Engineer & Develop

IoT Solutions

Your devices are live. Your data is trapped. Engineers are writing custom glue code to connect cameras, sensors, locks, and gateways that should have been talking to each other from day one. Flentas eliminates the custom integration burden, security risk, and scale bottleneck that stall IoT deployments — delivering a production-ready AWS-powered middleware platform with video streaming, device management, OTA updates, analytics, and real-time alerting your team no longer has to build from scratch.

The Reality

Why Is Your Device Data Trapped?

Your devices are live. Your engineers are writing custom glue code to connect hardware that should have talked from day one.

Firmware updates ship by hand

Manual OTA across thousands of units takes weeks and misses 40% of deployed devices.

Custom middleware eats the roadmap

Building MQTT brokers, certificate pipelines and streaming in-house consumes 6 to 12 months of senior engineering time.

Sensor data answers no question

Raw telemetry sits in S3 buckets with no analytics or rules engine to turn it into a decision.

The platform breaks at 100,000 devices

Architecture built for the first thousand units falls apart the moment the product succeeds.

Devices authenticate with shared secrets

No certificate-based identity means every device is a compliance liability and a breach waiting to happen.

Anomalies are found as outages

Operations teams watch dashboards by eye and miss the signal that mattered.

Key Benefits

Build Product, Not Plumbing

  • Stop Shipping Firmware Fixes by Hand

    Manual firmware updates across thousands of units cost weeks and miss 40% of deployed devices. Automated OTA management pushes secure updates to your entire fleet simultaneously — zero on-site visits, zero missed patches.

  • End the Custom Integration Tax

    Building MQTT brokers, certificate pipelines, and data streaming in-house consumes 6–12 months of senior engineering time. Flentas' pre-built AWS-native middleware stack activates in days.

  • Turn Device Data into Board-Ready Decisions

    Raw sensor data sitting in S3 buckets answers no business question. AI-powered analytics and configurable rule engines transform your fleet's output into real-time dashboards, predictive alerts, and usage insights.

  • Scale to Millions Without Re-Architecting

    IoT platforms built for 1,000 devices fall apart at 100,000. AWS-native architecture with auto-scaling Kinesis, DynamoDB, and IoT Core grows from pilot to global rollout — without ripping out infrastructure every 18 months.

Proof Points
IoT capabilities delivered as managed services
12+
Of custom middleware development eliminated
6–12 months
Client retention
96.5%
How It Works

From Disconnected Devices to a Production IoT Platform

  1. 1

    Map Every Device Before You Connect One

    Connecting devices before a discovery baseline creates integration chaos — unknown protocols, duplicate IDs, shadow hardware. Flentas maps your full device estate, surfacing every asset, protocol, and dependency before a single device goes live.

  2. 2

    Stop Bleeding Bandwidth on Raw MQTT

    Unmanaged MQTT at scale means broker overload and no audit trail when something breaks at 3am. AWS IoT Core with a managed MQTT broker, rules engine, and Kinesis Firehose handles millions of device messages reliably with complete logging.

  3. 3

    Give Every Device a Security Identity

    Devices without certificate-based authentication are a regulatory liability. Certificates as a Service via AWS IoT Core and ACM provisions, rotates, and revokes TLS/SSL certificates across your entire fleet automatically.

  4. 4

    Stream Video Without Building Infrastructure

    A custom video pipeline for smart cameras means months of work before a single frame reaches your app. Amazon Kinesis Video Streams with Lambda processing and S3 media management delivers live feeds with low latency from day one.

  5. 5

    Replace Manual Monitoring with Intelligent Alerts

    Operations teams watching dashboards manually miss the anomaly that becomes an outage. AI-powered rule engines and CloudWatch alarms detect behavioural drift, trigger automated responses, and notify the right person before any end-user notices.

  6. 6

    Ship Analytics, Not Just Data

    Device data without context is noise. Analytics as a Service using Amazon QuickSight, SageMaker, and Kinesis delivers real-time dashboards, ML-based usage pattern detection, and predictive maintenance insights.

Technology Stack

Technologies & Tools We Use

  • Device Connectivity & Messaging

    • AWS IoT Core (MQTT)
    • IoT Rules Engine
    • IoT Device Management
    • IoT Events
    • Kinesis Data Streams
    • Kinesis Firehose
  • Video & Media Streaming

    • Amazon Kinesis Video Streams
    • Amazon S3
    • AWS Lambda (video processing)
    • Amazon CloudFront
  • Security & Identity

    • AWS Certificate Manager
    • IoT Device Defender
    • Cognito
    • IAM
    • TLS/SSL Certificate Lifecycle Management
  • Analytics & AI

    • Amazon QuickSight
    • SageMaker
    • Kinesis Data Analytics
    • Athena
    • Timestream
    • ML-based anomaly detection
  • Device Management & OTA

    • IoT Device Management
    • CodeDeploy (firmware)
    • Lambda triggers
    • CloudWatch
    • IoT Device Shadows
  • Storage, Alerting & Access

    • DynamoDB
    • RDS
    • Timestream
    • InfluxDB
    • SNS
    • CloudWatch Alarms
    • Cognito
    • RBAC as a Service
Case Studies

Where IoT Solutions Make a Difference

Smart Home

Smart Home & Consumer Hardware

Millions Of Device Connections Supported

Fragmented device protocols blocking product launch — AWS-native middleware connects cameras, locks, and bulbs on a single platform, shipping in weeks not quarters.

Industrial

Industrial / Manufacturing

Zero On-Site Inspection Visits Needed

No remote visibility into machinery causing unplanned downtime — IoT Gateway integration with AWS IoT Core delivers real-time sensor monitoring and automated fault alerts without on-site visits.

Agriculture / AgriTech

Manual irrigation wasting water and reducing yield — soil moisture sensors connected via AWS IoT Core enable automated irrigation control and real-time crop condition dashboards.

Consumer Electronics / SaaS Platforms

Monolithic socket architecture creating scalability bottlenecks — event-driven AWS Kinesis pipeline with autoscaled backends supports millions of device connections and geofencing automation.

Manufacturing

Worker Alerts & Waste Reduction

Real-time

Godrej Consumer Products had inconsistent combing techniques causing product waste with no real-time monitoring. IoT Gateway and camera-based AI detection delivered live worker alerts and unlocked analytics for future robotics automation.

iBall

“Barely moving servers on the cloud didn't make sense. Flentas helped re-architect the IoT backbone of our products on the cloud for increased scale, performance and optimized cloud spend.”

Ibrahim AghaIT HeadiBall

What's Next

Where This Fits in Your Journey

One engagement is one stage. Here is what usually comes before and after, so the next step is always clear.

Get Started

Your Devices Are Ready. Your Platform Should Be Too.

Book a free IoT assessment. We'll map your device estate, integration gaps, and the fastest path to a production-ready AWS-native platform — in weeks, not quarters.