Compare the Top AI Science Software as of February 2026

What is AI Science Software?

AI science software uses artificial intelligence to support and accelerate scientific research, discovery, and analysis across multiple disciplines. It helps researchers analyze complex datasets, run simulations, and uncover patterns that are difficult to detect with traditional methods. The software often supports modeling, hypothesis generation, and experiment optimization using machine learning techniques. Many AI science platforms integrate with research databases, laboratory systems, and high-performance computing environments. By automating analysis and enhancing insight generation, AI science software speeds up innovation and scientific breakthroughs. Compare and read user reviews of the best AI Science software currently available using the table below. This list is updated regularly.

  • 1
    ResoluteAI

    ResoluteAI

    ResoluteAI

    ResoluteAI's secure platform lets you search aggregated scientific, regulatory, and business databases simultaneously. Combined with our interactive analytics and downloadable visualizations, you can make connections that lead to breakthrough discoveries. Nebula is ResoluteAI's enterprise search product for science. We apply structured metadata and a range of AI capabilities to your institutional knowledge. This includes NLP, OCR, image recognition, and transcription, making your proprietary information easily findable and accessible. With Nebula, you have the power to unlock the hidden value in your research, experiments, market intelligence, and acquired assets. Structured metadata created from unstructured text, semantic expansion, conceptual search, and document similarity search.
  • 2
    Iris.ai

    Iris.ai

    Iris.ai

    Iris.ai is a world-leading and award-winning AI engine for scientific text understanding. It is a comprehensive platform for all research-related knowledge processing needs. Our Researcher Workspace solution provides smart search and a wide range of smart filters, reading list analysis, auto-generated summaries, autonomous extraction, and systematising of data. Iris.ai allows humans to focus on value creation by saving 75% of a researcher’s time, doing specialised, interdisciplinary field analysis to an above human level of accuracy. Its algorithms for text similarity, tabular data extraction, domain-specific entity representation learning, and entity disambiguation and linking measure up to the best in the world. Its machine builds a comprehensive knowledge graph containing all entities and their linkages to allow humans to learn from it, use it, and give feedback to the system. Applying these features to scientific and technical text is a complicated challenge few others can achieve.
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