Axiom | VibeScience® Request invitation

Axiom / The Research Operating System

Vibe coding changed how developers build software. Axiom will do the same for research.

Code with AI that knows your experiment. Dispatch agents that search the literature for you. Watch a knowledge graph grow with every dataset, result, and paper — automatically.

You bring the hypothesis. Axiom brings everything else.

Request an invitation Explore the system
AXIOM / RESEARCH OS APPLICATION VIEW
Axiom Research Operating System running on a MacBook Pro
01 / VIBESCIENCE

Work at the speed of thought. Keep the rigor of science.

VibeScience is a new mode of research: express the scientific intent, let an AI-native environment coordinate the tools and evidence, and remain in control of every decision.

It does not trade rigor for speed. Axiom removes the fragmentation around the science so every analysis enriches the graph, every graph connection improves the AI, and every agent result returns as structured evidence.

FRAGMENTED RESEARCHFiles, tabs, memoryContext disappears between tools.
VIBESCIENCEOne living research systemContext compounds with every experiment.
02 / THE SYSTEM

Three pillars. One compounding advantage.

Each layer is useful on its own. Together, they create an operating system that understands how your science evolves.

WHERE YOU WORK

A science-first editor with experiment context built in.

Python, R, Julia, Jupyter, LaTeX, protocols, and figures live in one familiar environment—built on the open-source core of VS Code.

  • Axiom Tab completes methods as naturally as code
  • Ask Axiom sees files, errors, and experiment history
  • Statistical guardrails surface issues before execution
analysis.pyEXP-024 · RNA-seq
# Normalize counts and test differential expression
dds = DESeqDataSet(counts, design="~ condition")
dds.fit_dispersion(prior="apeglm")
STATISTICAL GUARD

n=4 per group. Power is estimated at 0.31 for the detected effect size.

03 / THE WORKFLOW

From hypothesis to evidence, without losing the thread.

  1. 01
    DEFINE

    State the hypothesis

    A falsifiable claim becomes the root of the research graph.

  2. 02
    WORK

    Analyze in context

    Code, notebooks, protocols, and data remain linked as you work.

  3. 03
    DISPATCH

    Send the agents

    Literature, statistics, and replication checks run in parallel.

  4. 04
    CAPTURE

    Snapshot the evidence

    Code, data hashes, environment, protocol, and graph state freeze atomically.

04 / REPRODUCIBILITY

One command. A complete scientific record.

An Experiment Snapshot captures the exact state needed to reproduce an analysis—without asking scientists to become infrastructure engineers.

Reproducibility score94/100
AXIOM SNAPSHOTAXM-EXP-024-7F2A
  • ✓Codegit: 7f2a9c1
  • ✓Datasha256: 48b2…e90f
  • ✓Environmentconda: rnaseq-v4
  • ✓ProtocolDESEQ2 / v2.4
  • ✓Graph state24 nodes / 37 edges
Snapshot verified and signed
05 / AGENT NETWORK

A specialist for every part of the research cycle.

Agents collaborate with the same experiment context and write their findings back into a shared evidence layer.

01 / DISCOVER

Literature Agent

Searches PubMed, bioRxiv, and citation networks; returns ranked evidence with relevance notes.

READING LIST · SYNTHESIS · CITATIONS
02 / VALIDATE

Statistics Agent

Checks test choice, assumptions, sample size, power, multiple testing, and reporting completeness.

ASSUMPTIONS · POWER · CORRECTIONS
03 / VERIFY

Replication Agent

Finds supporting and conflicting studies, retractions, corrections, and independent replications.

CONFIDENCE · CONFLICTS · ALERTS
04 / COMPARE

Methods Agent

Compares published alternatives against your protocol and experimental constraints.

METHODS · TRADEOFFS · PROTOCOLS
05 / SOURCE

Dataset Agent

Finds compatible public datasets, evaluates quality, and prepares them for one-click import.

GEO · SRA · ZENODO · FIGSHARE
06 / COMMUNICATE

Writing Agent

Drafts methods, abstracts, and discussions from the graph—with linked evidence and citations.

METHODS · ABSTRACT · DISCUSSION
06 / ARCHITECTURE

Built for real science. Designed for trust.

Axiom is based on the open-source VS Code core, with science-specific capabilities isolated from the editor foundation. Research data can remain local, inside a customer VPC, or on-premises.

Discuss an institutional deployment
INTERFACEEditor · Notebooks · Protocols · FiguresThe daily research environment.
INTELLIGENCEAxiom Tab · Ask Axiom · Agent NetworkContext-aware assistance and autonomous work.
MEMORYExperiment Graph · Vector Search · Audit LogPersistent, queryable research context.
RESIDENCYLocal · Cloud · Single-tenant · Air-gappedDeployment matched to the sensitivity of the science.

Axiom / Invitation-only beta

You bring the hypothesis.
Axiom brings everything else.

Start with the editor. Build the graph. Put a network of research agents to work.

Request an invitation Contact the team