into throughput and revenue losses. The Problem In data-intensive operations — ports, terminals, and logistics networks — the data exists. The systems exist. But the intelligence layer that connects operational data to fast, structured decisions does not. Critical signals are buried across multiple systems: TOS, ERP, WMS, crane telemetry, gate systems, vessel scheduling platforms. Issues are typically understood only after they have already impacted operations. Teams rely on manual monitoring, end-of-shift reporting cycles, and reactive communication. KPIs show outcomes — not causes. Decision-making is slow by design, not by necessity. This creates a structural gap between signal and response — a gap that grows more costly as operational complexity increases. The Solution Syntask introduces a lightweight Operational Intelligence layer that sits above existing port and logistics infrastructure. It continuously processes operational data streams, detects anomalies and deviations, and surfaces prioritised, actionable signals to the right teams — in real time, not at end of shift. Unlike traditional BI tools that visualise historical data, Syntask is built for operational speed. It does not replace existing systems. It makes them smarter by adding the intelligence layer they are missing. Four core principles: Zero heavy integration: Connects to existing exports, APIs, and operational systems. No infrastructure replacement. First data connection in 15-20 minutes. Operator-in-the-loop: Human operators validate signals and the system learns continuously. Detection accuracy improves with real operational conditions. Signal-first, not dashboard-first: Ranked, actionable alerts delivered directly to operational teams — closing the loop from signal to decision. Root cause intelligence: Not only what happened — but why. Signals are traced to their operational source, enabling faster and more informed responses. Market Syntask operates at the intersection of Operational Intelligence, Decision Intelligence, and Industrial AI — a market opportunity exceeding $17.8B globally, with logistics and ports as the initial high-urgency wedge. Initial Focus: Ports and Terminal Operations Ports represent an ideal entry point: highly data-intensive, operationally complex, and under increasing pressure to improve efficiency. Most port operators today have built digital data infrastructure but have not yet developed the intelligence layer to act on it in real time. Active pilot discussions are ongoing with PSA Singapore, Port of Helsinki, Port of HaminaKotka, and Mersin International Port. Expansion: Logistics and Supply Chain Beyond ports, Syntask addresses the same structural challenge in multi-modal logistics. Active engagement is ongoing with Barsan Global Logistics — a $1.2B+ operator with presence in 65 countries — to surface hidden profitability signals across their global network. Business Model Entry via 90-day paid Proof of Concept with a single operational scenario. Successful PoC converts to a SaaS subscription. Initial deployment expands to additional terminals, regions, or operational domains as value is demonstrated. Traction Active pilot discussions with PSA Singapore, Port of Helsinki, Port of HaminaKotka, Mersin International Port, and Barsan Global Logistics. Business Finland Tempo Funding 2025. TNA Finland Female Tech Founder Frontrunner 2025. Shortcut Spark Academy 2024. Helsinki City Hall Female Founder Pitching Competition 2024. Vision Syntask evolves from internal operational intelligence into a signal distribution layer across supply chain ecosystems — enabling organisations to share structured, actionable signals rather than raw data. Port authorities share congestion signals with trucking companies. Logistics operators share delay signals with cargo owners. A new coordination layer across the supply chain — where the speed of information matches the speed of operational reality. Syntask is building the decision intelligence layer for the world's most operationally complex industries — starting where the signal-to-action gap costs the most.