A 5–10 second video
A seller films a quick multi-angle pass on their phone — no rig, no studio, no special hardware required.
TryAI Labs turns an ordinary 5‑second phone video into a light‑reactive, physics‑aware 3D asset — so marketplaces can show shoppers what they're actually buying, at catalog scale.
Shoppers can't judge scale, depth, or how a material actually behaves from a product photo — so they guess, order the wrong thing, and send it back.
Built for platforms that publish thousands of fresh listings a day — not a handful of handcrafted hero SKUs.
A seller films a quick multi-angle pass on their phone — no rig, no studio, no special hardware required.
NeRF and 3D Gaussian Splatting rebuild the object as a dense, spatially accurate point cloud in the cloud.
PBR materials, environment-matched lighting, and physics shaders turn the reconstruction into a product a shopper can trust.
High-concurrency cloud nodes carry the neural processing load, so the on-device SDK stays instant for the shopper.
Merchant records a short multi-angle video on their phone.
A vision model separates the product from background and noise.
3D Gaussian Splatting and NeRF passes run concurrently in the cloud.
The asset is packaged down to lightweight .gltf / .usdz output.
The SDK renders a physics-aware product, matched to local light.
The moat isn't 3D creation on its own — it's automated material, lighting, and physics translation, run at catalog scale.
Builds dense point clouds directly from ordinary 2D video — no photogrammetry rig, no controlled studio environment.
Strips out the original capture lighting entirely, then applies PBR shaders that match whatever light the shopper's own camera sees.
Constraint models simulate weight, flex, and drape, so soft goods behave like fabric instead of rigid plastic.
A product that looks like it belongs in their room — not a sticker laid on top of it.
The initial wedge: high-volume marketplaces where every listing needs to earn buyer confidence on its own.
Curated peer-to-peer and managed marketplaces — streetwear, vintage, electronics, specialty hardware.
Enterprise DTC brands and storefront networks that need automated 3D catalog scaling.
Consumers already expect immersive shopping; marketplaces need conversion and return-rate levers with clean API economics.
TryAI turns 3D from a services workflow into a high-throughput infrastructure layer.
| TryAI Labs | Standard mobile AR | Legacy 3D studios | |
|---|---|---|---|
| Asset creation | Fully algorithmic AI | Manual asset creation | Hand-modeled by artists |
| Ingestion | Standard 2D video | Complex 3D model files | Studio photogrammetry rigs |
| Turnaround | < 10 minutes | Days to weeks of dev | Weeks per SKU |
| Realism | Dynamic light + physics | Static WebGL textures | High quality, rigid meshes |
| Scalability | API concurrency | Manual tuning bottleneck | Not built for platform scale |
Moat: automation + realism + catalog-scale concurrency.
Land with developer velocity where catalog volume matters most. Expand with measurable marketplace economics.
Native iOS SwiftUI and Android Kotlin wrappers, targeting under 50 lines of integration code.
Power-seller access inside peer-to-peer marketplaces to generate real ROI proof.
Native integrations with Shopify Plus and Salesforce Commerce Cloud.
Sales engineers pitch product and engineering leaders with live catalog demos.
Monthly invoice = Base subscription + (volume processed × compute surcharge)
Async neural pipeline compilation, with provisional patents filed for lighting extraction and PBR translation.
Closed beta across 15 streetwear and collectible-apparel marketplaces, with the SDK held under a 12 MB footprint.
Open the developer API and raise a $3.5M seed round to expand technical customer success and engineering.
We're opening early SDK access to marketplace teams who want to cut return rates before their next catalog push.