YantriX engineers vision pipelines and edge machine learning systems directly coupled to physical robotics and industrial automation. From on-device YOLO models for robotic pick-and-place to automated defect inspection and Jetson inference pipelines integrated with ROS 2, we deliver deployable perception for hardware teams.
What we do
We deliver applied machine learning and computer vision services focused on hardware and robotics. (1) Computer vision & perception — object detection, segmentation, optical quality inspection, and pose estimation. (2) Edge model optimization — converting models to TensorRT, ONNX Runtime, and INT8/FP16 quantization for low-latency inference on NVIDIA Jetson, Raspberry Pi, and microcontrollers. (3) Vision-guided robotics — integrating vision nodes with ROS 2 Nav2 and MoveIt for closed-loop manipulation and obstacle avoidance. (4) Sensor fusion & telemetry — processing multi-modal camera, LiDAR, and IMU data on embedded compute. (5) Technical search & engineering knowledge retrieval — structuring CAD and engineering documentation for searchable team access.
Share your technical requirements, 3D CAD files, or operating specs. NDA support is available where required before confidential file exchange.
We adapt the same engineering service to different product contexts depending on the load case, packaging problem, validation target, or deployment environment.
Production-line fixturing, mechanical tooling, edge-inspection mounts, and machine-tending assemblies built to withstand factory environments.
Tailored engineering, mechanical design, and rapid prototyping solutions designed specifically for robotics and autonomous mobile systems (amr / agv) applications.
Tailored engineering, mechanical design, and rapid prototyping solutions designed specifically for automated optical inspection (aoi) applications.
Tailored engineering, mechanical design, and rapid prototyping solutions designed specifically for warehousing, sorting, and logistics applications.
Tailored engineering, mechanical design, and rapid prototyping solutions designed specifically for precision agriculture and field robotics applications.
See how this engineering capability applies across real project scopes, analysis goals, and physical prototype iterations.
Robotics · Embedded Vision & Edge AI
Embedded vision study deploying quantized neural networks on a low-cost ESP32-S3 microcontroller to classify surface and assembly defects locally without PC hardware.
Robotics · Vision Systems & Manipulation
Robotics engineering study demonstrating unstructured bin-picking using YOLOv11-Seg instance segmentation, 3D surface normal extraction, and collision-free grasp trajectory planning.
Mechanical CAD · Technical Data & Retrieval
Software architecture study developing a retrieval-augmented generation (RAG) system with hybrid search and citation tracking across engineering drawings and CAD documentation.
Explore practical engineering guides related to design, manufacturing, simulation, and product development.
Applied AI
Walkthrough of shipping a segmentation-class YOLOv11 model to a Jetson Orin Nano at production latency — quantization, TensorRT conversion, and the pitfalls.
Applied AI
A practical 2026 guide to sourcing AI and ML services in India — what's available, realistic project costs, when to outsource vs hire, and how to evaluate Indian AI vendors.
Applied AI
A practical guide to computer vision development services in India — what use cases work, how vendors price, and what production deployment really looks like.
Common questions teams ask before starting a project.
We focus on applied computer vision and edge machine learning for physical hardware: object detection and classification (YOLO), edge acceleration (TensorRT/ONNX on Jetson), vision-guided robotics integrated with ROS 2, and optical defect inspection for production lines.
Yes. We specialize in hardware-specific model optimization: FP16/INT8 quantization, TensorRT engine generation, memory footprint reduction, and thermal-aware benchmarking on Jetson Nano, Orin Nano, and Orin AGX.
We package perception models as modular ROS 2 nodes that publish detection bounding boxes, 3D poses, and point-cloud clusters directly into Nav2 costmaps or MoveIt planning scenes for real-time action.
Yes. An NDA can be coordinated before confidential CAD, camera streams, or proprietary dataset exchange where required.
Our engineering studio is in Surat, Gujarat, India. We work remotely with hardware teams across India and globally via milestone reviews and video walk-throughs.
Share your target latency, hardware constraints (Jetson / ESP32), and data availability. We build models and firmware that run reliably in the field.