Participated · Series C · May 2026

Fonoa offers a modular tax operating system built to manage the full indirect tax lifecycle on a single shared data model and audit trail. Its modules include tax ID validation, real-time tax determination, e-invoicing, and returns, with AI agents that monitor obligations, populate returns, catch anomalies, and assemble audit packs. The company supports tax determination across 190+ jurisdictions, validates tax IDs in 100+ countries, powers e-invoicing for millions of sellers, and processes more than a billion transactions annually. Fonoa was founded by three Uber alumni and counts customers such as Canva, Uber, Netflix, Nebius, and Booking.com. With the $110M Series C and the acquisition of PwC’s Edge platform, Fonoa plans to integrate compliance and filing capabilities, scale engineering resources, and accelerate AI-enabled features toward an autonomous tax operating system.

Led · Series B · May 2026

Pivot offers an AI operating system for enterprise procurement and finance teams that centralizes sourcing, approvals, purchasing, invoicing, payments, budgets, expenses and reporting. The platform integrates with ERP and financial systems and supports complex multi-entity environments to provide real-time visibility into committed spending. Pivot emphasizes AI-driven workflow automation and agentic AI to shift manual procurement tasks to automated processes while preserving financial controls and reporting accuracy. Since launching in 2023, the company has expanded to more than 25 countries and processes approximately $3 billion in invoices annually. Customers named by the company include DoorDash, Lemonade and Flix. Pivot plans to use new funding to accelerate agentic AI development, deepen ERP integrations and expand into additional enterprise markets.

Participated · Series C · Dec 2025

Founded in 2019 as an EPFL spin-out, Neural Concept offers an AI-first engineering platform that embeds geometry-aware, physics-based deep learning directly into computer-aided design (CAD) and simulation workflows. The software lets engineering teams explore millions of design options early, cutting late-stage redesigns by 30–50 %, shortening time-to-market by up to two years, and saving customers an estimated $50 million annually. Over the last 18 months, the company recorded a fourfold increase in enterprise revenue and now counts more than 50 global customers, including General Motors, GE Vernova, Renault Group, Safran and several Formula 1 teams. Near-term product plans include launching a generative CAD capability in early 2026 and deepening partnerships with Nvidia, Siemens, Ansys, Microsoft and AWS. The fresh capital will also fund global go-to-market expansion and reinforce Neural Concept’s position as the intelligence layer across engineering systems.

Led · Series A · Jul 2025

Datavations, founded in 2020 by Philip Odelfelt and Jacob Lucas, builds AI- and machine-learning-powered intelligence for the building materials and home improvement sectors. Its product suite offers assortment, pricing, and inventory optimization tools to help manufacturers and retailers improve retail execution. The company is New York–based and targets data-driven decision-making for manufacturers selling through retail channels. Datavations will use new funding to scale its team, advance product development, expand across North America, and strengthen client relationships. Financially, the company has raised $17.0M in this Series A, bringing total funding to $27.0M to date. Datavations builds the Commerce Alert Hub, a market intelligence platform that uses proprietary datasets, data analytics, and machine learning to help consumer durables manufacturers make informed decisions. The platform targets manufacturers seeking to gain and maintain market share and boost margins. Customers named in the article include Saint Gobain, Masco, Spectrum Brands, Bosch, and Masonite. The company is led by CEO Philip Odelfelt and recently added JR Becko as Chief Revenue Officer to lead growth initiatives. Datavations plans to use the new capital to further develop Commerce Alert Hub functionality and to execute its go-to-market strategy through sales and marketing efforts.

Led · Series B · Mar 2025

Buynomics offers AI-embedded software that simulates real-world shoppers to help enterprises optimise pricing, promotions, and product portfolios. Its platform enables organisations to improve revenue, profitability, and market positioning in real time across channels, product portfolios, and geographies. The company reports its Virtual Shoppers AI drives 2–4% gross profit increases while cutting analysis time by up to 80%. Buynomics is operational in over 25 companies with customers including Danone, Unilever, L'Oréal and Vodafone. Founded in 2018, the company has raised over $46 million to date following a $30 million Series B. The latest funding will be used to support global expansion, particularly into North America, and to further enhance its Virtual Shoppers AI technology. Buynomics provides a SaaS platform that helps enterprise customers make commercial and revenue-management decisions by predicting consumer behavior. The company leverages machine learning and behavioral-economics insights and has developed a Virtual Customer technology that models preferences and buying decisions of large groups. Its technology integrates transaction and survey data to improve precision across pricing, promotions, and product-innovation decisions. Buynomics plans to use new funding to widen its lead in predicting consumer behavior, grow its product and commercial teams, and expand into the US market. The startup has a diverse team of over 50 people representing 17 nationalities and intends to open a US office in Q1 2023. Founded in 2018, the company is headquartered in Cologne, Germany. buynomics has developed a DeepTech, AI-powered SaaS platform that simulates purchase processes to predict how customers will react to price and product-portfolio changes. The software helps companies determine optimal pricing and forecast resulting revenue and profit effects. The startup counts mobile-network operators, insurers and consumer-goods manufacturers among its early customers. buynomics was founded in 2018 by Ingo Reinhardt and Sebastian Baier and is based in Cologne. At the time of the report the team comprised around 10 employees. The company recently attracted external capital in the form of a six-figure investment.