Explore our network

Rhythmos is building the operating system for farming: turning agronomic knowledge and field data into plot-specific, executable workplans that tell farmers exactly what to do, when, and how.

Today, that knowledge lives in manual protocols and individual agronomists’ heads, with nothing to catch what falls through the cracks, and one missed or mistimed action can cost an entire season. Existing tools are not enough to close that gap: precision ag is expensive and narrow, and farm management software tracks records without prescribing action.

Rhythmos combines individual farm and plot protocols, agronomic best practices, up-to-date and historical field data, and collective farmer knowledge through CORE, its recommendation engine, generating a complete operational plan grounded in each farm’s own history and financial trade-offs. Every recommendation goes through the farmer’s review before execution: the agronomic intelligence is ours, the decision is always theirs.

Our mission is to preserve generational farming knowledge before it retires, put it directly into the hands of every grower, and give farms a practical path to transition toward regenerative practices without sacrificing operational precision.

Our vision is a world where every farm, regardless of size or access to expertise, operates with the precision of the best-run farms today, strengthening food security, farm resilience, and climate adaptation across the industry.

Meala is a food technology company developing clean-label texturizing proteins that enable food manufacturers to replace eggs and synthetic texturizers without compromising functionality or taste. Our proprietary protein platform delivers gelling, binding, foaming, and emulsifying performance across bakery, savory, sauces, and dressings applications.

By reducing egg dependency and eliminating ingredients such as methylcellulose and modified starches, Meala helps manufacturers create simpler ingredient lists, improve formulation economics, and reduce environmental impact. Independent life cycle assessments demonstrate up to 63% lower carbon emissions and up to 96% lower water footprint, depending on the application.

Our solutions are already commercialized through global ingredient partners- dsm firmenich and LASENOR and are designed for industrial-scale manufacturing, enabling food producers to accelerate the transition toward more sustainable, resilient, and clean-label food systems

SaiFlow delivers an AI-native, contextual energy runtime cybersecurity platform built specifically for distributed energy sites and networks – including Battery Energy Storage Systems (BESS), solar PV networks, smart meters, EV charging infrastructure, and other energy IoT assets, as well as energy-intensive infrastructure such as data centers.

By uniquely fusing energy-flow data with network telemetry, SaiFlow enables precise, context-aware threat detection, real-time asset and network visibility, proactive vulnerability management, and accelerated AI-driven investigation – strengthening protection, shortening detection time (MTTD), reducing investigation time (MTTI), and improving operational safety across modern distributed energy environments

EYWA is an agentic AI platform for the autonomous management of large HVAC and chiller operations. Large HVAC systems drive billions in energy and maintenance costs, yet faults and inefficiencies typically go undetected until damage has already occurred. EYWA’s autonomous agents transform this reactive model into predictive, optimized asset intelligence: they continuously monitor every sensor to catch anomalies as they appear, correlate patterns across systems to pinpoint root causes rather than symptoms, and autonomously adjust setpoints, schedules, and operations in real time, no human in the loop required. The platform reduces energy waste by 10–30%, detects equipment faults weeks before they cause downtime, and scales expert-level HVAC optimization across facilities without hiring specialized engineers at every site

Grid+ is an edge computing technology that transforms sub-second, real-time grid edge data generated by distributed energy projects into valuable revenues and savings for renewable IPPs, renewable and distributed developers, and DSOs. Grid+ unlocks real-time dynamic hosting capacity in medium-voltage distribution grids, enabling accelerated use of existing grid capacity for more generation, fewer curtailments, and greater stability of grid feeders below substation level,  while giving all parties higher real-time observability and operability. Using deep electrical-physics algorithms and a continuously updating real-time digital twin, the platform requires no utility or public data and no new sensors, delivering an immediate increase in the return on renewable and grid assets

CapsiBreed is an agricultural biotechnology company developing climate-resilient, next-generation pepper varieties using advanced genome editing and precision breeding technologies. Our proprietary PepGEM (Pepper Gene Editing and Modification) platform integrates bioinformatics, molecular biology, CRISPR-based genome editing, and innovative plant transformation technologies to accelerate crop improvement.

