Digital Science buys Jenni AI, with research-data integration still ahead
The buyer plans to add Dimensions data and full-text search over the coming months. Jenni will keep its name, team and pricing.
Loading page…
The buyer plans to add Dimensions data and full-text search over the coming months. Jenni will keep its name, team and pricing.
Listen to this story
Digital Science acquired Jenni AI on October 29, 2026, adding an academic writing assistant to a portfolio of research tools. The strategic payoff is not live yet: over the coming months, Jenni is expected to connect to Dimensions, Digital Science’s database of 171 million publications, and its full-text search, supporting literature discovery and checks against published research. Jenni will remain a standalone product with its team, pricing and subscription plans unchanged; the financial terms were not disclosed.
Jenni reports more than eight million student and researcher users across 189 countries.
Users can upload papers or import reference libraries, draft and refine text, and check citations against source material.
CEO Stephen Leicht said the planned Dimensions connection could verify sources Jenni suggests; the integration has not yet been demonstrated.
Digital Science has acquired Jenni AI, pairing an academic writing assistant with plans for deeper checks against published research. The deal was announced on October 29, 2026, but the data integration is still ahead: the company says Jenni will begin incorporating its research data and full-text search capabilities over the coming months.
Digital Science says Jenni is used by more than eight million students and researchers across 189 countries. The purchase brings that audience into a business whose existing research tools include Overleaf, Papers AI and ReadCube. Financial terms were not disclosed.
Jenni already combines several steps of academic work. Users can upload papers or import reference libraries, explore their sources, draft and refine text, and check citations against the original material. It is a research and writing assistant, rather than only a tool for generating a finished draft.
The planned addition starts with Dimensions, Digital Science’s database of 171 million research publications. The company intends to bring that research data and full-text search into Jenni to help users find scholarly literature, understand sources and cite them. The acquisition therefore adds a planned route to Digital Science’s research collection, alongside Jenni’s existing tools for working with papers users supply.
Digital Science CEO Stephen Leicht put citation verification at the center of the deal. He said sources suggested by Jenni could be verified against Dimensions. That is the company’s stated rationale for connecting the products—not a demonstrated result from the integration, which remains scheduled for the coming months.
We started Jenni with the belief that the future is written with AI, not by AI. We built Jenni to empower researchers to explore their curiosity and publish great work.
David Park, CEO of Jenni AI, in the acquisition announcement
For existing customers, Digital Science’s announcement promises continuity. Jenni will remain a standalone product under its own name, with the same team, pricing and subscription plans. The company is describing an addition to Jenni’s research capabilities, not a requirement that users move to another product in its portfolio.
The surrounding portfolio covers related but distinct parts of research work. Digital Science describes Overleaf as a collaborative writing platform using LaTeX, a system for preparing formatted documents. ReadCube provides AI-powered reference management, while Papers AI combines data, analysis and writing. Jenni joins those tools while retaining its separate identity.
Digital Science also identifies a specific audience benefit for its own business: closer direct relationships with master’s and PhD students early in their careers. Its stated ambition is to support those researchers as their work develops, from initial ideas and academic writing into more advanced, data-heavy research.
Loading discussion...
Join the conversation
Explain what that would reassure you about—or leave unresolved.
Be the first to share a perspective or an experience.
Reader comments
Newest comments first. Replies stay oldest first.