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Data Layer Solutions

The AI engine Fit Assessment

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The company specializes in biostatistics and pharmaceutical data analytics for biotech, pharmaceutical, and healthcare companies, offering cloud-based SaaS solutions for drug safety assessment, regulatory compliance, RWE generation, and clinical trial analytics.

Blurb

Provider of biostatistics and pharmaceutical data analytics services intended to advance biostatistics and drug analytics through scalable, cloud-based SaaS platforms. The company offers a wide range of services like biostatistics and clinical trial analytics, event monitoring and risk assessment, post-market surveillance, patient outcomes analysis, regulatory compliance and data standardisation, cloud-based data management and integration, and many more, helping pharmaceutical companies, CROs, and biotech firms accelerate drug development while meeting global regulatory standards.

HQ Location

Manchester (United Kingdom)

Founded

2024

Employees

11 - 50

Total funding raised

Not available

Funding Status

Not available

At Data Layer Solutions, we specialise in Biostatistics and pharmaceutical data analytics, helping biotech, pharmaceutical, and healthcare companies leverage data for drug development, clinical trials, and regulatory compliance. Our advanced SAS-based statistical analysis and cloud-based solutions provide powerful tools for drug safety assessment, predictive modelling, and real-world evidence (RWE) generation.



Our Mission :

We are dedicated to advancing biostatistics and drug analytics through scalable, cloud-based SaaS platforms.Develop innovative solutions for clinical trial data management and analysis.Enable statistical modelling and predictive analytics for drug discovery and safety monitoring.Provide real-world evidence (RWE) platforms to support regulatory decisions.Enhance pharmacovigilance and adverse event reporting with AI-driven insights.Ensure compliance with regulatory standards (FDA, EMA, ICH-GCP) through secure and validated analytics.



Our Vision :

Accelerate drug development with AI-enhanced statistical modelling.Optimise clinical trial workflows with real-time data processing.Improve patient safety through automated pharmacovigilance.Ensure compliance and transparency in regulatory submissions.Leverage machine learning and big data for precision medicine and biomarker discovery.