Excelra

Excelra is a data science and informatics company serving the life sciences industry globally. Founded in 2016, the company provides a combination of curated databases, analytical services, and scientific informatics solutions to pharmaceutical, biotech, and other life science organisations. Excelra works with 16 of the top 20 global pharma companies and maintains relationships with more than 135 global partners, supported by a team of over 1,000 domain experts spanning chemistry, biology, data science, and software engineering.

The company's core focus is transforming raw, complex life sciences data into structured, actionable insights that support drug discovery and development. Excelra combines automation with human scientific expertise to curate, standardise, organise, and deliver data suited to specific research requirements. It operates as a collaborative partner, co-designing solutions with client teams rather than applying a fixed methodology.

Data Science and Analytics Services

• Bioinformatics: Covers multi-omics analysis, predictive modelling, target discovery, and patient stratification, delivering insights at scale to support biomedical research.
• Computational Biology: Provides support across omics analysis, biomarker discovery, data engineering, and AI-powered insights, translating complex biological data into decision-ready outputs.
• Cheminformatics: Offers SAR data extraction, Markush analysis, virtual screening, and customised datasets to support drug discovery, agrochemical research, and AI-driven compound design.
• Curation: Delivers high-quality data curation across chemistry, biology, clinical research, and healthcare, structuring information to support life science R&D workflows.
• Semantics: Provides end-to-end semantic data solutions including data integration, FAIRification, ontology mapping, and custom knowledge graph development for biopharma organisations.
• Data FAIRification: Transforms life sciences data — including omics and clinical datasets — into AI-ready, interoperable assets through expert FAIRification, bioinformatics solutions, and data engineering, ensuring datasets are structured and compliant for advanced analytics.
• Data Visualization: Builds custom dashboards, interactive reports, and visual tools using platforms including R, Python, PowerBI, and Tableau to help researchers interpret complex life science data.
• HEOR and RWE: Offers end-to-end health economics and outcomes research (HEOR) and real-world evidence (RWE) services, covering outcomes research, economic modelling, value communication, and big data analytics.

Scientific Informatics Services

• Scientific Applications: End-to-end scientific application services spanning consulting, cloud, data, and visualisation capabilities.
• Scientific Data Management: Solutions for organising and managing scientific data assets within life science organisations.
• Lab Informatics: Informatics support for laboratory environments and workflows.
• Cloud Enablement: Services to support the migration and operation of scientific workloads in cloud environments.

Databases — GOSTAR™ SAR Databases

• GOSTAR™ Small Molecules: A curated structure-activity relationship (SAR) database focused on small molecule drug discovery data.
• GOSTAR™ TPD: A database dedicated to targeted protein degradation (TPD) research.
• GOSTAR™ Large Molecules: SAR data coverage for large molecule therapeutics.
• GOSTAR data is used by AI-driven drug discovery companies, including Variational AI and Iambic Therapeutics, as a training resource for generative and physics-based AI models targeting multi-parameter molecular optimisation.

Databases — Biomarker

• Custom Biomarker Knowledgebase: A disease-focused biomarker intelligence resource built to support specific research programmes, offering curated biomarker data tailored to client requirements.

Bioinformatics Applications

• BioVisualizer™: A bioinformatics visualisation application for exploring and interpreting biological data.
• Cloud Solution: A cloud-based deployment option for bioinformatics workflows.
• Online Pipeline Platform (OP²)®: An online platform for running and managing bioinformatics analysis pipelines.

Notable Customers and Partnerships

• Fauna Bio has partnered with Excelra since 2020 to curate functional datasets from adapted species and human data to power its AI-driven drug discovery platform.
• Variational AI uses GOSTAR curated data as a core input for its generative AI technology, Enki, which performs multi-parameter optimisation for novel compound design.
• Iambic Therapeutics incorporates GOSTAR data to train data-efficient, physics-based AI models for early-stage drug discovery across a wide range of molecular endpoints.

Company Values and Operating Principles

• Trust: Building strong, sustainable relationships with clients, partners, and internal teams.
• Transparency: Maintaining openness and honesty in all client and partner interactions.
• Teamwork: Working collaboratively toward shared goals, embedding with client teams rather than delivering standalone services.
• The company describes its approach as co-designing and co-creating solutions alongside client teams, with a focus on shortening and simplifying the data discovery journey.

Excelra positions itself as a partner for life science organisations seeking to move from raw data to research-ready insight, with particular depth in drug discovery data curation, SAR databases, bioinformatics, and AI-ready data preparation. Its client base spans large pharmaceutical companies, biotechs, and AI-driven drug discovery firms.