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Protein-design programs powered by our platform, and the TechBio infrastructure that runs behind them.
Design services

Protein design, powered by Genesis + Refined

Proven design protocols, validated across our team's prior protein-design programs — now applied to your targets. We design, mature, and validate; we don't hand over a slide deck.

Enzyme design

Novel enzymes for new-to-nature chemistry, matured for the realities of manufacturing. Our first, mini-GAO, is in validation with partners.

Proven protocol · mini-GAO in validation
Binder design

High-affinity, high-specificity binders designed to your target, from de novo design protocols validated across our prior programs.

Proven protocol · Enzyvo results in development
Mini-protein design

Compact, hyperstable mini-proteins as scaffolds, binders, and biologic leads — built on the same validated design pipeline.

Proven protocol · Enzyvo results in development
Partner with us
TechBio infrastructure

The data backbone behind the platform

The machinery behind our platform, available to your lab — the digital backbone from wet lab to AI.

BioNLP & entity extraction

Turn unstructured biological text into structured, queryable facts — genes, proteins, assays, relations.

Knowledge-graph construction

Build and maintain domain knowledge graphs that connect entities across your literature and internal data.

Ontology design & mapping

Design ontologies and map messy vocabularies onto them, so data means the same thing everywhere.

Literature-discovery engines

Retrieval systems that let scientists navigate a field as a structured map rather than a keyword search.

MLOps, data lineage & reproducibility

Versioned runs, model registries, and full lineage — results you can audit and reproduce.

Wet-lab ↔ dry-lab integration

Connect experimental work to modern AI so the loop between bench and model is continuous.

Case study · RICHES

An epistemic literature-discovery engine

An epistemic literature-discovery engine we designed and delivered for a genomics partner — combining BioNLP, knowledge-graph construction, and ontology-driven retrieval to let scientists navigate the literature as a structured map rather than a keyword search.

We build this infrastructure to run our own enzyme-design platform — so it's production-grade, not a slide deck.

Have a data or knowledge-infrastructure problem?

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Enzyvo

Programming Proteins. Powering Industry. We engineer biology to sense and manufacture the molecules that matter.

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AriadneHephaestusGenesis
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