Embedded Intelligence

The Cortex forEdge Intelligence

Our mission is to bring perception, reasoning, and control to embedded fleets, the way the human cortex senses, processes, and commands in real time.

Starting with μscope, professional-grade serial visualization with multi-device support for mission-critical embedded systems. Download today for Windows, Linux, and Raspberry Pi.

Why Cortx?

Inspired by the Human Cortex

The brain's cortex processes the world in layers, sensing, reasoning and commanding. Cortx brings this architecture to intelligent edge systems.

Sensory Cortex

Perception Layer

Connect and visualize data from any sensor, serial devices, LiDAR, cameras, IMU, CAN bus. All sensor types in one unified timeline.

Cortex Layer
Association Cortex

Reasoning Layer

Record sensor data with synchronized timestamps. Combine data from multiple sensors. Run ML models directly on devices.

Cortex Layer
Motor Cortex

Control Layer

Send commands to devices remotely. Push firmware updates over-the-air. Manage device fleets and track firmware versions.

Cortex Layer

"We're building the cortex for intelligent machines."

FLAGSHIP PRODUCT

EdgeOps Starts Here: μscope

μscope delivers the first layer of EdgeOps, deterministic data ingest, real-time visualization, and operator control for embedded devices.

This is how we prove the architecture that will scale to multimodal fleets. Deterministic ingest, hardware-accelerated rendering, and operator-grade workflows establish the EdgeOps foundation, from serial ports to sensor fusion.

OpenGL
Hardware acceleration
Multi-threaded
Parallel processing
C++
Native performance
μscope
Live

Advanced Features

Engineered for precision, built for mission-critical performance

Multi‑channel plotting

Visualize multiple data streams simultaneously with real-time updates

Interactive cursors

Single and dual cursor functionality for precise data measurement and analysis

Channel statistics

Min, max, average, range, and time span calculations for comprehensive analysis

Dockable interface

Customizable workspace layout for optimal workflow efficiency

Technical Specifications

Performance metrics that matter

≤1 kHz
Data Ingest Rate
60 Hz
UI Refresh Rate
100 Hz
Device Polling Rate
10+
Channels (Pro)
EdgeOps · In Development

From Serial to Multimodal: The Journey to EdgeOps

μscope proves the architecture. These phases show how we scale from serial monitors to autonomous fleet orchestration.

Stage 0

Foundation

Shipping Now

μscope delivers multi-device serial visualization with real-time plotting, CSV logging, and professional UI workflows. Available today for Windows, Linux, and Raspberry Pi.

  • Connect multiple serial devices simultaneously
  • Real-time plotting with interactive cursors
  • Built-in serial terminal and CSV data logging
  • Cross-platform installers ready to download
Available Today
Stage 1–4

Network Connectivity & Remote Updates

In Development

Add WiFi/Bluetooth/MQTT connectivity, deliver remote OTA updates, then expand visualization and recording to every sensor type.

  • Connect devices over WiFi, Bluetooth, TCP, MQTT, CAN
  • Push firmware updates remotely (OTA)
  • Visualize LiDAR, cameras, and other sensor data
  • Record sessions with synchronized replay
2026–2027 Roadmap
Stage 5–8

Cloud & Fleet Management

Future Vision

Deliver the cloud control plane, policy guardrails, and on-device automation that complete the EdgeOps platform.

  • Cloud dashboards for fleet monitoring
  • Trigger OTA updates and review history remotely
  • Remote diagnostics: logs, recordings, and secure remote shell
  • Policy engine for staged rollouts, approvals, and compliance
  • On-device automation with rules, sensor fusion, and local ML
  • Unified fleet workspace with role-based access and audit history
2028–2029 Vision

Interested in the complete technical roadmap with all 8 stages?

View Full Roadmap Details
READY TO GET STARTED?

Start Your EdgeOpsJourney Today

Download μscope and experience the first layer of EdgeOps. Join engineers pioneering the future of edge intelligence.

Windows, Linux, Raspberry Pi