CAMBRIDGE, Mass. — Quantori has entered a co-marketing partnership with Knowledge3 to promote knowledge-driven artificial intelligence tools for life sciences and healthcare organizations.
Quantori, a provider of digital transformation services and technology for the life sciences and healthcare industries, said the partnership combines its work in AI, scientific software engineering and life sciences research and development with Knowledge3’s focus on knowledge graphs, FAIR data principles and graph-grounded generative AI.
The companies said they aim to help organizations move beyond fragmented data environments and isolated AI projects by building more scalable, context-aware and sustainable AI systems.
“AI initiatives in life sciences increasingly depend on connected, trustworthy, and reusable knowledge foundations,” said Chris Waller, Chief Strategist at Quantori. “Knowledge3’s philosophy around FAIR implementation patterns, Knowledge Graphs, and graph-grounded AI strongly aligns with how we help organizations operationalize AI across research and enterprise workflows.”
Knowledge3 works with organizations on enterprise architecture and semantic data foundations, including the use of knowledge graphs and data structures intended to better connect business goals with IT delivery.
“At Knowledge3, we believe technology should reinforce business understanding rather than fragment it,” said Tom Plasterer, Co-Founder of Knowledge3. “Partnering with Quantori allows us to combine deep life sciences and AI delivery expertise with our knowledge-centric framework to help organizations build scalable and economically viable AI strategies.”
Under the partnership, the companies plan to collaborate on thought leadership, webinars, industry events and educational content focused on knowledge graphs, FAIR data implementation, agentic AI and scientific knowledge platforms.
Quantori and Knowledge3 said demand is growing for AI systems that provide semantic context, provenance, interoperability and governance, particularly in regulated and data-heavy industries such as pharmaceuticals and biotechnology.
