Bengaluru has no shortage of computer-vision shops chasing fashion retail. AI Mage, founded in 2021, has picked a narrow lane: virtual try-on for the categories where Indian shoppers hesitate before tapping buy. Spectacles. Jewelry. Cosmetics. Clothing. The pitch is mobile-first and SDK-shaped, aimed at brand apps on Android and iOS [YNOS].
The wedge: try-on as conversion tool
AI Mage frames its work as a fix for product discovery and sales conversion using image augmentation [AIMAGE Technologies LinkedIn]. Get the shopper to see the frames on their own face, the necklace on their own collarbone, or the lipstick on their own mouth, and they buy more and return less.
That is a defensible wedge in India, where mobile commerce dominates and category leaders in eyewear and jewelry have spent the last five years pouring money into AR mirrors. The company ships consumer-facing apps on Google Play under the AI Mage developer account, including a premium spectacles try-on called AI Mage Prima and a jewelry try-on called AIMage Jewels [Google Play, 2026]. Those apps double as showcases for the underlying tech the company is trying to license to brands.
There is also an event photo-sharing product on the corporate site [AI Mage Technologies, 2026].
Why the category has tailwinds
Virtual try-on is a default purchase step for many. The Indian eyewear and jewelry markets are conditioned to expect AR before checkout, and smaller D2C brands need a vendor because they cannot afford to build computer-vision pipelines in-house.
AI Mage is pitching that vendor role. The product surfaces map to high-return categories in Indian e-commerce:
- Spectacles. A premium try-on app structured to demo the SDK to optical brands [Google Play, 2026].
- Jewelry. A dedicated try-on app for necklaces, earrings, and bangles [Google Play, 2026].
- Cosmetics and clothing. Supported categories extending the image-augmentation stack into beauty and apparel [YNOS].
- Digital marketing. Try-on assets repurposed as campaign content [YNOS].
The team and the check
AI Mage is small. LinkedIn lists company size at two to ten employees [AIMAGE Technologies LinkedIn]. The company graduated from India Accelerator and has raised a seed round backed by BuzzMentr, Foundry, and Yuurea.
| Detail | Value |
|---|---|
| Founded | 2021 [YNOS] |
| Headquarters | Bengaluru, India [YNOS] |
| Stage | Seed, Funded |
| Accelerator | India Accelerator |
| Seed investors | BuzzMentr, Foundry, Yuurea |
| Team size | 2 to 10 [AIMAGE Technologies LinkedIn] |
| Categories | Spectacles, jewelry, cosmetics, clothing [YNOS] |
Where the wheels could come off
AR try-on is a crowded category globally, with vendors selling into the same brand procurement teams the company needs to win. Indian buyers also have the option of building in-house once volumes justify the engineering cost. A two-to-ten-person team selling enterprise SDKs must win on focus and price. The absence of named brand customers in any captured source is the gap a Series A diligence team will probe first.