
Axtria and Genloop Collaborate on Domain-Specific AI for Life Sciences
Axtria and Genloop have announced a collaboration to deliver domain-trained large language models (LLMs) tailored for the life sciences industry, announced in a press release. This partnership aims to enhance the implementation of agentic AI solutions by addressing industry-specific challenges such as regulatory compliance and enterprise system connectivity.
The collaboration integrates Axtria's data analytics expertise with Genloop's specialized LLMs, offering life sciences companies AI solutions that understand industry-specific terminology and processes. These solutions are designed to improve accuracy, flexibility, and cost efficiency while ensuring data security through privately hosted models.
Axtria's new platform, Axtria InsightsMAx.ai, benefits from this collaboration by incorporating these domain-specific LLMs, which are expected to enhance decision-making processes and ensure reliable performance. The partnership also promises predictable costs and adaptive learning systems that evolve through ongoing use, providing a comprehensive AI solution for the life sciences sector.
We hope you enjoyed this article.
Consider subscribing to one of several newsletters we publish like Life AI Weekly.
Also, consider following us on social media:
More from: Healthcare & Life Sciences
Subscribe to Daily AI Brief
Daily report covering major AI developments and industry news, with both top stories and complete market updates
Market report
2025 Generative AI in Professional Services Report
This report by Thomson Reuters explores the integration and impact of generative AI technologies, such as ChatGPT and Microsoft Copilot, within the professional services sector. It highlights the growing adoption of GenAI tools across industries like legal, tax, accounting, and government, and discusses the challenges and opportunities these technologies present. The report also examines professionals' perceptions of GenAI and the need for strategic integration to maximize its value.
Read more