Marine logistics · Helsinki
Intelligent systems for marine logistics
Enlightened Bits designs and builds intelligent systems for shipping companies, ports and freight forwarders.
Solutions
Intelligent systems for the routine work of shipping.
Arrival planning
Predicts when each ship will reach its berth, and recommends the speed that gets it there on time instead of early.
- ETA from AIS, weather and port data
- Just-in-time speed advice
- Fuel and emissions saved, per voyage
Fleet knowledge
An assistant that answers from your own manuals, procedures, charter parties and voyage history.
- Works on board without a connection
- Points to the source document
- Ashore and at sea
Cargo documents
Bills of lading, invoices, customs declarations and certificates are read, checked and filed.
- Fields read straight into your systems
- Mismatches flagged for review
- A searchable archive
Emissions reporting
Fuel and emissions data gathered from voyage records into the reports EU ETS, FuelEU Maritime and MRV require.
- Fuel and CO₂ for every voyage
- Report drafts ready for verification
- Missing data caught early
Agentic workflows for leadership
Agents gather figures from your systems, prepare reports and meeting material, follow up on open items and draft replies. Leadership decides; the agents do the groundwork.
- A weekly situation report from your own systems
- Meeting material and replies drafted
- Every step logged and approved by a person
Your infrastructure
Your data stays where it is.
Shipping data is commercially sensitive, and ships are often on a thin connection. We build on open models and run them where you decide.
- On board and ashore. Runs on the vessel or in your own server room, and keeps working on a weak satellite link.
- Confidential. Rates, customers and routes do not pass through anyone else's cloud.
- Fits your systems. Results arrive through APIs, dashboards or the tools your team already uses.
How we work
One workflow at a time, proven before it is extended.
Map
We sit down with your operations team and find the workflow where an intelligent system saves the most hours.
Pilot
We build it on your real data and run it alongside your current process.
Run
Once it does the job better than the old way, we put it into production and keep improving it.
Contact