Pixels In.
Predictions Out.
Human iPSC-derived models + AI-driven phenomics — turning cellular images into actionable insight for drug discovery and safety assessment.
Trusted by leading biopharma partners for predictive biology and custom studies.
iPSC models
Cellular insights
High-content imaging
Disease modelling
Phenomics
COMING SOON
pixlOS — our operating system
for biological experimentation
Compass
Your guide through all pixlbio experimentation.
Cellbank
Quick access to your pixlbio inventory.
Alchemist
Your AI research assistant — queries and analyzes across the stack.
Lens
Interrogate your own pixlbio data as it's generated.
Tox Oracle
Predictive AI plus your pixlbio data, bridging preclinical to clinical.
About Platform
Combining human relevant data for safer, more accurate predictive insight
Clarity in every cell. Insight in every pixel. This is the full pipeline behind pixlOS — most partners start with just one step (see Products below) and add the rest when it's useful.
Step 1 — Model
iPSC-derived models — or a cell line you already work with — recapitulate physiologically relevant, donor- and disease-specific phenotypes in vitro.
Step 2 — Screening
High-content Cell Painting and automated imaging quantify thousands of morphological features across millions of cells, whatever the cell source.
Step 3 — Analyze
Tox Oracle, the predictive layer of pixlOS, converts these morphological profiles into quantitative signatures of disease phenotype, drug response, and toxicity.
Step 4 — Actionable Insights
Train predictive models on these molecular fingerprints to infer mechanism, optimize leads, and anticipate translational outcomes.
Automation at the Core
Clarity and consistency at scale
Automating data collection, analysis, and physical operations reduces time, human error, and increases the accuracy of every result.
Products
Four capabilities. One platform, tailored to your workflow.
iPSC-derived cell models, CRISPR-Cas9 genome engineering, and AI-driven, image-based phenomics are three separate capabilities that happen to work well together — not one bundled product. Order any of them on their own, today, with no dependency on pixlOS or on each other.
pixCells
pixCells — human iPSC-derived models
Human iPSC-derived hepatocytes, stellates, and organoids engineered for physiological relevance, scalability, and stability. Available as wild-type, custom, or CRISPR-edited disease models—ready for use in-house or as part of pixlbio’s full-service platform to generate predictive biological insights.
pixCellPaint
pixCellPaint — high-content phenomics
Cell painting workflows optimized for throughput and contrast, combined with automated microscopy to capture morphological fingerprints. Our pipeline standardizes staining, imaging, and pre-processing to produce high-quality inputs for AI analysis.
pixCellServices
pixCellServices — custom studies & analytics
End-to-end research services: study design, execution, AI analytics, and delivery of structured data and interpretation. From target validation to toxicology and mechanism-of-action studies — we run experiments, analyze phenotypic signatures, and provide actionable recommendations.
why partner with us
What's separate, and what comes together
Do I have to buy AI phenomics to order iPSC-derived cell models?
No — pixCells (our iPSC-derived hepatocytes, stellates, co-culture systems, and organoids) can be ordered as standalone products. pixCellPaint, our AI-powered phenomics platform, is available separately for customers who want high-content imaging and analysis layered on top.
Does pixCellPaint only work on pixlbio's own iPSC-derived cells?
No. While pixCellPaint is optimized for our pixCells product line, it can also be applied to primary and immortalized cells, as well as customer-supplied iPSC lines. Reach out to discuss compatibility with your specific cell model.
What is pixCRISPR?
pixCRISPR is our engineered disease modelling, using CRISPR editing to introduce disease-relevant genotypes for accurate, reproducible disease phenotypes.
Do I need pixlOS to order any of these products?
No — pixCells, pixCellPaint, and pixCellServices can all be ordered directly, without needing pixlOS. However, pixlOS gives you a live environment to view in silico predictions (via Tox Oracle) alongside wet-lab results in one place — so if you want to move from a risk flag straight into a mechanistic pixCells order and track results over time, access can be granted for that workflow.
why partner with us
Predictive insight, delivered as data you can act on
Human-relevant models
iPSC-derived cell modes that mirror human biology.
Scalable phenomics
High-throughput imaging and standardized cell painting.
Machine learning analytics
Plate-layout optimization to control batch effects, and models trained on quantitative phenotypic data.
Customizable studies
Tailored experiments and CRISPR-Cas9-engineered isogenic genotypes.
Actionable delivery
Dashboards, structured data packages, and consultative insights.
Trusted & Certified
Pixl Bio Ltd. has been assessed and approved to ISO 9001:2015 Quality Management System.
Proud member of the 3Rs Collaborative's Microphysiological Systems initiative.
Green Impact
Gold Award winnings organization.
Gold Award winnings organization.
Trusted by 11 of the Top 20 Global Pharmaceutical Companies.
Our pixCell portfolio seamlessly integrates into custom data generation projects—from functional assays (pixCellServices) to phenomic analysis (pixCellPaint)—delivering ready-to-use data at your fingertips.
“pixlbio’s unique combination of large scale automated Cell Painting capability, the high quality of the generated data, as well as their expertise in AI and predictive modelling, made them an obvious choice for AstraZeneca.”
“pixlbio, was selected for the Sanofi iDEA-TECH Awards Program to receive Sanofi’s support for its project due to their demonstrated ability to develop high-quality predictive models from their exceptional data. Within the funded project, the pixlbio team showcased profound expertise in Cell painting for morphological profiling, automation, AI and predictive modelling, which truly validates them as deserving awardees.”
“pixlbio’s cellular models have significantly improved our Go-No/Go translational decisions across multiple programs over the years at Deep Genomics. The hepatic cell systems are far superior and physiologically relevant compared to commonly used cell lines. More recently, we have begun testing disease variant carrying models, further improving translatability of our screening systems. Working with both the BD and technical support teams at pixlbio has been an excellent experience. Response times have been very fast and technical support and information provided has been above and beyond on a regular basis. We are looking forward to working on additional systems coming from the pixlbio team.”
