ZazimFind converts standard product photography into interactive, photorealistic 3D experiences. The Zazhree engine is built for SMEs that need premium visual commerce without enterprise cost, specialist hardware, or 3D expertise.
The Zazhree platform is one core engine with multiple commercial editions. Each edition shares the same image-to-3D architecture, the user experience, deployment profile, and integrations are tailored to the sector.
Photorealistic 3D product previews for boutiques, jewellers, furniture stores, and marketplaces.
Room-scale walkthroughs and furniture placement for estate agencies, interior designers, and property marketing teams.
Secure image-to-3D and synthetic-environment tooling for training, reconnaissance, and mission rehearsal use cases.
Zazhree combines image understanding with generative neural reconstruction. The heavy lifting happens in the cloud; the user sees a fast, lightweight mobile workflow.
A vision model segments the subject from its background, classifies the item, and estimates material and spatial cues, producing a structured representation of what the object is and how it sits in space.
A neural reconstruction loop refines mesh or Gaussian primitives using score-distillation guidance from a pretrained 2D diffusion model. This enables 3D output even from a single image.
The final asset is compressed and delivered as glTF / USDZ for mobile AR and browser-based viewing. Rendering stays local; reconstruction runs on the GPU backend.
The current prototype is validated at laboratory level with a working mobile-to-cloud pipeline and quantified reconstruction outputs, suitable for investor decks, technical review, and programme applications.
Core components validated in a laboratory environment with a working AI pipeline and mobile interface.
Mean Chamfer Distance on the held-out evaluation set used in the current development programme.
Peak Signal-to-Noise Ratio achieved by the prototype on reconstructed outputs compared to test images.
ZazimFind is positioned as an affordable recurring service rather than a one-off enterprise implementation, easier to adopt, easier to budget for, and easier to scale across small businesses.
Enterprise AR tools are expensive and manual. DIY scanning apps need user effort and newer hardware. Zazhree combines automation, mobile AR, and SME-friendly pricing in one pipeline.
| Feature | ZazimFind | Enterprise AR tools | DIY 3D scan apps | In-house 3D creation |
|---|---|---|---|---|
| 2D photo → 3D model | ✓ AI-based | ✗ Manual uploads | ~ Scan dependent | ✗ In-house modelling |
| Mobile AR integration | ✓ Native in-app | ~ Often separate viewer | ~ Partial | ✗ Not available |
| Ease of use | High | Low | Medium | Very low |
| Generation speed | < 5 seconds | Often hours | Slow scanning | Days to weeks |
| SME pricing | £30–200/mo | Enterprise-level | Free/basic | Very high |
| No specialist hardware | ✓ Any smartphone | ~ Sometimes LiDAR | ✗ LiDAR / depth camera | ✗ Studio equipment |
| Continuous model improvement | ✓ Data flywheel | ✗ | ✗ | ✗ |
The production model targets reliable deployment across UK cloud infrastructure, with room to add private-cloud or on-premise options for regulated or defence use.
The reconstruction workload runs in the cloud so the mobile app stays lightweight, making performance predictable and letting the platform scale without specialist hardware.
Uploaded images and generated assets are managed under a least-privilege model, suitable for regulated environments where secure handling and data separation matter.
Zazhree embeds into storefronts, marketplaces, and internal tools through clean API boundaries and export formats that fit modern web and app stacks.
Launch a pilot, test the workflow on your catalogue, or speak with the team about a commercial, white-label, or dual-use deployment path.
