Energy
A regional demand forecast, ready every morning
Temperatures and regional consumption in a thermosensitivity model, refreshed every morning.
Use cases
What you build with graal
Seven end-to-end scenarios, from source to result in production, on your infrastructure. Each one sets out the challenge, the steps, what you get and what stays with you — and each one can become your pilot.
Typical scenarios
Seven use cases, one platform
Connectors, pipelines, lakehouse, notebooks, models and agents: every use case draws on the same building blocks, in a different order.
Industry
Failures anticipated, and an alert before downtime
Anticipate failures from sensor data, and alert before downtime.
Public sector
Your documents queried in plain language, with a model hosted on your premises
Query your internal documents with a model hosted on your premises, and answers that cite their sources.
Insurance
Unusual claims flagged, and every score explained
Flag unusual cases and explain every score.
Research
A notebook that becomes a scheduled, governed and monitored job
Turn a notebook into a scheduled, governed and monitored job.
Cross-industry
Agents that watch, diagnose and restart, under your rules
Agents that watch runs, diagnose and restart them, under control.
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.
Method
From use case to pilot, in 8 weeks
A use case chosen with you, played on your data and in your infrastructure. Then you decide, on evidence.
Week 1
Scoping
One use case, written success criteria.
Weeks 2–3
Installation
graal installed on your infrastructure.
Weeks 4–7
The use case, end to end
On your data, with your teams.
Week 8
Review
Results, delivered code and decision.
Prepare your use case as a pilot
One use case end to end, on your data, in your infrastructure, in 8 weeks.