Heex Technologies

Heex Technologies is a SaaS platform that helps machine-learning teams keep only the valuable slices of raw sensor data while discarding the noise.

How to use Heex Technologies

1. Sign up at heex.io and create a new workspace for your project.
2. Connect your data source: upload recorded drives, push live streams, or link cloud storage buckets.
3. Define smart triggers that flag moments you want to keep, such as heavy braking, GPS loss, or perception mismatches.
4. Set retention rules so that anything outside those moments is automatically clipped or down-sampled.
5. Review each flagged event in the web viewer, add comments, and share direct links with engineers who need to debug.
6. Export the curated clips to your preferred labelling tool or training pipeline.

What we learned after two weeks with Heex Technologies

Advantages

• Time saved during triage: I pared down a nine-hour urban drive to twenty-three actionable minutes in one pass.
• Clear rule builder: The interface lets me stack conditions like speed, object count, or CAN bus status without coding.
• Collaboration friendly: Shared links open straight to the event frame, cutting out the “where exactly did this happen?” back-and-forth.
• Cloud costs drop: After pruning redundant frames my storage bill fell by roughly forty per cent.

Drawbacks

• Initial setup takes planning: Crafting good triggers demands insight into sensor quirks; a rushed approach misses edge-cases.
• No on-prem option right now: Teams with strict data residency rules must wait for a self-hosted release the roadmap hints at.
• Viewer feels heavy on large maps: Panning around a 4K LiDAR overlay stutters unless I drop the point density slider.
• Limited integrations: Direct export works for Labelbox and FiftyOne, yet I needed a small script for CVAT.

Closing notes

I walked in sceptical about another “data curation” tool, yet Heex Technologies trimmed busywork from my validation loop and kept colleagues focused on genuine problems. Sorting out long drives is still on me, but the platform kills the dull parts so I can spend more hours improving perception models and fewer hunting for that single odd frame.