Video Streaming & Analytics
High-definition, low-latency streaming from smart cameras, with real-time computer vision that flags what matters, a mis-step on the line or an anomaly on site, and alerts the moment it happens.
Cloud & Data Engineering
IoT & Video Analytics
Sensors, cameras and connected machines generate a flood of data, and most of it never reaches a decision in time to matter. Flentas turns connected devices and live video into real-time insight and automated action on AWS, from a single device to a fleet of thousands, secure and scalable by design.
The Reality
Why Is the Plant Floor Still a Black Box?
Machines generate more data than any other part of the business, and almost none of it reaches a decision.
Shop-floor data never leaves the site
Telemetry stays on PLCs and local historians, invisible to the teams planning production and spend.
Maintenance is reactive
Machines are fixed after they fail because nothing predicts the failure from the signals they emit.
Quality issues surface at the end
Defects are found at inspection, not at the station and minute where they started.
OT and IT don't share a platform
Operational systems and enterprise data live in separate worlds with separate owners and no common view.
Every connected asset is a new risk
Each device brought online adds a security and compliance question nobody has answered yet.
Pilots stay on one line
A proof of concept works on a single machine but has no path to every site and every device.
What We Deliver
An Integrated IoT Platform, Video Analytics Built In
Flentas delivers connected solutions as a suite of capabilities as a service: onboard, stream, analyze and act, without stitching together a stack from scratch.
Real-Time Data Streaming
Low-latency ingestion of sensor data, from temperature and moisture to door status and pressure, through event-driven pipelines built for immediate action or analysis.
Device Management & OTA
Registration, health checks, remote reboot and secure over-the-air firmware updates across an entire fleet. No on-site visit, no manual patching.
Analytics & Rule Engine
Real-time and historical insight with ML-based patterns, plus event rules that automate actions: turn on irrigation when soil dries, escalate when a reading breaches a threshold.
Security & Access
Certificate-based device authentication, TLS/SSL encryption, certificate lifecycle management and role-based access control for users and devices.
Storage & Alerting
Scalable storage for logs, sensor data and video footage, with customizable real-time alerts across email, SMS and push.
Proof Points
Evidence of the Breadth, Reliability and AWS-Validated Expertise Behind Every Engagement
12Capabilities as a service in one integrated platform
96.5%Client retention across delivered engagements
AWS IoTCompetency validated by AWS for IoT delivery
How It Works
From Device to Decision, on AWS
A layered pipeline that turns raw device and video signals into automated action.
- 1
Connect & Secure
Onboard devices through AWS IoT Core with certificate-based authentication and encrypted device-to-cloud communication over MQTT.
- 2
Stream & Ingest
Move telemetry and video into real-time pipelines with Kinesis Data Streams and Kinesis Video Streams, event-driven from the first packet.
- 3
Analyze & Detect
Apply analytics and computer vision, from QuickSight dashboards to SageMaker models and real-time alerting, to surface patterns, anomalies and video events.
- 4
Automate & Act
Trigger actions through the Rules Engine and Lambda, from remote actuation to notifications and irrigation control, and manage the fleet with OTA updates and health checks.
Technology & AWS Stack
The Services Behind the Platform
Connectivity & Device Management
AWS IoT Core, AWS IoT Device Management, AWS IoT Device Defender and AWS IoT SiteWise for industrial telemetry.
Streaming & Video
Amazon Kinesis Data Streams, Kinesis Data Firehose and Kinesis Video Streams for real-time data and camera feeds.
Analytics & ML
Amazon QuickSight, AWS IoT Analytics, Amazon Athena and Amazon SageMaker for dashboards, insight and predictive models.
Compute & Automation
AWS Lambda, the AWS IoT Rules Engine and Amazon SNS for event-driven processing, rules and notifications.
Storage & Data
Amazon S3, Amazon RDS, Amazon DynamoDB, Amazon Timestream and InfluxDB for logs, footage and time-series device data.
Security & Identity
AWS Cognito, AWS IAM and AWS Certificate Manager for authentication, RBAC and certificate lifecycle.
Who It's For
View all client success storiesBuilt for Industries That Run on Connected Assets
Manufacturing & Quality
Camera-based line monitoring and real-time alerts that cut waste and hold quality consistent, shift after shift.
Godrej Consumer Products
Real-timeAlerts on incorrect technique
Inconsistent combing was driving waste in hair-extension manufacturing. An IoT gateway with a load cell and a camera monitored combing pressure and hair spread, firing real-time alerts on incorrect technique, reducing waste, lifting quality and surfacing analytics for future robotic automation.
Heavy Machinery & Equipment
Remote tracking, sensor readings and asset location without a site visit, plus remote actuation and predictive maintenance scheduling.
Spartan Engineering
ZeroOn-site inspection visits needed
Construction machinery could not be monitored remotely. A 4G-enabled IoT gateway on AWS IoT Core enabled remote tracking, actuation and structured data flow via REST APIs, improving asset oversight with prompt fault notifications and better-scheduled maintenance.
Smart Home & Consumer Devices
Scalable device fleets with geofencing automation, remote management and app-driven control that stays reliable at volume.
Phynart (U.F.O)
MillionsDevice connections supported
A monolithic communication layer could not scale. Flentas built a scalable socket engine on AWS for actuation between mobile apps and hub devices, added geofencing automation to switch appliances automatically, and enabled remote management that cut on-site service visits across the fleet.
Agriculture & Utilities
Soil, moisture and water-level sensing with automated irrigation and a unified KPI dashboard for field conditions.
UPL
AutomatedIrrigation from live soil data
Sugarcane farming needed moisture insight and automated irrigation. Moisture and water-level sensors on IoT gateways fed AWS IoT Core and a unified dashboard, driving automatic motor operation on real-time soil conditions and reliable data flow for analytics.
“Detailed client testimonials for Industry 4.0 engagements are still being prepared. In the meantime, explore our Cloud & Data Engineering case studies or talk to our team directly about your connected manufacturing, IoT, or industrial data goals.”
Cloud & Data Engineering PracticeFlentas
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.
Industry 4.0
Connected manufacturing and industrial intelligence on AWS.
IoT Solutions
Get device data off the floor and into a production platform.
Explore IoT SolutionsData Engineering
One governed copy of your data, ready for BI and AI.
Explore Data EngineeringGet Started
See What Your Connected Estate Is Missing
Bring us one line, one fleet or one camera feed. We'll show you what real-time streaming, analytics and automation unlock on AWS, and where the quick wins are.
- AWS Advanced Consulting Partner
- AWS IoT Competency
- ISO 27001
- SOC 2 Type II