Platform
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Graph-Native Data Foundation

Graph-Native Data Foundation

Labbit connects every sample, material, instrument, result, and workflow step in one data model, so you can follow the relationships behind your work and see exactly how each record was produced.

THE PROBLEM

Lab work is connected. The record usually isn't.

A single sample touches reagent lots, instruments, locations, analysts, and SOP steps. In most labs that story is split across the LIMS, instrument software, spreadsheets, and paper. Each holds part of it, but the context of how the work was done, which step produced a result and under which version of the process, is often captured somewhere else or not at all.

That gap shows up when the questions get harder: an out-of-spec investigation that keeps widening, an auditor asking for a sample's complete history, a new assay that needs a new kind of entity. Teams end up chasing context instead of following it.

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CAPABILITIES

A connected model, built around how lab work happens

Follow the relationships

Samples, materials, instruments, results, and workflows share one connected model. Start from any record and follow its connections, including in directions the original question didn’t anticipate, as an investigation expands.

Provenance tied to the workflow

Labbit captures relationships as workflows execute. Each record links to the workflow step, user, and signature that produced it, and every change creates a new revision linked to the one before. Your data stays connected to how it was produced and how it changed.

Adapts as your lab evolves

The graph foundation lets you extend entity types and relationships as assays and processes change. New structure is configured, reviewed, and deployed through change control, so the model grows with your lab and your validated state stays documented.

Built on open standards

Labbit represents data and relationships in RDF and records provenance following the W3C PROV standard. These are established, open models for describing relationships and provenance, which supports interpretation, exchange, and reuse beyond Labbit.

HOW IT WORKS

How Labbit's data foundation works

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Captured during execution

When a workbook is committed, the entities involved and their relationships are recorded as new revisions, linked to the workflow task that produced them.

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Connected over time

Relationships accumulate across samples, lots, instruments, and sites, building a genealogy that grows with every run.

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Explored and reviewed

Search any record to see what it's connected to, then open its revision history to see who changed what, when, and why.

IN PRACTICE

See it in practice

DIAGNOSTIC TESTING

Spatial & Multi-Omics

Emerging assays with complex genealogy

DIAGNOSTIC TESTING

Histopathology

Block, slide and stain tracking end to end

GMP BIOMANUFACTURING

Cell Therapy Manufacturing

Vein-to-vein COI and batch execution

GMP BIOMANUFACTURING

Weigh & Dispense

Check-weigh dispensing with genealogy

FAQ

Frequently Asked Questions

What is a graph-native LIMS?

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A graph-native LIMS uses a connected data model in which samples, materials, instruments, results, and workflow steps are entities linked by relationships. In Labbit, those relationships are captured as work executes, so investigations, genealogy, and audit reviews can follow connections from record to record.

What kind of database does Labbit use?

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Labbit runs on an RDF graph database. Provenance follows the W3C PROV standard, so lineage is described with open, established models rather than a proprietary format.

Is a graph database better than a relational database for a LIMS?

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Both can model relationships, and both can support regulated work when they're designed well. Labbit's advantage comes from how its graph works together with its workflow engine and revision model: relationships and provenance are captured as part of executing the work, so the context is already there when you need it.

How does Labbit protect record history?

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Labbit is designed so records are never overwritten. Each change creates a new, complete revision linked to the one before it, attributed to the user who made it and time-stamped by the system.

Can the data model change as our assays change?

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Yes. Entity types and relationships are part of your Labbit configuration. Changes are reviewed and deployed as versioned changesets, and each deployment is recorded with who deployed it and what changed. Configuration and validation activities still apply, scoped to what changed.

Can we use our Labbit data in our own analytics tools?

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Yes. Data Export delivers files to cloud storage your organization manages, and Labbit's APIs provide programmatic access. See Analytics for details.

SEE IT ON YOUR DATA

Follow a sample end to end

Bring a sample history your team has had to piece together. We'll show you its

connections, revisions, and workflow context in Labbit.