Lithium‑ion battery deployment is scaling rapidly across stationary storage and mobility, creating greater exposure to safety failures, underperformance, and premature degradation. Operators, insurers, and financiers increasingly require independent analytics to predict and prevent issues and optimise asset value.

Accure provides a battery intelligence platform that analyzes real‑time BMS data to detect safety risks, improve performance, and extend battery lifetimes. Its unified software offers capabilities such as failure prediction, lifetime modelling, and state‑of‑charge correction, delivering measurable efficiency gains for utility‑scale storage and mobility customers.

Accure improves the safety, reliability, and longevity of lithium‑ion batteries, enabling faster adoption of renewable energy and electric mobility while reducing operating costs and material waste.

Electricity markets depend on accurate demand and generation forecasts to determine how much power to produce, purchase, and deliver. Rising intermittent renewable generation, climate change-driven weather volatility, and evolving demand factors (e.g., EV charging, rooftop solar) are increasing both the complexity and cost of forecast errors. Traditional, often spreadsheet-based, forecasting methods struggle to capture these dynamic conditions, exposing energy providers to sudden price volatility and undue market risk.

Amperon provides electricity demand, renewable generation, and price forecasts to power producers, utilities, and energy retailers. It leverages proprietary machine learning models trained on grid, smart meter, and weather data to deliver forecasts that consistently outperform independent system operator benchmarks. By improving forecast accuracy across time horizons and system levels, Amperon enables more efficient renewable integration and reduces exposure to wholesale market volatility that otherwise would drive up costs for consumers.

Amperon’s forecasts mitigate the reliability challenges of weather-dependent power, making it easier for grids to integrate renewable capacity.

Fleet electrification is accelerating but remains limited by fragmented charging infrastructure, variable charging prices, and complex operational requirements. As fleets scale electric vehicles, they need intelligence that links routing, charging, battery state, and operational constraints. With demand for electric vans and light commercial vehicles expected to grow sharply through 2030, Chargetrip is positioned to become the core optimisation layer that enables cost‑efficient and reliable fleet electrification.

Chargetrip provides an API‑based routing and charging optimization platform for electric mobility. Its technology predicts energy consumption for any EV on any route and factors in charger availability, speed, pricing, weather, traffic, and elevation. The platform serves OEMs, charge point operators, energy providers, and fleet managers, enabling accurate range prediction, real‑time insights, charging orchestration, and fleet simulation.

Chargetrip improves the efficiency, reliability, and economics of electric fleets, reducing operational emissions and accelerating the transition to sustainable transportation. By enabling better route planning, optimised charging, and informed fleet investment decisions, it supports the broader shift to cleaner, more resilient urban mobility systems

Traditional home insurers rely on historical loss data to underwrite wildfire risk. But as climate change fundamentally alters wildfire behavior, historical loss data is becoming a less reliable predictor of future risk. As a result, legacy insurers are experiencing elevated wildfire losses and are pulling back from wildfire-prone markets, leaving many homeowners with limited or no coverage options.

Delos provides homeowners insurance in wildfire-exposed markets where many legacy carriers have pulled back. It leverages proprietary machine learning models built on satellite imagery, weather and climate data, and property characteristics to evaluate wildfire risk at the individual home level. This approach enables Delos to profitably expand coverage in supply-constrained regions while maintaining a market-leading loss ratio.

Delos has provided insurance to tens of thousands of homeowners who have been denied coverage by other insurers due to perceived wildfire risk.

Rapid EV adoption depends on accessible, reliable, and affordable fast charging. But, fast chargers can take years to deploy due to utility interconnection delays, constraining network expansion. Once operational, many sites experience uptime and reliability challenges stemming from fragmented, multi-vendor hardware and software stacks. At the same time, high demand charges can increase effective charging costs for drivers, undermining affordability.

Electric Era sells battery-buffered EV fast chargers to fuel retailers and convenience stores. Its integrated battery system shortens deployment times and avoids costly grid upgrades, while also lowering the total cost of ownership through demand charge savings. The company’s core software stack – spanning energy management, charger and battery management, fault detection, and payments and screen control – drives industry-leading session reliability and uptime. Electric Era is now adding retail extension offerings like membership verification, loyalty program integration, and POS capabilities, to help retailers convert charging visits into repeat, high-value in-store transactions.

Since inception, Electric Era has delivered multiple GWh of energy across tens of thousands of charging sessions to drivers.

