Applied AI & ML
Applied AI & Machine Learning
Production AI for physical systems — computer vision, edge inference, ML-accelerated engineering, and LLM copilots built to run on your hardware.
Our services
Engineering & Product Development Services
Yantrix supports product teams with simulation, mechanical design, robotics, embedded systems, and prototype development. We help move ideas from concept to validated hardware with clear, engineering-first deliverables.
Services overview
Quick access to every core service
Each service links to its own dedicated landing page so visitors can go deeper into the exact engineering support they need.
Computer vision & robotics perception
Computer Vision for Robotics
End-to-end vision pipelines for robotic perception, manipulation, and industrial quality inspection — tightly integrated with our ROS 2 stack.
Edge AI & embedded intelligence
Edge AI & Embedded Machine Learning
ML that runs on-device — custom PCBs, microcontrollers, and edge compute modules with quantized models, firmware integration, and hardware-accelerated inference.
ML-accelerated simulation & design
ML-Accelerated Engineering
Neural-network surrogates for FEA/CFD, generative design exploration, and physics-informed models that make engineering iteration dramatically faster.
Simulation services
FEA Analysis
Finite Element Analysis services for structural validation, load-case review, and design optimization before prototype release.
Thermal and flow simulation
CFD Analysis
CFD analysis services for airflow, heat dissipation, pressure behavior, and thermal performance in enclosures and product systems.
Mechanical design
CAD Design & DFM
CAD design and DFM services for production-ready part modeling, assemblies, packaging studies, and prototype-friendly design decisions.
Automation systems
Robotics Development
Robotics development services covering ROS 2 systems, mechanical integration, control workflows, and prototype-ready automation builds.
Electronics engineering
PCB / Embedded Systems
PCB and embedded systems support for control hardware, electronics packaging, and prototype-level device integration within product development programs.
Prototype validation
Prototyping
Rapid prototyping services for engineering validation, fit checks, functional models, and manufacturable iteration planning.
3D Printing & Rapid Prototyping
3D Printing Services in India
End-to-end 3D printing services in India — FDM, SLA, and SLS production across PLA, ABS, PETG, TPU, Nylon, and engineering resins. Surat-based studio shipping prototypes and small-batch parts to teams worldwide.
Applied AI & Machine Learning
AI & Machine Learning Services in India
Production AI and machine learning services in India — computer vision pipelines, edge AI deployment on Jetson and ESP32, ML-accelerated engineering, and MLOps. Surat-based studio shipping models that run on real hardware.
Robotics & Automation
Robotics Development Services in India
End-to-end robotics development services in India — ROS 2 architecture, Nav2 autonomous navigation, MoveIt manipulation, custom AGV / AMR builds, and mechatronic integration. Surat-based studio with deployments across Indian manufacturing and warehousing.
Mechanical Design & CAD
CAD Design Services in India
Professional CAD design services in India — parametric SolidWorks modeling, Fusion 360 design, sheet metal with K-factor, DFM-ready production drawings, and reverse engineering. Surat-based studio working with manufacturing teams across India.
Detailed services
Built for real engineering deliverables
Every service is framed around what we do, the problems we solve, the tools we use, and what the client receives at delivery.
Applied AI & Machine Learning
What we do
Yantrix designs, trains, optimizes, and deploys machine-learning systems for robotics, embedded products, and industrial engineering. We handle the full lifecycle — data strategy, labelling, model selection, training at scale, quantization and hardware-specific optimization, deployment, and MLOps — with a deliberate focus on real-world physical deployment.
What problems we solve
- Move from prototype notebooks to models that run reliably on production hardware.
- Deploy computer vision and perception directly on robots, cameras, and PCBs — not in the cloud.
- Cut simulation and design-exploration time with ML surrogates and generative workflows.
- Augment engineering teams with LLM copilots that interact with CAD, simulation, and documentation.
Tools we use
- PyTorch
- TensorFlow
- Ultralytics YOLO (v8 / v11)
- OpenCV
- TensorRT
- ONNX Runtime
- TFLite / TFLite Micro
- OpenVINO
- NVIDIA Jetson (Nano / Orin)
- Google Coral
- Hugging Face Transformers
- LangChain
- Weights & Biases
Deliverables
- Trained and validated models with reproducible training pipelines
- Hardware-accelerated deployment binaries (TensorRT / ONNX / TFLite)
- Integration with ROS 2 nodes, firmware, or product APIs
- Performance benchmarks — latency, accuracy, memory, power
- MLOps handoff: retraining pipeline, monitoring, failure-case tracking
Computer Vision for Robotics
What we do
Yantrix delivers computer-vision systems for vision-guided pick-and-place, bin picking, defect detection on conveyors, SKU recognition, and robotic manipulation. We design the data pipeline, pick and train the model (YOLO detection, SAM-2 segmentation, custom classifiers), integrate it into ROS 2 nodes or a PLC-facing service, and ship benchmarks against the target FPS and accuracy envelope.
