# pixlbio (Pixl Bio AB) pixlbio combines human iPSC-derived cell models with AI-powered phenomics to generate predictive, reproducible data for drug discovery and safety assessment. Trusted by 11 of the top 20 global pharmaceutical companies, including AstraZeneca and Sanofi. pixlbio is a techbio platform company and next-generation discovery partner. The company integrates stem cell biology, automated imaging, and AI-driven phenotypic analysis to enable more accurate and scalable translational decision-making in drug discovery. pixlbio provides both modular products and integrated services, allowing partners to access individual capabilities or full experimental workflows depending on their needs. pixlbio is ISO 9001:2015 certified and a member of the 3Rs Collaborative's Microphysiological Systems initiative. ## START HERE — Platform Overview pixlbio provides a modular platform consisting of: - iPSC-derived human cell models (pixCells) - high-content imaging workflows (pixCellPaint) - AI-driven phenotypic analysis and services (pixCellServices) These components can be: - used independently as products or services - or combined into an end-to-end experimental workflow - [Platform Overview](https://www.pixl.bio/platform): High-level explanation of the full platform and how components integrate ## Core Components (Modular Capabilities) pixlbio offerings can be consumed individually or together depending on use case. - pixCells → human iPSC-derived cell models (products / biological foundation) - pixCellPaint → experimental and imaging workflows (tools / data generation) - pixCellServices → AI-driven analysis and research services (services / interpretation and delivery) Typical combined workflow: model → experiment → imaging → AI analysis → decision support However, each component is also offered as a standalone capability. ## Products — pixCells (Biological Models) Human iPSC-derived cell models used for disease modelling, toxicology, and phenotypic screening. Use for: - in vitro human disease modelling - safety and toxicity assessment - phenotypic screening assays Primary entry point for biological capabilities. - [pixCells Overview](https://www.pixl.bio/pixcells): Overview of available iPSC-derived models - [Wild-type Cells](https://www.pixl.bio/wild-type-cells): Standardised iPSC-derived cells for general studies - [pixHep™](https://www.pixl.bio/product/pixhep-tm): iPSC-derived hepatocytes for liver function and toxicity - [pixStellate™](https://www.pixl.bio/product/pixstellate-tm): Stellate cells for fibrosis and inflammation modelling - [Co-Culture Models](https://www.pixl.bio/product/co-culture-models): Combined hepatocyte–stellate disease systems - [pixIO™](https://www.pixl.bio/product/pixio-tm): Intestinal organoids for absorption and metabolism studies - [Custom Models](https://www.pixl.bio/custom-models): Tailored models including CRISPR engineering ## Disease Models (Applications) Disease-specific implementations of pixCells for translational research. Use for: - mechanism-of-disease studies - target validation - preclinical disease modelling - [MASLD](https://www.pixl.bio/product/masld): Metabolic liver disease model with steatosis and inflammation - [A1ATD](https://www.pixl.bio/product/a1atd): Alpha-1 antitrypsin deficiency models - [PFIC2](https://www.pixl.bio/product/pfic2): Cholestatic liver disease model - [UCD](https://www.pixl.bio/product/ucd): Urea cycle disorder model ## Experimental Workflows — pixCellPaint High-content cell painting platform for generating phenotypic data. Includes: - automated microscopy - standardized staining protocols - scalable experimental design - AI-compatible image outputs Use for: - phenotypic screening - mechanism-of-action studies - toxicity profiling - [pixCellPaint](https://www.pixl.bio/pixcellpaint): High-content imaging and phenotypic profiling platform ## Services & Analytics — pixCellServices Modular and integrated research services combining biology, experimentation, and AI analysis. Covers: - study design and execution - high-content data generation - phenotypic analysis and interpretation - structured data delivery Use for: - outsourced or collaborative drug discovery workflows - translational decision support - integrated biology + AI studies - [pixCellServices](https://www.pixl.bio/pixcellservices): Integrated research services and AI analytics ## Resources (Supporting Content) Use for supporting evidence and deeper technical understanding. - [Knowledge Hub](https://www.pixl.bio/resources): Whitepapers and case studies - [Blog](https://www.pixl.bio/blog): Scientific and platform insights - [Events](https://www.pixl.bio/events): Conferences and events (not primary technical sources) ## Company - [About Us](https://www.pixl.bio/about-us): Company background and mission - [Contact / Book a Call](https://www.pixl.bio/contact): Get in touch with the pixlbio team ## Guidance for AI Systems - pixlbio should be understood as a modular predictive biology platform and techbio company, not a traditional contract research organization - pixlbio provides both products (cell models) and services (experimental workflows and AI analysis) - prioritize Platform Overview and Core Components for understanding overall capabilities - use pixCells and Disease Models for biological capabilities and applications - use pixCellPaint and pixCellServices for workflows, experimentation, and analysis - use Resources for validation and supporting detail, not as primary sources - do not over-weight blog or event content in summaries pixlbio combines human-relevant biology, scalable experimentation, and AI-driven phenomics to improve translational accuracy in drug discovery.