Founded in 2005, True Ventures is a Silicon Valley-based venture capital firm that invests in early-stage technology startups. With more than $3.8 billion under management, True provides seed and Series A financing to entrepreneurs in some of today's growing markets.  With more than 40 team members including special advisors, operations professionals, and founders-turned-investors, True represents one of the largest and most experienced teams dedicated to the ecosystem.  The True team believes creativity flourishes when founders are supported fully and empowered to pursue brave ideas. To that end, the True Platform offers programs that inspire professional and personal growth. To date, True has helped more than 350 companies launch and scale their businesses, creating over 85,000 jobs worldwide.  True was awarded Venture Firm of the Year by the National Venture Capital Association in 2018. To learn more, visit www.trueventures.com.

True Ventures

Anthemis Group is a multi-stage asset management platform that cultivates change in the financial system by investing in, growing, and sustaining businesses committed to resiliency, transparency, access and equity. Founded in 2010, our deep understanding of markets and models, passion for emerging technology and values inspire everything we do. By creating fertile ground for a diverse group of startups, investors, entrepreneurs, institutions, academics, and visionaries to converge, we believe we can solve the financial systems’ most pressing challenges faster, better and for the benefit of all.

Anthemis

Homebrew is a hands-on, founder-friendly seed-stage fund created by Hunter Walk and Satya Patel to invest in the ''bottom-up economy.'' Homebrew has adopted the Diversity Term Sheet Rider.

Homebrew

Inspired Capital Partners is an early-stage technology venture fund focused on supporting the next wave of exceptional entrepreneurs. Founded in 2019, Inspired Capital is backed by founders with transformative ideas, brilliant teams, and relentless determination.

Inspired Capital Partners

Two Culture Capital invests in the art and science of entrepreneurship. The company primarily invests in robotics and technology. They believe in the ability of AI, machine learning, and robots to augment human abilities.

Two Culture Capital

Acrew is a leading stage agnostic venture capital firm focused on investing in transformative companies, as well as diversifying the perspectives and cap tables of leading technology growth companies.

Acrew Capital

Valor Equity Partners is an operational growth investment firm that focuses on growth companies across various stages of development. For decades, it has served its companies with the expertise to solve the challenges of growth and scale. Valor Equity partners with companies and entrepreneurs who are committed to the highest standards of excellence and the courage to transform their industries.

Valor Equity Partners

DCVC backs entrepreneurs using Deep Tech to solve problems and multiply the benefits of capitalism for everyone while reducing its cost. Deep Tech is a potent approach to this challenge that enables more for less - now and for this century. The transformative companies in their portfolio combine the latest advances in science and technology with unique computing and algorithmic advantage, reducing CAPEX and OPEX.

DCVC

Lowercarbon Capital funds research and invests in technologies to reduce CO2 in the atmosphere. The world has ignored the scientists, inventors, and entrepreneurs who are pursuing solutions to lower emissions, remove carbon, actively cool the planet, and save human, animal, and plant life.

Lowercarbon Capital

Alumni Ventures Group provides high-quality, diversified venture portfolios to individual investors who previously haven't had access to VC. It helps accredited alums from top entrepreneurial schools invest together in the ventures of fellow alums. The firm backs companies with an alumni connection and an institutional lead investor with expertise in the space. AVG also offers focused funds that allow any accredited investor access to a venture portfolio, diversified by type, sector, stage, and geography. Beth Obermiller, Michael Madden, and Mike Collins co-founded the firm in Manchester, New Hampshire in 2013.

Alumni Ventures

Kettle

Kettle is a machine-learning powered reinsurer balancing risk in a changing climate. It's proprietary deep learning algorithms use more than seven billion lines of a satellite, weather, and ground truth data. These models use Swarm Neural Networks to find patterns that enable more accurate predictions, thereby reducing loss ratios. Kettle is structured to sell reinsurance to insurers.

