AI × BIOPROCESS

A world model for biomanufacturing

Grounded in the physics and biology of cell culture. Simulate how a process will behave before you run it, from the first experiment to the commercial plant. Fewer experiments in the lab. Fewer surprises in production.

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Ark bioprocess simulation platform demo

R&D

Most development discovers by running experiments. Ark simulates first and only experiments where the model’s knowledge runs out. Each run updates it. You reach IND faster, with a process robust enough to hold at commercial scale.

Manufacturing

Ark runs a live digital twin of your facility, continuously simulating how every batch should behave. An army of agents monitors your plant around the clock: catching deviations at the first signal, recommending mitigations, and surfacing opportunities to improve yield and uptime. Your team makes the call.

How Ark drives results

43% above the program’s best-ever titer, first run

Real-time optimization surfaced feed strategy adjustments mid-run as the process crossed into uncharted territory. The result: a new record.

Case Study

40% fewer experiments in process development

A development program used model-based DoE to reduce experimentation by 40%. Each run was designed to maximize learning or provide experimental validation for regulators.

110% higher yield than statistical DoE

Model-based DoE plus in silico optimization more than doubled yield, and matched the statistical best in one-third fewer experiments.

Best titer ever for a blockbuster drug

Post-licence optimization with ambr250 scale-down modeling let the team test new strategies safely at bench scale.

Digital Twin on a high-variability commercial process

A commercial process with high run-to-run variability runs Ark’s Digital Twin to reduce manufacturing variability.

Scale-up predicted before the first commercial batch

A development team used Ambr 250 data to quantify process performance at 15,000 L and determine the control strategy needed to match it. Tech transfer first-time-right.

Trusted by Scientists

AI × Bioprocess

Bioprocess is too complex and too data-scarce for AI to learn from examples alone. The only path to a model that generalizes is to start from what science already knows: the physics. Ark’s world model encodes the multiphysics of bioprocess—mass transfer, cell growth kinetics, chemical reactions—and uses your process data to close the gaps where physics runs out.

Physics handles what can be computed from first principles. Data sharpens the model where it can’t. The result works across scales and cell lines, can simulate what hasn’t been run yet, and gets more accurate with every batch.

Built for regulated environments and sensitive data

Audit trail, built in

Every recommendation and decision is logged, consistent with 21 CFR Part 11 and EU Annex 11.

Your data stays yours

Hosted in a single-tenant environment and never used to train models across companies.

SOC 2 Type II certified

Independently audited security controls, monitored continuously.

Encrypted and access-controlled

AES-256 at rest, TLS in transit, with strict usage and permission controls.

Put the world model to work

on your process