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From raw sensors to real-time decisions

Hybrid perception for real-time autonomous decision-making.

Kartrix.AI builds a unified hybrid perception platform for dynamic and safety-critical environments. We turn heterogeneous sensor data into reliable, actionable intelligence by combining AI-driven sensor fusion with deterministic systems delivering low-latency perception at the edge while remaining scalable across deployments.

AI-driven fusion Deterministic + AI Edge–cloud hybrid Traceable decisions

Built for autonomy and situational awareness across air, land, and sea.

Platform

Kartrix.AI is a hybrid perception platform designed to transform heterogeneous sensor data into reliable, actionable intelligence. It combines AI-driven perception with deterministic execution and an edge <-> cloud architecture to operate in real time at the edge while scaling across deployments.

Real-time multi-sensor fusion

Unified perception from diverse sensor modalities to improve robustness in complex environments.

  • LiDAR, radar, cameras
  • IMU, GPS (when available)
  • Thermal, audio, ultrasound, and other sensors (future versions)

Localization, mapping, and attitude estimation

High-precision spatial awareness supporting navigation, stability, and environment understanding.

  • SLAM and map-based localization
  • Pose and attitude estimation
  • Resilience to degraded signals

Interpretation and traceability

Perception that goes beyond sensing to support understanding, accountability, and safety.

  • Object and action identification
  • Contextual interpretation and intent cues
  • End-to-end traceability from perception to decision
Hybrid by design: Kartrix.AI combines deterministic algorithms with AI-based perception to balance robustness, explainability, and adaptability. This enables predictable behavior where required, while leveraging learning-based methods where they provide clear operational benefits.

Products

Start with the SDK to integrate quickly. Use the Black Box when you want a plug-and-deploy edge setup.

Perception SDK

Integrate into your autonomy stack

Modular libraries for fusion, localization, identification, and tracking with clean interfaces for robotics and autonomy platforms.

Integration
C++ / Python / ROS2-friendly
Architecture
Edge–cloud hybrid
Traceability
Perception → decision
Outputs
Tracks, maps, safety signals

Typical engagement: evaluation → pilot integration → licensing and deployment support.

Black Box

Edge deployment unit

A deployable edge option for low-latency perception, controlled sensor I/O, and offline-capable operation suited for safety-critical environments.

Compute
NVIDIA-class edge modules
I/O
Multi-sensor ingest
Operation
Low-latency, offline-capable
Deployment
Plug-and-deploy edge setup

Available with or without cloud connectivity depending on deployment constraints.

Applications - Where it matters

Kartrix.AI is designed for environments where conditions change unpredictably and perception quality directly impacts safety and performance.

Autonomous drones and mobility

Robust perception for navigation support, tracking, and operational awareness in dynamic spaces.

  • Low-latency edge perception
  • Object and action identification
  • Situational awareness

Smart infrastructure

Perception services that support mobility across air, land, and sea integrated at the edge and scalable across sites.

  • Multi-modal sensing
  • Contextual interpretation
  • Risk evaluation at scale

Industrial automation and monitoring

Continuous perception for critical assets and safety-relevant operations in complex environments.

  • Tracking and anomaly signals
  • Safety signals and alerts
  • Deployment flexibility
Beyond sensing: In environments where conditions change unpredictably, perception must include contextual interpretation, intent awareness, and scalable risk evaluation not only detection.

Traction

Signals of execution: pilots, partnerships, and ecosystem validation.

Validation

  • Accelerator support: MITdesignX (Dubai)
  • Engineering delivery orientation (SDK + deployable unit)
  • Focus on deterministic, edge-capable perception
MITdesignX Dubai Paris

Engagement model

Designed for procurement clarity and predictable integration cycles.

  • Technical discovery (requirements, sensors, compute)
  • Evaluation (bench + field data)
  • Pilot deployment (edge or Black Box)
  • Scale (licensing, support, production readiness)

Contact

Request SDK access, a demo, or a technical call. We typically respond within 1–2 business days.

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Prefer email ? Drop us a line at contact@kartrix.ai