Kettle is a parametric reinsurance company using AI to predict and price wildfire risks. The company claims to offer more competitive pricing given it can predict risks more accurately.&nbsp;

Climate Risk Analytics

Kettle is a reinsurance managing general agent (MGA) that leverages artificial intelligence and machine learning to better predict and price climate-related risks. Founded in early 2020, the company initially focused on wildfire risk in California. Kettle's proprietary model analyzes over 130 terabytes of data from 47 different sources, including NASA satellites, weather data, and LIDAR mapping sensors, to predict wildfire risk at a half-square-mile resolution across California. In 2020, Kettle accurately classified 97% of burned properties in the top quartile of risk in the state. The company has since expanded its offerings to include parametric hurricane reinsurance in the US and is exploring other climate-affected perils.

Kettle selected for eighth cohort of Lloyd’s Lab

Reinsurance start-up Kettle led by ex-Argo secures $4.71m in seed funding

Kettle offering parametric hurricane reinsurance in the US using Reask's model & data

Kettle: Reinsurance to cover Americans against climate change

Wildfires and natural disasters are worse than ever, due to climate change: This startup helps pinpoint where they'll hit

CEO: Bermuda is the ‘reinsurance centre of the world’

New partnership expands Kettle’s climate-related offerings

Balancing Risk in a Changing Climate.

Kettle hires Brian Espie as CUO, promotes Amit Shah to President

AI-powered insurtech Kettle appoints two to leadership roles

Insurtech startup Kettle secures seed funding, sets sights on wildfire reinsurance

Reinventing how computers think based on biological neural networks

Neuromorphic Computing

Kettle is a parametric reinsurance company using AI to predict and price wildfire risks. The company claims to offer more competitive pricing given it can predict risks more accurately.&nbsp;The company currently resells insurance that it underwrites, targeting expensive properties, starting at USD 3 million and ranging up to USD 10 million. Kettle’s primary catastrophe risk involves wildfires in California. The company had plans to expand into more disaster types in the future, covering more regions.Kettle’s technology adopts two models: the Genesis model and Contagion model to predict wildfire risk and property damage. The Genesis model divides the state of California into 320,000 micro grids and analyzes the factors contributing to wildfires in a given month. The Contagion model leverages AI to further improve accuracy and computational efficiency. Kettle uses the results derived from the wildfire simulation model to develop the pricing model and portfolio algorithm.&nbsp;Key customers and partnershipsKettle runs over 500 billion simulations in comparison to other insurance companies who run between 10,000 and 100,000 simulations. The company claims to be 89% accurate on its predictions so far.&nbsp;&nbsp;

Tomorrow.io (formerly called ClimaCell) is a short-term weather analytics platform, serving businesses across a wide range of industries, including aviation, energy, insurance, on-demand companies, professional sports and venues, and logistics, as well as government agencies globally.The company’s proprietary Weather and Climate Security platform uses machine learning to translate hyperlocal forecasts into actionable insights for business decision-making. The platform aggregates real-time data from existing numerical weather prediction models to provide customized climate risk dashboards and alerts for businesses using AI and machine learning. Tomorrow.io’s key value proposition is its five-day advanced warning on adverse weather.In May 2023, the company launched its first satellite, Tomorrow-R1, the world’s first commercially built weather-radar satellite. Tomorrow.io launched a second satellite (R2) in <a href="https://sp-edge.com/updates/19726">June 2023 </a>. This makes Tomorrow.io the first company to launch precipitation radar-equipped satellites following NASA’s GPM satellite.Key customers and partnershipsTomorrow.io was serving 1,000+ customers as of November 2022, which included some high-profile clients such as Microsoft, Uber Technologies, Ford Motor Company, Delta Airlines, JetBlue Airways, National Grid and the U.S. Air Force.&nbsp;&nbsp;

