A product system for intelligent machines.
Xolver is built as a set of connected products for teams bringing intelligence to real machines, from task understanding to local operation and review.
Xolver VLA
Action intelligence for physical machines.
Xolver VLA helps robots and industrial systems understand instructions, read the work area, and propose useful next steps instead of only replaying fixed automation.
Use it for
- Instruction understanding
- Task-aware behavior
- Adaptive workflows
- Manipulation and navigation intelligence
Xolver World Model
Prediction and operational understanding for the physical world.
Xolver World Model helps evaluate what may happen before a machine commits to an action, then compares those predictions with real outcomes.
Use it for
- Operational state snapshots
- Outcome prediction
- Risk review
- Prediction-vs-outcome comparison
Xolver Nerve
Local operation for guarded machine intelligence.
Xolver Nerve runs important parts of the system close to the machine for fast response, resilience, readiness review, and local records.
Use it for
- Fast local response
- Deployment readiness
- Machine health signals
- Local records
- Offline resilience
Xolver Console
The command center for physical AI.
Xolver Console gives teams one place to prepare, review, monitor, recover, and improve intelligent machine workflows.
Use it for
- Workcell review
- Prediction review
- Pilot readiness
- Rollouts and recovery
- Readiness reports
Xolver Sentinel
Observability for robots and physical AI systems.
Xolver Sentinel helps teams monitor machine state, understand incidents, replay operational context, and guide recovery through reviewable records.
Use it for
- Live monitoring
- Incident timelines
- Signal freshness
- Recovery review
- Evidence records
From model output to governed machine action.
The AI can propose an action. Xolver predicts likely outcomes, checks the action against operating boundaries, runs approved behavior close to the machine, and records the result for review.