Pepper production faces increasing challenges from climate change, including rising temperatures, drought, emerging diseases, and the need for more sustainable use of agricultural resources. CapsiBreed enables targeted improvement of elite pepper cultivars by modifying genes controlling key traits such as stress resilience, disease resistance, nutritional value, flavor, and shelf life—without compromising the characteristics valued by farmers, breeders, and consumers.

By overcoming the historical difficulty of genetically improving pepper, our technology dramatically shortens breeding timelines and enables the rapid development of superior varieties. Through partnerships with seed companies and growers, CapsiBreed aims to deliver climate-smart crops that improve agricultural productivity, reduce resource inputs, and strengthen global food security in a changing environment

Timna Elements is developing a sustainable hydrometallurgical platform for recovering critical metals from mining and urban waste. Our technology transforms low-value waste streams—including mine tailings, industrial residues, and electronic waste—into valuable sources of critical raw materials essential for clean energy, electrification, and advanced manufacturing.

Our proprietary process combines selective leaching, advanced separation, and metal recovery to efficiently extract target metals while minimizing chemical consumption, energy use, and secondary waste generation. Unlike conventional mining, which relies on energy-intensive extraction of virgin ores, our approach recovers existing resources already present in waste, reducing environmental impact and supporting a circular economy.

The platform is designed to be flexible and scalable, enabling recovery of multiple critical metals from diverse feedstocks. By converting waste liabilities into valuable resources, Timna Elements helps reduce dependence on primary mining, improves resource security, and lowers the carbon footprint of critical metal production.

Our mission is to make critical metals more sustainable, accessible, and resilient, accelerating the transition to a low-carbon economy while creating economic value from materials that would otherwise remain unused

MikaGu is a deep-tech startup specializing in Physical AI and advanced acoustic analysis. We help critical infrastructure operators in the energy and defense sectors prevent catastrophic equipment failure by shifting from reactive damage detection to true anomaly anticipation.

The core problem we address is a severe technological paradox: mission-critical facilities are completely blocked from adopting standard cloud-connected predictive maintenance due to strict, zero-tolerance cybersecurity regulations.

We solve this by deploying autonomous, 100% air-gapped acoustic Edge AI systems. Our non-invasive microphone networks continuously capture the high-fidelity internal sound signatures of critical assets, such as high-voltage transformers and cooling pumps. Instead of transmitting sensitive data outward, our proprietary machine learning algorithms process it entirely locally on secure edge controllers

Fruit-OH is an agricultural and environmental technology company that provides an autonomous waste-to-value infrastructure designed for on-site deployment. The company addresses the $125B global agricultural waste problem by converting organic waste — previously considered an expensive liability — into four premium commodities: bioethanol, compressed bio-fibers, food-grade CO₂, and distilled water. The core product is a containerized, plug-and-play unit that uses chemical, biological, and physical processes to break down highly variable mixed waste streams directly at the source, with no change to existing facility operations. Units are deployed individually or networked into “Hives” of 15 units under a central operations center, enabling rapid scaling from a single packing house to enterprise-wide infrastructure. By eliminating third-party transport and off-site logistics, the system reduces emissions and delivers a circular economy solution with 100% mass conversion and zero landfill residue. The business model combines hardware sales, SaaS licensing for remote monitoring, and commodity revenue sharing, with a 12–24 month ROI for clients

Bestree is an Israeli AgTech company developing a molecular propagation platform for crops that are difficult to propagate at scale.

Many high-value crops, including avocado, cacao, nuts, and other woody plants, face a major bottleneck at the nursery stage: elite genetics exist, but producing uniform, disease-free, true-to-type plants reliably and at industrial scale remains slow, costly, and inconsistent. This limits growers’ ability to expand production, improve resilience, and adopt better plant material.

Bestree combines molecular markers, advanced tissue culture protocols, and data-driven propagation know-how to identify the optimal biological window for rooting and acclimatization. Our platform turns plant propagation from a trial-and-error process into a controlled, repeatable production system.

