Participated · Series A · May 2026

Founded in 2019 by Mattia Montagna and Hoi-Kwong Lo out of a leading quantum security research group, Quantum Bridge Technologies develops quantum-safe cryptographic solutions centered on its patented Distributed Symmetric Key Establishment (DSKE) protocol. The DSKE protocol enables organisations to generate, distribute, and manage symmetric keys via a decentralized architecture that aims to remove single points of failure, improve scalability, and strengthen long-term cryptographic resilience. The company’s platform is designed to work across existing infrastructure, vendors, and security layers, allowing customers to add quantum-safe protection from optical encryptors to application-level systems without disrupting operations. Quantum Bridge positions its technology as practical and deployable today to address the systemic threat posed by emerging quantum computing. The company has raised a total of $16 million to date, including the recent $8 million Series A, and plans to use the new capital to accelerate global adoption and expand customer deployments.

Participated · Series B · Mar 2024

Greenly is a five-year-old, Paris-based startup whose core product is carbon accounting software that ingests customer utility data, freight bills, cloud computing usage and financial records and uses its own data and algorithms to calculate emissions by category and scope. The company targets SMBs and mid-market firms that lack headcount to track carbon, offering a lower-cost alternative to in-house teams. Last year Greenly recorded over $10 million in annual recurring revenue, and CEO Alexis Normand intends to double ARR annually for the next several years. To support growth, Greenly plans to expand beyond company-level carbon accounting into automated life cycle assessments for individual products, a process that is typically weeks or months when done manually. The startup emphasizes automation to speed assessments and help smaller suppliers meet requirements from large buyers in manufacturing, garments and construction. Greenly leverages its carbon accounting expertise to make product-level footprinting more accessible to smaller companies. Greenly offers a software-as-a-service platform that calculates corporate carbon emissions, stores and tracks them, and generates certified carbon footprint reports following the Greenhouse Gas Protocol. The product automates data collection via integrations with accounting and financial systems (it uses Codat) and dozens of other data sources. It can estimate emissions automatically for low-priority items and prompt users for more granular inputs on larger emission sources. Greenly is building additional integrations with electricity providers, cloud services, and e-commerce platforms (for example, Shopify) to capture more data automatically. The platform also enables customers to request supplier data through a portal, consolidate responses, and grade suppliers, creating a viral adoption loop. The company serves about 400 customers (roughly 90% SMEs) and has opened an office in the U.S. to address the American market. Greenly is a Paris-based SaaS startup that provides carbon accounting and AI-powered analytics to help organizations lower their carbon emissions. Its product automates emissions analytics through accounting integrations and APIs (electricity, cloud services, etc.) and includes an AI recommendation engine that suggests practical ways to reduce emissions, such as less carbon-intensive supplier alternatives. The company focuses on simplifying carbon accounting for SMEs with an intuitive platform. Proceeds from the recent fundraise will be used to accelerate deployment of its B2B SaaS, further develop technology, expand technical and R&D teams, hire carbon footprint experts, and build a sales team to scale beyond France into Europe and the US. Greenly raised $3M in a seed round to support these plans. The company was founded in 2019 by Alexis Normand, Matthieu Vegreville, and Arnaud Delubac in Paris. Greenly aims to grow from a few hundred customers to thousands.

Participated · Series B · Nov 2023

Aleph Alpha, founded in 2019, develops large language models and AI offerings that emphasize customer sovereignty, EU-regulated data protection and security. The company often works with governmental bodies, law enforcement and healthcare clients and focuses on deployments that can run on-premise, in cloud or hybrid setups. It positions itself to help large corporates deploy LLMs internally while preserving control over implementation. Aleph Alpha has about 70 employees. Management says the company will continue to expand its offerings while maintaining independence and flexibility for customers on infrastructure and cloud compatibility. The startup has attracted strategic corporate backers, underscoring its enterprise and public-sector focus. Aleph Alpha researches, develops and operationalizes large, multimodal AI systems aimed at generalizable AI, offering GPT-3-like text, vision and strategy models. The company plans to run a public API so public and private-sector users can run experiments and build applications. It emphasizes open-source community engagement, academic partnerships, and adherence to European values, ethical standards and GDPR. Aleph Alpha aims to provide a sovereign, EU-based compute infrastructure for European public and private sector customers. The funding will accelerate bringing the latest generation of AI technology into application and support digital sovereignty goals. Headquartered in Heidelberg and founded in 2019, the company has so far raised a total of €28.3M ($33.3M). Aleph Alpha develops strong Artificial General Intelligence (AGI) technology and provides access to its models via an API for partners in academia, government and industry. Headquartered in Heidelberg and founded in 2019, the company emphasizes 'Made in Europe' AGI with a focus on data sovereignty and handling sensitive information. It plans to start with a German GPT-3–style model for high-security environments and then expand to new application environments, other EU countries, and sectors. The €5.3 million seed funding is intended to support research, development, operationalization of AGI and to attract European AI scientists and engineers. Aleph Alpha aims to build European thought leadership on AGI and create a European AI ecosystem to reduce reliance on non‑European providers. Founder and CEO Jonas Andrulis, formerly AI Research Director at Apple’s Special Projects Group, leads the technical team and industry-science network.

Participated · Series D · Jun 2023

Flywheel offers an enterprise imaging platform that aggregates, curates, and analyzes medical imaging and video data at scale, helping customers streamline research workflows and prepare AI-ready datasets. During 2025 the company broadened its product suite with a video viewing and annotation tool and launched Flywheel Validated, which supports 21 CFR Part 11–compliant imaging workflows for clinical trials. Its customer roster now includes 10 of the top 20 global pharmaceutical companies and 10 of the top 20 academic medical centers. Commercial traction was strong, with 43 % year-over-year growth in new business, a 40 % increase in committed revenue, and annual recurring revenue from pharma and device customers up 106 %. Net revenue retention exceeded 110 %, underscoring sticky usage and expansion within existing accounts. Backers of the company include Novalis LifeSciences, 8VC, NVIDIA, Microsoft, Novartis, and Intuitive Surgical. The new capital will be used to accelerate product innovation and further penetrate the clinical trial and AI model development markets.

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.