ALL IN ON AI FOR BIOLOGY

Every claim traceable. Every figure reproducible. Every experiment auditable.

Evidence-first AI infrastructure for life sciences. Scientists stay in command.

THE APPROACH

The compiler for biology.

Most AI tools generate plausible-sounding science with no audit trail. Hordago compiles reproducible artifacts from your data and specs — figures, statistics, provenance manifests — without LLM involvement in the deterministic core.

INPUT

Data + Specs

CSV · FASTQ · YAML

COMPILE

Deterministic Pipeline

No LLM in the loop

OUTPUT

Reproducible Artifacts

Figures · Stats · Manifest

BUILT FOR TRUST

Human governance by default.

Agentic AI is powerful — but science demands accountability. Every Hordago product enforces human oversight at decision points.

🛡️

Human Approval Gates

AI proposes, scientists decide. Every critical action — guide selection, protocol changes, result interpretation — requires explicit human approval.

🔗

Full Provenance

Every output includes a manifest: inputs, git commits, tool versions, environment, SHA-256 hashes. Reproduce any result from the manifest alone.

Grounded Claims

Every sentence references a concrete artifact — a figure panel, a statistic, a citation. No hallucinated claims. No unverifiable assertions.

Powered by Claude · Supported by Anthropic Life Sciences

POWERED BY

Shared scientific engines

DomainOS products are thin shells built on reusable scientific engines.

paper-intelligence

Literature Analysis Engine

Structured citation graphs and literature triage.

co-scientist

Scientific Reasoning Engine

Hypothesis generation with mandatory falsification plans. Evidence-locked reasoning, not hallucination.

co-writer

Manuscript Drafting Engine

Grounded manuscript drafting from artifacts.

Knowledge Graph

Scientific Knowledge Graph

Connected knowledge across papers, experiments, and datasets.

THE ARCHITECTURE

Three layers. One platform.

Hordago separates product shells, scientific engines, and execution infrastructure. New domain products ship without rebuilding the stack.

Platform Architecture

Built in Layers

Domain Operating Systems

CRISPRos CRISPR Operating System
GWASos GWAS Operating System

Shared Scientific Engines

biocontext7 Tool discovery
paper-intelligence Literature engine
co-scientist Hypothesis engine
co-writer Evidence-locked writing
Knowledge Graph Entity + provenance

Factory & Execution

life-sciences-factory Scientific compiler
specforge Spec generation
velocity Batch execution

INFRASTRUCTURE

How we build scientific products

Scientific Compiler

Deterministic Build System

Spec Engine

Work Decomposition

Agentic Orchestration

Parallel Execution

GitHub Stars

4,800+

Executable Scripts

1,100+

Tests

346+

Skills across 32 Plugins

44+

Formal Agents

Stats updated quarterly · Last updated Q1 2026

Integrated with the tools you use

CRISPR-Cas9 AlphaFold DESeq2 STAR Seurat Bowtie2 GATK CellRanger Scanpy BWA IGV MACS2 Salmon featureCounts edgeR biocontext7 Claude Benchling IDT Twist CRISPR-Cas9 AlphaFold DESeq2 STAR Seurat Bowtie2 GATK CellRanger Scanpy BWA IGV MACS2 Salmon featureCounts edgeR biocontext7 Claude Benchling IDT Twist

Ready to make your science reproducible?

We're working with early partners in CRISPR and rare disease research.

Get in Touch
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