At this time, Porto-based Sybilion introduced a €3.6 million ($4.2 million) Seed spherical to construct what it calls a call layer, designed to provide industrial firms the flexibility to behave earlier and defend margins in risky markets.
The spherical was co-led by Venturefriends and Semapa Subsequent. This announcement comes simply months after their €517k ($600k) pre-Seed spherical, co-led by Vanagon Ventures and EWOR.
“Industrial firms don’t lack information,” says Dr Bjol R. Frenkenberger, CEO and co-founder of Sybilion. “They lack readability about which alerts really matter and when to commit. Our objective is to provide decision-makers the data benefit to allow them to flip exterior world dynamics into assured motion earlier than uncertainty turns into value.”
Sybilion’s Seed spherical comes amid a broader wave of European funding in AI-driven platforms designed to enhance procurement, provide chain visibility and operational decision-making.
In 2025, Magentic, primarily based in London, raised €4.6 million to scale autonomous AI brokers that automate procurement and supply-chain operations, whereas fellow London startup Procure AI secured €11 million to construct AI-native instruments geared toward serving to enterprises stabilise sourcing and provide chains. One other UK firm, Monq, raised €2.5 million in pre-Seed funding to develop an AI-driven strategic negotiation platform designed to enhance procurement outcomes.
Elsewhere in Europe, Berlin-based Freshflow secured €6.5 million to increase its AI platform for automated ordering and stock optimisation in grocery provide chains, whereas London-based Treefera raised €26.2 million in a Collection B spherical to scale its supply-chain transparency and threat intelligence platform.
Extra lately, Berlin startup Andercore secured €33.5 million in fairness and debt financing to increase its AI-enabled industrial commerce platform throughout Europe.
Collectively, these financings characterize roughly €84 million invested throughout adjoining segments of commercial resolution intelligence and supply-chain software program over the previous yr.
Inside this panorama, Sybilion’s strategy – linking exterior alerts corresponding to commodity markets, logistics information and macroeconomic indicators on to procurement, pricing and operational choices – displays a rising deal with AI techniques that transfer past forecasting dashboards towards structuring and guiding real-time enterprise choices in risky industrial environments.
“Industrial firms are being pressured to make bigger choices on shorter timelines as volatility turns into the norm. We’re excited to assist Bjol and the group as they grow to be the choice layer for manufacturing,” provides Apostolos Apostolakis, Founding Companion at VentureFriends.
Based in 2021, Sybilion connects exterior world dynamics – commodity markets, vitality, climate, logistics and macro alerts – to the choices that form margin, engaged on high of techniques firms already run.
In response to the corporate, just a few weeks of mistimed procurement in manufacturing can erase hundreds of thousands in margin. But a lot of the trade nonetheless makes billion-euro choices utilizing spreadsheets, fragmented analyst experiences, and intuition.
Most producers as we speak have entry to historic information feeds, analyst experiences, and inner forecasts – however Sybilion believes they nonetheless wrestle to reply which threat components really matter for an organization, for a product set, at this second.
Procurement, gross sales, and finance typically work from completely different inputs and attain completely different conclusions. By the point alignment occurs, markets have often already moved and margins are diminished. This value is detrimental; even a 3 to 5 % timing error on a €172 hundreds of thousands ($200 million) value base can reportedly translate into hundreds of thousands in margin erosion.
Sybilion approaches the issue from the surface in. The system identifies which alerts materially have an effect on an organization’s publicity and hyperlinks them on to value constructions and product portfolios. Relatively than delivering one other remoted forecast quantity, Sybilion constructions the choice second itself, clarifying life like choices, trade-offs, and quantified threat boundaries so firms can commit earlier.
Its platform filters a couple of trillion exterior threat components, together with climate anomalies, commerce flows, freight charges, electrical energy futures, commodity costs, port congestion, industrial utilization, and macroeconomic indicators.
Grégoire Viat, Principal at Semapa Subsequent says: “We had been impressed by what Bjol and the group at Sybilion have in-built a brief time period. Sybilion delivers clear, measurable worth to industrial prospects, addressing a elementary want for resolution confidence in an more and more risky provide chain setting. We’re happy to assist the founders as a long-term accomplice as they proceed to scale the enterprise.”
Over the previous twelve months, Sybilion has grown annual recurring income to excessive six-figures, with zero churn and no gross sales group.
Use circumstances:
- Ok.D. Feddersen, a global distributor of engineering plastics, used Sybilion to align earlier on crucial pricing and buy choices round world polymer commerce flows and feedstock dynamics.
- At Jobachem, the platform enabled well timed dedication with built-in vitality futures and upstream commodity alerts to border procurement choices with quantified threat boundaries.
- For Maral Abroad, ahead commerce move evaluation made it attainable to take knowledgeable export allocation choices by figuring out areas the place demand was strengthening.
Wanting forward, Sybilion plans to deepen its mapping from exterior alerts to product-level publicity and resolution suggestions, broaden “Sybilion Join” integrations so actions land straight inside consumer workflows, and increase from perception supply into agentic planning assist that helps groups decide the subsequent greatest transfer underneath uncertainty.
The long-term objective is to provide industrial decision-makers a bonus that compounds, turning uncertainty from a menace into an edge.
“Bjol is among the most fascinating founders I’ve been lucky sufficient to satisfy. He’s a piano prodigy, a builder, a tutorial, a pacesetter,” says Daniel Dippold, CEO and Founding father of EWOR. “With Sybilion, he managed to construct the biggest dataset of time-series information I’ve seen so far and orchestrates it in a manner that provides industrial groups a call benefit nobody else can supply. Much like Bjol, Sybilion is one among a form. Their know-how is constructed like a musical masterpiece, they’re rising quick, and Bjol has assembled a novel group that will have by no means come collectively had been it not for his management.”
