Skip to main content

​
What is Heex?

Heex Smart-Data is an intelligent data platform that transforms how robotics teams capture, analyze and share data. Instead of recording everything continuously, Heex intelligently captures only the most relevant data when specific scenarios occur - saving storage, reducing noise, securing operations and accelerating development.

​
Value Proposition

​
The Challenge

Robotics teams face three critical challenges:
  • Data Accessibility Gap: Both Technical and Non-technical users often struggle to access the robotics data they need, leading to missed insights and inefficiencies.
  • Data Overload: Drowning in unnecessary data, making it difficult to identify relevant information which presents a high risk of overlooking important data.
  • Delayed Insights: Delayed problem detection and challenging root causes, hindering rapid troubleshooting and solution development.

​
The Heex Solution

Heex solves these challenges through:
  1. Smart-Data Capture: Record only what matters, when it matters based on custom data capture scenarios you define. Update them anytime, anywhere - minimizing data volume for faster transfer and analysis.
  2. Data Democratization: Empower technical and non-technical users with data-driven insights through intuitive visualizations, personalized views, automated tagging, and easy data requests.

​
The Heex Benefits

By making robotics data widely accessible and usable, Heex empowers teams to:
  • Enhance Collaboration and Innovation: Streamline collaborative workspaces shared between robotics experts, developers and end users with different abstraction levels and views for each stakeholder. Foster high data discoverability, request and access.
  • Accelerate Research and Development: Access to diverse and representative datasets accelerates the development of more robust and generalizable robotics algorithms.
  • Improve Situational Awareness: Unlock more effective operations through real-time events notifications thanks to rich captured data, perfect for probable root causes analysis.
All while ensuring Data Privacy, Security, Quality, and Consistency.

​
Real-World Example

A robotics team noticed occasional navigation errors in their warehouse robots. Using Heex’s Smart-Data Platform, they filtered events by “navigation_anomaly” tags and quickly identified that errors occurred most frequently with given models, in given locations, near metallic shelving units, leading to a quick resolution of the interference issue.

​
Why Heex

Four architectural pillars that set Heex apart:

​
1. Smart-Data Intelligence — Edge or Server, Your Choice

  • Start safe: Extract insights from existing recordings (server mode) with zero risk and zero workflow change
  • When ready: Deploy the same triggers for real-time capture at the edge with 70-90% data reduction
  • Progressive adoption: No upfront commitment—migrate at your own pace

​
2. Copilot — AI-Driven Configuration (beta)

  • Configure through conversation: “Alert me when forklift is less than 2m from an obstacle” becomes a working trigger—no coding required
  • Query your data naturally: Ask questions like “Show me all navigation failures from last week” and get instant results
  • Democratize robotics monitoring: Non-technical users (operators, field managers) become autonomous in creating alerts
  • Multiple integrations: Available in Heex UI and external platforms (Claude, GPT, custom agents)

​
3. OTA Intelligence — Remote Fleet Control

  • Deploy complex logic fleet-wide: Push advanced trigger configurations, not just simple settings
  • Zero physical access: Update agents, triggers, and scenarios remotely across 100s-1000s of devices
  • Zero-touch deployment: Scale your fleet without scaling your operations team

​
4. Advanced Multimodal — Sensors + System Observability

  • Combine data sources: Business sensors (LiDAR, CANbus, cameras) WITH system metrics (CPU, RAM, network) in a single trigger
  • Full visibility: Most teams are blind to system health—Heex correlates application and infrastructure data
  • Root cause analysis: Example: navigation_failure = true AND cpu_usage > 90% → now you know why it’s failing