Bengaluru has no shortage of computer-vision shops chasing fashion retail. AI Mage, founded in 2021, is one of the smaller ones, and it has picked a narrow lane: virtual try-on for the categories where Indian shoppers actually hesitate before tapping buy. Spectacles. Jewelry. Cosmetics. Clothing. The pitch is mobile-first and SDK-shaped, aimed squarely at brand apps on Android and iOS [YNOS].
The company calls itself AIMAGE Technologies on LinkedIn and AI Mage Technologies on its corporate site. The branding is messy. The thesis is not.
The wedge: try-on as conversion tool
AI Mage frames its work as a fix for two retail problems, product discovery and sales conversion, using what it calls image augmentation [AIMAGE Technologies LinkedIn]. In plain English: get the shopper to see the frames on their own face, the necklace on their own collarbone, 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 where category leaders in eyewear and jewelry have spent the last five years pouring money into AR mirrors of their own. 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], which reads as adjacent revenue rather than core strategy.
Why the category has tailwinds
Virtual try-on stopped being a novelty roughly when Lenskart turned its in-app mirror into a default purchase step. The Indian eyewear and jewelry markets are now 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 exactly that vendor role. The product surfaces map cleanly to the highest-return categories in Indian e-commerce:
- Spectacles. A premium try-on app already in market, structured to demo the SDK to optical brands [Google Play, 2026].
- Jewelry. A dedicated try-on app for necklaces, earrings, and bangles, the categories where photo-on-model marketing converts worst [Google Play, 2026].
- Cosmetics and clothing. Listed as supported categories on the YNOS profile, extending the same image-augmentation stack into beauty and apparel [YNOS].
- Digital marketing. The same try-on assets repurposed as campaign content, a second revenue surface beyond pure SDK licensing [YNOS].
Four shots on goal in a market where each category has its own buyer inside the same brand.
The team and the check
AI Mage is small. LinkedIn lists company size at two to ten employees [AIMAGE Technologies LinkedIn], which is consistent with a seed-stage shop selling SDKs to mid-market retailers. 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] |
Round size and valuation for the 2024 raise are not in the public record. None of the three named investors are household names in Indian venture, which fits the profile of a seed deal sourced through accelerator pipelines rather than a top-tier fund auction.
Where the wheels could come off
The honest counterfactual on AI Mage is competitive, not technical. 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, which is exactly what the largest category leaders have already done.
A two-to-ten-person team selling enterprise SDKs has to win on focus and price. That is doable. It is also a margin-thin path that requires either deep India retail relationships or a defensible technical edge in the categories AI Mage has chosen. Neither is visible in the public record yet, and the absence of named brand customers in any captured source is the gap a Series A diligence team will probe first.
The seed money from BuzzMentr, Foundry, and Yuurea, combined with the India Accelerator imprimatur, buys the company runway to put real logos on the page. The 12-month question for any reader watching this one: does AI Mage convert its two consumer try-on apps into a named brand SDK deployment that an outside investor can underwrite, or does it stay a showcase shop in a category where the biggest buyers eventually build their own mirror?
Sources
- [YNOS] Ai Mage, Commerce and Shopping Startup, Bengaluru | https://www.ynos.in/companies/ai-mage
- [Crunchbase] AIMage, Crunchbase Company Profile and Funding | https://www.crunchbase.com/organization/ai-mage
- [AIMAGE Technologies LinkedIn] AIMAGE Technologies Company Page | https://in.linkedin.com/company/aimage
- [Google Play, 2026] AI Mage Prima, Spectacles Virtual Try-On | https://play.google.com/store/apps/details?id=com.aimage.specsdemo
- [Google Play, 2026] Android Apps by AI MAGE on Google Play | https://play.google.com/store/apps/dev?id=6364754507758431390
- [AI Mage Technologies, 2026] AI Mage Technologies, Product Discovery and Virtual Try-On | https://www.aimage.in/
- [Tracxn, 2026] AI Mage, Raised Funding from 3 Investors | https://tracxn.com/d/companies/ai-mage/__IsBtbFKSaPBiKLlfHtVLfDZVCNKFMsI9PBVN0mihfPw/funding-and-investors