Services
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
How We Work
One-fit-all AI don't work for modern businesses. At Inferensys, we aim to understand your business & custom requirements; which we use to define most efficient agentic workflows, the data, and the tools for your business.
01
We understand the task, the users, and where AI can actually help.
Read more02
We define what needs search, automation, or product integration.
Read more03
We implement the part that proves the value first.
Read more04
We add the checks and visibility needed to keep it useful.
Read moreThe first call is a practical review of your use case and the right next step.
Talk to Us
