🍲 AI x Food

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Top picks

A quick highlight

Matic

Amount: $24M 🎉

Round: Series A

Lead Investors: Adam D’Angelo, Daniel Gross, Jack Dorsey, John Collison, Nat Friedman

Matic is developing robots that can navigate homes to clean “more like a human,”.

The robot uses an array of cameras to map spaces and understand where it is in them. All processing happens on the robot (on hardware “equivalent to an iPhone 6,”), and mapping and telemetry data is saved locally, not in the cloud, unless users opt into sharing.

flavrs

Amount: $7M 🎉

Round: Seed

Lead Investor: Andreessen Horowitz

Flavrs is a shoppable video app that leverages AI to enhance the user experience in a few key ways:

Personalized Recommendations: The AI system learns from the user’s behavior, preferences, and interactions within the app. It then uses this information to provide personalized recipe recommendations, enhancing the user’s culinary journey.

Intelligent Shopping: When users discover a recipe they want to try, the AI assists by creating a shopping list of ingredients needed for the recipe.

Smart Takeout Feature: If a user comes across a video from a restaurant and wants to place a takeout order, Flavrs uses AI to facilitate this process.

Factory

Amount: $5M 🎉

Round: Seed

Lead Investors: Lux Capital, Sequoia Capital

Factory has developed a platform that can autonomously solve simple coding problems.

Factory’s systems, referred to as “Droids”, are designed to handle various repetitive, time-consuming software engineering tasks. These tasks include reviewing code, refactoring or restructuring code, generating new code from prompts, generating and updating documentation, writing tests, answering deeper questions about the engineering system, and planning and designing requirements based on customer support tickets and feature requests.

Sweep

Amount: $2M 🎉

Valuation: $25M (post-money)

Round: Pre-Seed

Investors: Goat Capital, Replit CEO Amjad, Replit VP of AI Michele Catasta, and Exceptional Capital

Sweep allows devs to describe a request in natural language and generate the corresponding code.

The platform can then push that code to the appropriate codebase via a pull request. Sweep specializes in writing Python code and leverages a combination of AI models for code generation. They include OpenAI’s models, but also a custom “code search engine” that helps plan and execute “repository-wide” code changes.

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