We are starting with avocado as our beachhead crop, where global demand for high-quality clonal rootstocks significantly exceeds supply. From there, the same platform can be expanded to additional recalcitrant crops with strong climate, food security, and commercial relevance.

Our goal is to industrialize plant propagation and help growers access better plants, faster, at scale

The technology is powered by Physics-Informed Neural Networks (PINNs) that fuse machine learning with the laws of thermodynamics and chemical kinetics. While traditional “black box” AI requires years of historical data and fails during unpredictable operational anomalies, Kineticore embeds physical reality into the neural network’s core architecture.

This physics-first approach eliminates “pilot purgatory,” shortening deployment from years to under four weeks. Out of the box, the modules deliver 85–95% fault prediction accuracy and real-time process guidance. By monitoring critical equipment (like ESPs) and optimizing energy-intensive thermal assets (like EAFs or chemical reactors), Kineticore provides operators with immediate, actionable recommendations.

Ultimately, the technology shifts the industrial paradigm from defensive cost-cutting to aggressive margin expansion—turning complex physical processes into predictable, highly resilient, and insurable operations on Earth and in space

Generative AI models are limited because they predict text. We are building the first model designed to predict physical events.

At Psistar, we are pioneering methods that treat physics as a language and operational knowledge as grounded truth. By decoding the underlying patterns of pressure, flow, and causality, we are building the world’s first Physics-Informed Foundation Model and Operational Ontology Model.

Our goal is to move AI beyond statistical guessing to mathematical certainty.

While the applications are limitless, we are already transforming legacy infrastructure into perfect, autonomous experts in Energy, Aerospace, and Data Centers. Our vision is building the brain for the entire physical world

Voltify can save over 20% of rail’s main expense – energy.
They are retrofitting diesel locomotives with battery power, enabling them to fast charge through a dedicated smart microgrid network.

It was founded by Daphna Langer, previously founder of a logistics and data company, and Alon Kessel, founder of the public energy company Doral (global projects of over $1B each)

In under two years, they secured over $50M contingent PO and a paid pilot with one of the largest global rail companies with a $1B+ contract potential.

Voltify’s tech is unlocking a $20B ARR opportunity in rail energy sales, and $100B ARR from the off-grid, rail-connected energy network

Immedia Power is an energy infrastructure company addressing one of the biggest bottlenecks in electrification: slow and constrained grid expansion.

Electrification is accelerating, but new high-voltage grid connections can take 5–10 years, preventing EV fleets, edge data centers, ports, and industrial sites from scaling operations and generating revenue. As a result, these sites are forced to rely on inefficient and carbon-intensive alternatives, delaying progress toward net-zero goals.

Immedia Power provides permanent, utility-grade on-site capacity delivered in weeks instead of years, with a small physical footprint. Our flagship product, GX230, is a modular 230 kW multi-fuel power system that synchronizes directly with existing electrical infrastructure and operates as additional native grid capacity rather than backup power. The system supports LPG, CNG, biofuels, synthetic fuels, and hydrogen blends, enabling a clear pathway away from diesel while remaining deployable today.

Multiple units are orchestrated by proprietary software that intelligently manages load, peak demand, preventative maintenance, and output across single or multi-site deployments. The system combines high power density, ~42% utility-scale efficiency, universal grid integration, and structurally lower CAPEX per kW than incumbent solutions.

Immedia Power has completed a proof of concept, signed pilot LOIs, and is working with an experienced European development partner. Our solution enables faster electrification, reduces reliance on diesel generators, improves energy efficiency, and unlocks immediate revenue growth for energy-constrained sites

Nugen turns power from a bottleneck into a strategic advantage: clean, modular, on-site energy wherever growth demands it. We deliver swappable solid-state energy cartridges that can be shipped as cargo, stored on-site, and converted into clean electricity whenever needed.

We use a patented solid-state energy-carrier architecture to generate clean electricity on demand without any conventional fuel infrastructure. Energy is shipped as stable solid-state cartridges and converted into power by a proprietary catalytic reactor technology and a Physical AI control layer.