What problems we solve
- Reduce manual inspection and sorting with on-line visual quality control.
- Enable robotic cells to handle variable, randomly oriented, or cluttered parts.
- Replace pose fixtures and custom jigs with camera-driven perception.
- Catch defects earlier on the line and feed that signal back into process control.
Tools we use
- Ultralytics YOLOv8 / v11
- SAM-2 segmentation
- OpenCV
- PyTorch
- TensorRT
- ROS 2 perception nodes
- Intel RealSense / ZED / OAK-D cameras
- Roboflow for dataset ops
- NVIDIA Jetson Orin
Deliverables
- Production vision model with documented accuracy/latency profile
- ROS 2 perception package or gRPC / REST perception service
- Camera + lighting recommendations for the deployment environment
- Dataset, labelling guidelines, and retraining instructions
- Integration with grippers, manipulators, or PLC I/O
Edge AI & Embedded Machine Learning
What we do
Yantrix builds end-to-end edge-AI systems: the custom PCB or module, the quantized model, the firmware that drives it, and the OTA pipeline that keeps it updated. We work across NVIDIA Jetson (Nano, Orin Nano, Orin AGX), Google Coral (Edge TPU), Raspberry Pi, and microcontrollers with NPUs such as the ESP32-S3 and i.MX RT series.
What problems we solve
- Eliminate cloud round-trips for latency-critical or privacy-sensitive products.
- Fit capable ML into milliwatts and megabytes on microcontroller-class hardware.
- Co-design the PCB, camera/sensor, and model so the whole device actually performs.
- Productionize edge devices with OTA updates, telemetry, and monitoring.
Tools we use
- NVIDIA Jetson (Nano / Orin)
- Google Coral / Edge TPU
- ESP32-S3 with ESP-DL / TFLite Micro
- Raspberry Pi 5 + Hailo
- TensorRT
- ONNX Runtime
- TFLite / TFLite Micro
- OpenVINO
- PyTorch quantization
- Custom PCB design (KiCad, Altium)
- Zephyr RTOS / FreeRTOS
Deliverables
- Custom PCB or SOM integration with AI accelerator
- Quantized and hardware-optimized model package
- Firmware drivers and inference runtime
- Power, thermal, and latency benchmarks
- OTA update and device-fleet management plan
ML-Accelerated Engineering
What we do
Yantrix builds physics-informed neural networks (PINNs) and ML surrogates trained on FEA / CFD / multi-physics runs, letting engineers explore thousands of design variants in real time. We also deliver generative-design workflows (topology optimization + ML ranking), digital-twin systems that fuse sensor telemetry with simulation, and predictive-maintenance models over vibration, thermal, and current-signature data.
What problems we solve
- Cut FEA / CFD exploration from days to minutes during concept design.
- Expand the design search space without proportional compute cost.
- Turn fleet telemetry into actionable predictive-maintenance signals.
- Keep physical products and their digital twin meaningfully in sync.
Tools we use
- PyTorch
- JAX
- Modulus (NVIDIA physics-ML)
- ANSYS simulation for training data
- SolidWorks / Fusion for parametric studies
- Scikit-learn for classical baselines
- Pandas / Polars for telemetry data
- FastAPI / gRPC for model serving
Deliverables
- Trained surrogate model with error bands and validity envelope
- Training data pipeline tied to your simulation stack
- Interactive design-exploration tooling or API
- Model monitoring for drift vs. new simulation ground truth
- Digital-twin architecture and integration notes
FEA Analysis
What we do
Yantrix performs static, thermal, and vibration-focused FEA to evaluate how parts and assemblies behave under real operating loads. We use simulation to support design decisions, highlight weak points, and improve confidence before fabrication.
What problems we solve
- Reduce risk of structural failure before prototype build.
- Optimize design for stiffness, weight, and material usage.
- Improve performance under expected load conditions.
