Participated · Series E · May 2024

Weka is a Campbell, CA-based AI-native data platform offering a cloud- and AI-native architecture deployable on-premises, in the cloud, and at the edge. Its platform transforms legacy data silos into dynamic data pipelines to accelerate GPU workloads, AI model training and inference, and other performance-intensive workloads. Weka's technology is designed to improve efficiency, reduce energy consumption, and lower associated carbon emissions. Over 300 of the world’s largest AI and GPU deployments run on the WEKA Data Platform. The company intends to use the new funding to increase cash reserves, scale rapidly to meet global demand for AI-native data infrastructure, and expand investments in developing its data platform software. The financing will also provide liquidity to Weka employees. Weka is a software-based data management provider whose WEKA Data Platform is purpose-built for the cloud and AI era. The platform is cloud-native and optimized to handle complex data challenges, delivering performance improvements on-premises, in the cloud, at the edge, and in hybrid and multicloud environments. Weka emphasizes sustainability and seamless data portability as part of its offering. The company operates in over 20 countries and is led by CEO Liran Zvibel. Weka plans to expand platform features and cloud integrations and to support new use cases while accelerating delivery of solutions to customers. The company intends to use recent funding to drive product development, global expansion, and to scale cloud, customer success, sales, marketing, operations, and human resources teams, and to reach profitability. WEKA (WekaIO) offers a unified, software-defined distributed file/object data platform optimized for NVMe-flash and the hybrid cloud to support AI/ML, life sciences research and high-performance computing. Its solutions target GPU-accelerated, data-intensive workloads and are deployed by eight of the Fortune 50. The company reported strong FY21 traction with greater than 2x ARR growth, over 125% growth in new customers, and deployments in 18 new countries, and was recognized by Gartner as a Magic Quadrant Visionary. Momentum continued into 1QFY22, when WEKA said it achieved its 1QFY22 revenue target in the first 14 days of the quarter. WEKA said it will use the new proceeds to accelerate go-to-market activities, operations, and engineering and to improve integration with its ecosystem. WekaIO’s flagship product, WekaIO Matrix, is an NVMe-optimized, POSIX-compliant parallel file system that targets AI, machine learning, high-velocity analytics and HPC workloads. Matrix supports multiprotocol access (NFS, SMB), integrates object storage for economics at scale, and offers features such as snapshots, cloud backup and disaster recovery. The software can be delivered on pre-engineered solutions with HPE, Supermicro and Western Digital, installed on industry-standard Intel x86 servers, or used on the AWS Cloud; the company sells via a capacity-based pricing model. WekaIO highlights industry benchmark performance (SPEC SFS 2014 and VI4IO rankings) and says Matrix delivers very low latency and high throughput for GPU- and I/O‑heavy workloads. The company cites awards and industry recognition and says customers have validated the product in production environments. WekaIO plans to use new capital to accelerate its market trajectory, expand internationally, and increase investments in engineering, sales and marketing. Weka.IO develops software-defined storage (SDS) technology that simplifies deployment of enterprise and cloud storage. Its patent-pending technology is designed to scale storage to hundreds of petabytes, deliver tens of millions of IOPs and achieve sub-millisecond latency at cloud economics. The company positions its product to replace legacy storage systems and address a large addressable market. Weka.IO plans to use new funding to accelerate its go-to-market strategy and expand sales and marketing in the U.S. It also intends to continue building engineering teams in Tel Aviv and San Jose and to grow customer support and business teams across multiple geographies. The company was founded in 2013.

Participated · Series C · Dec 2023

Foretellix provides safety-driven verification and validation (V&V) solutions for automated driving systems and advanced driver assistance systems. Its Foretify™ platform unifies real-world test drives and virtual simulation into a single V&V flow to help development, testing, and safety engineers collaborate across AV and ADAS projects. The platform is used by customers in automotive, trucking, and mining to ensure safety, reduce development costs, and accelerate time-to-market. The company says it will use the new funding to accelerate development of its expanding product portfolio and address global demand for its solutions. Foretellix is led by CEO Ziv Binyamini and is headquartered in Tel Aviv, Israel, with offices in the US, Europe, and Asia. Financial operating metrics were not disclosed in the article. Foretellix offers a platform that automates testing, verification and validation for ADAS and autonomous driving systems. The company applies a quantifiable approach to safety and hyper‑automation to generate and test broad scenario sets, and uses big‑data analytics to ensure testing completeness. Its platform is used across the development cycle from requirements through product development, verification and validation. Foretellix is commercially engaged with dozens of major automotive firms, including Volvo Group and DENSO Corporation. In January 2021 the company raised $32M in a Series B round to support expansion. The proceeds will be used to accelerate adoption of its platform and products. Foretellix provides coverage-driven verification solutions designed to ensure autonomous vehicles behave properly across hundreds of millions of critical driving scenarios. Its system automates extraction and analytics of safety-related coverage metrics, representing the percentage of scenarios proven to work across a wide range of situations and conditions. Those metrics are intended for developers, consumers, suppliers, insurance companies and regulators. The solution integrates with simulators, X-in-the-loop configurations, test tracks and test vehicles. Led by CEO Ziv Binyamini, the company plans to use the new funding to accelerate development, customer programs and deployment of its coverage-driven verification platform. Financially, Foretellix raised a $14M Series A and has now raised over $16M to date.

