Independent capabilities. One converging architecture.
Each module is independently functional today. Together, they form the computational scaffolding of the world's first whole-cell and microbial community digital twin — capable of simulating every cellular life event: mutation, engineering, energy flow, compartmentalization, and information transfer between molecules.
Enhanced Genome Annotation
State-of-the-art annotation pipelines that go beyond standard databases — resolving functional roles for genes left un-annotated by conventional tools. The foundation of every downstream module: a more complete genome means more predictive power at every subsequent step.
What it solves
Standard annotation tools (NCBI, UniProt pipelines) consistently leave 30–40% of genes without functional assignment. These gaps propagate errors into every downstream model — metabolic, regulatory, and structural.
What it delivers
Automated functional assignment combining homology, domain architecture, and synteny analysis. Outputs feed directly into protein design and metabolic modeling — closing the annotation gap before design begins.
Automated Protein Design
A multi-layered engine for designing proteins with specific catalytic, structural, or signaling properties — backed by proprietary databases of protein topology, motion, catalytic transition states, and catalytic arrays that no competitor can replicate.
Active Centre Design & Transition State Modeling
Predict and engineer enzyme active sites with atomic precision. Transition state modeling enables rational catalyst design without random mutagenesis — dramatically narrowing the search space for novel enzymatic functions.
Shape & Topology Design
Design protein backbone geometry for stability, binding affinity, and expression efficiency. Backed by a proprietary database of protein structures, topologies, and conformational states built from curated experimental and computational sources.
Allosteric & Mobility Design
Model and engineer long-range conformational changes — allosteric regulation, domain flexibility, and dynamic signaling pathways within proteins. Enables design of proteins that respond intelligently to cellular conditions.
Automated DNA Design & Metabolic Modeling
From production goal to testable genetic construct — automatically. Design DNA sequences, plasmid-ready constructs, and full metabolic models for any organism. Run flux balance analysis to predict yield, growth, and pathway performance before a single experiment.
Metabolic Modeling & Simulation
Whole-cell metabolic models auto-generated from genome data. Flux Balance Analysis predicts growth rate, production yield, and metabolic bottlenecks across strain variants, consortia, media conditions and time — before any wet-lab commitment.
Automated DNA Design
Define a target molecule or phenotype, and the system designs the optimal genetic construct — codon-optimized, promoter-assigned, and plasmid-formatted for direct synthesis and transformation. Already deployed in industrial and academic contexts.