Industry
Failures anticipated, and an alert before downtime
Anticipate failures from sensor data, and alert before downtime.
← All industries
Transport and logistics
Flows forecast and equipment kept running, with your own data
Traffic, bookings, telemetry from rolling stock or machinery: graal Data Platform brings your series together on your infrastructure, forecasts flows and anticipates failures; graal Agentic Platform hands the monitoring of your jobs to AI agents, under your rules.
What is at stake
Three texts that concern your data
NIS2: a highly critical sector
Directive (EU) 2022/2555 lists transport — air, rail, water and road — among the sectors of high criticality (Annex I).
AI and traffic management
Regulation (EU) 2024/1689 classifies as high-risk the AI systems used as safety components in the management and operation of road traffic (Annex III, point 2).
Data Act: your equipment's data
Applicable since 12/09/2025, the Data Act gives businesses the right to access the data produced by their use of connected machines and devices.
How graal responds
Forecast, keep running, delegate
Forecast
Series, pipelines, model and the morning workflow: the forecasting chain applies to passenger and freight flows alike.
Keep running
Equipment telemetry feeds a risk model served over REST, with drift monitoring and alerts.
Delegate
AI agents watch the nightly jobs and propose the useful actions, through a scoped service account and with human approval.
The transposition of NIS2 into French law is under way. According to ANSSI, the directive will take effect in France "once all the transposition texts (law, decrees, orders) have been promulgated".
Capabilities involved
graal Data Platform
From source to model in production
- Connectors
Traffic, bookings and equipment telemetry, loaded from S3 or your databases.
- Orchestration and compute
Workflows, triggers and distributed Spark.
- Machine learning
A risk model served over REST, with drift monitoring and alerts.
- Governance
Per-project permissions and an audit of every action, human or agent.
graal Agentic Platform
Your AI agents move your processes forward
- Agent workflows
Agents that watch the nightly jobs and propose the useful actions.
- Guarantees and approvals
A scoped service account and human approval before any write.
Use cases
Cross-industry
The operations of your workloads, handed to governed agents
Governed agents operate the Data Platform’s runs, with human approval before any write.
Cross-industry
Your data platform taken over, jobs and data included
Move from Saagie, Hadoop or a SaaS by bringing your Python and Spark jobs along.
Recommended deployment
On your Kubernetes or OpenShift, on-premises or in your private cloud, or with a SecNumCloud-qualified hosting provider. High availability, backup and restore for critical workloads.
How to buy
An 8-week pilot on a first use case, then an annual vendor subscription per vCPU, unlimited users. Transport authorities and public operators can use the simplified purchasing routes described on the Pricing page.
Frequently asked questions
Can we forecast flows with the energy forecasting chain?
Yes. The "Forecast energy demand" use case describes a chain — ingestion, preparation, model, daily workflow — that applies as is to traffic or booking series.
What about continuity of service?
graal deploys in high availability, with backup and restore, and is observed with your own tools through Prometheus and OpenTelemetry.
Does NIS2 already impose obligations on us?
Transposition into French law is under way. graal already helps you trace and document: per-project permissions, an audit trail of human and agent actions.
Let's talk about your flows and equipment
A specialist walks you through a first forecasting or maintenance use case, on your infrastructure.