Applied AI · Vision-guided robotics
Vision-guided bin picking at 80 ms end-to-end
Yantrix built a production vision stack that lets a 6-DOF arm pick randomly oriented SKUs out of a cluttered bin — running entirely on an edge device.
Applied AI & Machine Learning
AI & Machine Learning Services in India Services
Yantrix builds AI that ships with a product, not AI that lives in a slide deck. We design, train, optimize, and deploy machine learning systems for Indian engineering teams, hardware startups, and product companies — with a deliberate focus on real-world physical deployment, not cloud-only proof-of-concepts.
What we do
Practical support for targeted engineering work
We deliver end-to-end AI and machine learning services in India across computer vision, edge AI, ML-accelerated engineering, and LLM copilots. The full lifecycle: data strategy, dataset curation and labelling, model selection (YOLO, SAM, custom CNNs, transformers), training at scale, hardware-specific optimization (TensorRT, ONNX, TFLite Micro, OpenVINO), deployment to robots / embedded boards / production servers, and MLOps handoff with retraining pipelines and monitoring dashboards. We work under NDA on confidential product programs and ship binaries, firmware, and documentation — not just notebooks.
What problems we solve
- Move from prototype notebooks to models that run reliably on production hardware in Indian factories and field deployments.
- Deploy computer vision and perception directly on robots, cameras, and PCBs — with no cloud round-trips for latency-critical applications.
- Cut FEA / CFD design-exploration time with ML surrogates, generative design workflows, and physics-informed neural networks.
- Augment Indian engineering teams with LLM copilots that interact with CAD, simulation, and existing documentation.
- Optimize existing ML models for cost-effective deployment on edge hardware (Jetson, Coral, ESP32-S3, Raspberry Pi).
Tools we use
- PyTorch, TensorFlow, JAX
- Ultralytics YOLO (v8, v11), SAM-2, custom detectors
- TensorRT, ONNX Runtime, OpenVINO, TFLite / TFLite Micro
- NVIDIA Jetson (Nano, Orin Nano, Orin AGX), Google Coral Edge TPU
- ESP32-S3 with ESP-DL, Raspberry Pi 5 + Hailo
- Hugging Face Transformers, LangChain for LLM integration
- Roboflow, Label Studio for dataset operations
- Weights & Biases for experiment tracking, MLflow for model registry
- FastAPI, gRPC for model serving
- NVIDIA Modulus for physics-informed ML
Deliverables
- Trained and validated models with reproducible training pipelines
- Hardware-accelerated deployment binaries (TensorRT engines, ONNX models, TFLite quantized graphs)
- Integration with ROS 2 nodes, firmware, or product APIs
- Performance benchmarks — latency, throughput, accuracy, memory, power consumption
- MLOps handoff: retraining pipeline, monitoring dashboards, failure-case tracking, drift detection
- Documentation and engineering handover for the client team to own the system long-term
Use cases
Industries where this service applies
We adapt the same engineering service to different product contexts depending on the load case, packaging problem, validation target, or deployment environment.
Manufacturing and industrial automation
Relevant when the project needs focused ai & machine learning services in india support.
Robotics and autonomous mobile systems
Relevant when the project needs focused ai & machine learning services in india support.
IoT devices and smart cameras
Relevant when the project needs focused ai & machine learning services in india support.
UAV and drone perception
Relevant when the project needs focused ai & machine learning services in india support.
Consumer electronics
Relevant when the project needs focused ai & machine learning services in india support.
Agritech and precision agriculture
Relevant when the project needs focused ai & machine learning services in india support.
Healthcare imaging (non-diagnostic)
Relevant when the project needs focused ai & machine learning services in india support.
Retail and warehouse automation
Relevant when the project needs focused ai & machine learning services in india support.
Related work
Case studies connected to this service
These links help visitors move from service intent to real examples of engineering work.
Edge AI · On-device inspection
Zero-cloud defect detection camera on ESP32-S3
A production conveyor inspection camera running a quantized INT8 CNN entirely on an ESP32-S3 — no cloud, no PC, 18 FPS at 0.4 W.
ML-accelerated engineering
500x faster topology exploration with an ML-surrogate FEA
A physics-informed neural network trained on 12,000 ANSYS runs replaces the full solver for early-stage topology exploration — predicting von-Mises stress fields in ~40 ms.
FAQ
Questions teams ask before they engage
Service-specific questions are useful for both users and search visibility around intent-driven queries.
What AI and ML services do you offer in India?
Computer vision (object detection, segmentation, classification, OCR), edge AI deployment on Jetson / ESP32 / Coral / Hailo, ML-accelerated engineering simulation, LLM copilots and RAG systems for engineering workflows, and full MLOps handoff. We work across the full lifecycle from data strategy through production deployment.
Do you work with Indian manufacturing and factories?
Yes — vision-based quality inspection, defect detection, OCR for batch tracking, and pose estimation for robotic pick-and-place are recurring projects. We deploy on-premise where data sovereignty or latency matters, which is the norm for Indian factory floors.
Can you optimize a model we already have for Jetson / edge hardware?
Yes. Model optimization is a core service — quantization (INT8 / FP16), pruning, TensorRT / ONNX conversion, hardware-specific operator fusion, and benchmarking against latency / throughput / power targets. Most of our edge-AI engagements start with an existing model that needs to actually run fast on the target chip.
How much do AI / ML services cost in India?
Project pricing depends on scope. Small computer vision pilots (one model, one deployment target) typically run ₹3-8 lakh. Production deployments with MLOps handoff land in the ₹10-30 lakh range. Long-term engagements with retainer-based ML team augmentation are scoped per quarter. We quote fixed-scope projects after a free 30-minute discovery call.
Do you sign NDA for confidential AI projects?
Yes. NDAs are routine on all our AI / ML work, including for confidential product datasets, vision footage, and proprietary model architectures. We can sign your template or use ours.
Where is your AI / ML team based?
Our core team is in Surat, Gujarat. We work remotely with clients across India (Mumbai, Bangalore, Delhi, Pune, Hyderabad, Chennai, Ahmedabad) and internationally (US, EU, UK, UAE, Singapore). Client communication is over Slack / email / Google Meet — we don't require on-site presence for most engagements.
Can you provide ML team augmentation rather than fixed-scope projects?
Yes. We offer team augmentation engagements where Yantrix engineers join your team for a quarter or longer to drive ML strategy, build pipelines, and ramp up your in-house team. Scoped on a monthly retainer.
Start your project
Need ai & machine learning services in india support?
Send the problem, your current design stage, and any existing files. We can scope the work from there.