Sybilion raises USD $4.2m to power industrial decisions

Sybilion has raised $4.2 million in seed funding for software that links external market signals to a manufacturer's internal exposures, as industrial companies face tighter decision windows across commodities, energy, and trade.

VentureFriends and Semapa Next co-led the round, the Porto-based startup said. Sybilion also disclosed a $600,000 pre-seed round co-led by Vanagon Ventures and EWOR.

Sybilion positions its product as a "decision layer" for heavy industry. The software is aimed at procurement, sales, and finance teams that often work from different forecasts and data sources-something Sybilion says can delay alignment and compress margins when markets move.

Manufacturers increasingly operate with large cost bases tied to volatile inputs such as energy and raw materials. Sybilion argues that mistimed procurement decisions can materially affect profitability, and points to the continued use of spreadsheets and fragmented analyst reporting in many industrial settings.

How the platform works

The platform connects external signals to internal cost structures and product portfolios. It also filters and organises more than one trillion external risk factors, according to Sybilion. Inputs include weather anomalies, trade flows, freight rates, electricity futures, commodity prices, port congestion, industrial utilisation, and macroeconomic indicators.

Rather than presenting a single forecast, Sybilion structures decision options, trade-offs, and risk boundaries around specific exposures. It says this can help teams align earlier on pricing, purchasing, and allocation decisions.

"Industrial companies do not lack data," said Dr. Bjol R. Frenkenberger, CEO and co-founder of Sybilion. "They lack clarity about which signals truly matter and when to commit. Our goal is to give decision-makers the information advantage so they can turn external world dynamics into confident action before uncertainty becomes cost."

Founders and origins

Frenkenberger founded Sybilion with Nuno Barros, Jonas Falkner, and Friedrich Weninger. The company traces its origins to Frenkenberger's academic work on decision-making under uncertainty at the University of Oxford, and to observations of how industrial firms struggled to convert external market dynamics into operational choices.

Sybilion says it built the product to map external developments to company-specific exposures rather than provide broad market commentary. It also aims to shorten the time between a signal and a committed, cross-functional decision.

Investors backing the round framed the product as timely for manufacturers operating under sustained volatility. "Industrial companies are being forced to make larger decisions on shorter timelines as volatility becomes the norm. We're excited to support Bjol and the team as they become the decision layer for manufacturing," said Apostolos Apostolakis, founding partner at VentureFriends.

Customers and traction

Sybilion reported "high six-figures" in annual recurring revenue over the past 12 months. It also claimed zero churn and said it has no sales team.

Sybilion cited several customer examples. K.D. Feddersen, an international distributor of engineering plastics, used the platform to align pricing and purchasing based on polymer trade flows and feedstock dynamics, the startup said. Jobachem used it for procurement planning using energy futures and upstream commodity signals. At Maral Overseas, Sybilion said trade flow analysis informed export allocation by highlighting regions with strengthening demand.

"We were impressed by what Bjol and the team at Sybilion have built in a short period of time. Sybilion delivers clear, measurable value to industrial customers, addressing a fundamental need for decision confidence in an increasingly volatile supply chain environment. We are pleased to support the founders as a long-term partner as they continue to scale the business," said Grégoire Viat, Principal at Semapa Next.

Sybilion also argues that volatility has shifted from episodic shocks to a persistent operating condition. In its view, companies that interpret external signals earlier can secure supply on better terms and reduce the need for emergency logistics or reactive production changes.

Product roadmap

Sybilion plans to deepen how it maps external signals to product-level exposure and decision recommendations. It also plans to expand "Sybilion Connect" integrations so actions land inside existing client workflows. The company added that it is working on "agentic planning support" to help guide next-step decisions under uncertainty.

EWOR pointed to the underlying datasets and Frenkenberger's profile.

"Bjol is one of the most fascinating founders I've been fortunate enough to meet. He is a piano prodigy, a builder, an academic, a leader," said Daniel Dippold, CEO and founder of EWOR. "With Sybilion, he managed to build the largest dataset of time-series data I have seen to date and orchestrates it in a way that gives industrial teams a decision advantage no one else can offer. Similar to Bjol, Sybilion is one of a kind. Their technology is built like a musical masterpiece, they are growing fast, and Bjol has assembled a unique team that would have never come together were it not for his leadership."

Sybilion said it will use the new funding to build integrations and decision-support features as it expands from insight delivery into planning support for industrial teams operating under market uncertainty.