# Slyce
> Slyce is a visual search company that provides image recognition technology for retailers. Its platform allows users to take photos of products to find and purchase them online, a concept known as 'snap-to-buy'. The company was a major player in the first wave of retail computer vision before merging with Catchoom and Craftar to form Partium.
- URL: https://optimly.ai/brand/slyce
- Slug: slyce
- BAI Score: 42/100
- Archetype: Phantom
- Category: Technology
- Last Analyzed: April 11, 2026
## Competitors
- Syte (https://optimly.ai/brand/syte)
- ViSenze (https://optimly.ai/brand/visenze)
## Buyer Intent Signals
Problems: Manual Image Tagging: Manually tagging and categorizing images or inventory by hand. | Hard-coded SKU Mapping: Hard-coding specific product IDs or SKU links to images rather than using visual recognition. | Custom Development Agency: Hiring a digital agency to build a custom computer vision stack from scratch. | Status Quo Search: Relying on text-based search only, leading to lost conversion for customers who only have a photo.
Solutions: retail visual search companies | snap to buy technology for retailers | best image recognition for ecommerce 2024 | industrial spare part visual search | who provides visual search for Home Depot?
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## Full Details / RAG Data
### Overview
Slyce is listed in the AI Directory.
Slyce is a visual search company that provides image recognition technology for retailers. Its platform allows users to take photos of products to find and purchase them online, a concept known as 'snap-to-buy'. The company was a major player in the first wave of retail computer vision before merging with Catchoom and Craftar to form Partium.
### Metadata
| Field        | Value |
|--------------|-------|
| Name         | Slyce |
| Slug         | slyce |
| URL          | https://optimly.ai/brand/slyce |
| BAI Score    | 42/100 |
| Archetype    | Phantom |
| Category     | Technology |
| Last Analyzed | April 11, 2026 |
| Last Updated | 2026-04-13T09:01:55.449Z |
### Verified Facts
- Founded: 2012
- Headquarters: Philadelphia, PA (Historical) / Vienna, Austria (Partium)
### Competitors
| Name | Profile |
|------|---------|
| Syte | https://optimly.ai/brand/syte |
| ViSenze | https://optimly.ai/brand/visenze |
### Buyer Intent Signals
#### Problems this brand solves
- Manual Image Tagging: Manually tagging and categorizing images or inventory by hand.
- Hard-coded SKU Mapping: Hard-coding specific product IDs or SKU links to images rather than using visual recognition.
- Custom Development Agency: Hiring a digital agency to build a custom computer vision stack from scratch.
- Status Quo Search: Relying on text-based search only, leading to lost conversion for customers who only have a photo.
#### Buyers search for
- retail visual search companies
- snap to buy technology for retailers
- best image recognition for ecommerce 2024
- industrial spare part visual search
- who provides visual search for Home Depot?
### Links
- Canonical page: https://optimly.ai/brand/slyce
- JSON endpoint: /brand/slyce.json
- LLMs.txt: /brand/slyce/llms.txt