the next phase of growth. CEO Sahir Jaggi stated the company's ambition to implement its platform in every physician's clinic in the US. Forus believes that the pace of medical advancement is constantly accelerating, yet patients can still face difficulties accessing new treatments. The company aims to close this gap through AI-driven coordination that connects multiple parties in the drug delivery process.

Investor Bain Capital Ventures views Forus as becoming an important infrastructure platform in healthcare. The latest funding also highlights the growing investor interest in healthcare automation. Companies using AI are increasingly focusing on overcoming administrative barriers in medical care. Moving forward, Forus will focus on expanding technology and workforce, as well as increasing coverage across medical specialties and care settings.

HiddenLayer raises $100 million to expand AI security platform
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HiddenLayer raises $100 million to expand AI security platform

HiddenLayer, a company specializing in artificial intelligence security, has successfully closed a Series B funding round, raising $100 million. The leadership of this round included Delta-v Capital, with participation from Ten Eleven Ventures, Morgan Stanley, M12, and Booz Allen Ventures. The fundraising occurred amid a significant surge in demand for AI security solutions.

Over the past year, HiddenLayer's annual recurring revenue has increased more than tenfold, and the company has also acquired over 50 new clients. These clients operate in sectors such as financial services, healthcare, government, technology, and defense industry.

The HiddenLayer platform is designed to support organizations implementing generative, predictive, and agentic AI systems. The system provides protection for AI applications throughout their entire lifecycle. The capital raised will be used to expand the enterprise platform and strengthen sales and distribution channels.

HiddenLayer is scaling its platform as enterprises begin to utilize autonomous AI agents. These systems are capable of making decisions independently and interacting with external tools. The company's Agentic Runtime Security feature allows for monitoring AI behavior during operation, enabling the detection of unauthorized actions, tool misuse, and manipulation.

Furthermore, the Agent Harness Security feature was introduced, which extends runtime protection to autonomous coding agents. These agents can write, test, and release software with minimal human involvement, creating additional risks for development teams in the corporate sector.

HiddenLayer believes that traditional security tools cannot handle these risks alone. AI systems can be threatened through poisoned models, malicious inputs, and prompt injections. Therefore, the company has focused its efforts on creating security specifically designed for AI environments. The platform integrates threat detection, attack simulation, supply chain security, and runtime security.

HiddenLayer's security capabilities are backed by an extensive AI research program. The company's researchers hold 39 granted patents and 65 pending patents related to AI threat analysis, model protection, and adversarial attack detection. The team has also developed a comprehensive Adversarial Prompt Engineering Taxonomy, continuing to identify vulnerabilities in the AI ecosystem. Research covers foundational models, AI tools, and auxiliary infrastructure.

HiddenLayer is also involved in industry initiatives concerning AI governance and security. Its researchers collaborate with organizations such as CISA, MITRE, NIST, OWASP, and OpenSSF. These joint efforts contribute to improving red teaming practices and overall AI security.

The new funding will serve as a foundation for the company's next phase of commercial growth. HiddenLayer recently appointed Mike Gesnaldo as Chief Revenue Officer. The company also plans to strengthen partnerships with sales channels and expand its international operations. Key expansion targets are Europe and the broader EMEA region.

HiddenLayer anticipates continued growth in enterprise demand for AI security. The company already serves clients in several highly regulated industries, including banking, insurance, pharmaceuticals, and government. One leading provider of frontier models also uses HiddenLayer technology, reportedly serving over 700 million users weekly.

The growth in HiddenLayer's client base reflects growing enterprise concern over AI security issues. The company's platform aims to help organizations adopt AI with greater confidence. The company forecasts that autonomous systems will become increasingly significant in business processes, which in turn will create additional demand for specialized AI security tools. HiddenLayer will now focus on scaling its platform in parallel with the rapid advancement of artificial intelligence, asserting that its research helps enterprises respond to emerging threats, with a particular focus on protecting AI systems during real deployment.

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