nfin
nfin provides a platform that bridges protein design and manufacturing by producing designed proteins at bioreactor scale and generating data to make manufacturability predictable. It offers tools for early-stage design screening in K. phaffii, rapid prototyping of sequences into usable protein samples under industrial conditions within weeks, and licensing of production know-how for scalable candidates.
- Biotechnology
- Manufacturing / Industry 4.0
- Data & Analytics
Funding
Founders
Founder details are not available yet.
Product
Problem
Designed proteins are faster to generate than they are to make. The systems currently used to manufacture proteins constrain what can be imagined and designed, and the bottleneck is no longer design—it is manufacturing.
Solution
nfin is building a platform that closes the gap between sequence and scale. It makes designed proteins at bioreactor scale, generates data that makes manufacturability predictable, and licenses the know-how to produce the winners. The platform supports the full arc of a designed protein: design, prototype, and scale. In the design phase, nsure enables rapid, reliable protein expression in a customer's own lab, taking a sequence to an expressing strain in as little as a week. For prototyping, nfin returns a usable protein sample made under industrially representative conditions in weeks. For scale, nfin licenses the platform and production know-how to operators producing designed proteins at industrial scale.
Target Audience
Primary customers are protein engineers and design-build-test teams in cosmetics, food, and advanced materials, as well as producers of designed proteins seeking scalable manufacturing know-how.
Features
- nsure platform: proprietary strain construction and transformation technology enabling sequence-to-expressing-strain in as little as a week, with library construction and screening in K. phaffii for the first time, supporting hundreds to thousands of sequences per run
- Rapid prototyping service: fed-batch fermentation in K. phaffii under industrially representative conditions, returning a usable protein sample in weeks, with per-protein and multi-iteration with reserved capacity options
- Licensing: strain construction, fermentation process, and data infrastructure for manufacturability prediction at scale
- Bioreactor-first approach: every sample is produced under industrially representative conditions, generating manufacturability data, not just protein
- Data-driven: generates manufacturability data that predicts how a protein will behave at production scale