Nuclera

Nuclera

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Private Company

Total funding raised: $47.3M

Overview

Nuclera has developed the eProtein Discovery™ system, a benchtop platform that integrates digital microfluidics, cell-free protein synthesis, and data analytics to revolutionize protein production. The system enables automated, parallel screening of protein constructs and conditions, delivering decision-grade data in 24 hours and assay-ready proteins in 48 hours. This approach aims to eliminate the traditional trial-and-error cycles in protein expression, significantly accelerating research in drug discovery and synthetic biology. The company is privately held and targets academic, biotech, and pharma researchers.

Synthetic BiologyDrug Discovery

Technology Platform

eProtein Discovery™ system combining digital microfluidics, cell-free protein synthesis, and data analytics for automated, multiplex protein screening and production.

Funding History

2
Total raised:$47.3M
Series A$42M
Seed$5.3M

Opportunities

The growing demand for rapid protein prototyping in drug discovery and synthetic biology, particularly for high-value but difficult-to-express targets like membrane proteins (GPCRs), presents a significant market opportunity.
The shift towards decentralized, in-house research capabilities and the compatibility of its data-rich platform with AI-driven protein design tools like AlphaFold offer additional growth vectors.

Risk Factors

Key risks include slower-than-expected adoption by researchers accustomed to traditional methods, competition from large life science tool providers and other startups, and execution challenges in manufacturing and scaling the supply of complex microfluidic cartridges.
The business model also faces the hurdle of requiring significant upfront capital investment from customers.

Competitive Landscape

Nuclera competes with traditional contract research organizations (CROs) offering protein expression services and with in-house manual or semi-automated high-throughput methods in large pharma. Direct competitors may include other startups developing automated protein production platforms, while indirect competition comes from established life science tool giants (e.g., Thermo Fisher, Cytiva) that provide the reagents and equipment for conventional workflows.