
Agriculture · Startups
Predicting crop health from a farmer’s photo with AI
Assystant built the AI model, the admin web platform and the farmer app behind AgriAI’s crop-health predictions. AgriAI was later acquired by Koppert Global.
Assystant built MealsPad’s recipe and kitchen inventory app, with a small language model that suggests meals from real inventory and plans the week automatically.
MealsPad is a US recipe planning and kitchen inventory app in the food, leisure and entertainment space.
Planning meals around what’s already in the kitchen is hard for most households, and it often ends in food waste or repetitive last-minute choices. MealsPad wanted to connect recipe planning directly to kitchen inventory.
That needed intelligence, not just recipe browsing: suggestions based on what a household actually has, and a whole week planned automatically rather than one recipe at a time. It also meant a mobile and web app in the major app stores, backed by a system that matches inventory to recipes.
We built the full application with Node, React, React Native and Firebase, published it on the App Store and Play Store, and developed a small language model for recipe suggestions and weekly meal plans.
Linking inventory data to recipe suggestions gives users a smarter, less wasteful way to plan meals around what they already have.

Agriculture · Startups
Assystant built the AI model, the admin web platform and the farmer app behind AgriAI’s crop-health predictions. AgriAI was later acquired by Koppert Global.
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HR tech · SaaS
Assystant built Jaazi’s employee survey platform with built-in rewards and automatic recommendations, helping the HR tech startup raise a USD 100,000 seed round.
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SaaS · Transport & logistics
Assystant built Enroute’s route-optimisation SaaS, then re-engineered it into a real-time last-mile delivery platform without starting over.
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