Bio AI
Biology Meets AI for Smarter Research, Design and Production
Bio AI is transforming how companies design molecules and genetic sequences, interpret complex data and scale data-driven production. Together we develop high-value AI use cases, select suitable models and turn promising ideas into operational workflows.
Where AI Creates Value
Bio AI is most valuable when it is connected to a clear scientific or operational goal. EVOBYTE helps
companies identify use cases where AI can reduce iteration cycles, improve decision-making or optimize processes.
Faster Candidate Exploration
Generate and prioritize larger design spaces before experimental testing.
Improved R&D Focus
Use AI to rank hypotheses, screen targets and focus laboratory resources on the most promising candidates.
More Reproducible Workflows
Turn exploratory notebooks and manual analyses into documented, maintainable AI pipelines.
Integration into Existing Infrastructure
Connect models with databases, cloud environments, dashboards, APIs and internal tools.
Process Parameter Optimization
Use AI to create digital twins for production and manufacturing, generating ROI through AI optimized processes
From first AI Use Cases Towards Working Solutions
Our structured methodology ensures that AI integration is not just a pilot, but a core driver of your scientific success.
01
Consultation
Deep-dive into your biological
data landscape and identify
high-impact AI opportunities.
02
Workflow Design
Designing the solution
blueprint. We map algorithms
to your specific use case.
03
Prototype
Building and training the
model. Rapid prototyping with
real-world scientific datasets.
04
Scale
Full-scale deployment into
your production or research
environment with MLOps.
Scientific Use Cases
Deep-dive into specialized biological domains where our AI-driven approach delivers
measurable research outcomes.
Protein and Molecular Design
APPLICATIONS
De novo protein design, antibody engineering and ligand binding optimization for therapeutic discovery and biotechnology.
CORE MODELS
Alphafold / OpenFold, ProteinMPNN, RFdiffusion combined with physics engines like Gromacs
VALUE
Reduction in experimental screening cycles, exploration of new designs and better priorization
Sequence and Vector Optimization
APPLICATIONS
Codon optimization, promotor design and vector sequence generation for higher yield and specific expression
CORE MODELS
Deep leaning and transformer-based models like Evo2 or AlphaGenome for sequence and regulatory predictions
VALUE
Optimal production yields, performant vectors and specific expression in target systems
AI for Single-Cell Research
APPLICATIONS
Cell type annotation, multi-omic data integration, biomarker and target identification.
CORE MODELS
Foundation models (scGPT, scContrast), Autoencoders,
AI-Agents for automated analysis
VALUE
Automated analysis and precise identification of cell populations and biomarkers
Ready to Accelerate Your AI Journey?
We are looking forward to supporting your use case