Tomorrow.io

Climavision offers an AI-powered radar-as-a-service solution to provide real-time weather prediction models and analytics. Climavision was a spin-off of Enterprise Electronics Corporation (EEC), a weather radar and satellite service provider. The company develops a private network of weather radars and satellites to fill in the coverage gaps across existing National Oceanic and Atmospheric Administration (NOAA) and National Weather Service (NWS) systems. This reportedly allows Climavision to collect additional data points to provide more accurate weather predictions than those solutions that only use legacy weather data.Climavision’s product offering includes Radar-As-A-Service (RaaS), Numerical Weather Prediction with GPS Radio Occultation (RO), and Numerical Weather Prediction with GPS-RO+ Radar. 1) RaaS provides real-time weather data, via Climavision's proprietary sensing network. 2) Numerical Weather Prediction with GPS-RO is a numerical weather prediction model. 3) Numerical Weather Prediction with GPS-RO+ Radar leverages the real-time power of Climavision’s sensing network. In <a href="https://sp-edge.com/updates/21793">September 2023</a>, Climavision installed its weather X-Band weather radar system in Alabama, to fill a low-level coverage gap in the Appalachian Plateau region. &nbsp;In <a href="https://sp-edge.com/updates/30169">June 2024</a>, the company launched a new product suite called Horizon AI to support the renewable energy sector. The suite improves the accuracy and scope of forecasting models by integrating machine learning and AI-based tools.In <a href="https://sp-edge.com/updates/30156">May 2024</a>, Climavision acquired Intersphere, a sub-seasonal to seasonal (S2S) weather forecasting platform (up to a year in advance), to enhance AI-powered weather prediction.&nbsp;Key customers and partnershipsIn June 2022, the company partnered with GE Digital, a provider of machine data to produce analytics and insights, to support the latter’s customers, improve their weather prediction ability, and better plan for severe storm events. Previously, in February 2022, the company added Cargill, a food and agricultural company to its customer portfolio.In June 2021, Climavision also entered into a strategic collaboration with GeoOptics, an Earth remote-sensing provider, to improve its weather forecasting solutions.&nbsp;

Climavision

Jupiter Intelligence provides climate risk analytics solutions across private and public sectors by incorporating AI and machine learning for predictive climate modeling. Jupiter covers a range of natural disasters such as flood, wind, heat, cold, wildfire, drought and water stress, hail, and extreme precipitation.As of 2024, Jupiter worked with 25% of the world's largest companies including 15% of the Global 100, two of the largest banks in the US, and 50% of the largest lenders in the US. The company serves across 20 sectors including banking, chemicals, insurance, pharmaceuticals, agriculture, and construction and provides customers with access to nearly 150 trillion data fields using cloud-based supercomputing. The company offers its risk analytics solutions via web-based applications, reports, through an API, and consulting engagements.&nbsp;Jupiter’s ClimateScore Intelligence Platform claims to predict natural disasters from one-hour to 50+ years in advance. The company also offers a ClimateScore Planning suite, which includes FloodScore, HeatScore, WindScore, FireScore and ClimateScore Global solutions for climate risk assessment.&nbsp;Key customers and partnershipsIn June 2022, the company partnered with Boston Consulting Group (BCG) to incorporate Jupiter’s climate analytics into BCG’s ClimateImpact.AI platform. In August 2022, Jupiter collaborated with Aon, a professional services firm, to address climate change for financial institutions’ balance sheets, identification of climate risks, and quantification of climate-related disclosure regulations. In January 2023, the company partnered with&nbsp;<a href="https://sp-edge.com/updates/15706">FORVIS</a>, an accounting and advisory company, to develop a climate risk modeling tool. In March 2024, Jupiter entered into a strategic agreement with&nbsp;<a href="https://sp-edge.com/updates/27657">Jones Lang LaSalle (JLL)</a>, an NYSE-listed real estate and investment management company, to provide AI-powered climate risk analytics for properties and portfolios. In&nbsp;<a href="https://sp-edge.com/updates/33631">September 2024</a>, the company partnered with DNV, an assurance and risk management provider, to launch climate-driven hail risk service for solar PV across North America.&nbsp;Jupiter’s customers include Hawaiian Electric, Zurich, conEdison, bp, Liberty Mutual, QBE, MS&amp;AS Insurance, Terna, Bephila, New York City, City of Miami, NASA, Astra Zeneca, JLL, Orsted, Shell and US Department of Housing and Urban Development.

