Algorithmic Translation
Your designs are programmatically translated into precise, deterministic liquid-handling scripts.
Automated Mammalian Protein Validation.
Bridging the gap between AI protein design and physiological reality. PhysioForge provides high-throughput, microbe-free Lab-as-a-Service (LaaS) for complex human therapeutics.
Partner With UsAI designs proteins in hours. Testing them takes months.
The Bottleneck: Current automated biofoundries rely on bacterial cell-free systems (E. coli or yeast). While fast, these systems fail to perform the complex post-translational modifications and folding required for mammalian biosensors, viral capsids, and immuno-therapeutics.
The PhysioForge Solution: We skip the microbial middleman. By automating advanced microbe-free assembly chemistry, we translate in silico designs directly into living mammalian cells (HEK293/CHO).
- True Physiology: Correct folding and signaling in native human cell environments.
- High Throughput: 384-variant optimization sprints driven by deterministic robotic liquid handling.
- Rapid Turnaround: Cutting mammalian validation from months to a two-week automated sprint.
Software-Driven. Hardware-Executed.
PhysioForge acts as the physical validation engine for computational biology. You provide the AI-generated .FASTA sequences; our automated pipeline handles the rest.
Microbe-Free Assembly
We utilize cutting-edge linear DNA chemistry to bypass traditional bacterial cloning bottlenecks entirely.
Data Delivery
Automated plate-reader parsing delivers clean, structured luminescence and expression data directly to your computational team.
Accelerating the Next Generation of Therapeutics
PhysioForge is currently in STTR Phase I development, partnering with leading academic researchers and biotech startups to scale our automated infrastructure.
We are actively seeking academic Principal Investigators (PIs) and computational biology teams with novel protein assets (cytokines, antibodies, biosensors) for federal grant collaborations (ARPA-H, NIH, NSF).
Location:
Partnering with the Johns Hopkins University ecosystem
FastForward 1812 Incubator | Baltimore, MD