Automation that goes beyond control logic.
We design and deploy intelligent industrial automation systems that go far beyond traditional control logic. By fusing AI, robotics, IoT, and edge AI, we create autonomous, self-optimizing operations that raise productivity, reduce downtime, and improve safety.
Our systems perceive their environment, learn from operational data, and act independently — driven by real-time insight and multi-agent AI architectures. We bring Industry 4.0 to life through tightly integrated hardware and software stacks that run at the edge, speak industrial IoT protocols, and adapt in dynamic industrial settings.
Built for the factory floor.
01
Autonomous Robotics & CV-Driven Quality Control
Precision automation with vision-enabled intelligence
We deploy robots integrated with advanced computer vision and real-time control to handle intricate industrial tasks such as visual inspection, sorting, and material handling.
- Defect detection — real-time anomaly detection with 99.9% accuracy using deep neural networks
- ROS-based robotics — orchestration of robotic arms, AGVs, drones, and conveyors
- Adaptive automation — systems adjust to variations in input, materials, and production conditions
Edge advantage: Vision models are optimized for edge devices like NVIDIA Jetson and Coral TPU, for low-latency decisions at the source.
02
Predictive Maintenance with IoT & Edge AI
Prevent downtime before it happens
We combine IoT telemetry, edge AI inference, and digital twins to detect failures before they occur — cutting costs and increasing machine reliability.
- Sensor fusion — real-time data from vibration, temperature, and motor sensors
- Anomaly detection and alerts — continuous monitoring with models trained on historical patterns
- Prescriptive insights — root-cause analysis and intelligent maintenance scheduling
- Digital twin integration — simulated performance models for forecasting and planning
Tech stack: MQTT, Modbus, STM32, LoRa, Jetson Nano/Orin, TensorRT, InfluxDB, Grafana.
03
Cognitive Supply Chain Automation
LLM-powered logistics and warehouse intelligence
Our intelligent agents and LLM-driven platforms optimize supply chain logistics with natural language interfaces, smart material movement, and collaborative multi-agent control.
- Autonomous AGVs — ROS-based navigation for transport within warehouses and shop floors
- LLM-driven inventory management — queryable, voice-enabled systems powered by domain-specific LLMs
- Multi-agent collaboration — distributed agents manage fulfillment, procurement, and routing in real time
Value delivered: Improved delivery times, reduced stockouts, and AI-assisted decisions across procurement, warehousing, and distribution.
Hardware and software, one team.
Edge-to-cloud engineering
Systems that run from embedded devices to the cloud, with real-time responsiveness and operational resilience.
ROS specialists
Deep proficiency in ROS/ROS2 for scalable, interoperable robotics deployments.
AI + robotics fusion
Computer vision, LLMs, and agentic AI integrated into robotic workflows for intelligent adaptation.
Industrial-grade delivery
From embedded controllers to predictive analytics dashboards — end-to-end, production-ready systems.
Research-backed builds
Active research in intelligent agents, edge AI optimization, and smart factory architectures feeds every deployment.