The US energy industry has undergone a structural shift: solar and storage now account for the majority of new capacity added to the grid. It is building 50 times more projects today than it did 20 years ago but the operational infrastructure supporting project execution has lagged behind. As a result, many projects face delays or outright cancellation as workflows remain fragmented across manual processes and siloed stakeholders. This ‘operational chaos’ increases soft costs, slows deployment timelines, and elevates execution risk, weighing on future growth.

Euclid provides project management solutions to renewable energy developers, investors, and operators across every stage of the project lifecycle. Its team of subject matter experts acts as a technical and operational extension of client teams, but uses purpose-built software to automate how they organise and track the high volume of data and documents that typically slow projects down. This tech-enabled services model accelerates project timelines while establishing a definitive system of record and reducing project risks.

Since inception, Euclid has helped accelerate over 12 GW of renewable energy across more than 1,000 projects.

Demand for biological crop solutions is increasing as fertiliser prices rise and consumers push for more sustainable agricultural practices. Climate change is intensifying droughts and yield volatility, and growing global food needs are putting pressure on farmers to produce more with fewer inputs. GroundWork meets these challenges with mycorrhizal based biofertilisers that boost nutrient uptake, improve resilience in harsh conditions, and reduce reliance on synthetic fertilisers.

GroundWork develops Rootella, a high concentration mycorrhizal inoculant that forms a symbiotic relationship with plant roots, improves nutrient absorption, increases yields and reduces fertiliser use. The company has built a proprietary production process that enables lower cost and higher quality than competing biologicals, and it serves growers through distributors in the US, Brazil, India, Canada, and Europe. GroundWork also enhances crop performance with helper bacteria and supports permanent carbon sequestration.

By improving yields, restoring soil health, reducing fertiliser runoff, and enabling permanent soil carbon storage, GroundWork supports more sustainable and climate resilient agriculture. The technology helps farmers produce more food with fewer inputs while contributing to long term soil regeneration and lower environmental impact.

Modern textile production relies on synthetic dyes to deliver consistent, vibrant color at scale. However, these dyes carry environmental externalities both upstream, during production, and downstream, during application. For example, indigo is traditionally produced using petroleum-derived chemicals such as benzene and formaldehyde, while the denim dyeing process generates toxic wastewater alongside blue denim. Today, brands have no alternatives that match the performance, cost, and scalability of synthetic dyes without their embedded environmental costs.

Huue produces bio-based pigments, starting with indigo, for the textile industry. Its team studies how color occurs in nature and uses proprietary bioengineering to create microbes that mirror those natural pathways and convert sugar into vibrant pigments. Its indigo is both sustainable and fully compatible with existing manufacturing processes.

Biosynthetic indigo, like Huue’s, has five times less toxicity potential compared to chemical sources.

More than 4 million homes and businesses in the US now have rooftop solar, forming a large and growing installed asset base that must be actively monitored and maintained. Yet many owners lack the systems and network required to monitor performance, diagnose faults, and coordinate remediation at scale. As a result, distributed solar assets frequently underperform expected output, generating billions of dollars in preventable losses each year.

Omnidian provides performance assurance for rooftop solar installations. Its core product is a warranty that guarantees energy generation above a modelled output, effectively transferring underperformance risk from asset owners to Omnidian. It manages this exposure using machine learning models to remotely detect, contextualise, and diagnose solar asset faults like shade, soiling, and hardware failures. When intervention is required, Omnidian dispatches field-service crews to restore performance. This tech-enabled services model improves system uptime, lowers operating costs, and helps asset owners maximise long-term returns.

Omnidian oversees more than 2 GW of energy generation across 2,000+ sites.

As climate pressures rise and growers face increasing labor constraints, tree‑level analytics can materially enhance yields while reducing chemical use and operational waste. Falling aerial data acquisition costs and growing demand for accurate carbon measurement further strengthen the need for scalable intelligence platforms.

SeeTree provides an intelligence platform that analyses tree‑level data collected from drones, satellites, planes, weather feeds, and IoT sensors. Its technology classifies each tree’s health, productivity, and stress indicators to help growers optimize spraying, irrigation, labour, and long‑term orchard planning. Customers include large citrus, and other permanent crop growers across the US, Brazil, and Mexico.

By digitising orchards and enabling precise interventions, SeeTree improves yields and reduces chemical inputs, supporting more sustainable food production.