Elio provides an AI-powered software solution designed to facilitate eco-design data flows specifically for the pharmaceutical industry. The platform enables companies to begin making sustainability decisions immediately without requiring pre-existing clean data or notebooks. By focusing on industry collaboration, Elio accelerates the integration of environmental considerations into pharmaceutical development processes.
Funding
$2M raised to dateRaised 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.
Founders
Product
Problem
Pharmaceutical companies face increasing pressure to reduce the environmental impact of drug manufacturing processes, but lack comprehensive tools to assess and optimize sustainability across R&D, process engineering, and product design. Existing methods often rely on incomplete data and time-consuming manual analysis, hindering effective decision-making and delaying decarbonization efforts.
Solution
Elio provides an AI-powered eco-design co-pilot that enables pharmaceutical companies to integrate sustainability considerations into their core workflows. The platform leverages life cycle assessment (LCA) data and material composition predictions to quantify the environmental impact of different design choices, from raw materials to transportation and production energy. By providing systems-level understanding and iterative decision support, Elio helps R&D scientists, process engineers, and product managers identify opportunities to minimize waste, reduce emissions, and achieve eco-design goals. The platform facilitates data-driven collaboration across the value chain, empowering companies to make informed decisions and accelerate their transition to more sustainable manufacturing practices.
Target Audience
Elio targets R&D scientists, process engineers, and product managers within pharmaceutical companies who are responsible for making design and manufacturing decisions that impact sustainability.
Features
- AI-powered analysis of bill of materials to determine environmental impact weightings
- Integration of LCA data for materials and material composition prediction based on product data
- Calculation of transportation impact weightings, considering manufacturing location and delivery destination
- Assessment of production energy impact based on emissions intensity
- Identification of opportunities to reduce plastic usage in product packaging