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BEYOND AUTOMATION, HUMAN-CENTERED ROBOTS
01
Who We Are?
Kanaria Tech builds KRM: a foundational AI system that powers mobile robots with social navigation, self-learning, and human-level awareness.
We help robotics companies achieve high-level autonomy (L4–L5) through plug-and-play APIs that turn machines into intelligent, socially aware agents.
02
Our Business
Kanaria Tech
We develop the Kanaria Robotic Model (KRM), a foundational AI platform that gives autonomous robots the perception, the ability to predict future and act thoughtfully to co-exist with humans harmoniously.
Our OEM partners handle the hardware part. Their expertise in systems integration ensures seamless compatibility with KRM.
OEMs
03
Our Mission
Today's robots fall short in dynamic human environments.
Kanaria Tech’s mission is to unlock Level 4 autonomy by building KRM, a foundational AI model that enables robots to navigate, adapt, and learn socially.
We aim to bridge the gap between machine autonomy and human reality, opening new possibilities in healthcare, logistics, and beyond.
04
Kanaria Robotic Model (KRM)
01
Socially-Aware Navigation
KRM enables robots to move safely and naturally in human environments. It goes beyond obstacle avoidance: recognizing, predicting, and adapting to human behavior in real time.
02
Self-Learning in the Real World
KRM allows robots to learn from every interaction. As environments change, the model evolves: reducing manual reprogramming and enabling sustained autonomy over time.
03
Built for Scalable Deployment
From hospitals to warehouses, KRM is designed to work across industries. Its social intelligence and adaptability make it easy to scale robot operations where traditional systems fail: reducing the need for constant human supervision, cutting operational costs.
L0
Remote Control
Fully manual operation with no autonomy; requires constant human control.
MOBILE ROBOT
L1
Physical Line Tracking
Follows pre-installed physical lines;
limited to controlled environments.
L2
Virtual Path Tracking
Follows digital paths mapped in advance; no real-time decision-making.
L3
Auto Navigation
Navigates autonomously using sensors;
can avoid obstacles but lacks social awareness.
L4
Social Auto Navigation
Understands and adapts to human behavior in shared environments.
05
Definition
MOBILE ROBOT
Navigation Levels
Each level marks a critical step in the evolution of autonomous navigation - from basic path-following to self-learning in complex human environments. Despite their significance, these stages have remained largely undefined within the industry.
L5
Self Learning Navigation
Continuously learns from experience to
improve navigation without manual updates.
06
Trusted By
