Partners

Material Partner Program

Make your material easier to run—and easier to trust—by pairing it with Helio’s in-slicer simulation and optimization.

We characterize your material, then ship customers a simple “how to run it” workflow that improves speed and repeatability without guesswork.

What you get

  • Material characterization so Helio can model and recommend the right run strategy.
  • A co-marketing badge: “Powered by Helio” for your website/product pages (and packaging if you want).
  • An in-box data card that tells customers how to get the best results with Helio (and where to click).
  • A monthly insights report: which printers your material was used on and the performance impact Helio delivered (e.g., speed, thermal quality, consistency).
  • Ongoing updates as Helio improves (new heuristics, better defaults, new workflows).

What we need from you

  • A ~5 kg sample of the material you want characterized.
  • Basic recommended settings (nozzle temp, bed temp, fan guidance, etc.).
  • The target printer ecosystem(s) you want to support first.
Typical turnaround is a few days once we receive the sample.

How it works

Step 1
Ship sample
Send ~5 kg and your recommended baseline settings.
Step 2
We characterize
We run characterization and validate the workflow in Helio.
Step 3
Launch + update
You get “Powered by Helio” assets + a customer-facing data card; we iterate over time.

Commercial model

The program is available as a monthly or yearly subscription. Pricing depends on the scope (number of SKUs, ecosystems, and desired depth of characterization).

Contact

Share a few details about the material(s) you want to support, and we’ll follow up with next steps.

  • Which material(s) / SKUs do you want to characterize first?
  • Which printer ecosystem(s) should we validate on (for example, Bambu Lab)?
  • Do you have baseline recommended settings + a technical data sheet we can reference?
  • Can you ship a ~5 kg sample for characterization, and what’s your target timeline?
  • What customer outcome are you optimizing for (speed, strength, reliability, repeatability)?