Participated · Series A · May 2026

Nova develops agentic AI that automates complex, mission-critical SAP workflows, beginning with the S/4HANA migration wave. The company positions migration as an initial wedge into a larger opportunity spanning development, testing, documentation, modernization, production issue resolution, and daily operations for SAP customers. Coverage highlights significant early traction and investor interest, with a seed led by Accel and Position Ventures as an early backer. Nova announced a $31.5 million Series A led by Chemistry to accelerate product deployment and customer adoption. Leadership cited in reporting includes Emma Qian, Sam Yang, and Prof. Dr. Alexander Zeier. Public statements emphasize targeting enterprises undergoing large-scale SAP modernization to reduce technical debt and avoid business disruption.

Participated · Equity · Oct 2022

Shippeo provides real-time shipment tracking across all transport modes via its Real-Time Transportation Visibility Platform, integrating with over 228,000 carriers and 1,100 TMS, telematics and ELD systems. The platform uses machine learning to deliver precise ETAs, enables Transport Process Automation™, and helps customers reduce logistics-related carbon emissions by surfacing carbon-footprint trade-offs between modes and carriers. Shippeo is trusted by hundreds of customers and global brands across 150 countries, tracking more than 90 million shipments annually. The company has strategic partnerships with e2open, Google and SAP and reports significant North American momentum, including a 40% increase in customers, a 92% rise in shipments tracked, and 210% year-over-year revenue growth in the region. Shippeo plans to use new funding to accelerate expansion in North America and APAC, including recently launched tracking capabilities in Mainland China, and to enhance its platform's data quality and capabilities. With total funding now exceeding $140 million, CEO Pierre Khoury says the company has one of the strongest balance sheets in its category. Shippeo builds a real-time multimodal transportation visibility platform that integrates with more than 875 TMS, telematics and ELD systems to provide instant shipment tracking in a single portal. Its proprietary machine-learning algorithms deliver high ETA accuracy (recently boosted by 32%) and the product includes ocean tracking, enhanced rail visibility via a partnership with Everysens, and a carbon visibility dashboard for CO2 monitoring. Shippeo tracks more than 28 million shipments per year across 92 countries and maintains a carrier network of over 150,000, with a reported 94% customer recommendation rate. Over the past three years the company expanded from a regional to a global leader, growing subscription revenues 80% year-on-year, adding 150 enterprise customers, keeping churn below 4%, and tripling headcount to over 220 employees. The company is accelerating North American and Asia‑Pacific expansion, supported by partnerships such as the recently announced e2open collaboration and new strategic investors focused on APAC. Financially, Shippeo reports a lean approach to cash burn, a clear path to profitability, a company valuation that grew 70% in the last 12 months, and total investment to date of over $110 million following the latest round. Shippeo offers a software-as-a-service platform whose core is an API integrating with transportation management systems, telematics products, ERP and electronic logging device technologies to provide real-time location data, delivery tracking and a proprietary ETA algorithm. The platform helps customers identify end-to-end logistics inefficiencies to lower transportation costs, increase customer satisfaction and improve sustainability. Shippeo has more than doubled its subscription revenues year-on-year and expanded its customer base in 2020 to include major shippers and 4PLs such as Kuehne+Nagel, Total, Hager and Krone. In October the company acquired French firm oPhone, bringing additional retail and manufacturing customers into its community. The workforce has more than doubled in the last 12 months to 160 employees, with 45% in R&D. Shippeo plans to use new funding to strengthen its market-leading position in Europe and continue delivering on product innovation. Shippeo offers an AI-based platform that aggregates data from hundreds of sources in real time to calculate estimated time of arrival with 98% accuracy. The company provides predictive and real-time visibility into goods delivery for shippers and carriers. Since its founding in 2014, Shippeo has scaled operations, serving more than 50 large customers across 40 countries. The team has grown tenfold and now comprises 80 employees across seven offices in Europe. Over the last year Shippeo increased its turnover by 300%, positioning it among the fastest-growing startups in Europe. The company aims to become the global leader in a roughly $6 billion market and plans to use its platform to improve operational efficiency and visibility into sustainability impact for the transportation industry. Shippeo develops a supply-chain visibility platform that lets businesses track and monitor truck shipments in transit in real time, providing status, location and potential delay information. The software aims to increase transparency around deliveries and improve customer support. The company is Paris-based and currently serves 30 customers, with a goal to double that number within two years. Shippeo plans further expansion in the French market and to enter the German market in early 2018. The company intends to hire up to 40 new people and boost product development by implementing new interfaces to improve productivity. CEO Pierre Khoury said the new capital will allow accelerated international business development while maintaining strong R&D investments.

