How to bid on a Technology Licensing Opportunity: Aminebind ML from the Department of Energy

What the agency is buying and why a vendor would care

The Department of Energy, through Los Alamos National Laboratory, is offering licensing opportunities for AmineBind ML. This is a Python-based software toolkit and machine-learning model designed to predict CO2 binding energies for amine-based carbon-capture materials. It allows for rapid screening of millions of chemical structures, much faster than traditional methods.

This technology is valuable for organizations involved in direct-air-capture, specialty chemicals, computational chemistry, and environmental applications. It helps in designing sorbents for CO2 removal, optimizing material choices, and reducing trial-and-error in lab campaigns. This is a chance to license an existing, patented technology, not a request for development services.

Key dates and what happens at the deadline

This licensing opportunity was published on September 01, 2026. The deadline for expressing interest is March 01, 2027, at 7:00 PM ET. At the deadline, the agency will likely stop accepting new inquiries or proposals for licensing this specific technology. It is important to submit any licensing proposals or inquiries before this time.

Who this opportunity suits

This opportunity is suitable for firms in the professional category, particularly those focused on technology licensing, materials science, chemical engineering, and environmental technology. Companies involved in developing carbon capture solutions, specialty chemicals, or computational chemistry software would find this relevant. It is ideal for businesses looking to integrate a proven, early-stage (TRL 3) technology into their product offerings or research and development efforts.

How to respond

To access the opportunity details, click “View original source” on the portal. If the first click leads to the portal’s homepage, click it again to go directly to the bid. You may need to create a free account to view all documents, though this is not always required for every bid. For specific discussions about licensing, you should contact [email protected].

Practical tips for preparing a competitive response

When preparing your response for a technology licensing opportunity, clearly articulate your company's business model and how AmineBind ML fits into your existing or planned product lines. Highlight your market reach and your ability to commercialize the technology effectively. Provide a clear vision for how you intend to utilize the software and its potential impact on your target markets.

Emphasize your technical capabilities and any relevant experience in the fields of carbon capture, computational chemistry, or materials science. If you have a strong research and development team or a history of successful product commercialization in related areas, make sure to detail these strengths. A well-structured proposal that demonstrates a clear path to market will be more competitive.