Kartrix.AI provides a hybrid perception platform that fuses data from LiDAR, radar, cameras, IMU, GPS and other sensors into a low‑latency, deterministic stream for autonomous systems. The solution combines AI‑driven sensor fusion with deterministic algorithms on an edge‑to‑cloud architecture, delivering real‑time localization, mapping, and object identification with full traceability for safety‑critical applications.
Funding
Funding not disclosed
Founders
Product
Problem
Autonomous systems operating in air, land, and sea environments must process data from multiple heterogeneous sensors—LiDAR, radar, cameras, IMU, GPS, and others—to make safety‑critical decisions. Existing pipelines often rely on separate, high‑latency processing stages or purely AI‑based models that lack deterministic guarantees, leading to unreliable perception in complex or degraded conditions.
Solution
Kartrix.AI offers a hybrid perception platform that fuses heterogeneous sensor inputs into a single, low‑latency perception stream suitable for real‑time autonomous decision‑making. The platform combines AI‑driven sensor fusion with deterministic execution, running on an edge‑to‑cloud architecture that delivers immediate results at the edge while remaining scalable across deployments. It provides high‑precision localization, mapping, and attitude estimation, as well as object and action identification with end‑to‑end traceability, enabling predictable and accountable outcomes in safety‑critical scenarios.
Target Audience
Primary customers are developers and integrators of autonomous vehicles, drones, and maritime platforms that require reliable, real‑time perception for navigation, safety, and situational awareness.
Features
- Real‑time multi‑sensor fusion of LiDAR, radar, cameras, IMU, GPS, and future modalities such as thermal, audio, and ultrasound
- Hybrid processing that blends deterministic algorithms with AI models for robustness and explainability
- Edge‑centric execution with cloud scalability, ensuring low latency while supporting large deployments
- Integrated SLAM, map‑based localization, and pose/attitude estimation resilient to degraded signals
- Object and action identification with contextual interpretation and full traceability from perception to decision