Our approach to AI

From data to discovery — accelerated by AI

At Digital Science, we’ve been pioneering the integration of artificial intelligence (AI) into our solutions since 2013, working closely with the research community to meet their needs. With an unwavering commitment to the responsible development and deployment of AI, we empower researchers and their institutions, government agencies, industries, publishers, and funders by enhancing their capabilities and workflows through our AI-driven solutions, driving progress for all.

From the community for the community

Our mission: Research is the single most powerful transformational force for the long-term improvement of society; the advancement of science is at the heart of what we do.
Our solutions: We have a long history of innovative technology, developed by members of the research community for the community.

Our commitment to responsible AI

Ethical standards: Digital Science prioritizes transparency and fairness in AI development and deployment.
User empowerment: We design AI solutions that augment human intelligence, keeping users at the center of decision-making.
Continuous improvement: Our ongoing engagement with the community ensures we’re refining AI-based applications, addressing emerging needs and challenges.

Enhancing research capabilities

Data analysis: Utilizing AI to process and interpret vast datasets, uncovering insights that drive innovation.
Content summarization: Generating concise summaries, facilitating quick comprehension of complex information.
Predictive modeling: Forecasting trends, aiding in strategic decision-making.

At Digital Science, we have a commitment to innovation, hand-in-hand with the responsible development of AI tools. We’re continuously finding new ways to harness and realise AI’s potential, giving researchers the most powerful tools to help make society better for all.”

Daniel Hook

CEO, Digital Science

Streamlining workflows

Automation: Applying AI to handle routine tasks, allowing professionals to focus on higher-value activities.
Personalization: Leveraging AI to tailor user experiences, enhancing engagement and satisfaction.
Integration: Ensuring seamless incorporation of AI tools into existing systems, promoting efficiency, relevance and impact.

Our AI journey

Early adoption: We began investing in AI technology and methodologies in 2013, with a global team of experts, many of them from the research community.
Technological integration: Machine learning (ML), natural language processing (NLP), and large language models (LLMs) were among our earliest integrations, to help address complex research challenges.
Collaborative development: Our stakeholders in the research community and industry have played a critical role in ensuring our AI-based solutions are tailored to real-world needs.