Platform

Clarity in Every Cell, Insight in Every Pixel

Where human-relevant models meet AI-driven phenomics to decode disease, accelerate discovery, and predict drug response — at scale.
Trusted by leading biopharma partners for predictive biology and custom studies.
AI-Driven
Accelerated Discovery
Compound Screening
De-Risking
Early Prediction
Human-Relevant Data
Discover Platform

Every cell tells a story. Every pixel holds a clue. But most platforms only see the surface. pixlbio combines high-fidelity human cell models with next-generation computational phenomics.

We capture billions of cell–pixel relationships, revealing subtle changes in cell state, mechanism of action, and therapeutic impact that others miss.
Our platform transforms cellular whispers into actionable intelligence. Disease mechanisms hiding in plain sight. Drug responses waiting to be unlocked. Target validation that actually validates.Whether you're screening compounds, mapping disease biology, or predicting clinical outcomes — we deliver the clarity you need. Faster, deeper, and more predictive than ever.
Problems We Solve

Discovery Dilemma: Reactive Guesswork or Predictive Intelligence?

For decades, drug discovery has been a high-stakes gamble. It’s time to change the game. Choose between the outdated, costly cycle of reaction and the new era of data-driven prediction.
Biological Relevance
Data Insight Depth
Timeline Impact
Cost Efficiency
Mechanistic Understanding
Scalability
Customization
The Old Way is Broken
Animal models, poor translation
Single-point readouts, basic understanding
Late failure, years wasted
Failed candidates affect budgets
Black box phenotypic shifts
Manual, low throughput
Standardized models
The pixlbio Way is Built to Predict
Human iPSC models, clinical relevance
AI phenomics, deep mechanism
Early insights, rapid iteration
Early de-risking and triaging with high-throughput
Clear phenotypic fingerprints
Automated, high-throughput
Tailored disease models
Biology, Captured
High-Content Imaging Across Diverse Cellular Systems
Every discovery starts with the cell. Our platform supports a wide range of biologically relevant models—from iPSC-derived (pixCells) and primary cells to engineered cell lines. Automated, high-content imaging captures thousands of morphological and functional features per cell, revealing complex biological responses across healthy, diseased, or custom contexts. This deep cellular profiling forms the foundation for true human-relevant insight.
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AI-Powered
Precision
Phenomics
End-to-End
End-to-End
Biology, Translated
Turning Cellular Complexity into Quantifiable Data
Advanced computer vision and AI algorithms transform rich cellular imagery into structured phenotypic fingerprints. Each dataset becomes a digital reflection of biological behavior—measurable, comparable, and interpretable. By converting complex cell biology into precise data representations, we enable a scalable and unbiased understanding of how molecules modulate living systems.
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Intelligence, Amplified
Predictive AI Models Informed by Health and Disease
Our deep learning models integrate phenotypic, molecular, and contextual metadata to predict efficacy, safety, and mechanism of action across diverse biological backgrounds. Trained on data spanning healthy and pathological states, the models detect subtle, non-linear relationships between compound structure and cellular outcome. This predictive layer empowers researchers to anticipate responses and de-risk decisions long before in vivo or clinical stages.
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Data Stream
Algorithm
Imaging
Automation
Analysis
Insight, Delivered
Decision-Ready Outputs via SaaS Platform
The result is clarity from complexity. Our SaaS platform consolidates imaging and AI outputs into intuitive visualizations and reports tailored to your biology. Actionable insights flow seamlessly into your R&D pipeline—driving hypothesis validation, compound prioritization, and strategy refinement. From screening to candidate selection, we deliver data you can act on with confidence.
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Predictive
Efficacy
Insights
Readouts
Output
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Benefits

We Turn Complex Biology Into Clear Insight

Pixlbio combines human cell models, automated imaging, and AI-powered phenomics to reveal what others miss — delivering speed, accuracy, and predictive clarity in every experiment.
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Human-relevant biology
We develop iPSC-derived human-relevant cell models that more accurately reflect real patient biology, reducing the gap between preclinical discovery and clinical success.
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Scalable automation
From imaging to functional analysis, every step is automated, enabling high-throughput screening without sacrificing precision. This leads to superior readouts to fuel your predictive models. Robust and reproducible.
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SaaS platform
Enabling partners to track experiments in real-time and run in-silico phenomic predictions—through secure, API-based access.
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AI-driven insights
Our advanced phenomics pipeline analyzes billions of cell–pixel relationships, revealing subtle changes invisible to the human eye.
Automation at the Core

Clarity from Complexity. Automation That Sees What Others Miss.

Our service automates key processes — from data collection to analysis and physical operations. This allows you to reduce time, reduce the human factor, and increase the accuracy of results.
Automated Experimentation
From Design to Execution — Fully Automated
Integrated robotics handle experimental setup, perturbations, and cell painting with precision and consistency. Every step — from sample handling to imaging — runs seamlessly, minimizing variability and human intervention.
Intelligent Data Generation
High-Quality, Reproducible Data — At Scale
Our platform captures and manages cellular data through automated imaging and quality control pipelines. AI ensures each dataset meets the highest standards for reproducibility, enabling confident discovery and scalable experimentation.
Predictive Modeling
From Phenotypic Signatures to Actionable Insights
Advanced AI models analyze complex phenotypic data to uncover mechanisms of action, identify potential toxicities, and predict drug responses. This transforms raw image data into predictive insights for safer, faster, and more effective drug development.
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Real-world applications of Pixlbio
Applications
Early toxicity screening
Predict hepatotoxicity, cardiotoxicity, and off-target effects prior to animal studies.
Mechanism of action discovery
Map phenotypic fingerprints to known mechanisms or uncover new ones.
Hit triage & prioritisation
Rank candidates across donors and disease backgrounds.
Complex disease modeling
Evaluate compounds in MASLD, A1ATD, fibrosis, rare metabolic disease — or engineer your own model.

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.”

Bjarki Johannesson
Director of Safety Innovation, 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.”

Bodo Brunner
Head of In Vitro Biology and Cell Sample Technologies, Sanofi

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.”

Denis Gallagher
Principal Scientist, Deep Genomics
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