Jupiter Intelligence

ClimateAI provides climate risk modeling solutions across global supply chains. The company states that its digital platform monitors short-term, seasonal, and long-term climate risks, ranging from one day to 50+ years into the future. ClimateAI’s proprietary AI modeling platform optimizes supply chain operations from production planning, demand estimation, and inventory management to ensure minimum climate disruption across supply chains. In July 2021, the company also launched its Enterprise Climate Planning (ECP) platform, to quantify climate impacts and provide business-specific insights in order to mitigate climate risks across supply chains.In April 2024, the ClimateAI launched its ClimateLens Monitor Yield Outlook. This solution offers climate-driven yield forecasts for several commodity crops, including corn, potato, canola, oats, hops, soybeans, sorghum, wheat and barley, and also provides insights on the climate factors driving the variability.Key customers and partnershipsAs of April 2024, the company had worked with over 50 food and agricultural companies to provide seasonal and sub-seasonal weather forecasts and agronomic risk expertise.&nbsp;

ClimateAi

Floodbase (formerly Cloud to street (C2S)) is a flood intelligence platform powered by satellites, machine learning, and on-the-ground observation data to track flood-events in real time. The company’s proprietary satellite imagery, historical data, and flood modeling provide governments and insurance companies with precise data to monitor people and assets at risk, identify blocked roads, and measure property and agricultural damage. The company utilizes 15 satellites to gather flood data.&nbsp;Floodbase also offers a Global Flood Database, a free and an open-sourced platform, which has mapped over 900 flood events across 169 countries globally as of August 2024.&nbsp;Key customers and partnershipsFloodbase supported 28 governments and institutions as of November 2022. The company’s customers include WillisRe, an insurance subsidiary of Willis Towers Watson. WillisRe adopted C2S’s platform to optimize its actuarial models in markets like Indonesia.&nbsp;In June 2022, the company partnered with two parametric insurance platforms, Raincoat and Munich Re Group, to deploy the world’s first parametric flood insurance program. Since then, Raincoat has leveraged Floodbase’s flood data to develop a platform that allows payouts to insured farmers within days of a disaster. In October 2023, the company partnered with&nbsp;<a href="https://sp-edge.com/updates?industryIds=124">Ag Guard</a> to provide parametric flood insurance programs for farmers and governments in Australia and New Zealand in 2024. In December 2023, Floodbase collaborated with&nbsp;<a href="https://sp-edge.com/updates/24786">Oneglobal</a>, a UK-based insurance broker, to provide flood insurance solutions for the Asian market.&nbsp;In January 2024, the company partnered with&nbsp;<a href="https://sp-edge.com/updates/25834">Capella Space</a>, a space tech firm, to leverage high-resolution satellite data for parametric insurance payouts. In August 2024, Floodbase partnered with&nbsp;<a href="https://sp-edge.com/updates/32691">Amwins</a>, a specialty insurance distributor, to launch the Tees-to-Green flood insurance program for US golf courses, and in&nbsp;<a href="https://sp-edge.com/updates/34663">October 2024</a> launched a flood insurance program for California municipalities.&nbsp;&nbsp;

Floodbase

Forecasts weather for up to 14 days by using AI/ ML solutions

Forecasts weather for up to 14 days by using other next-generation solutions

Forecasts long-term climate risks (for up to ~50-80 years into the future) by using AI/ ML solutions

Forecasts long-term climate risks (for up to ~50-80 years into the future) by using other next-generation solutions

Provides long-term climate risk analytics to cover the gap in traditional insurance products

Provides climate risk scores for third-parties

Uses AI/ML tools to forecast climate risks for up to ~50–80 years

Provides tools to identify future hazards to protect industries like agri and insurance

Kettle is a reinsurance managing general agent (MGA) that leverages artificial intelligence and machine learning to better predict and price climate-related risks. Founded in early 2020, the company initially focused on wildfire risk in California. Kettle's proprietary model analyzes over 130 terabytes of data from 47 different sources, including NASA satellites, weather data, and LIDAR mapping sensors, to predict wildfire risk at a half-square-mile resolution across California. In 2020, Kettle accurately classified 97% of burned properties in the top quartile of risk in the state. The company has since expanded its offerings to include parametric hurricane reinsurance in the US and is exploring other climate-affected perils.
Kettle's technology runs approximately 2.25 million simulations to predict wildfire ignition, spread, and building vulnerability. This approach aims to provide a more accurate assessment of risk compared to traditional models that rely primarily on historical data. By offering a more refined view of risk, Kettle enables insurers to price policies more accurately and potentially stabilize premiums in high-risk areas.
The company operates under a graduated licensing regime in Bermuda, which allowed it to develop its concept in the Bermuda Monetary Authority's insurtech sandbox before obtaining full registration. As of November 2023, Kettle's model partially insured approximately 60,000 homes across 20 different insurance companies. The company has also begun piloting programs for Florida wind coverage.

