Push Intelligence
to the Edge

Your equipment doesn't wait. Neither should your data. Flex83 Edge Deployment puts compute, logic, and AI models exactly where decisions need to happen — on-site, in real time, at the source.

Modern automated factory with interconnected touchscreen panels and industrial machines in a bright, clean environment.
Rows of glowing binary code digits 0 and 1 on a dark blue to black gradient background.

Most IoT architectures are built for the cloud.
Your operations aren't.

Industrial environments don't operate on ideal connectivity. Air-gapped networks, bandwidth constraints, latency-sensitive processes, and remote assets mean that sending everything to the cloud isn't just inefficient — it's a liability. Yet most platforms still treat the edge as an afterthought. Flex83 doesn't.

Deploy Once. Run Anywhere.

  • Supports Greengrass, Litmus, Flex Edge Brain, and 50+ edge connectors

  • Compatible with thin edge (resource-constrained devices) and thick edge (local compute nodes)

  • Consistent management UI regardless of deployment model

User interface showing integration setup for DiffusionSource with workspace menu and integration steps.

Local Processing. Global Visibility.

  • MODBUS, OPC-UA, CANbus, MQTT, HTTP — all natively supported

  • Local data processing with selective cloud sync

  • Real-time analytics at the edge without cloud round-trips

IoT Connectivity Metrics dashboard showing asset statuses, total assets, messages received, and bytes received.

Security That Doesn't Compromise Operations.

  • Air-gapped network compatibility

  • On-premise data sovereignty with configurable cloud relay

  • Part of Flex83's FCAPS-grade infrastructure layer

Data profiling dashboard showing 17,856 total rows, 134 columns, 0 duplicate rows, and 51.4% data quality score.

From Edge Signal to
Enterprise Insight.

  • Unified edge-to-cloud data pipeline with streaming + batch modes

  • Full asset visibility from embedded device to enterprise BI

  • Feeds AI/ML models with governed, structured edge data

SQL query interface displaying a query selecting order summary data and a results table with inventory IDs and order details.

Pre-built connectors bridge fragmented IT and OT systems, ensuring real-time data ingestion and protocol translation across all stakeholders.

IoT Connectivity Metrics dashboard showing asset statuses, total assets, messages received, and bytes received.
IoT Connectivity Metrics dashboard showing asset statuses, total assets, messages received, and bytes received.

Organize data and physical assets, providing real-time visibility, automated mapping, and streamlined operational control.

Data profiling dashboard showing 17,856 total rows, 134 columns, 0 duplicate rows, and 51.4% data quality score.
Data profiling dashboard showing 17,856 total rows, 134 columns, 0 duplicate rows, and 51.4% data quality score.

Automated profiling tags and indexes incoming data on the fly, creating a searchable, lineage-tracked repository that accelerates secure data discovery.

SQL query interface displaying a query selecting order summary data and a results table with inventory IDs and order details.
SQL query interface displaying a query selecting order summary data and a results table with inventory IDs and order details.

Lakehouse architecture unifies operational, analytical, and historical IoT data for seamless policy enforcement and scalable data storage.

Visualize how raw edge data evolves into actionable insight. Track provenance, see dependencies, and comply with every audit step.

10×

Faster time-to-market

50+

Edge connectors supported

Lower TCO vs. building in-house