Australian clean energy software startup Gridcog has raised US$10 million in a Series A funding round to scale its platform for modelling and optimizing decentralized energy projects across international markets.

The round was backed by a group of strategic energy investors, including ABB Electrification Ventures, AXPO Ventures, DNV Ventures and Verbund Ventures. Gridcog plans to use the capital to deepen its technology platform while expanding its commercial, customer and product teams across Australia, the UK and Europe.

The investment comes as renewable energy developers increasingly need software capable of modelling more complex combinations of generation, storage and energy consumption before committing capital to projects.

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Modelling Decentralized Clean Energy Projects

Gridcog develops techno-economic modelling and simulation software that helps companies design, analyze and optimize decentralized clean energy projects.

Its platform allows businesses and project developers to assess different energy configurations and understand their potential technical and financial performance. The technology is designed to replace complex spreadsheet-based modelling with faster analysis that can support investment and development decisions.

As renewable energy systems become more distributed and interconnected, project developers must evaluate increasingly complex combinations of technologies and operating conditions. Gridcog is positioning its software as an infrastructure layer for making those decisions earlier in the development process.

The company has already attracted customers across the energy and infrastructure sectors, including Shell, Greenvolt, Perth Airport, AGL and Ausnet Services.

Strategic Investors Back Gridcog’s Technology

The Series A brings Gridcog together with investors that have direct exposure to the global energy transition, giving the startup strategic industry relationships alongside new growth capital.

Kaare Helle, Head of DNV Ventures, said Gridcog can reduce modelling work that traditionally takes weeks using spreadsheets to hours of faster and more transparent analysis.

That reduction in modelling time can help developers assess project economics earlier, allowing them to identify potentially bankable projects and make investment decisions with greater visibility into expected outcomes.

The platform addresses a growing challenge in the energy sector as the focus moves beyond simply installing renewable generation toward managing increasingly complex energy systems.

Solar, wind, batteries and other distributed energy resources need to operate within systems shaped by changing electricity demand, market conditions and infrastructure constraints. Software capable of modelling those interactions can help businesses evaluate projects before deployment and optimize their design.

Scaling Across Australia, the UK and Europe

Gridcog will use the Series A capital to continue developing its platform, adding more advanced functionality and analytical capabilities as customer requirements become more complex.

The company will also expand its commercial and product operations across its major markets in Australia, the UK and Europe, strengthening its ability to support customers developing decentralized energy projects in different regulatory and market environments.

The participation of ABB Electrification Ventures, AXPO Ventures, DNV Ventures and Verbund Ventures also gives Gridcog connections to established companies operating across different parts of the global energy industry.

With the new funding, Gridcog is entering its next phase of growth with a focus on turning increasingly complex energy project data into faster technical and commercial decisions. Its expansion strategy will center on scaling that modelling infrastructure as investment in decentralized clean energy systems continues across its core international markets.

AI-powered sales startup Enrola has raised US$2.1 million in Seed funding to expand its platform that helps consumer-facing businesses engage potential customers and convert leads into sales.

The round was led by Purpose Ventures, with participation from existing investors Antler, AfterWork Ventures, and Skalata.

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AI Agents for Consumer Sales

Founded in 2023 by Jo Thomas and Yvette Quinby, Enrola develops AI-powered sales agents designed for businesses selling higher-value products and services where customers typically require more information before making purchasing decisions.

The company’s AI agents communicate with potential customers through SMS, responding to inquiries within seconds and operating around the clock.

The agents can qualify leads, answer customer questions, address objections, schedule calls with sales teams, and, in some cases, complete sales directly through automated conversations.

Pivoting from Education to AI Sales Technology

The investment follows Enrola’s shift from its original education comparison platform toward developing AI-powered sales technology.

The company is targeting what CEO Jo Thomas describes as “high-consideration B2C” purchases, where customers generally spend more time researching, comparing options, and communicating with businesses before completing a transaction.

Enrola aims to help companies respond faster to these potential customers while reducing the amount of repetitive engagement handled manually by sales teams.

Preparing for the Future of AI Commerce

Thomas said consumer purchasing behavior is changing rapidly as AI becomes increasingly involved in how people discover, evaluate, and purchase products and services.

Enrola is developing its platform to support interactions across emerging buying environments, including future agent-to-human and agent-to-agent commerce, where personal AI assistants could interact directly with businesses’ AI sales systems.

Rather than focusing only on adding another communication channel, the company aims to build sales infrastructure that can adapt as consumer purchasing behavior evolves.

With the new Seed funding, Enrola plans to continue developing its AI agent technology and expand its platform for consumer-facing companies looking to automate customer engagement and improve sales conversion.

Australian medical robotics startup Vexev has raised US$6 million in new funding to advance its AI-powered vascular imaging technology and prepare for commercial expansion in the United States.

The latest investment brings Vexev’s total funding to US$19 million. The company plans to use the capital to pursue FDA 510(k) clearance and support the U.S. commercialization of its flagship VxWave medical imaging system.

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AI and Robotics for Vascular Imaging

Vexev is developing technology designed to make vascular imaging more accessible, consistent, and scalable, particularly as healthcare systems face shortages of specialist imaging professionals.

Its VxWave platform combines robotics, artificial intelligence, and ultrasound technology to automate vascular scanning and reduce dependence on specialist operators.

The system is initially being developed for imaging blood vessels in the upper limbs, with dialysis patients representing its first major clinical application because they frequently require vascular monitoring.

Clinical Study with U.S. Renal Care

Vexev recently completed a multi-site clinical study with U.S. Renal Care, a major dialysis provider in the United States, evaluating how VxWave could be integrated into routine dialysis clinic workflows.

During the study, the system achieved a 94% scanning success rate when operated by non-specialist clinical staff, providing early clinical evidence supporting its potential use in decentralized healthcare settings.

By automating the imaging process, Vexev aims to help healthcare providers obtain more consistent vascular scans while potentially accelerating the identification of vascular complications and subsequent clinical intervention.

Preparing for U.S. Commercialization

Vexev will use the new funding to advance its regulatory pathway toward FDA 510(k) clearance and prepare VxWave for commercialization in the U.S. healthcare market.

John Carroll, PhD, Co-founder and CEO of Vexev, said the company believes high-quality vascular imaging should be available wherever patients receive care rather than depending solely on specialist availability.

While dialysis vascular access represents Vexev’s initial focus, the company ultimately plans to develop VxWave into a broader autonomous imaging platform supporting clinical decision-making across vascular diseases.

Expanding Access to Medical Imaging

Vexev was founded by specialists in vascular fluid dynamics and computational imaging with the goal of combining medical robotics and AI to improve access to high-quality vascular diagnostics.

The company believes its automated approach could enable vascular imaging to be deployed across a wider range of healthcare settings while improving consistency and reducing reliance on specialist scanning expertise.