Participated · Series E · Sep 2023

Tomorrow.io positions itself as the world's leading Resilience Platform, combining a proprietary satellite constellation with a generative AI–integrated forecasting engine to deliver weather intelligence. The company says it operates a fully operational proprietary satellite constellation and leverages next-generation space technology, advanced AI, and proprietary weather modeling. Tomorrow.io is deploying DeepSky, described as the world's first AI-native weather satellite constellation, and aims to expand its space-based observation network. Its platform is used to provide real-time, actionable resilience intelligence and is trusted by six of the top ten Fortune 500 companies. The company has been recognized as a TIME 100 Most Influential Company and a Fast Company Most Innovative Company. The recent expansion of its Series F to $210 million is intended to accelerate its AI capabilities and further develop its agentic platform.

Participated · Series D · Nov 2022

Weka builds an AI-native data platform that creates "dynamic data pipelines" and uses a zero-copy architecture to eliminate time-consuming dataset copying and keep GPUs constantly fed. At the heart of the platform is WekaFS, a scale-out shared parallel file system that interfaces with PCIe-connected NVMe drives and supports varied data types, sizes, and I/O profiles. The company says the platform delivers 10x the performance of legacy NAS and 3x the performance of local server storage, improving GPU utilization and reducing energy use. Weka serves more than 300 customers, including 12 of the Fortune 50 and AI firms such as Stability AI, Midjourney, ElevenLabs, and The Center for AI Safety, as well as GPU-cloud providers like Iris Energy and Yotta. Financially, Weka's annual recurring revenue from its software subscription model has doubled year-over-year to exceed $100 million, and management projects it could triple or quadruple in the current fiscal year. The company plans to use capital to enhance the platform, invest in R&D and customer success, and scale hiring—aiming to grow its roughly 400-person global workforce by at least 25% this fiscal year. Weka builds data-virtualization software that lets customers move data between sources without making copies, aiming to remove storage as the bottleneck for GPU and high-throughput workloads. The company says it invented new algorithms, data structures and a network protocol that delivers RDMA zero-copy-like performance even on public cloud. Weka delivers its solution as a service, with some on-prem deployments and an increasing share of cloud transactions (43% of Q3 transactions from public cloud). The company has 300 employees and expects to double headcount in the next 12–18 months, and says hiring for diversity is a priority. Weka initially focused on high-performance computing and has expanded into commercial enterprise workloads as customers scale deployments. Financially, the company announced a $135M Series D on a $750M valuation and has now raised more than $293M to date. Weka provides a data platform designed to accelerate AI/ML, life sciences research, and high-performance computing workloads. The company is led by co-founder and CEO Liran Zvibel and is based in Campbell, California. Weka says eight of the Fortune 50 use its platform to solve large IT infrastructure problems and speed productivity. In FY21 the company delivered >2x ARR growth, >125% growth in new customers, and deployments in 18 new countries. It was recognized by Gartner as a Magic Quadrant Visionary and hit its 1QFY22 revenue target within the first 14 days of the quarter. Weka will use the new funding to accelerate go-to-market activities, operations, and engineering.

Led · Series A · May 2022

RGo Robotics builds a Perception Engine — a combined hardware reference design and software SDK — that runs on ultra-low-cost, low-power hardware to provide real-time perception data at the edge. The system delivers layered 3D perception via an API so robot control systems can perform path planning and autonomous behaviors in dynamic, real-world settings. RGo says its patent-pending computer vision and AI tech achieves human-level perception and has completed extensive field trials in challenging indoor and outdoor environments. The company reports design wins with global robot OEMs across multiple verticals and has closed over $10M in customer deals. RGo exited stealth to commercialize the Perception Engine and plans to expand both R&D and commercial teams to scale the product. The company was founded in 2018 and maintains offices in Caesarea, Israel and Cambridge, Massachusetts.