Intelligent Notifications: Stop Hunting for Answers. Start Resolving.

Paris, France - December 3rd, 2025

It's 3 AM. Your robot stops. You don't need a ping; you need an efficient way to know what to do about it.

Today, we are excited to announce Heex Intelligent Notifications. You can now route critical alerts directly to Slack, Email, or other solutions, targeted specifically to the right person based on your custom data capture scenarios.

But we didn't build this just because "every platform has notifications." We built it as part of a wider effort because we believe the industry's current workflow for incident resolution is fundamentally broken.

The Problem: A Broken Incident Workflow

The robotics industry has standardized on a reactive pattern that kills productivity:

  1. Dashboard Monitoring: Engineers are not paid to stare at screens, hoping to catch anomalies
  2. The "Check Engine" Alert: When an alert finally comes, it's generic: "Error on Robot #42"
  3. The Hunt: This starts an investigation loop, digging through logs, scrubbing timelines, trying to find root causes
  4. Delayed Response: By the time you understand the problem, hours have been lost

Typical example: A warehouse AMR stops at 3 AM due to low battery during navigation. The alert pings at 3:02 AM: "Robot #42 Error." The on-call engineer logs in, scrubs 6 hours of timeline data, checks battery logs, navigation logs, and zone maps. By 9 AM, they identify the root cause: battery management failed in a specific warehouse zone. 6 hours of productivity lost to investigation, not resolution.

This is Dashboard Dependency, we believe engineers should focus on deep work—coding, testing, planning—confident that the platform will pull them back only when their attention is strictly required, with exactly the context they need to act, efficiently.

The Heex Difference: Contextual Payload

While most tools just move the noise from the dashboard to your inbox, Heex changes the nature of the notification itself.

Because our platform is built on Smart-Data (capturing only the relevant 15-30 seconds of data around critical events), our notifications carry a Contextual Payload.

The Trigger: High-Cardinality Scenarios

Instead of simple thresholds, you alert on complex operational conditions:

  • "Battery < 20%" AND "Status = Navigating" AND "Zone = Warehouse B"
  • "Sensor calibration drift > 2%" AND "System = Production Fleet"
  • "Navigation failure" AND "Obstacle detection active"

Whether running live at the Edge or on server-side historical data, you define precisely what matters.

The Payload: Self-Contained Context

You don't land on a timeline to search; you land on a self-contained extraction—the exact 15-30 seconds of data surrounding the incident, already isolated and ready to analyze:

  • What happened: The specific event and triggering conditions
  • The full raw data you need: Direct access to recordings, logs, sensor data
  • No hunting required: Everything relevant is already packaged together

You get immediate understanding—without digging through hours of logs.

Under the Hood: Precision & Flexibility

We engineered this system to be the backbone of modern incident resolution:

Precision Filtering

Stop alert fatigue. Target exactly what matters:

  • System-level: A single robot, entire fleet, or custom label groups ("Delivery Units", "Site Paris")
  • Trigger-based: Filter by specific Smart-Data scenarios you've configured
  • Severity-aware: Different rules for Critical, High, Medium, Low priority events

Smart Delivery

Route alerts based on urgency and workflow:

  • Slack → Immediate team collaboration for critical operational failures
  • Email → Documentation, compliance logs, executive summaries
  • In-Platform → Non-urgent alerts reviewed during next login

Role-Based Rules

Different teams, different priorities, unlimited flexibility:

  • For Ops: "Alert on Slack if any robot stops for >5 mins in active zones"
  • For R&D: "Email if sensor calibration drifts beyond 2%"
  • For Execs: "Weekly summary of critical downtime events"

A Seamless Workflow for the AI Era

Intelligent Notifications are the delivery layer of our vision for Conversational Incident Resolution:

  1. Setup (The Intelligence): You define what matters. With Heex Copilot (Beta), configuration becomes conversational: "Alert Ops on Slack when navigation fails and battery drops below 20%". The AI creates the trigger, configures the notification, and confirms—no forms, no dropdowns, just intent.
  2. Notification (The Delivery): When that specific scenario occurs, Heex notifies the right person with the full context attached.
  3. Resolution (The Analysis): You click the alert, land directly on the dataset, and use Copilot to instantly analyze the root cause and shape solutions.

This is incident resolution at AI speed. No hunting. No guessing. Immediate action.

Real-World Impact

Warehouse AMR Operations

  • Without Heex: 3 AM robot stop. Generic alert: "Robot #42 Error." On-call engineer spends 6 hours investigating logs. Root cause identified at 9 AM.
  • With Heex: Slack alert with context: "Robot #42 stopped in Zone C. Battery <15% during navigation. Engineer get the 30s data extraction in 1 click, analyzes with Copilot Ai, deploys fix by 3:20 AM. Response time: 18 minutes vs 6 hours.

Robotics R&D Team

  • Without Heex: Sensor calibration drift discovered during weekly review (11 days across 8 test robots).
  • With Heex: Email alert within 2 hours of threshold breach. Fix deployed before production.

Available Today

Intelligent Notifications are live now for all users.

Stop watching the dashboard. Let the resolution come to you.

Ready to eliminate dashboard dependency?

Configure Your First Alert →

Want conversational configuration with Heex Copilot?

Join the Beta Program →

Heex Technologies provides Smart-Data intelligence for robotics development teams. Our edge-first platform captures relevant events in real-time, eliminating data overload and accelerating development cycles. Learn more at heex.io.