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Relu

February 27, 2026

Bleaching trays: From time-consuming design to AI

Bleaching trays are one of the most frequently requested cosmetic appliances in dentistry. While simple in concept, they are surprisingly time-consuming to design—often taking 15+ minutes per arch, for work that adds little differentiation. For busy labs, repetitive work such as undercut block-outs and reservoir sculpting for every single tooth can quickly become a time bottleneck. As digital production accelerates across orthodontic, restorative, and implant workflows, many labs are asking: how can we increase bleaching tray output without increasing the workload for technicians?

At their core, bleaching trays are thin, custom-fitted devices that hold whitening gel evenly across the teeth. Dentists prescribe them because they offer predictable whitening results and better soft-tissue protection than over-the-counter alternatives.

THE TRADITIONAL MANUAL WORKFLOW

THE TRADITIONAL MANUAL WORKFLOW

Even though bleaching trays appear simple, the production process requires several manual steps:

  1. Manual bottleneck: print a model based on the intraoral scan
  2. Manual bottleneck: block out undercuts
  3. Manual bottleneck: build a resin reservoir on each tooth
  4. Thermoform the bleaching tray over the model
  5. Remove the formed tray and trim it
  6. Smooth all gingival margins for patient comfort

For small practices, this may be manageable. But for high-volume digital labs, these repetitive steps consume hours of time for skilled technicians each day—time that could instead be spent on applications with higher profit margins.

WHERE AI MAKES THE DIFFERENCE

WHERE AI MAKES THE DIFFERENCE

Relu’s AI design service now applies the same automation used for night guards, surgical guides, and dental models to bleaching trays. In this way, the bleaching tray workflow is transformed into a fast, consistent, and scalable process:

  1. Upload the intraoral scans into the bleaching-tray recipe on automate.relu.ai
  2. Export a ready-to-print model containing all block-outs and precisely shaped bleach reservoirs
  3. Thermoform the tray as usual
  4. Remove, trim, and finish

The most significant gain is clear: manual creation of tooth-by-tooth reservoirs is eliminated.

This step alone takes around 15 minutes per arch and requires additional material. Removing this process can reduce production costs by approximately €19 per model—factoring in technician time and additional resin material—while freeing technicians for more complex work.

And the impact on capacity is significant:

Relu can process up to 100 bleaching-tray cases simultaneously in minutes, turning what used to be a multi-day backlog into a same-day workflow.

AI handles cleaning, basing, block-outs, reservoir geometry, and undercut control with consistency that is difficult to achieve manually. Labs maintain complete oversight while no longer spending hours on repetitive tasks. For production teams, this means:

  • Predictable, repeatable quality
  • Constant scalability through batch uploads
  • Lower overall cost per bleaching tray

“Relu can process up to 100 bleaching-tray cases simultaneously in minutes, turning what used to be a multi-day backlog into a same-day workflow.”

WHAT PATIENTS ARE CHOOSING TODAY

WHAT PATIENTS ARE CHOOSING TODAY

While custom bleaching trays remain the gold standard, patients often compare them with:

  • In-office whitening
  • LED whitening kits
  • Whitening strips
  • Whitening toothpastes and gels

These alternatives vary widely in strength and consistency. A custom bleaching tray stands out because it offers uniform gel contact, controlled dosage, and minimal gingival irritation, all of which depend on a high-quality, consistent design. As patients become more informed, the consistency and comfort of custom bleaching trays increasingly reflect on the lab that produced them.

A SMALL DEVICE WITH SIGNIFICANT WORKFLOW IMPACT

A SMALL DEVICE WITH SIGNIFICANT WORKFLOW IMPACT

As digital dentistry evolves, even small appliances such as bleaching trays can benefit significantly from AI automation. Labs can scale production without extra hiring, clinicians enjoy reliable output, and patients receive predictable whitening results.

For labs ready to modernise their bleaching-tray workflow and remove the most repetitive steps from their production, Relu’s automated design service is available at www.relu.ai!

Book a short, free demo to see how a single scan becomes a ready-to-print bleaching-tray model.

NOTES

(1) Based on the survey in August 2023 in CAN of 10 Invisalign trained orthodontists who participated in the Invisalign® Palatal Expander System Technical Design Assessment and have treated at least 1 patient age 6-11 years with IPE, who responded to the question: “Please indicate your agreement with the following statement: Patients treated with the Invisalign® Palatal Expander System experience better oral hygiene than those patients treated with traditional palatal expanders (such as Schwartz, Hyrax, etc.)”. Agreement scale is 1-4 with 1 being “strongly disagree” and 4 being “strongly agree”. Data on file at Align Technology, as of October 30, 2023.

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