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Traceable claims. Reproducible figures. Auditable experiments.

Evidence-first AI infrastructure for life sciences. Claude composes 28 Domain Operating Systems, 185+ specialized agents, and a hash-verified MCP data layer — with human gates at every critical decision.

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Built for life sciences research

Academic labs
Biotech
Pharma & industry
Government
Clinical genomics
Core facilities
Research hospitals
Contract research

The system

One orchestrator. Every life-science domain.

Claude composes specialized reasoning plugins with a biomedical knowledge graph, a claim extraction layer, and a hash-verified MCP data plane — all human-gated at every critical decision.

28

Domain Operating Systems

genomics · omics · clinical · drug discovery

185+

Specialized agents

orchestrated by Claude

1,062+

Typed skills

executable contracts with provenance

10

MCP data servers

zero context cost until queried

Counts as of Q2 2026 · registry at github.com/Hordago-Labs

The approach

The compiler for biology.

Claude orchestrates the run — reading intent, proposing specs, composing specialized agents, drafting prose. The Evidence Guardian verifies every output against source artifacts, with human gates on every critical decision. The result is a reproducible manifest you can audit end-to-end.

A bench protocol that always runs the same way — your data in, validated figures out.

Input

Data + specs

CSV · FASTQ · VCF · YAML

Orchestrate

Claude + agents

intent · spec · review

Verify

Evidence Guardian

grounding · provenance · HITL

Output

Reproducible artifacts

figures · stats · manifest

Built for trust

Human governance by default.

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

Human approval gates

AI proposes. Scientists decide. Critical decisions route through explicit sign-off.

Full provenance

Inputs, commits, tool versions, environment, SHA-256 hashes — everything recorded in a reproducible manifest.

Grounded claims

Outputs are compiled from artifacts. Every sentence references a concrete figure, statistic, or citation.

See it in action

Real output. Not a mockup.

Every CRISPRos run produces traceable artifacts with full provenance. Here's what a guide design workflow actually looks like.

CRISPRos — Guide Design Output Live Demo 
$ hordago design-guides --gene BRCA1 --modality knockout --species human

┌─────────────────────────────────────────────────────────────┐
│  CRISPRos v0.8.2  ·  Guide Design Pipeline                 │
└─────────────────────────────────────────────────────────────┘

✓ Genome loaded: GRCh38 (hg38)
✓ Gene: BRCA1 — chr17:43,044,295-43,125,364
✓ Exons scanned: 23 coding exons

── Guide Candidates ──────────────────────────────────────────

  Guide 1:  ATCGATCGATCGATCGATCGTGG   Efficiency: 0.89
  Guide 2:  GCTAGCTAGCTAGCTAGCTAAGG   Efficiency: 0.84
  Guide 3:  TTAACCGGTTAACCGGTTAACGG   Efficiency: 0.81
  Guide 4:  CCGGAATTCCGGAATTCCGGGGG   Efficiency: 0.77

── Off-Target Analysis ───────────────────────────────────────

✓ 0 off-target hits in coding regions
✓ 2 intronic near-misses (3+ mismatches) — flagged, not blocking

── Provenance ────────────────────────────────────────────────

✓ manifest.json written  (sha256:a3f8c2...)
✓ Git commit: e4b7d1f
✓ All inputs + outputs hashed and recorded

→ Output: guides/BRCA1_knockout.json
→ Status: VALIDATED — ready for human approval

Claude orchestrates

Delegate the workflow. Keep command.

Claude reads a plain-language request, dispatches the right reasoning plugins, composes specialized agents, and routes data through the MCP layer — with human gates at every critical decision. You keep the final call on hypothesis, design, execution, and publish.

Illustrative simulation · Hordago recording in post-eval · watch the real Claude Cowork substrate ↗

The request loop

Four stages from plain-language intent to a reproducible artifact — each gated by evidence contracts, adversarial review, and human approval.

Built on the Claude Code and Agent SDK foundation. Runs against Sonnet 4.6 and Opus 4.6 with extended thinking, structured output, and parallel tool use.

  1. 01

    Intent classification

    Claude reads a plain-language request and routes it across the 13 Hordago task categories with a confidence score.

  2. 02

    Plugin dispatch

    An EngineRouting contract selects the right mix of co-writer, co-scientist, sophia, paper-intelligence, and knowledge-graph plugins for the job.

  3. 03

    Parallel agent execution

    Specialized agents run in parallel — each with its own skill set, evidence contract, and HITL checkpoint.

  4. 04

    Evidence Guardian review

    A grounding + provenance + contradiction sweep before results leave the orchestrator. Swiss Cheese adversarial review follows — Opus plus Sonnet.

See the full 4-tier architecture Book a demo to see it live

Domain Operating Systems

28 products. One stack.

Purpose-built operating systems for every life-science domain. Each packages its field's workflows, evidence gates, and provenance requirements, and composes the reasoning plugins that fit those motions.

Genomics & Variants

8 products

  • BIOos

    Beta

    Alignment, QC, RNA-seq

  • GWASos

    Beta

    Association, fine-mapping

  • varfx-os

    Beta

    Variant annotation

  • finemap-os

    Beta

    Statistical fine-mapping

  • prs-os

    Beta

    Polygenic risk scores

  • mendel-os

    Beta

    Mendelian genetics

  • clinvar-os

    Beta

    ClinVar interpretation

  • longread-os

    Beta

    ONT, PacBio

Cell & Molecular

4 products

Omics

5 products

  • onco-os

    Beta

    Somatic, neoantigen

  • microbiome-os

    Beta

    16S, metagenomics

  • proteomics-os

    Beta

    Mass spec

  • metab-os

    Beta

    Metabolomics

  • immuno-os

    Beta

    Immune repertoire

Imaging & Structure

2 products

  • struct-os

    Beta

    AlphaFold, docking

  • bioimage-os

    Beta

    Microscopy

Clinical & Regulatory

3 products

  • rare-os

    Beta

    Rare disease, ACMG

  • clinical-os

    Beta

    EHR, PyHealth

  • reg-os

    Beta

    ISO 13485, FDA QMSR

Drug Discovery

3 products

  • chem-os

    Beta

    Cheminformatics

  • admet-os

    Beta

    ADMET prediction

  • virtual-screen-os

    Beta

    Virtual screening

Systems & Networks

3 products

  • systems-os

    Beta

    Systems biology

  • pathway-os

    Beta

    Pathway analysis

  • grn-os

    Beta

    Gene regulatory networks

Explore the architecture Request a domain

28 Domain Operating Systems

BIOos GWASos varfx-os finemap-os prs-os mendel-os clinvar-os longread-os CRISPRos screen-os cell-os spatial-os onco-os microbiome-os proteomics-os metab-os immuno-os struct-os bioimage-os rare-os clinical-os reg-os chem-os admet-os virtual-screen-os systems-os pathway-os grn-os BIOos GWASos varfx-os finemap-os prs-os mendel-os clinvar-os longread-os CRISPRos screen-os cell-os spatial-os onco-os microbiome-os proteomics-os metab-os immuno-os struct-os bioimage-os rare-os clinical-os reg-os chem-os admet-os virtual-screen-os systems-os pathway-os grn-os

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Bring evidence-first AI to your lab.

Hordago Labs works with research labs, biotechs, government programs, and life-science industry teams. Claude orchestrates the specialized agents behind every workflow, with human gates on every critical decision and a full provenance manifest on every output.

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