InFLOWS AI

Shutdown

Website unreachable since Oct 28, 2026

InFLOWS AI utilizes a chemistry-aware engine powered by machine learning to rapidly identify and qualify green ingredient alternatives, reducing the formulation discovery process from multiple cycles to a single iteration. This technology enables consumer packaged goods manufacturers to enhance product sustainability and supply chain resilience while minimizing trial and error in ingredient selection.

Traction 9/10

East New York, United States · HQ

Founded 20229700+ followers

Agriculture Technology
Artificial Intelligence
Data & Analytics
Chemical Technology
Software Only

Updated 23 months ago

Funding

Raised to date

$320KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

1 founder

Abdou Kane

Founder

Product

Problem

The process of identifying and qualifying green ingredient alternatives in chemical formulation is often slow and iterative, requiring multiple cycles of ordering, waiting, testing, and reformulation. This lengthy process hinders the ability of consumer packaged goods (CPG) manufacturers to rapidly enhance product sustainability and supply chain resilience.

Solution

InFLOWS AI offers a chemistry-aware engine powered by machine learning to accelerate the discovery and qualification of sustainable ingredient replacements. The platform enables users to pinpoint high-potential green alternatives, reducing the formulation discovery process from multiple cycles to a single iteration. By leveraging a pre-trained AI engine, InFLOWS AI provides computer-aided assistance with chemical selection and design guidance, without requiring users to input proprietary data for training. The system relies on the 12 principles of green chemistry, using scientific papers, safety information, and supply chain data to recommend safe, effective, and bio-based ingredients.

Target Audience

The primary customers are responsible CPG manufacturers seeking to "greenify" their brand portfolio and green ingredient suppliers looking to accelerate market uptake of sustainable materials.

Features

Chemistry-aware engine powered by machine learning for rapid identification of green ingredient alternatives
Pre-trained AI platform that doesn't require proprietary data input
Automated data processing with user-friendly interfaces
Access to a database of thousands of scientific papers, ingredient safety information, and supply chain data
Evaluation of ingredients based on the 12 green chemistry principles
Identification of suppliers that have passed a qualification process for "green ingredients"
Platform designed to harness insights from small datasets, requiring as few as 3 data points to start