The path to shovel autonomy starts here.
AI that understands shovel operation — powering operator augmentation today and autonomous excavation tomorrow.
Operator variability. Missed production.
Operator performance varies significantly from shift to shift and person to person. Mines often know the gap exists, but lack a practical real-time way to identify the cause and improve performance while the shift is still happening.
- Skill gap and low operating experience
- Infrequent & inconsistent training
- High operator turnover
- Limited real-time feedback
- In-cab information overload
A three-phase roadmap to autonomous excavation
From real-time understanding of shovel operation, to in-cab operator guidance, to autonomous excavation.
Foundational Shovel Intelligence
Builds a real-time understanding of shovel operation. It captures motion, context, and decision-making across digging and cycle execution.
- 50+ platform deployments
- Field-proven system
- Available today
Operator Augmentation
Real-time coaching and AI-assisted workflows that help operators perform closer to top-performer level every shift.
- Real-time coaching
- Actionable recommendations
- Immediate productivity gains
Autonomous Excavation
Extends intelligence into autonomous control systems, enabling physics-informed excavation decisions.
- Built on existing intelligence layer
- OEM integration ready
- Autonomous-ready system
Understanding shovel operation in real time
Foundational Shovel Intelligence provides the context needed to diagnose variability, guide the operator, and ultimately enable automation.
Bucket Position & Trajectory
High-fidelity understanding of path, location, and motion during the cycle.
Cycle Timing & States
Automatic state identification and decomposition of shovel cycle timing.
Dig Effort & Material Interaction
Quantify digging effort and how the machine interacts with the face.
Vibration & Structural Stress
Track vibration signatures, damaging events, and machine stress indicators.
Anomaly Detection
Detect operational anomalies and out-of-pattern behavior across telemetry.
From shovel intelligence to operator action
Rigid turns Foundational Shovel Intelligence into real-time operator augmentation — improving technique, consistency, and productivity directly in the cab.
- Real-time coaching focused on operator behavior
- Recommendations grounded in productivity drivers
- Workflow-based decision support
More output from the same shovel, same crew
In a 12-month shovel baseline containing 548 shifts, our system identified 2.9 million tons of missed production — equivalent to a up to 24% potential increase over current performance.
Rigid’s foundational shovel intelligence layer monitors shovel operating context in real-time, identifying lagging KPIs, and intervening during the shift to help close the gap between current and achievable performance.
Built on real mining deployments
The sensing foundation has already been deployed commercially in mining environments and refined through years of field use.
Platform deployments
Commercial deployment and support experience
Field-proven across multiple shovel pilots / sites
Ready for deployment, support, and scale
Enterprise-grade data security
Rigid Robotics maintains a strong security posture with continuous monitoring and external assessment. Operational data is handled using practices designed for industrial and critical infrastructure environments.
- Maintaining A to A+ rating on SecurityScorecard, as an ongoing external security audit
- Successfully passed tier-2 mining company cyber security assessment under critical vendor status
- Designed for enterprise customer confidence around data security, ownership, and confidentiality
Contact us to discuss what you are interested in
Whether you simply have a question, are exploring this for your operation, or are interested in integrating this into your systems, we’d be happy to connect.