MemComputing, founded in San Diego, has developed a novel computing technology aimed at solving complex optimization problems across various industries. The company's proprietary MemCPU Platform combines processing and memory to deliver high-performance computing capabilities for applications in optimization, Big Data analytics, and machine learning. MemComputing's approach is based on a physics-inspired computing paradigm that utilizes non-quantum dynamical systems with memory to process information.
The technology behind MemComputing was invented by Fabio Lorenzo Traversa and Massimiliano (Max) Di Ventra, who sought to design a computer from a physics perspective. Their innovation led to the creation of digital memcomputing machines (DMMs), which are designed to solve combinatorial optimization problems efficiently. DMMs can be realized through electrical circuits or simulated on traditional computers.
MemComputing's solutions have demonstrated significant advantages in solving hard problems. For instance, the company reported finding feasible solutions within minutes for a problem from the MIPLIB 2010 library whose feasibility had remained unknown for eight years. In another case, MemComputing's technology solved a problem in 1.5 hours that would have taken the world's fastest supercomputers significantly longer to solve.
The company's first product, the MemCPU Extreme Performance Computing (XPC) SaaS, is being used by companies in the Global 2000 to address large-scale optimization challenges. MemComputing's approach has shown promising results in various applications, including prime factorization, Boolean satisfiability problems, and restricted Boltzmann machine training.

MemComputing

MemryX Inc. is a fabless semiconductor company that specializes in designing edge AI processing solutions. Founded in 2019, the company focuses on accelerating artificial intelligence (AI) processing for edge devices through its proprietary compute-at-memory technology and dataflow architecture. MemryX's flagship product, the MX3 AI Accelerator, is designed to be an efficient and easy-to-use solution for edge AI applications. The MX3 can be integrated into various edge computing systems, offering scalable AI capabilities for industries such as automotive, robotics, IoT, smart vision systems, and edge computing.
The MX3 AI Accelerator features MemryX Compute Engines (MCE) that are tightly coupled with at-memory computing, creating a native dataflow architecture that utilizes up to 70% of the chip with just one click. This design allows developers to compile any trained AI model with a single click, achieving optimized model performance with high utilization (>50%) and full accuracy within minutes. The MX3 supports multiple AI frameworks, including TensorFlow, TensorFlow Lite, ONNX, PyTorch, and Keras, and can run hundreds of unaltered AI models efficiently.
In terms of performance, the MX3 offers more than five TFLOPs of computing power while consuming approximately one watt of power. It supports BFloat16 activations and can handle weights of 4, 8, and 16 bits. The chip can store about 10 million parameters on-die and interfaces with host systems through PCIe Gen 3 I/O and/or USB 2.0/3.x. MemryX offers the MX3 in various form factors, including bare die, single-die package, and modules (mini PCIe or M.2) with one or more MX3 chips.
As of December 2023, MemryX announced the availability of production-level silicon for its MX3 AI Accelerator, with volume production expected to start in 2023. The company has showcased various demonstrations of the MX3's capabilities, including multi-stream AI-enabled video management systems, AI-powered PCs, threat and weapons detection for public spaces, and smart city traffic management solutions.
Key customers and partnerships
MemryX has formed partnerships with several companies to showcase and integrate its AI acceleration technology. In February 2023, MemryX announced a partnership with Edge Impulse, an AI-algorithm software provider, to streamline the development, testing, and deployment of AI models on MemryX's AI accelerator chips. This collaboration aims to simplify the process of creating and implementing AI solutions for edge devices.
The company has also worked with Cachengo to develop an intelligent edge platform for real-time threat detection in public spaces. Additionally, MemryX has partnered with Fracctal to demonstrate smart city traffic management capabilities powered by the MX3 AI Accelerator.

