Agrima
Advanced Computer Vision Solutions for Food and Retail.
Est 2011|Valuation $3.8M|Raised $760K
Advanced Computer Vision Solutions for Food and Retail.
Published Aug 14, 2026
No public roadmap or release notes were found in accessible sources during this research.
A product or vendor page with structured reviews for Agrima/Psyight was not found in accessible search results. Attempts to locate Agrima on common review platforms did not return clear, public listings.
Consequence: There is limited availability of third-party, structured buyer reviews for Agrima, which increases the importance of references, pilots, and proof-of-concept evaluations during procurement.
LinkedIn and other social posts referenced the acquisition and ecosystem recognition but did not provide structured product reviews or detailed operational feedback.
Acquisition coverage includes quotes about capabilities and claimed performance. For example, press coverage referenced large numbers of images per SKU across seasons and locations and asserted high accuracy. Such claims are marketing statements and were not accompanied by independent validation or methodological detail in the press materials.
Likely mid-market to enterprise retailers and regional chains; public materials do not specify minimum contract sizes.
Agrima positions its technology for food and retail companies, with emphasis on:
External coverage places the technology as relevant to Indian retail contexts where produce identification without barcodes is a practical challenge.
Get a comprehensive analysis of Agrima including market position, competitive landscape, adoption trends, and peer benchmarks.
Download full report →Because there are no readily available G2/TrustRadius-style reviews, it is difficult to verify real-world accuracy, latency, exception handling, and support quality. This makes pilots and customer references important.
Recommended procurement actions: Request a small number of customer references (ideally outside the acquiring organization if available), run a pilot in representative stores that reflect local lighting and camera angles, and measure recognition accuracy, transaction time, exception rates, intervention time, and shrink/fraud incidents.
Multiple sources indicate BigBasket planned to implement Psyight at self-checkout counters and/or used it in Fresho physical stores.
What can be credibly stated from public sources:
What remains unclear or unverified:
Vendor-published or press-quoted accuracy statements should be treated cautiously when methodology, dataset composition, and error handling procedures are not provided.
Agrima (Agrima Infotech; company website) is a retail-focused provider of computer vision and IoT solutions for the food and grocery sector. Public materials indicate the core offering is a food-focused computer vision recognition platform (Psyight) together with related retail hardware and workflows such as self-checkout, smart IoT devices for kirana stores, and an intelligent weighing scale workflow that attempts to reduce manual SKU selection by recognizing items via vision.
Important product clarity note: Public information indicates Agrima primarily operates as a solutions company and platform provider rather than a self-serve SaaS product with published packaging, developer documentation, and pricing. Much of the product appears to be sold via demos and business-development conversations rather than through self-service purchase.