Case Studies

Projects That Delivered Results

Real engineering challenges, real solutions, measurable impact. Explore how we've delivered across AI, IoT, autonomous systems, ERP, and software.

AI / Computer Vision

AI-Powered Quality Inspection System

Auto Manufacturing Company, Pune

The Problem

A high-volume automotive parts manufacturer was performing defect inspection manually on 10,000+ units per day. False rejection rates were at 8%, and defect escape rate caused recalls. The process was unsustainable as volume scaled.

Our Solution

We built a real-time computer vision inspection system using custom-trained YOLOv8 models deployed on NVIDIA Jetson AGX Orin edge devices. The system integrated with existing conveyor lines via PLC communication, running at 120 frames/second with sub-100ms latency.

Technology Used

PyTorchYOLOv8NVIDIA Jetson AGX OrinOpenCVFastAPIAWS S3PostgreSQLPLC Modbus

Impact

  • 34% reduction in defect escape rate
  • 60% faster inspection throughput
  • 8% → 0.4% false rejection rate
  • ROI achieved in 7 months

Project Outcome

The system now processes 15,000+ units/day with 99.2% classification accuracy, enabling the client to scale production without adding inspection headcount.

IoT

Industrial IoT Remote Monitoring Platform

Infrastructure Asset Management Firm, Mumbai

The Problem

An asset management company had 50+ geographically distributed industrial equipment sites with no real-time visibility into equipment health, temperature, vibration, or power consumption — leading to reactive maintenance and unplanned downtime costing millions annually.

Our Solution

We designed custom IoT gateway hardware with multi-sensor inputs (vibration, temperature, current, voltage) using STM32-based PCBs with 4G LTE connectivity. Firmware ran on FreeRTOS with MQTT over TLS. Cloud backend was Azure IoT Hub with stream analytics, time-series DB, and alerting dashboard.

Technology Used

STM32F4FreeRTOSLTE-MMQTTAzure IoT HubTimescaleDBReactGrafanaPython

Impact

  • 99.9% sensor uptime achieved
  • 40% reduction in unplanned downtime
  • Predictive maintenance alerts with 85% accuracy
  • Centralized visibility across all 50+ sites

Project Outcome

The platform became a core operational tool, and the client licensed it to three additional subsidiaries within 18 months of deployment.

Autonomous Systems

Autonomous Warehouse Navigation Robot

E-commerce Logistics Company, Hyderabad

The Problem

A fast-growing e-commerce logistics operator was struggling with throughput in their 20,000 sqm warehouse. Manual forklift operations caused 3 safety incidents per year and a bottleneck at peak demand that cost ₹2Cr+ per quarter in delayed shipments.

Our Solution

We developed an autonomous mobile robot (AMR) platform using ROS 2, equipped with 360° LiDAR SLAM navigation, camera-based pallet detection, and a fleet management system. We built the navigation stack including custom Nav2 configuration, multi-robot coordination, and a warehouse management integration API.

Technology Used

ROS 2PythonC++Velodyne LiDARSLAM ToolboxNav2DockerPostgreSQLReactREST API

Impact

  • 3x throughput increase at peak
  • Zero safety incidents post-deployment
  • 85% reduction in manual forklift hours
  • Fleet of 12 robots deployed in Phase 1

Project Outcome

The client expanded from 12 to 30 robots in Phase 2, and the platform is now being licensed to their logistics partners across 3 cities.

ERP / SAP

SAP S/4HANA Migration for Retail Conglomerate

Retail Conglomerate, Chennai

The Problem

A ₹800Cr retail group was running fragmented legacy ERP systems across 6 business units, leading to delayed month-end closes, inventory inaccuracy, and inability to generate consolidated financial reports. The CTO mandate was full S/4HANA migration in 14 months.

Our Solution

We executed a brownfield migration from SAP ECC 6.0 to S/4HANA 2023, covering FI/CO, MM, SD, and WM modules across 6 entities. We built custom ABAP enhancements for India GST compliance, a custom Fiori dashboard for store managers, and integrated NetSuite for one subsidiary using SAP BTP middleware.

Technology Used

SAP S/4HANA 2023SAP ECC 6.0ABAPSAP FioriSAP BTPSAP BWOracle NetSuitePython

Impact

  • Month-end close reduced from 15 days to 4 days
  • Inventory accuracy improved from 78% to 97%
  • Real-time consolidated P&L across all entities
  • 14-month delivery — on time and on budget

Project Outcome

The client achieved full digital visibility across all business units, enabling data-driven decisions that contributed to 12% margin improvement in Year 1.

Software Engineering

Telemedicine Platform for Hospital Network

Healthcare Network, Bangalore

The Problem

A 12-hospital network needed a telemedicine platform supporting 500+ concurrent consultations with EMR integration, video calling, prescription management, and ABDM health ID compliance — in 6 months.

Our Solution

We built a full-stack telemedicine platform: React web app, React Native mobile apps (iOS/Android), Node.js backend with microservices, WebRTC-based video consultation, PostgreSQL + Redis, and FHIR-compliant API integration with existing HIS. Hosted on AWS with auto-scaling.

Technology Used

ReactReact NativeNode.jsWebRTCPostgreSQLRedisAWSDockerKubernetesFHIR API

Impact

  • 500+ concurrent consultations supported
  • ABDM & HIPAA compliance achieved
  • 4.7/5 doctor and patient satisfaction score
  • 30% reduction in no-show rates via automated reminders

Project Outcome

The platform served 200,000+ consultations in its first year of operation, and the client extended our team for Phase 2 expansion.

IoT / Hardware

EV Battery Management System (BMS)

Electric Vehicle Startup, Pune

The Problem

An EV two-wheeler startup was using off-the-shelf BMS modules that lacked the granularity, safety features, and communication stack needed for their 48V/72Ah lithium pack — causing thermal events and poor range estimation.

Our Solution

We designed a custom 16S BMS PCBA from scratch: cell-level voltage and temperature monitoring, active balancing, protection circuitry (overcurrent, overvoltage, short circuit, thermal), CAN bus interface, and a cloud-connected telematics module for SOC/SOH reporting and OTA updates.

Technology Used

STM32G0Texas Instruments BQ seriesCAN BusFreeRTOSKiCadPythonAWS IoTMATLAB

Impact

  • Thermal incidents reduced to zero
  • SOC estimation accuracy: ±2%
  • 15% range improvement via optimized cell balancing
  • IEC 62133 certification achieved

Project Outcome

The BMS is now production-deployed in their Series A product line, and we are co-developing the BMS for their 96V commercial vehicle variant.

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