AI-native operations planning
Ventoux is building an AI-native operations planning system designed to keep plans current as demand, inventory, supply, constraints, policy, and authority change without sacrificing evidence, control, or accountability. We are starting with supply planning design partners.
Our thesis
Zero-day planning is the shift from periodically rebuilding the plan to continuously maintaining a governed planning state.
The goal is not instant automation. The plan stays current as the business changes, so teams can focus on material exceptions and decisions instead of periodically rebuilding the planning state. When a formal planning deadline arrives, the work should be review, resolution, and release, not reconstruction.
01
Trusted evidence
02
Planning model
03
Exceptions
04
Options
05
Governed decision
06
Planning record
Where Ventoux starts
Market 01
For manufacturers, distributors, and brands whose planning has outgrown spreadsheets but should not require heavyweight planning-platform drag.
Demand, inventory, replenishment, procurement, capacity, supply, service, and margin pressure.
Market 02
For medication teams turning fragmented purchasing, inventory, utilization, supplier, policy, and clinical evidence into approved action.
Shortages, substitutions, 340B exposure, supplier constraints, usable inventory, and governance burden.
Our north star
Ventoux is building an AI-native operations planning system across data preparation, forecasting, supply planning, monitoring, reporting, and governed AI agents. It keeps the planning state current as demand, inventory, supply, commitments, constraints, and policy change.
Current planning state.
Evidence-backed planning math.
Governed AI agents.
Fast path without platform drag.