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VFACE

Operations that stay connected.

Smart infrastructure, industrial automation, and edge computing — built for zero unplanned downtime.

500K+Connected devices managed
35%Avg downtime reduction
12E-Nose commercial deployments
20+Industry verticals

The challenge

Connected devices create data faster than teams can use it

Device sprawl and fragmentation

Mixed protocols and vendors make a single view impossible. We standardise at the edge and in the platform.

Insecure endpoints

Every device is an attack surface. Secure boot, signed updates and certificates are non-negotiable.

Data without decisions

Dashboards alone do not change outcomes. We tie telemetry to alerts, automation and maintenance workflows.

VFACE designs IoT networks for industrial environments where reliability and latency are non-negotiable. Our edge-first architecture keeps critical decisions on-device, and our proprietary E-Nose platform extends sensing to chemical and olfactory data that traditional sensors cannot capture.

What we offer

Internet of Things services

Industrial Sensor Networks

End-to-end sensor network design, device management, and real-time telemetry pipelines that convert physical assets into live data sources.

Predictive Maintenance

Vibration, temperature, and acoustic monitoring models that detect equipment failure 2–6 weeks ahead and schedule maintenance automatically.

Digital Twin Implementation

Virtual replicas of physical assets and production lines that simulate scenarios, optimise throughput, and predict failure before it occurs.

Edge Computing

On-device and near-edge processing that eliminates cloud round-trips for latency-sensitive decisions — critical for safety systems and quality control.

Smart Building Management

Energy, HVAC, access control, and occupancy sensor networks unified on a single platform with AI-driven optimisation for commercial facilities.

Fleet & Asset Tracking

Real-time GPS and telemetry tracking for vehicle fleets, mobile equipment, and high-value assets with geofencing and predictive service scheduling.

Industrial Automation (PLC/SCADA)

PLC integration, SCADA modernisation, and digital twin implementations that reduce manual intervention and increase throughput on factory floors.

E-Nose Olfactory Platform

Proprietary electronic nose technology for food safety inspection, pharmaceutical quality control, and agricultural freshness grading — 12 commercial deployments.

IoT Security & Compliance

Device authentication, encrypted telemetry, OT/IT network segmentation, and IEC 62443 compliance for industrial control system environments.

Real-Time Analytics

Stream processing pipelines, operational dashboards, and anomaly detection on live sensor data with configurable alerting and SCADA integration.

How we build

Engineering principles behind every engagement

Edge where it matters

Process locally for latency and resilience, and send only what the cloud needs.

  • Edge gateways and rules
  • Offline-tolerant sync
  • Bandwidth budgets

Technology we work with

  • MQTT
  • OPC-UA
  • LoRaWAN
  • Azure IoT Hub
  • AWS IoT Core
  • IBM Maximo
  • Node-RED
  • InfluxDB
  • TimescaleDB
  • Grafana
  • Raspberry Pi
  • ESP32
  • MQTT
  • OPC-UA
  • LoRaWAN
  • Azure IoT Hub
  • AWS IoT Core
  • IBM Maximo
  • Node-RED
  • InfluxDB
  • TimescaleDB
  • Grafana
  • Raspberry Pi
  • ESP32

How we deliver

From first workshop to production in four steps

Define the signals

Decide which physical measurements matter and what action each reading should trigger.

Connect the edge

Select sensors and gateways, then secure device identity and over-the-air updates.

Stream and store

Ingest telemetry into a time-series platform with edge filtering to control bandwidth.

Act on insight

Dashboards, alerts and predictive models that turn readings into maintenance and decisions.

Your first 90 days

What you can expect, phase by phase

Days 1–30

Scope and instrument

  • Asset and data audit
  • Connectivity and edge design
  • KPIs and alert rules
  • Pilot site selection
Days 31–60

Connect and stream

  • Devices and gateways deployed
  • Ingestion and storage live
  • Dashboards and alerting
  • Security baseline
Days 61–90

Act and scale

  • Predictive models in pilot
  • Workflow integration
  • Measured downtime reduction
  • Rollout plan for further sites

Proven results

Client case studies

Manufacturing

An Indian automotive parts supplier was experiencing 23% unplanned downtime across 14 production lines due to reactive maintenance — each stoppage costing ₹18 lakh per hour.

35%reduction in unplanned downtime
  • Downtime reduced from 23% to 15% within 6 months of predictive maintenance deployment
  • $2.1M annual savings from earlier failure detection on critical CNC machinery
  • Mean time between failures extended by 28% through AI-optimised scheduling
Energy

A utility operator managing 800km of distribution grid was experiencing 14% energy wastage from undetected line losses and reactive fault response averaging 6 hours per incident.

28%reduction in energy wastage
  • Smart sensor network across 800km grid enabled real-time loss detection and fault localisation
  • Mean time to repair reduced from 6 hours to 40 minutes through automated fault isolation
  • $3.4M in annual energy cost savings from grid efficiency improvement
Food Processing

A food processor relying on lab-based microbiological testing with a 48-hour turnaround was incurring $800K annually in recall and write-off costs from spoiled batches already packed.

96%reduction in detection time
  • E-Nose 12-sensor array deployed across 3 production lines with sub-3-minute batch assessment
  • ML classifier trained on 50,000+ odour profiles covering 14 spoilage organism types
  • Integrated with SCADA for automated line rejection, eliminating operator intervention

Industry benchmark

Typical results from connected operations

Unplanned downtime reduction

VFACE programmes35%
Industry average15%

Time to detect an anomaly

VFACE programmes4 min
Industry average45 min

Lower is better

Devices with signed updates

VFACE programmes100%
Industry average52%

Figures are indicative ranges from typical engagements compared with published industry surveys. Results vary by scope and starting point.

The difference

What changes when the work is done

Before VFACE

  • Inspections on a calendar, not on condition
  • Failures found after the line stops
  • Device fleets with no security baseline

After VFACE

  • Condition-based maintenance from live data
  • Anomalies flagged before they become outages
  • Every device authenticated and patchable

Ways to work with us

Engagement models that fit how you buy

Fixed-scope project

A defined outcome, a fixed timeline, one accountable team.

  • Scoped in a two-week discovery
  • Milestone-based delivery and sign-off
  • Best for pilots and well-bounded builds

Dedicated team

Senior engineers embedded in your programme for the long run.

  • Scales up or down by the sprint
  • Works inside your tools and rituals
  • Best for multi-quarter roadmaps

Managed service

We run it, monitor it and improve it after go-live.

  • 24x7 support with agreed SLAs
  • Continuous optimisation and reporting
  • Best for production platforms

Security and governance

Safety, security and standards

Device identity

Unique certificates per device with automated rotation.

Secure updates

Signed, staged over-the-air updates with rollback.

Standards alignment

Design guided by IEC 62443 and ETSI EN 303 645.

Data stewardship

Retention, anonymisation and access rules for telemetry.

Questions answered

Frequently asked questions

Get started

Ready to transform with Internet of Things?

Tell us about your challenge. Our internet of things team typically responds within one business day.