Tools we use
- ANSYS
- SolidWorks Simulation
- MATLAB
- engineering calculation sheets
Deliverables
- Simulation report with assumptions and results
- Load-case summary and design recommendations
- Annotated CAD feedback for weak regions
- Revision guidance for the next design iteration
CFD Analysis
What we do
Yantrix evaluates airflow, thermal buildup, pressure drop, and cooling strategy using CFD workflows suited to electronics packaging, product enclosures, and thermal management problems.
What problems we solve
- Reduce overheating risk in enclosed products.
- Improve cooling performance and airflow direction.
- Support design decisions before thermal testing begins.
Tools we use
- ANSYS Fluent
- SolidWorks Flow Simulation
- thermal calculation models
- CAD-based packaging review
Deliverables
- CFD report with setup, assumptions, and findings
- Temperature and airflow visualizations
- Thermal design recommendations
- Updated enclosure or cooling layout guidance
CAD Design & DFM
What we do
Yantrix develops parametric CAD models, assemblies, and manufacturing-aware layouts for products that need to move from concept into prototype and production. We keep DFM in the loop from the start so geometry decisions stay buildable.
What problems we solve
- Reduce redesign caused by poor manufacturability decisions.
- Improve assembly logic, packaging, and serviceability.
- Create cleaner CAD assets for prototyping and handoff.
Tools we use
- SolidWorks
- Fusion 360
- DFM review checklists
- tolerance and assembly studies
Deliverables
- 3D CAD files and controlled revisions
- Manufacturing-aware assemblies and part breakdowns
- BOM support and design notes
- 2D drawings or documentation for fabrication handoff
Robotics Development
What we do
Yantrix supports robotic systems development across ROS 2 architecture, mechanism integration, motion workflow planning, and prototype-level system coordination for AGVs, robotic arms, and custom automation platforms.
What problems we solve
- Reduce integration risk between mechanics, electronics, and controls.
- Improve system architecture before expensive iteration.
- Move from concept robotics ideas to credible prototype direction.
Tools we use
- ROS 2
- Nav2
- MoveIt
- SolidWorks
- MATLAB
- Jetson and ESP32 integration workflows
Deliverables
- System architecture recommendations
- Mechanical and controls integration notes
- CAD and subsystem packaging support
- Prototype planning documentation
PCB / Embedded Systems
What we do
Yantrix helps define embedded system architecture, PCB-related packaging needs, controller integration requirements, and the practical mechanical-electrical interface for product and robotics programs.
What problems we solve
- Reduce mismatch between enclosure design and electronics packaging.
- Improve planning for controller, connector, and power integration.
- Keep embedded hardware decisions aligned with the full product design.
Tools we use
- embedded architecture reviews
- ESP32 and Jetson integration
- CAD packaging studies
- interface documentation workflows
Deliverables
- Embedded system architecture notes
- Packaging and board-space recommendations
- Interface and connector documentation
- Prototype integration guidance
Prototyping
What we do
Yantrix supports rapid prototyping through CAD preparation, print-ready design adjustments, manufacturing-aware iteration, and prototype planning that feeds directly back into engineering decisions.
What problems we solve
- Reduce design risk before production tooling.
- Improve iteration speed across concept and engineering validation.
- Catch fit, packaging, and assembly issues early.
Tools we use
- 3D printing workflows
- Orca Slicer
- DFM review
- CAD revision control
Deliverables
- Prototype-ready CAD files
- Print or fabrication preparation notes
- BOM and revision tracking support
- Validation feedback for the next design cycle
3D Printing Services in India
What we do
We deliver production-ready 3D printing in India for engineering teams, hardware startups, and product companies. The service covers material selection (PLA, ABS, PETG, TPU, Nylon, ASA, PC, engineering resins), DFAM (Design for Additive Manufacturing) review, slicing optimization in Orca and PrusaSlicer, multi-material and multi-color printing, post-processing (vapor smoothing, sanding, painting, threaded inserts), and structural validation when the part is load-bearing. Volumes from one-off prototypes through 1,000-unit small-batch runs. Files delivered on STEP/STL/3MF, prints shipped pan-India in 3–7 working days, with international shipping for clients in the US, EU, GB, AE, SG, and AU.
What problems we solve
- Replace expensive, slow CNC iteration with same-week 3D printed prototypes that fit, assemble, and validate.
- Bridge the gap between CAD design and a part that's actually printable — DFAM review catches overhangs, wall thickness, and tolerance issues before the print starts.
