Lascaris is a sovereign fleet operating platform for environments where physical safety is paramount and streaming latency is non-negotiable. A network of autonomous agents on Lascaris ingests raw ROS and ROS 2 telemetry straight from your robots into a zero-rebalance Kafka spine, maintaining a live spatial memory graph to optimize fleet pathing, predict mechanical failure, and govern actuation. It runs entirely on your own infrastructure or edge nodes, providing complete auditability for safety compliance, regulators, and after-action reviews.
Eliminate partition rebalance freezes
Robots operating on unstable Wi-Fi or mobile networks cause traditional brokers to drop streams during rebalance pauses. Lascaris handles transient edge dropouts cleanly via stateless ingestion brokers, maintaining sub-millisecond local telemetry flow and preventing dropped sensor frames.
Live spatial shared graph memory for AI
Raw kinematic feeds and LiDAR points are converted instantly into property graph state in shared memory. Transient sensor noise auto-expires while persistent physical hazards and actuator thermal trends stay locked in graph context for multi-agent reasoning across the entire fleet.
Governed actuation & full sovereignty
Agent reasoning loops are decoupled from direct topic publishing via strict policy rails. Every command directed to execution topics passes through hard deterministic constraints like velocity and geofence envelopes, leaving an immutable audit trail on local S3 storage.
