Inferensys

Services

Physical AI and Industrial Robotics Integration

Integration of machine learning intelligence directly into the real world, powering autonomous robots, drones, and smart equipment for immediate operational impact across manufacturing and logistics. Sub-services include computer vision for autonomous warehouse robotics, physical AI for drone-based infrastructure inspection, reinforcement learning for manufacturing robotic arms, and spatial computing interfaces for industrial machinery.
MLOps engineer reviewing model serving infrastructure on laptop, container orchestration visible, technical workspace.
Services

Physical AI and Industrial Robotics Integration

Integration of machine learning intelligence directly into the real world, powering autonomous robots, drones, and smart equipment for immediate operational impact across manufacturing and logistics. Sub-services include computer vision for autonomous warehouse robotics, physical AI for drone-based infrastructure inspection, reinforcement learning for manufacturing robotic arms, and spatial computing interfaces for industrial machinery.

Industrial AI Agent Development

Development of autonomous AI agents that perceive, plan, and act within physical industrial environments, coordinating tasks like material handling, quality checks, and machine diagnostics without constant human oversight.

Multi-modal AI for Physical Systems

Integration of AI systems that fuse data from cameras, LiDAR, force sensors, and audio to create a unified perception model for robots and autonomous equipment, enabling robust operation in complex, unstructured environments.

Edge AI Deployment for Robotics

Engineering of low-latency, high-reliability AI inference pipelines deployed directly on robotic controllers and edge devices, ensuring autonomous decisions are made in real-time without cloud dependency.

Reinforcement Learning Integration Services

Application of simulation-to-real (Sim2Real) reinforcement learning to train robotic policies for complex manipulation and navigation tasks, optimizing for adaptability and performance in variable real-world conditions.

Spatial Computing Interface Design

Development of intuitive AR/VR and 3D spatial interfaces that allow human operators to program, monitor, and collaborate with industrial robots and AI systems using natural gestures and visual overlays.

Autonomous Mobile Robot (AMR) AI Integration

Integration of advanced navigation, fleet orchestration, and task allocation AI into Autonomous Mobile Robots, enabling seamless material movement and coordination within dynamic warehouse and factory floors.

Robotic Perception System Development

Engineering of specialized computer vision and sensor fusion stacks for robots, including 6D pose estimation, anomaly detection, and scene understanding, tailored for specific industrial tasks like bin picking or assembly.

Industrial AI Safety and Compliance Engineering

Implementation of AI-driven safety systems, including real-time human presence detection, predictive collision avoidance, and compliance frameworks for standards like ISO 10218 and ISO/TS 15066 for human-robot collaboration.

Real-time Sensor Fusion AI

Architecture of high-frequency data fusion pipelines that combine inertial measurement, vision, and proprioceptive sensor data to provide a stable, accurate state estimation for precise robotic control and navigation.

AI for Robotic Arm Precision Control

Development of AI-powered motion planning and adaptive control algorithms for industrial robotic arms, enabling sub-millimeter accuracy for tasks like welding, dispensing, and micro-assembly despite environmental variances.