Agnoris
Helping the restaurant community we love make more profit and have happier customers with a lot less effort.
Est 2017|Raised $275K
Helping the restaurant community we love make more profit and have happier customers with a lot less effort.
Published Sep 19, 2026
Not publicly accessible in this research.
Not publicly documented.
Not publicly documented. As a small team (estimated ~5 employees in some databases), enterprise-scale support and rapid feature development could be risks.
Not publicly documented; confirm with the vendor regarding:
A Serchen listing exists for Agnoris but shows no reviews.
No vendor-published case studies were retrievable in this research due to site access constraints.
Best-fit (inferred):
Based on third-party descriptions and the product’s focus areas, Agnoris appears aimed at:
Get a comprehensive analysis of Agnoris including market position, competitive landscape, adoption trends, and peer benchmarks.
Download full report →Because end-user review content was not found, the best available evidence is descriptive rather than evaluative:
Implication: There is not enough publicly available, verifiable customer-review evidence to confidently summarize real-world satisfaction, implementation time, or support quality. For due diligence, buyers should request:
An accelerator demo day recap repost states Agnoris claims to be able to raise profits by a modest percentage. This is a vendor-side marketing claim presented by a third-party blog repost and is not independently validated.
Methodology gap: No information on whether profit refers to net operating profit, contribution margin, or gross margin; whether results account for labor changes or food cost volatility; or whether improvements were attributable to Agnoris versus operator actions that would have occurred regardless.
Agnoris is a restaurant analytics product that ingests operational data (e.g., POS and other restaurant systems) and generates recommendations intended to improve profitability—particularly around menu pricing/assortment, delivery menu decisions, and staffing/labor efficiency. Third-party summaries describe it as a guest intelligence tool and as a system that connects and collects data from restaurant systems, then produces recurring (often weekly) business insights.
Key positioning claims found in external directories include:
Important caveat: The Agnoris website is implemented as a JavaScript application and was intermittently inaccessible via automated retrieval during this research. As a result, much of the evidence base below relies on reputable third-party profiles and startup databases rather than primary vendor documentation. This increases uncertainty around current feature set, pricing, security posture, and product maturity.