BraceFlow

The Lab Economics

Lab-Relevant Economics

50 Hours

Time saved per month

$30k

Annual labor capacity regained per seat

2–3X

Distributor Engagement Lift

15–30%

New Product Adoption Rate

Attribute	BraceFlow (Our System)	Ortho System	IDB	Lab
Time per case (scan → printable jig)	24 min (in-house, AI-driven)	~60–90 min (semi-automated; manual refinement-heavy)	~5 min orthodontist input + 10 business days lab turnaround	~10 min planning; IDB is in beta
Software seat cost (public-info ranges)	Transparent pricing — $49 to $499 Monthly Plan	Quote-based; resellers report ~$5K–$15K+ initial + $1.5K–$4.5K/yr renewal per seat	Bundled subscription + per-case fees; not publicly listed	Per-aligner pricing (~$35 USD / aligner); no traditional seat license
Scanner agnostic	Yes — TRIOS, iTero, Medit, Carestream (STL/PLY)	Partial — optimized for TRIOS; STL/DICOM imports supported	Yes — accepts major intraoral scan formats	Yes — standard scan file imports
AI bracket placement	Yes — fully AI-driven initial placement with torque / tip / in-out validation	Semi-AI — rule-based auto-setup; AI features added in recent versions	Limited in-software AI; relies on SureSmile-certified lab technicians	AI-assisted (primary focus is aligners; IDB module still in beta)
Training required	Low — designed for short onboarding, no certification	High — multi-day training typical; complex UI with module-by-module licensing	Moderate–high — certification required for outsourced workflow	Low — self-service oriented; 10-min planning workflow
Deployment model	In-house software, single workflow	In-house software, multi-module	Outsourced lab service (10-day turnaround)	In-house software + optional concierge service
Best for	Labs and practices needing fast, in-house, AI-first IDB	Established labs with existing 3Shape ecosystem	Practices that prefer outsourced planning, no in-house lab	Aligner-first practices adding limited IDB capability

Note: Pricing and time-per-case figures reflect publicly available information as of May 2026. Competitor pricing varies by region, package, and reseller — figures shown are industry-reported ranges. All competitor trademarks belong to their respective owners. See 'Sources & Notes' tab for citations.

The Challenge

Traditional digital bracket placement is slow, expensive, and tethered to legacy enterprise software that requires 90+ minutes per case. We built a wedge to break that bottleneck.

What the System Does

Intelligent Bracket Placement

AI-driven suggested positioning based on clinical norms.

Precision Adjustment

Intuitive manual controls for micro-movements.

Photorealistic Rendering

High-fidelity metal brackets for clear communication.

Predicts Collision/Interference

simulates archwire engagement against prescribed bracket positions to flag interferences, occlusal collisions, and torque/tip discrepancies before bonding.

Outcome

By moving the IDB workflow to our AI-driven environment, labs have effectively eliminated the 'CAD bottleneck.' The manual 90-minute placement process has been condensed into a 24-minute automated sequence that yields higher clinical accuracy and a validated jig fit across dozens of consecutive cases in beta. This system doesn't just save time; it expands a laboratory’s production capacity without the need for additional hiring or expensive legacy software seats.

Intelligent Orthodontics

AI-Powered Analysis

Our proprietary engine performs a comprehensive clinical analysis of the scan in seconds, ensuring every bracket placement is biologically and mechanically optimized. Unlike manual CAD, the AI accounts for multiple orthodontic variables simultaneously to prevent mid-treatment corrections.

Diagnostic Analysis (Bolton, IPR, torque)
Placement Intelligence (auto-curve, collision detection)
Predictive Validation (movement simulation, mid-treatment correction prevention)

“BraceFlow is a dedicated laboratory workflow tool, not classified as a medical device, and is engineered with a cloud or on-premise infrastructure. Its precision is clinically proven, having been validated against 163 cases across 3 specialized labs in India, with an additional 7 partner labs currently finalizing beta validation to ensure peak performance in diverse production environments.”