- Pick the right material for the job — functional FDM, watertight SLA, snap-fit TPU, high-strength Nylon, or engineering resin — without buying every printer yourself.
- Move from one-off prototype to small-batch production (10–1,000 units) without tooling investment.
- Get a part that actually survives field testing — reinforced infill, threaded inserts, vapor-smoothed surfaces, paint-ready finishes.
Tools we use
- FDM filaments: PLA, PLA+, ABS, ASA, PETG, PETG-CF, TPU 95A, Nylon (PA6, PA12, PA-CF), Polycarbonate, PVA support
- SLA / DLP resins: standard, tough, flexible, high-temp, dental, castable
- SLS partner network: Nylon PA12, glass-filled, carbon-filled
- Bambu Lab X1C, P1S print farm — multi-material capable
- Prusa MK4 / XL — production-grade FDM
- Elegoo Saturn / Mars resin — high-detail SLA prints
- Orca Slicer + PrusaSlicer — slicing & profile optimization
- SolidWorks, Fusion 360 — DFAM review and tolerance correction
- Post-processing: vapor smoothing (acetone), sanding stations, threaded heat-set inserts, primer & paint
Deliverables
- Print-ready 3D files (3MF / STL / STEP) with documented orientation, infill, and material spec
- DFAM review notes — wall thickness, overhang angles, tolerance fits, support strategy
- Printed parts shipped pan-India (3–7 business days) or international (5–14 days)
- Material datasheet and post-process certification per part
- Quote breakdown: per-part cost, material cost, print time, post-process labour
- Optional: small-batch production schedule for 10–1,000 unit runs
AI & Machine Learning Services in India
What we do
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
Robotics Development Services in India
What we do
We deliver full-stack robotics development services in India: ROS 2 system architecture (Humble / Jazzy), Nav2 autonomous navigation with LiDAR / visual SLAM, MoveIt arm manipulation and grasp planning, custom AGV / AMR mechanical design with skid-steer or differential drive, drive-train selection and motor sizing, ESP32 / Jetson embedded controller integration, vision-guided perception pipelines, and mechatronic integration across mechanical, electrical, and software subsystems. Engagements run from focused subsystem work (e.g. SLAM tuning on an existing platform) through ground-up custom robot programs. We deliver source code, simulation environments (Gazebo / Isaac Sim), commissioning support, and engineering documentation the client team can own.
What problems we solve
- Reduce integration risk between mechanics, electronics, and ROS 2 software — the place where most robotics programs in India stall.
- Move from concept robotics ideas to credible prototype direction with realistic timeline and budget.
- Build custom AGVs / AMRs / robotic arms when off-the-shelf platforms don't fit the application or the budget.
- Tune Nav2 and SLAM on existing robotics platforms for reliable autonomous navigation in Indian warehouse and factory environments.
- Integrate computer vision and applied AI into ROS 2 pipelines — perception-to-action with sub-100ms latency.
Tools we use
- ROS 2 Humble / Jazzy — core robotics framework
- Nav2 — autonomous navigation stack
- MoveIt 2 — robotic arm motion planning and manipulation
- Gazebo, Ignition, NVIDIA Isaac Sim — simulation environments
- Foxglove, RViz — visualization and debugging
- NVIDIA Jetson (Nano, Orin Nano, Orin AGX) — onboard compute
- ESP32, ESP32-S3, STM32 — embedded controllers
- SolidWorks, Fusion 360 — mechanical chassis design
- KiCad, Altium — custom PCB design for motor controllers and sensor breakouts
- Intel RealSense, ZED 2i, OAK-D — depth and stereo cameras
- Velodyne, RPLidar, Slamtec — LiDAR sensors
Deliverables
- ROS 2 software stack with documented architecture and dependency tree
- Mechanical chassis design — STEP files, 2D drawings, BOM, vendor recommendations
- Embedded controller firmware (ESP32 / Jetson) with documented communication protocols
- Custom PCB designs and fabrication packages for motor controllers, sensor breakouts, power distribution
- Simulation environment in Gazebo / Isaac Sim for offline testing and CI
- Commissioning support — on-site or remote — to bring the robot online at the client facility
- Engineering documentation and operator manual
CAD Design Services in India
What we do
We deliver end-to-end CAD design services in India: parametric 3D modeling in SolidWorks and Fusion 360, surface modeling for consumer products, sheet metal design with K-factor calculations and flat-pattern drawings, plastic injection molding parts (draft, parting lines, shrinkage compensation), DFM (Design for Manufacturing) review of existing designs, reverse engineering from physical samples or 2D drawings, and 2D production drawings (GD&T, tolerances, BOM, manufacturing notes) for vendor handoff. We support client teams at every stage from sketch through tooling release.
