Build AIoT Applications for Scale. Not Just MVP.

Flex83 gives your product and engineering teams the foundation to build, deploy, and evolve custom IoT applications — with 80% of the hard work already done on day one.

Diagram illustrating AI core processing industrial sensor data for predictive maintenance, device management, and security.
Rows of glowing binary code digits 0 and 1 on a dark blue to black gradient background.

The gap between a working MVP and a production-grade application is where most IoT projects fail.

Low-code platforms get you started fast but hit walls when enterprise requirements arrive. Building from scratch burns time, budget, and engineering talent. Flex83 bridges both — giving you pre-built services, a modular application layer, and full custom development freedom, so you never have to choose between speed and scale.

80% Built. 100% Yours.

  • 35+ pre-built microservices out of the box

  • Complete IP ownership — source code in escrow

  • Modular architecture: use what you need, extend everything else

Isometric illustration of interconnected servers, data blocks, and tools representing application enablement infrastructure.

Custom Applications in Weeks, Not Years.

  • Custom build effort reduced by 50–70%

  • Commercial-ready specialized applications in less than 3 months

  • Supports UI/UX, API, and CLI interfaces for parallel development workflows

Illustration of software development flow with calendar showing 1-4 weeks and secure application interfaces.

Multi-Tenancy Built In. Not Bolted On.

  • Full multi-tenancy with per-tenant data isolation

  • RBAC with audit capabilities across user roles and organizations

  • Application subscription management for service rollout at scale

Your Brand. Your Experience.

  • Full white-label and brand customization capability

  • Micro-frontend SDK for UI plugin development

  • One-click extension installation into any Flex83 application

Diagram showing Flex83 application components including UI library, apps, modules, branding, and installation completion.

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.

3 Months

To commercial-ready application

50–70%

Reduction in custom build effort

35+

Pre-built microservices included