What it is and what it solves for an electric public transport operator.
KraftSync Transit is the AI operations assistant platform for electric public transport: it brings together the data on vehicles, duties, charging and energy that the operator already holds in separate systems, so the team can see early what needs attention and prepare the intervention. Reporting is generated from the same data. The reference configuration is built on the data of CTP Iași: 69 electric buses, 90 chargers, and the ticket validations and kilometres from one day of operation.
A large part of it, yes: the fleet of 69 electric buses (Solaris, BMC and Karsan, with their real battery capacities), the 90 chargers with their installed power, the 12,475 ticket validations from one day of operation and the energy tariff confirmed by CTP Iași. The current battery levels, the drivers and the duties are part of the reference scenario and are filled with the operator's data during integration.
Read access to the data you already have: vehicle telemetry for battery levels, the chargers, the duties and the departures, over open standards (OCPP for chargers, GTFS for routes) or by import. KraftSync does not ask you to replace your ticketing or planning systems; it puts them to work together. The duty plan can come from the system you already use.
Hans is the assistant in the platform. He explains what is happening in the fleet, shows the options and prepares the intervention: he takes the dispatcher exactly to the place where the decision is made, for example replacing a driver or moving a charging session. Hans does not do the calculations: duty range, the charging plan and the check of working-time rules are done by the platform's explicit rules, which the operator can read and adjust. Hans does not decide or execute anything on his own; the decision stays with the dispatcher. Data is sent to the model without people's names, and what is missing from the data is stated, not guessed.
Not yet. Maintenance uses a rule-based risk score built on explicit rules: overdue work orders, active defects, diagnostic signals, battery health, repeated alerts, mileage and age. The score says where a check is worthwhile and why, not how long a part will last. Predicting breakdowns needs a data history and models validated on the operator's fleet; it is built after implementation, not promised before.
No. On the current fixed tariff of CTP Iași, the saving from price differences between hours is potential and can only be realised on a market-indexed contract. Two benefits hold on a fixed tariff as well: the avoided load peak, which postpones investment in the grid connection, and charging only to the level needed, which is gentler on the battery.
Yes. The platform was built from the start for several operators: each one gets its own instance, at its city's address, with its own data and identity. Route data comes from GTFS, which is available for most operators in Romania.