Apex™
Optimize and Stabilize Operations with Autonomous Control
THE CHALLENGE
Fluctuations in Performance
Despite advances in automation, operational systems show significant variability in performance across machines, shifts, and facilities.
The same processes can yield dramatically different results depending on specific conditions, leaving substantial optimization potential untapped.
This inconsistency creates unpredictable fluctuations in performance even with skilled operators.
THE SOLUTION
Autonomous Optimization
Apex learns and applies optimal control strategies directly from your data, continuously adapting to dynamic conditions.
It functions much like a ship’s stabilizer system, maintaining smooth sailing so operators can focus on strategic decisions rather than constant adjustments.
The result is continuously maintained peak performance that doesn’t depend on perfect conditions.
PRODUCT COMPONENTS
Interact and Utilize AI in Daily Operations
Edge AI
Deploy Apex directly on-site for
immediate action without latency
– Real-Time Responses
– Hardware-Optimized
Autopilot Interface
Switch seamlessly between AI control
and manual operation
– Human-Supervised Automation
– Intuitive Override Controls
Decision-Centric AI
Target specific goals with customized optimization strategies
– Goal-Specific Performance Tuning
– Multi-Objective Optimization
OFFERINGS
Control & Optimize with Apex
Imitation Learning
Replicate expert control strategies by learning from domain-specific data
Leverage expert knowledge to ensure reliable control performance
Offline-to-Online
Reinforcement Learning
Deploy pre-trained algorithms in live environments with continuous learning
Ensure stable performance transitions from simulated to real-world operations
Multi-Objective Optimization
Balance competing performance metrics
Derive context-aware control strategies to meet diverse operational KPIs
Black-Box Optimization
Optimize unknown objective functions using input-output relationships
Reduce experimental costs by minimizing the number of system trials
Goal-Oriented Data Augmentation
Expand limited datasets through synthetic scenario generation
Enhance control robustness by simulating edge-case conditions
Physics-Informed Learning
Incorporate industry-specific physics constraints into AI model structures
Achieve high accuracy while ensuring resilience to data variability
INDUSTRY APPLICATIONS
Explore Applications of Apex
Discover how Apex works to control and optimize operations for each decision-making objective.
Autonomous Control & Manufacturing
Fount + Nest + Apex
Manufacturing Control Tower
Fount + Nest + Avian+ Sentinel + Apex