MemryX

Nepes Corporation is a South Korean company specializing in Outsourced Semiconductor Assembly and Test (OSAT) services. The company provides a comprehensive range of semiconductor packaging design and manufacturing services to global electronics industry clients. Nepes offers various packaging solutions, including wafer level packaging, fan-out wafer level packages, and panel level packaging. In 2020, Nepes acquired factory assets from Deca Technologies, establishing itself as a key player in advanced packaging technologies. The company has implemented Deca's M-Series fan-out technology and Adaptive Patterning real-time EDA ecosystem, enabling it to build the industry's first 600mm large panel M-Series factory in South Korea.
Nepes has expanded its IC packaging capabilities to address the challenges of developing advanced 3D IC packages. The company leverages a range of industry-leading solutions from Siemens EDA, including the Calibre nmPlatform tool, HyperLynx software for electrical rule checking, Calibre 3DSTACK software, Xpedition Substrate Integrator software, and Xpedition Package Designer software. These technologies enable Nepes to provide fast and reliable design services, including 2.5D/3D-based chiplet designs for its growing base of global IC customers.
Key customers and partnerships
Nepes has established partnerships with several prominent companies in the semiconductor industry. The company entered into a technology transfer and licensing agreement with Deca Technologies in 2020, enabling it to implement advanced packaging technologies. Nepes also collaborates with SAPEON Korea, providing them with comprehensive semiconductor packaging design and manufacturing services. Additionally, Nepes has extended its relationship with Siemens Digital Industries Software, leveraging their EDA technologies to enhance its packaging design capabilities and serve mutual customers more effectively.

Nepes

Symetrix Corporation specializes in developing technology for the semiconductor industry. The company's innovations find applications across various sectors, including communications, data acquisition, and measurement devices. Symetrix's technology serves as a crucial component in the advancement of semiconductor capabilities, contributing to the evolution of diverse electronic systems. The company's focus on memory technology suggests a significant role in enhancing data storage and processing capabilities within the semiconductor field.

Symetrix

Syntiant is a deep learning chip technology company founded in 2017 and headquartered in Irvine, California. The company specializes in developing ultra-low-power, high-performance deep neural network processors called Neural Decision Processors (NDPs) for edge AI applications. Syntiant's technology combines deep learning with semiconductor design to enable AI functionality in battery-powered devices without relying on cloud connections.
Syntiant's NDPs are designed to execute deep neural networks natively on various topologies, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and fully connected networks. The company's chips typically offer 100x efficiency improvement and a 10x increase in throughput compared to traditional low-power microcontroller-based solutions. This allows for larger networks at significantly lower power consumption, extending battery life and reducing infrastructure costs.
The company's product lineup includes the NDP100, NDP101, NDP200, and NDP115 processors. The NDP200, built on the Syntiant Core 2 architecture, provides 25 times the tensor throughput of the Syntiant Core 1 found in the NDP100. The latest NDP115, introduced at CES 2023, is designed for ultra-power and size-constrained applications, capable of running speech inferences at 280 microwatts.
Syntiant has achieved significant milestones in its short history. By January 2021, the company had shipped over 10 million of its NDP100 and NDP101 processors. This number increased to more than 20 million processors shipped by March 2022. As of May 2023, Syntiant has expanded its offerings to include hardware-agnostic deep learning computer vision models that can be deployed on various platforms, including the Renesas RZ/V2L microprocessor.
Key customers and partnerships
Syntiant's technology has found applications across various industries and devices. The company's Neural Decision Processors are being used in earbuds, wearables, smartphones, smart speakers, laptops, vehicles, and other IoT consumer and industrial use cases.
Syntiant has established partnerships with several prominent companies in the tech industry. In July 2021, Syntiant announced a collaboration with Renesas Electronics Corporation for a voice-controlled multimodal solution combining Renesas' RZ/V Series MPUs and Syntiant's NDP120 Neural Decision Processor. This partnership aims to enable low-power contactless operation for image processing in vision AI-based IoT and edge systems.
The company has also worked with Infineon Technologies, signing a smart microphone reference design agreement in 2018. This collaboration aimed to complement Syntiant's NDPs with Infineon's high-performance microphone technology.

Syntiant

Develop neural network hardware, including chipsets and circuits

Software companies that offer tools that can be used to develop neuromorphic AI algorithms and solutions

Develop software solutions to can be used to design neural networking tools, or offer neural networking solutions directly to users

Software companies that apply neuromorphic computing for visual AI tools and applications

Companies that develop and offer solutions that incorporate Neuromorphic-based AI technology

AI/ML enables neuromorphic computing to be applied to artificial neural networks and provide functional outcomes

Kettle

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