Case studies

Engineering decisions, documented clearly.

Verifiable proof points from a working studio \u2014 each case study covers the engineering challenge, approach, tools, and shipped results in numbers. Open each one to see the full writeup.

Proof points

Short summaries on the index. Numbers and full detail on each study.

Each card links to a dedicated case-study page with the engineering brief, approach, tools used, shipped metrics, and frequently asked questions \u2014 the writeup buyers actually need to compare vendors.

RAG copilot interface showing grounded answer with cited engineering datasheet sources

GenAI · Retrieval-Augmented Generation

RAG Copilot for Engineering Docs — Hybrid Search, 22 s Answers

How a hybrid-search RAG system over 40k engineering PDFs and CAD drawings cut average engineer-question turnaround from 35 minutes to 22 seconds, with grounded citations on every answer.

95× · 22 s · 0.93

MLOps fleet dashboard managing 600 Jetson devices for edge AI inspection cameras

MLOps · Edge AI Fleet

MLOps Platform for 600-Device Edge AI Fleet — 38 min Deploys

End-to-end MLOps platform managing 600 Jetson inspection cameras across 14 sites — median model deploy went from 9 days to 38 minutes, with automatic drift-triggered rollback.

38 min · 9 days · 600

LoRA fine-tuned CLIP model for industrial part recognition on warehouse photographs

Model Tuning · LoRA / PEFT

LoRA Fine-Tuned CLIP for Industrial Parts — 97.4% on 1 GPU

Parameter-efficient fine-tuning of OpenCLIP ViT-L/14 with LoRA adapters on 18,000 SKU photos — 97.4% accuracy versus 78.1% zero-shot, 11 hours on a single RTX 4090.

97.4% · +19.3 pp · 84 MB

Vision-guided bin picking robotic cell with detection overlay

Applied AI · Vision-guided robotics

Vision-Guided Bin Picking — YOLO + 3D Pose + ROS 2

How a YOLOv11-Seg + 3D-pose stack on a Jetson Orin Nano replaced fixed-pose jigs in a 6-DOF robotic cell — sub-80 ms latency, 99.2% accuracy, 40% throughput gain.

80 ms · 99.2% · 40%

Edge AI defect detection camera on electronics assembly line

Edge AI · On-device inspection

Edge AI Defect Detection — ESP32-S3 + TFLite Micro

A production conveyor inspection camera running a quantized INT8 CNN entirely on an ESP32-S3 — 18 FPS at 0.4 W, no cloud, 6× lower capex per station.

18 FPS · 0.4 W · 96.8%

ML surrogate FEA predicting von-Mises stress field

ML-accelerated engineering

ML Surrogate FEA — PINN Trained on ANSYS Runs

A physics-informed neural network trained on 12,000 ANSYS runs replaces the full solver for early-stage topology — predicts stress fields in 40 ms vs. 22-minute solves.

500× · 40 ms · 0.987

FEA stress plot for an industrial mounting bracket

Structural analysis

Reduced Structural Failure by 32% with FEA Simulation

How simulation-driven design optimization cut peak stress by 32% and deformation by 25% on a load-bearing industrial bracket — before any physical prototype was built.

32% · 25% · 0

Conjugate heat transfer thermal analysis for a sealed IP66 electronics enclosure

Thermal engineering

Thermal Analysis for Sealed IP66 Electronics Enclosure (CFD)

How CFD-based conjugate heat transfer caught a 14 °C hotspot in a sealed IP66 enclosure before prototype — saved an estimated 2 mold revisions and 7 weeks of rework.

14 °C · 72 °C · IP66

6-DOF robotic arm with cycloidal gearbox joints, designed for precise pick and place

Robotics design

6-DOF Robotic Arm Design for Pick-and-Place — ±0.1 mm Repeatability

Mechanical design of a 6-DOF compact robotic arm with cycloidal gearboxes hitting ±0.1 mm repeatability at 5 kg payload — from kinematic chain to manufactured prototype.

±0.1 mm · 5 kg · ₹6.8 L

Topology-optimized drone frame in PETG-CF carbon-fibre filled PETG

Lightweight structures

Drone Frame Topology Optimization — 22% Lighter, Same Stiffness

Topology-driven redesign of a survey drone frame in PETG-CF — dropped frame mass by 22% with no loss in stiffness, extending flight time by 6.4 minutes per sortie.

22% · 118 Hz · +6.4 min

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