Digiclean
Digiclean provides AI‑driven chemical dosing for factories, automatically adding only the exact amount of cleaning agents needed. By eliminating manual sampling, the system reduces chemical usage by up to 60%, cuts wastewater by 97%, and can extend bath change intervals from weeks to once a year, delivering significant cost and emissions savings.
- Artificial Intelligence
- Clean Technology
- Industrial Automation
- Manufacturing / Industry 4.0
Funding
Raised to date
€2.5MRaised 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.
Est. $2.7Macross 1 round
AIFVISSE€2.5M · Seed
Announced Jun 2026 · from article date
Disclosed cumulative: $2.7M
Founders
Founder details are not available yet.
Product
Problem
Manufacturing plants use large volumes of chemicals for cleaning and processing, leading to high material costs, significant waste, and elevated CO₂ emissions due to frequent dosing and bath changes.
Solution
Digiclean applies artificial‑intelligence driven dosing to chemical cleaning baths, adding only the exact amount of chemicals required for each cycle. By maintaining stable bath chemistry, the system extends bath life, reduces the frequency of fluid changes, and minimizes wastewater generation. The AI platform continuously monitors process parameters and adjusts dosing in real time, eliminating the need for manual sampling and analysis. This results in lower chemical consumption, up to 97 % reduction in wastewater, and associated energy and transport savings, while delivering consistent cleaning performance.
Target Audience
Primary customers are large‑scale manufacturers—such as automotive, aerospace, and heavy‑industry plants—that operate chemical cleaning processes and seek to lower material costs, waste, and environmental impact.
Features
- AI‑based real‑time dosing algorithm that calculates optimal chemical quantities per batch
- Automated monitoring of bath chemistry parameters to maintain stable cleaning conditions
- Elimination of manual sampling and laboratory analysis through sensor‑driven feedback
- Predictive maintenance alerts that schedule bath changes only when necessary (e.g., once per year versus every 2–4 weeks)
- Integrated reporting of chemical usage, waste reduction, and CO₂ emission savings