Your AI investment.
Its actual value.
Close the gap between a better operational KPI and a defensible financial result. Valora helps manufacturing finance and AI teams trace impact, challenge attribution and decide what deserves more investment.
One use case first. Evidence before expansion.
Our measurement commitments
The value chain
Not another dashboard.
A case you can defend.
An improved metric is a starting point, not an ROI claim. Build the link from intervention to economic outcome—and keep every assumption open to scrutiny.
Built around manufacturing decisions
Maintenance. Quality. Inventory. Start where operational data and financial ownership meet.
Establish the counterfactual.
Start with operational history, deployment dates and a comparison group. Document seasonality, demand shifts and other interventions before claiming an AI effect.
Translate impact into money.
Connect attributable downtime, scrap or inventory changes to finance-approved unit economics. Separate cash savings from released capacity and avoided costs.
Make the next investment defensible.
Bring assumptions, total implementation costs and confidence ranges into one evidence trail. Decide what to scale, investigate or stop.
Illustrative value model
Less downtime.
But how much value?
Only count additional capacity as financial value when it can be sold. Validate attribution and contribution margin with finance.
Assumes all recovered units are sold and the effect is attributable to AI. Example only—not a customer result or a guarantee.
Plans & scope
Start focused. Expand with evidence.
Explore the available subscriptions below. Agree your assessment scope, data requirements and any implementation work before committing.
Free
For individuals getting started
$0/month
- 1 workspace
- Up to 3 team members
- Basic analytics
- Community support
Before you begin.
From AI activity to financial accountability
Make your next AI decision
an evidence-based one.
Bring one use case. Identify the evidence your finance team needs.