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AXIOM BIO

Turning biology into quantifiable intelligence

We build cloud-based scientific software that automates complex laboratory analysis workflows — delivering reproducibility, traceability, and scale to research environments worldwide.

Cloud-native platforms
Research-grade reproducibility
Auditable and traceable
Built for laboratories

Automating scientific analysis for the modern laboratory

Axiom Bio is a scientific software company building cloud-based tools that transform manual, operator-dependent laboratory analysis workflows into automated, reproducible, and fully auditable processes. We specialise in quantitative bioimage analysis — developing validated platforms that deliver the same biological readouts researchers trust, with measurably higher throughput and zero operator variability. Our mission is to eliminate the gap between what laboratories measure and what they can reproduce. Every product we build is validated against established laboratory protocols and benchmarked against expert human analysis before deployment. We operate across Ireland and Spain, working directly with research laboratories to co-develop and validate our tools in real experimental environments.

Modern laboratory with advanced equipment and glowing screens
Multi-channel confocal microscopy analysis

Purpose-built tools for quantitative biology

Quantitative Bioimage Analysis

Automated measurement pipelines for specific biological assays, validated against manual expert protocols and designed for direct integration into research workflows.

Laboratory Workflow Automation

End-to-end automation of analysis processes that are currently manual, fragmented, and difficult to reproduce across operators, experiments, and laboratories.

Cloud-Native Scientific Infrastructure

Scalable processing architecture with structured data management, complete audit trails, and multi-tenant security — built for research-grade reproducibility.

AI-Enhanced Interpretation Layer

Language-model-powered experiment reporting, intelligent error triage, and natural-language data interaction — layered on top of a deterministic quantitative core.

SYN APSE

Automated quantitative analysis of immunological synapse polarity

SYN APSE is our first product — a cloud-based platform that replaces fragmented manual workflows built on Fiji/ImageJ with end-to-end automated cell segmentation, synapse identification, spatial bisection, and polarity quantification from confocal microscopy images. It delivers the same biological readouts that immunologists rely on — faster, with complete reproducibility, and with full analytical traceability.

Multi-channel confocal analysis algorithm output

Multi-channel confocal analysis output

80 cells
Cross-experiment validation benchmark
7.5×
Faster than manual analysis
0%
Intra-algorithm variability
Research Use Only
Automated segmentation Synapse detection Spatial bisection Polarity quantification Batch processing Complete audit trail
Learn more about SYN APSE →

What changes when analysis is automated

Reproducibility

Every measurement is identical every time. No operator variability, no training-dependent drift, no unreported methodological differences between analysts or laboratories.

Throughput

Workflows that take an experienced researcher minutes per sample complete in seconds — with unsupervised batch processing of entire experimental datasets.

Traceability

Every result carries full analytical provenance: algorithm version, processing parameters, and diagnostic data. Publication-ready and audit-ready from day one.

Built for research environments

Academic research laboratories

Automate complex imaging analysis workflows and ensure reproducibility across experiments, operators, and publications.

Research institutes and core facilities

Standardise quantitative imaging pipelines across multiple research groups, instruments, and experimental protocols.

Immuno-oncology and cell biology groups

Quantify cell interactions, spatial organisation, and functional phenotypes at scale for mechanistic and translational studies.

Cell therapy developers (CAR-T, NK)

Characterise effector cell function with validated, high-throughput imaging analysis during product development and quality assessment.

Contract research organisations

Deliver consistent, auditable imaging endpoints across multi-site studies with standardised, cloud-based analysis infrastructure.

Life sciences companies with imaging workflows

Replace fragile internal scripts and manual ImageJ-based processes with maintained, validated, cloud-native analysis platforms.

From one assay to a platform

The immunological synapse is our entry point, not our destination. The analytical framework behind SYN APSE — cell segmentation, spatial partitioning, polarity quantification, cell-cell interaction analysis — applies to a broad range of spatial cell biology questions.

Current

Immunological synapse polarity

Next

MTOC polarization · MVB redistribution · Colocalization

Horizon

Spatial cell biology · Multi-organelle phenotyping · Translational workflows

What makes this different

Assay-specific, not generic

Built for defined biological workflows, not as a general-purpose image tool.

Deterministic quantitative core

All measurements from auditable algorithms. No black-box AI in the analytical pipeline.

Cloud-native architecture

Scalable infrastructure with structured data, row-level security, and multi-tenant isolation.

Validated against experts

Benchmarked against manual analysis by trained immunologists in a formal R&R study.

Reproducibility by design

Same image, same result. Every time. Zero intra-algorithm variability.

Productised workflows

Not scripts. Not macros. A complete, maintained software product with versioned releases.

See what reproducible analysis looks like

Whether you're exploring a pilot project, evaluating the platform for your laboratory, or interested in a research collaboration — we'd welcome the conversation.

Get in touch

info@axiombio.tech