The result is a compact system that delivers up to 30% more usable electricity per unit volume than diesel.

No pipelines. No complex storage or fuel infrastructure.

For data centers, that means clean, long-duration power that can be deployed quickly, expanded modularly as demand grows, and used for backup, grid support, or expansion without waiting years for new grid infrastructure

NeoLogic is an Israeli semiconductor company developing next-generation AI server CPUs purpose-built for the data center era. Founded in 2021 and currently post-Series A, the company delivers a proprietary processor architecture designed to dramatically improve performance-per-watt compared to conventional CPU and GPU solutions.

NeoLogic’s processors reduce total data center power consumption by up to 30% while cutting AI inference costs by more than 100X versus GPU-based architectures. This enables cloud providers and data center operators to lower both OPEX and CAPEX, while addressing one of the most critical challenges of AI growth: energy efficiency at scale.

The company works closely with leading global industry players and targets large-scale deployment through server manufacturers and enterprise customers. By rethinking server compute from the silicon level up, NeoLogic plays a key role in decarbonizing digital infrastructure and enabling sustainable growth of AI, cloud, and data-intensive services

SunSeed IL APV is a climate-tech startup developing AI-driven simulation and decision-support tools for agrivoltaic and energy-intensive infrastructure projects.

Our platform integrates climate data, microclimate modeling, agronomic response, and energy system simulations to support early-stage planning, design optimization, and operational decision-making. By enabling scenario-based evaluation before physical deployment, SunSeed helps reduce risk, improve resilience, and optimize performance under increasing heat, energy demand, and climate uncertainty.

SunSeed works with infrastructure developers, energy companies, research institutions, and regulators to support smarter integration of renewable energy, land use, and climate adaptation. Our approach reduces reliance on costly trial-and-error pilots, accelerates permitting and investment decisions, and improves long-term sustainability outcomes

Kryora is an AI-powered software platform that optimizes cooling systems in real time for data centers and other mission-critical industrial environments, reducing energy consumption, operating costs, and carbon emissions without requiring hardware changes.

Cooling represents 40–60% of total electricity usage in data centers and large industrial facilities, especially in AI-driven environments where heat loads are extreme and highly dynamic. Most cooling systems today rely on static rules and conservative safety margins, leading to significant energy waste.

Kryora ingests real-time data from sensors, BMS, and operational systems, including temperature, airflow, power usage, and workload behavior, and applies machine-learning models to continuously optimize cooling performance. Unlike rule-based control, Kryora dynamically adapts to changing conditions, including high-density AI racks, while operating safely within thermal and reliability constraints.

The platform integrates with existing cooling infrastructure (CRAC/CRAH, chillers, air and liquid cooling systems), deploys quickly, and requires no physical retrofits. Kryora can reduce cooling energy consumption by up to 30%, directly lowering electricity demand, peak grid load, and CO₂ emissions.

By improving cooling efficiency at scale, Kryora enables more sustainable, resilient, and cost-effective growth of AI data centers and industrial facilities

NUF develops an innovative, circular technology for water and wastewater purification by repurposing medical-grade filtration membranes that would otherwise become hazardous, non-biodegradable waste. Each year, hundreds of thousands of dialysis membranes are discarded worldwide, contributing to environmental pollution despite retaining exceptional filtration performance.

NUF’s proprietary process enables these membranes to be safely cleaned, sterilized, and redeployed for non-medical water applications, transforming medical waste into a high-value resource for water treatment. The technology is protected by international patents and designed for long-term industrial use, including self-cleaning capability through reverse-flow (backwash) operation.

Since its commercialization, NUF systems have been deployed globally across a wide range of applications, including wastewater recycling, agricultural and greenhouse water reuse, drinking water purification, industrial water treatment, and swimming pool filtration. By combining proven medical-grade performance with circular reuse, NUF delivers cost-effective, reliable water purification while reducing environmental pollution and material waste.

NUF’s solution supports sustainable water management, circular economy principles, and resource efficiency—helping address growing global challenges in water scarcity, wastewater treatment, and environmental protection