The Future of Biology is a Digital Twin

Aiork transforms cell culture research with real-time AI-powered digital twins that respond to drug candidates, CRISPR edits, or physical stress in real time.

Powered by cutting-edge AI and trusted by researchers

Graph Neural Networks
Diffusion Models
Fluid Dynamics

The Research Bottleneck

Wet-lab biologists waste weeks waiting on cell-culture iterations. Current monitoring relies on manual observation and delayed analysis, creating massive bottlenecks in biological research.

Weeks of Waiting

Traditional cell culture experiments require weeks to complete, with researchers unable to adjust parameters in real-time.

Manual Observation

Researchers rely on periodic manual checks and static snapshots, missing critical dynamic changes in cell behavior.

Failed Experiments

Without real-time feedback, experiments often fail due to undetected contamination or suboptimal conditions.

Real-Time Biology, Powered by AI

Drop time-lapse microscopy clips into your browser and get a living digital twin that responds to experiments instantly.

1

Upload Data

Upload raw videos, single-cell RNA-seq, or proteomics data from your existing lab equipment.

2

Auto-Tune

Aiork fine-tunes its foundation model to your specific cell lines and experimental conditions.

3

"Poke" the Twin

Dose with compounds, knock out genes, or change environmental conditions in the digital twin.

4

Instant Results

Watch 3D cell morphology evolve second-by-second with quantitative metrics and predictions.

Powered by Cutting-Edge AI

Our platform combines three breakthrough AI technologies, optimized for Nvidia GPU infrastructure to deliver unprecedented biological simulation capabilities.

Graph Neural Networks

Model complex intracellular signaling pathways and protein interactions with state-of-the-art graph architectures.

Diffusion Models

Generate realistic voxel-level shape changes and cellular morphology evolution with advanced generative AI.

Fluid Dynamics

Simulate nutrient transport and waste removal through differentiable computational fluid dynamics.

Optimized for Nvidia GPU Infrastructure

Be Among the First

Join leading researchers who are already transforming their cell culture research. Request early access to experience the future of biological discovery and accelerate your research timeline from weeks to seconds.

Trusted by researchers at leading institutions

Biotech Companies Contract Research Organizations Academic Institutions
Request Early Access

No commitment required • Early access is free