Food waste, often without obvious visibility, quietly undermines profits as well as sustainability in kitchens all around.
Orbisk wants to help alter this; led by Anastasia Dellis, the Dutch start-up is using artificial intelligence-driven systems that automatically catch and evaluate discarded items, therefore greatly lowering waste in professional kitchens and improving processes.
Orbisk said recently that it would enter the U.S. market, a decision timed with rising interest in cost savings and ESG reporting among major hospitality companies. Anastasia Dellis offers more than twenty years of experience scaling purpose-driven companies all over.
Her goal at Orbisk is evident: to convert back-of-house kitchens into wiser, waste-conscious settings using AI, computer vision, and operational design.

Orbisk’s approach centers on the ‘Orbi’ device, which incorporates on-device computer vision with cloud-based artificial intelligence.
The machine shoots a photo and runs it through a model trained on millions of photos from actual kitchens every time kitchen staff throw away rubbish. The artificial intelligence then analyses ingredients, calculates servings, and takes the preparation context into account.
The pricing look-up (PLU) codes, among other recipe metadata, are used to match the visual data against menu items; therefore, every waste incident is linked to a commercial line item rather than to general “food waste.”
Because manual logging just does not scale, it is sometimes slow, inconsistent, and ultimately forsaken by hectic kitchen staff—this fine-grained recognition matters.

The gathering of data is merely one part of the whole story. Through Orbisk’s ‘AI-Powered Actions’, raw waste data is transformed into prioritized action suggestions for the organization.
By looking at behavior across days, shifts, service types, and many sites, the technology discovers the inefficiencies that human inspectors would overlook.
Such proposals usually lead to direct actions: reduce specific ingredients on specific days, modify purchase levels, change menus or recipes, and adjust portion sizes.
For cooks and kitchen heads, the recommendations imply benefits that are not only visible but also measurable: less food cost, fewer last-minute shortages, and more reliable operating margins.
Because recommendations are focused, practical, and based on actual data, teams may rapidly put modifications into effect, sometimes observing visible changes in just weeks.

Orbisk recently concluded an €8 million Series A round, mostly led by sustainability-oriented investors. The capital will be used across three main areas: accelerating AI and integration development, growing sales and customer leadership, and forming strategic partnerships to simplify launches.
This injection helps Orbisk’s foray into the U.S. and other developing economies, therefore facilitating faster execution, more regional support, and a road map customized to the realities of major foodservice activities.

Dellis sees a future wherein kitchens go from hand tracking to almost complete automation. Based on real-time consumption and waste data, Orbisk’s next frontier is systems that dynamically change procurement triggers, assist in menu planning, and even help with employee scheduling.
Achieving a genuinely zero-waste ecosystem internationally will call for more than just technology; it will also call for policy changes, supply chain adjustments, and shared responsibility among all stakeholders.
But in professional kitchens where garbage may be tracked, measured, and acted on, Dellis believes reaching almost-zero preventable garbage is a doable and significant goal.
The hospitality sector could steadily move toward leaner, more sustainable operations with evident advantages for both the environment and the bottom line as more operators embrace AI-driven waste tracking and management solutions. Orbisk aspires to be at the forefront of that change under Dellis’s direction.
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