WOOLF SOFTWARE

MODELS
FOR
PROTEOMICS

EST. 2024 / CUSTOM COMPUTATIONAL MODELS FOR BIO ENGINEERING
WORK WITH US

OFFERINGS V. 2.0

2026 CATALOG
001

Computational Modeling

Predictive models that simulate biological systems with precision — from molecular dynamics to whole-cell behavior.

  • + Machine learning pipelines for biological data
  • + Molecular dynamics simulation
  • + Whole-cell behavioral modeling
  • + Statistical analysis & hypothesis testing
002

Cell Design

Software tools for engineering cellular systems, enabling rational design of biological circuits and metabolic pathways.

  • + Biological circuit design
  • + Metabolic pathway optimization
  • + Synthetic biology tooling
  • + Cell function validation
003

DNA Engineering

Computational pipelines for sequence design, optimization, and analysis — accelerating genetic engineering workflows.

  • + Sequence design & optimization
  • + Genome-scale analysis
  • + CRISPR guide RNA design
  • + Variant effect prediction

PACKAGES

MODEL TRAINING

We train the model on your data

Bring us your data and a question worth answering. We build the pipeline, train the model, benchmark it, and hand you the weights

01

Single-Format Model

$30,000 fixed scope

One data modality — DNA, RNA-seq, single-cell, proteomics, or imaging. We turn it into a trained model that predicts what you actually need from it.

  • + One modality, scoped with you before we start
  • + Ingestion, QC, and cleaning pipeline built for your data
  • + Architecture selection and training on your dataset
  • + Held-out benchmark with honest performance numbers
  • + Trained weights and an inference pipeline you own
  • + Documentation and a working handoff, not a slide deck
Start single-format
02

Multimodal Model

$150,000 fixed scope

Two or more modalities fused into one model — sequence, expression, structure, imaging — so it learns the cross-modal signal no single format can show on its own.

  • + Multiple modalities fused into a single model
  • + Cross-modal representation, alignment, and feature engineering
  • + Everything in Single-Format, at multimodal scale
  • + Ablations showing what each modality actually contributes
  • + Validation against your real downstream task
  • + Production inference pipeline plus a retraining recipe
Start multimodal

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Let's discuss how computational models can accelerate your research.

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COMPUTATIONAL MODELS

BIO ENGINEERING

DNA DESIGN