Engines

Decision engines mapped to EBITDA levers

For private equity operators and mid market enterprises with complex decision flow. Each engine deploys inside your environment with governance and measured outcomes.

Engine atlas

Decision problems and outcome ranges

Each engine pairs a decision owner with levers, governance, and measurable outcome targets.

Featured pillar

Revenue Engine

Pricing and commercial decisions that protect margin and win rate.

Set price corridors with demand and capacity signals.

Outcome range
Margin lift 2 to 6 points
Discount discipline and revenue quality control
Decision levers
List price
Discount policy
Segment mix
Input signals
Current price
Unit cost
Baseline demand
Outputs
Recommended price
Expected demand and revenue
Gross margin and contribution margin
Efficiency Engine

Operational decisions that release working capital and stabilize service.

Balance inventory policy and service targets under volatility.

Decision levers
Safety stock policy
Reorder point
Outcome range
Working capital release 8 to 20 percent
Service level stability with reduced backorders
Strategic Engine

Capital allocation decisions with downside protection and hurdle rate confidence.

Compare portfolio scenarios under volatility and capital constraints.

Decision levers
Capital allocation mix
Risk tolerance
Outcome range
Downside risk reduction 15 to 35 percent
Capital allocation confidence with scenario ranges
Capability Engine

Model reliability and governance that protect value in production.

Reduce drift exposure and restore accuracy with automation.

Decision levers
Monitoring cadence
Retraining automation
Outcome range
Decision error reduction 15 to 35 percent
Value at risk reduction 20 to 40 percent

Platform capabilities

Shared platform foundations

Data ingestion, monitoring, and governance are standardized across every engine.

Data ingestion Secure connectors
Monitoring Drift and accuracy tracking
Governance Audit and access controls