What problems we solve
- Reduce redesign and rework caused by poor manufacturability decisions caught only at the vendor stage.
- Convert physical samples or hand sketches into structured parametric CAD that downstream teams can iterate on.
- Translate design intent into 2D production drawings with proper GD&T that Indian manufacturers can quote and produce reliably.
- Build sheet metal enclosures with K-factor calculations and flat patterns ready for the press brake.
- DFM-review existing CAD before tooling release to catch issues that would cost weeks of mold rework later.
Tools we use
- SolidWorks — primary parametric modeling and assemblies
- Fusion 360 — secondary CAD and design-for-additive workflows
- AutoCAD — 2D drawings and legacy file support
- KeyShot — photorealistic rendering for client presentations
- DraftSight, LibreCAD — open-source 2D drawing tools
- GD&T per ASME Y14.5 — geometric dimensioning and tolerancing
- DFM checklists tuned for Indian injection molding and sheet metal vendors
- STEP / IGES / Parasolid — neutral-format CAD interchange
Deliverables
- 3D parametric CAD models (SolidWorks .sldprt / .sldasm or Fusion 360 archive)
- Neutral-format files for vendor handoff (STEP, IGES, Parasolid)
- 2D production drawings with GD&T, tolerances, surface finishes, and notes
- Bill of Materials (BOM) with vendor recommendations
- Sheet metal flat patterns (DXF) ready for the press brake or laser cutter
- Plastic injection molding feasibility report — draft, parting line, gate location, shrinkage
- Reverse engineering CAD from physical samples or 2D drawings
- Photorealistic renders for client presentations and pitch decks
Process
A simple workflow that stays technically clear
We keep the process straightforward so clients know how the work moves from scope definition to useful delivery.
Step 1
Requirement understanding
We start by clarifying the engineering target, constraints, timeline, and what the client actually needs delivered.
Step 2
Analysis or design execution
We run the design, simulation, system-planning, or prototype-prep work needed for the scope.
Step 3
Iteration
We review findings, adjust the design direction, and refine the work based on technical feedback or changing constraints.
Step 4
Final delivery
We deliver the agreed files, reports, design data, and implementation guidance in a format the client can use immediately.
Use cases
Where these services apply
The service mix is relevant to product teams working across mechanical systems, automation, electronics packaging, and prototype validation.
Robotics
Engineering support adapted to real constraints in robotics programs.
Industrial automation
Engineering support adapted to real constraints in industrial automation programs.
IoT devices
Engineering support adapted to real constraints in iot devices programs.
UAV and drones
Engineering support adapted to real constraints in uav and drones programs.
Consumer products
Engineering support adapted to real constraints in consumer products programs.
Why choose Yantrix
Built for teams that want practical engineering support
These are the reasons clients use Yantrix for simulation, mechanical design, robotics, and prototype-driven product work.
Point 1
Engineering-first approach grounded in real design constraints
Point 2
Fast turnaround for simulation, CAD, and prototype iteration work
Point 3
End-to-end support across mechanical, thermal, robotics, and prototype workflows
Point 4
Hands-on technical expertise instead of generic agency-style execution
Point 5
Clear deliverables that teams can actually use in the next step of development
See our work
Case studies that add trust and context
Internal links to case studies help visitors understand how Yantrix applies these services in real engineering scenarios.
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.
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
Common questions before a project starts
Clear answers help reduce friction before scoping, quoting, and technical kickoff.
What do you need to start?
Usually a CAD model, concept sketch, reference dimensions, or an existing system description is enough to begin. We define the missing details during scoping.
How long does it take?
It depends on the scope, but focused analysis or design tasks can often start quickly and move in short iteration cycles rather than long fixed phases.
Do you sign NDA?
Yes. We can work under NDA when the project involves confidential product, system, or research information.
What tools do you use?
Depending on the task, we use tools such as ANSYS, SolidWorks, MATLAB, ROS 2, Nav2, MoveIt, and prototyping workflows tied to practical CAD delivery.
Final CTA
Ready to start your project?
Tell us what you are building, what stage you are in, and which engineering problem needs attention first.