Guardian
Zero-trust permissions
Every critical operation can route through approval checkpoints, identity verification, and constrained execution scopes.
Trusted system architecture
Trusted
physical control
with local cognition
Lumi is engineered around precise execution, local intelligence, and safety controls that support trusted physical automation.
Physical interaction engine
Context
Memory
Guard
Control
Action
Recall
Feedback loop
Perception, memory, approval, and actuation remain tightly coupled for reliable embodied execution.
Physical interaction
Break past API limits and operate the visible world directly
Lumi’s technology story starts with a simple proposition: what the system can see, model, and verify, it can control with repeatable physical precision.
Vision-guided actuation
Perception and movement planning work together so Lumi can react to real interfaces, layouts, and state changes as they happen.
Accuracy
99.8%
Latency
< 50ms
Interaction model
Lumi treats the mobile surface as a live environment instead of a static script target, which makes it more adaptable in changing interfaces.
Security architecture
Guardian layers turn raw capability into trustworthy operation
Privacy, approval workflows, and constrained execution are built into the platform as core operating principles.
Edge runtime
On-device processing
Sensitive context, memory graphs, and decision logic remain close to the hardware for stronger privacy guarantees.
Perception filter
Sensitive-scene masking
Visual intelligence can blur or abstract private regions before downstream action planning starts.
Long-term memory
Memory that improves over time without compromising control
01
Structured memory graph
Convert repeated interactions into durable patterns that Lumi can recall and refine without losing user ownership.
02
Persistent learning loops
Let the assistant improve over time while keeping execution explainable, reversible, and grounded in real action history.
03
Right to forget
Provide explicit controls to clear, rewind, or segment memory so users remain in charge of what the system retains.
Context
Habits
Safety
Plans
Recall
Control
Lumi models memory as a structured graph of context, safeguards, and intent so the system can improve without losing transparency or user control.
Get Started
Dive deeper into Lumi’s execution and memory model
Learn how Lumi combines local processing, approval controls, and persistent memory to support trusted physical automation.