Carbon

    Platform

    Data Layer

    Versioned · Governed · Queryable

    Versioned, governed research data. From instrument readouts to analysis-ready datasets in one pipeline, query, version, and share without copy/paste labs.

    A result is only as trustworthy as your ability to say where it came from. Carbon's data layer captures every readout as a versioned dataset that remembers the instrument, run, and configuration that produced it, so reproducing a measurement is a query, not an archaeology project.

    Carbon DB

    Design your data model. No SQL required.

    Every team gets a managed Postgres, locked down and easy to use. Lay out tables and relationships visually, and store things plain Postgres can't, like images, files, and waveforms, as first-class types. Drag the tables around.

    Loading schema…

    Unified observability

    Everything your lab produces, in one place.

    Instrument streams, camera feeds, logs, and files all land in Carbon DB as it happens. Analytics flow back out to your dashboards, your researchers, and the agent working alongside them, so the whole lab reads from one source of truth.

    Loading…

    One pipeline from readout to result.

    Instrument output lands as versioned datasets, immediately queryable from analysis and dashboards.

    Lineage you can audit.

    Every dataset knows which instrument, run, and configuration produced it.

    Share without copies.

    Grant access instead of emailing files, one source of truth across the team.

    INSTRUMENTCONFIG · #A3F2ACL + AUDITDATASETRUN 0142 · V4LINEAGE INTACTPYTHONDASHBOARDEXPORT / APIPRODUCED BYEVERY VERSION KNOWS ITS INSTRUMENT, RUN, AND CONFIGURATIONQUERY, NOT FOLDER ARCHAEOLOGY

    How it works

    01

    Capture

    Every readout lands as a versioned dataset, tagged with the instrument, run, and configuration behind it.

    02

    Query

    Find data by lineage, not folder archaeology. Analysis and dashboards read the same source of truth.

    03

    Govern

    Grant access instead of emailing files. Every read and write is recorded against a name.

    See data layer on your own bench.