Participated · Series B · May 2022

Manta builds a data lineage platform that automatically scans data sources and maps data flows, using AI to trace sources and show lineage across databases, reporting tools and modeling software. The product includes features such as time‑slicing to view historical data states, impact analysis for planned changes, monitoring for discrepancies and connectors/API to surface analyses in native dashboards or third‑party governance tools. Manta emphasizes that it maps customers’ data‑processing environments without coming into contact with the data itself. The company reports about 100 customers, including very large enterprises from the Fortune 100 and Fortune 500. Founded in 2016 by Tomas Kratky, Manta competes with players like Collibra, Informatica, Monte Carlo and Databand. It has offices in New York, Prague, Lisbon and Dublin and recently established a headquarters in Tampa Bay. With the new funding, Manta plans to expand its headcount from 152 to 220 by the end of the year. MANTA provides an automated, API-first data lineage platform that connects to enterprise technology sources, downloads programming code, and analyzes it to generate detailed maps of data flows and dependencies. The platform is positioned to augment data management by turning metadata from passive information into an active driver, improving visibility into data journeys and contextualizing assets for end users. MANTA says its automation accelerates development, speeds modernization, and boosts governance, data quality, and data privacy efforts. The company claims productivity gains for data teams of 30–40% and that impact and root-cause analyses are performed up to 95% faster and more accurately. Its visual, self-service lineage presentation is intended to simplify system migrations and reduce time and resource costs associated with data management. The product messaging emphasizes enabling organizations to understand, control, and programmatically manage their data environments.

Participated · Series A · Nov 2021

Jina.ai’s core product is the open-source Jina framework, which uses deep learning, transfer learning and representation learning to convert unstructured inputs into mathematical vector representations for neural search. The company also offers Jina Hub, a marketplace for reusable building blocks, and Finetuner, a tool for fine-tuning neural networks. The Jina framework launched in May 2020 and has almost 200 external contributors and a developer community of about 1,000 users, with applications ranging from game asset search to legal‑tech document Q&A. Jina.ai raised a $30 million Series A led by Canaan Partners, bringing total funding to $39 million to date. The company plans to use the new funding to double its team, expand operations in North America, and invest in R&D to grow the Jina ecosystem and launch new tools and services. CEO and co-founder Han Xiao has described Jina as aiming to become the de facto standard for neural search, akin to TensorFlow for search.

Led · Equity · Nov 2021

Feather by SAP is an employee-led, enterprise-ready cloud solution that enables brands and retailers to take back, manage, and resell pre-owned inventory while tracking financial, customer, and sustainability performance indicators. It offers three core features: the recommerce experience (in-house business processes and storefront posting), recommerce manager (analytics and performance dashboards), and recommerce take-back (product intake, buy-back journeys, and store-credit management). The platform integrates with leading commerce and returns solutions to deliver a seamless one-checkout shopper experience while preserving brands' control over processes, data, and experience. Feather targets large premium apparel, fashion and luxury brands and retailers that want to own recommerce activities and capture secondary product value. The venture was incubated within SAP.iO Venture Studio and is led by general manager and founder Joanna Maryewska. As part of its initial financing, Feather received nearly US$3.5 million (EUR 3 million) from SAP.iO Venture Studio to accelerate development and market rollout.