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Sybilion

Category: AI in Supply Chain / Logistics

AI-powered decision layer for industrial companies, connecting external market dynamics to internal exposure to help manufacturers navigate volatile markets Sybilion was founded in 2021. The company is led by Dr. Bjol R. Frenkenberger. Based in Porto, Portugal. Team size: 11-50. Total funding raised: $4.8M. Latest round: Seed. Key investors include VentureFriends, Semapa Next, Vanagon Ventures, EWOR, GoHub Ventures.

Founded
2021
Headquarters
Porto, Portugal
Team size
11-50
Total funding
$4.8M

Value proposition

Sybilion provides a decision intelligence platform that analyzes over one trillion external risk factors (commodity prices, freight rates, weather, trade flows, macroeconomic indicators) and maps them directly to a company's cost structures and product portfolios, enabling procurement, sales, and finance teams to align and commit earlier with quantified risk boundaries.

Products and solutions

Sybilion Decision Platform (AI-powered decision layer), Sybilion Connect (integration system for embedding recommendations into client workflows), Commodity-specific solutions (Copper, Crude Oil, LNG, Wheat), Industry-specific solutions (Chemical & Petrochemical, Metal & Steel, Packaging & Paper, Textile & Apparel), Role-specific solutions (Chief Procurement Officers, Data Scientists

Unique value

Sybilion filters over one trillion external risk factors to surface only the handful that materially affect a specific company's products and margins, then structures the decision moment itself — clarifying options, trade-offs, and quantified risk boundaries — rather than delivering isolated forecasts. This enables teams to commit earlier with shared confidence.

Target customer

Industrial and manufacturing companies — chief procurement officers, data scientists, procurement managers in chemicals, petrochemicals, metals, steel, packaging, paper, textiles, and apparel industries

Industries served

Chemical & Petrochemical, Metal & Steel, Packaging & Paper, Textile & Apparel, Commodities trading

Technology advantage

Processes 1+ trillion external risk factors including weather, trade flows, freight rates, electricity futures, commodity prices, port congestion, industrial utilization, and macroeconomic indicators. Maps external signals directly to product-level exposure and cost structures. Achieves setup in under 2 weeks with no direct integrations required. High six-figure ARR with zero churn and no dedicated sales team.

How they differentiate

Unlike traditional supply chain planning platforms (Blue Yonder, Kinaxis, Anaplan) that focus on internal demand forecasting and inventory optimization, Sybilion takes an outside-in approach — connecting external world dynamics (weather, trade flows, geopolitics) directly to internal exposure. Unlike data providers (ICIS, S&P Global) that deliver reports and data feeds, Sybilion structures the decision moment itself with quantified trade-offs and risk boundaries, enabling teams to commit earlier rather than just providing more data.

Main competitors

Blue Yonder, Kinaxis, Anaplan, ICIS (S&P Global Commodity Insights), Andercore

Key partnerships

VentureFriends (lead investor), Semapa Next (lead investor), Vanagon Ventures (pre-seed investor), EWOR (pre-seed investor), GoHub Ventures (seed participant)

Notable customers

K.D. Feddersen (international distributor of engineering plastics), Jobachem (chemical company), Maral Overseas (vertically integrated textile producer)

Major milestones

2021: Company founded, 2025: $600K pre-seed round co-led by Vanagon Ventures and EWOR, 2026-03: $4.2M seed round co-led by VentureFriends and Semapa Next, Reached high six-figure ARR with zero churn

Growth metrics

High six-figure ARR; zero churn over past year; no dedicated sales team; +60% forecast accuracy gain for customers; $2M margin protected for Maral Overseas; 92% smart purchase timing accuracy for Jobachem

Market positioning

Early-stage AI decision intelligence layer for industrial companies, positioned at the intersection of supply chain planning, commodity intelligence, and AI-driven decision support. Targeting a gap between traditional ERP/SCM systems and fragmented market data providers.

Geographic focus

Europe (headquartered in Porto, Portugal); serving global industrial clients across Europe and Asia

About Dr. Bjol R. Frenkenberger

Ex-University of Oxford (PhD researcher on decision-making under uncertainty); 6+ years in startups (Tokyo, EU; business development, management, 0-1 scaling); Co-founded a health-tech startup in Tokyo that went public. PhD from Oxford on decision-making under uncertainty. Entered university at age 12. Concert pianist.

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