Industry vertical
Robotics & IoT
Software platforms and data infrastructure for connected devices and intelligent industrial automation
As Indian manufacturers, smart building operators, and industrial enterprises deploy robotics and IoT sensor networks at scale, the software layer — device management, real-time data ingestion, anomaly detection, and operations analytics — becomes the critical differentiator between hardware that sits underutilised and hardware that delivers measurable ROI. VDS builds the cloud data platforms and analytics systems that make IoT investments pay off.
The problem — and the fix
Challenges & Solutions
The pain points we consistently encounter in Robotics & IoT, and exactly how VDS addresses each one.
Common challenges
- Sensor and device telemetry collected and stored in isolated silos with no unified analytics layer accessible to operations or management teams
- No real-time alerting or anomaly detection — operations teams are reacting to equipment failures rather than preventing them
- IoT dashboards built ad hoc per project, lacking consistent design, role-based access control, historical trend analysis, or export capability
- Firmware updates and device configuration changes managed manually per device, creating version drift and security risk at scale
- Integrating IoT event streams with ERP, MES, and SCADA systems requires bespoke, brittle engineering effort for each new integration
- On-premises data infrastructure cannot keep pace with growing sensor data volumes, creating storage bottlenecks and data loss risk
How VDS solves it
- Custom cloud IoT data platforms built on AWS IoT Core or Azure IoT Hub — scalable ingestion pipelines handling millions of events per day
- Anomaly detection models and predictive maintenance algorithms built on historical time-series data, surfacing failure risk before equipment stops
- Real-time operations dashboards with device health scorecards, alert timelines, threshold breach history, and exportable performance reports
- Cloud & DevOps practice migrates IoT data workloads to serverless, auto-scaling cloud architecture — eliminating on-premises capacity constraints
- CalcSphere provides a configurable rules and threshold engine, allowing operations engineers to update alert logic without raising engineering tickets
- Data & Analytics practice builds the lakehouse and BI layer that makes sensor data accessible and actionable for both engineers and business users
Purpose-built software
Related Products
CalcSphere
A no-code calculation engine for pricing, costing, and financial modelling
CalcSphere lets business teams define, test, version, and publish complex calculation logic — pricing models, costing rules, commission structures, and financial projections — without writing a single line of code or raising a development ticket.
ReportSphere
Automated report generation and scheduled delivery at enterprise scale
A centralised reporting platform that connects to your existing data sources, applies your business logic, and automatically delivers formatted, branded reports to the right stakeholders on schedule — eliminating manual extraction, formatting, and distribution forever.
Expert-delivered engagements
Related Capabilities
Software Engineering
Engineering support for digital products, platform builds, and operational software where reliability and delivery control matter.
Cloud & Platform Engineering
Accelerate delivery, improve reliability, and reduce infrastructure costs with cloud-native architecture and DevOps practices.
Data & AI Systems
Turn raw enterprise data into actionable intelligence with modern data platforms, pipelines, and visualisation.
Proof of impact
Case Study
A Pune-based industrial automation company deployed a custom IoT data platform built by VDS to ingest telemetry from 2,400 edge devices across 3 factory floors, processing over 14 million events per day. Within the first quarter of operation, predictive maintenance alerts derived from sensor anomaly models reduced unplanned downtime by 43%, and the operations dashboard gave shift supervisors live visibility they had never had from the previous on-premises SCADA setup.
Full case study available on request.
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