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.
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.
Learn moreBuilding 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.
Learn moreRaw 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.
Learn moreIoT 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.
Learn moreConnecting 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.
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.
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.
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.
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.
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.
AWS IoT Core (MQTT) · IoT Rules Engine · IoT Device Management · IoT Events · Kinesis Data Streams · Kinesis Firehose
Learn moreAmazon Kinesis Video Streams · Amazon S3 · AWS Lambda (video processing) · Amazon CloudFront
Learn moreAWS Certificate Manager · IoT Device Defender · Cognito · IAM · TLS/SSL Certificate Lifecycle Management
Learn moreAmazon QuickSight · SageMaker · Kinesis Data Analytics · Athena · Timestream · ML-based anomaly detection
Learn moreIoT Device Management · CodeDeploy (firmware) · Lambda triggers · CloudWatch · IoT Device Shadows
Learn moreDynamoDB · RDS · Timestream · InfluxDB · SNS · CloudWatch Alarms · Cognito · RBAC as a Service
Learn moreFragmented device protocols blocking product launch — AWS-native middleware connects cameras, locks, and bulbs on a single platform, shipping in weeks not quarters.
Learn moreNo 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.
Learn moreManual irrigation wasting water and reducing yield — soil moisture sensors connected via AWS IoT Core enable automated irrigation control and real-time crop condition dashboards.
Learn moreMonolithic socket architecture creating scalability bottlenecks — event-driven AWS Kinesis pipeline with autoscaled backends supports millions of device connections and geofencing automation.
Learn moreGodrej 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.
Phynart's monolithic architecture created connectivity bottlenecks with no geofencing. Flentas delivered a scalable WebSocket engine on AWS, geofencing automation, and a full device data lake — transforming a hardware startup into a data-driven platform.
Spartan Engineering had no remote tracking of heavy machinery, causing delayed maintenance. AWS IoT Core integration via 4G-enabled gateway delivered remote actuation, automated fault alerts, and structured REST APIs.
“We had three engineers spending 60% of their time writing device integration code that had nothing to do with our product. Flentas replaced all of it with their middleware platform in under six weeks. OTA updates that used to take us four days of manual work now run automatically overnight. Our firmware coverage went from 70% to 99.8% of deployed devices — and our engineers are building features again.”
VP of EngineeringLeading Smart Home Platform, India
IoT generates the data. Analytics engineering extracts the intelligence — turning device event streams into dashboards, predictions, and automated decisions.
Explore Big Data & Analytics EngineeringYour IoT platform is live. Now the applications built on top of it need to be as scalable and resilient as the infrastructure underneath.
Explore Cloud Native DevelopmentIoT platforms run 24x7 — devices don't care about business hours. Flentas managed ops monitors your entire AWS IoT environment around the clock.
Explore Cloud Managed Services