The academic AI platform adds Claim Confidence and Peer Review as more Philippine universities explore responsible AI use in research and learning.
Jenni AI is expanding its presence in the Philippines with the launch of Reviews, a suite of research-focused tools designed to help students and researchers verify claims, check sources, and assess draft quality before submission.
The rollout comes as more Philippine higher education institutions explore how AI can be integrated into academic work while maintaining standards around research quality, transparency, and academic integrity. Jenni AI is now used across seven local institutions, including Mapúa University, University of Santo Tomas, Cebu Technological University, Central Philippine University, Holy Angel University, Laguna State Polytechnic University, and De La Salle Medical and Health Sciences Institute.
Claim Confidence checks sources and citations
One of the two headline tools in Reviews is Claim Confidence, which checks the sources and claims in a draft and flags content that may be misrepresented or unverified.
It can also suggest citations where supporting evidence is missing, addressing one of the common concerns around AI-assisted academic writing: fabricated or unreliable references. By making the verification process more explicit, the tool is intended to help users trace information back to actual sources instead of relying on generated citations without checking them.
“The objection we hear from Philippine faculty is never ‘AI is bad.’ It’s ‘can I trust what it produced and are the sources AI is referencing real?’” said Justin Wong, head of commercial operations at Jenni AI. “Claim Confidence exists because that’s a fair question. If a tool puts a citation in your paper, it should be able to show you the source and tell you when it can’t.”
Peer Review assesses drafts before submission
The second major tool is Peer Review, which evaluates a paper using a standardized rubric and provides comments on strengths and weaknesses before it reaches a journal or formal submission stage.
This gives students and researchers another layer of feedback during drafting, particularly for structure, argument quality, and areas that may need revision. Rather than replacing academic judgment, the tool is positioned as an additional checkpoint before a paper moves forward.
Jenni AI is also building on its AI Declaration command, which inserts a formal acknowledgement of AI use into a paper. More than 100 published papers have used the feature, reinforcing the platform’s emphasis on transparency in academic AI use.
Growing use in Philippine universities
The new tools arrive alongside Jenni AI’s growing institutional presence in the Philippines. The platform has agreements with seven higher education institutions, including De La Salle Medical and Health Sciences Institute, which renewed its agreement.
The expansion also reflects a broader shift in how universities are approaching AI. Philippine institutions are increasingly looking beyond whether AI should be used and focusing instead on how it can support teaching and research without weakening academic responsibility.
The Commission on Higher Education has been developing a draft AI Policy in Education focused on responsible integration, while research cited from the Second Congressional Commission on Education points to institutions introducing measures around academic integrity, assessment design, and AI literacy.
Keeping research grounded in sources
Jenni AI works within a user’s own library of uploaded papers and integrates with reference managers including Zotero and Mendeley. Generated text can be linked back to its sources, helping users keep drafts grounded in the literature they are working with.
The platform is used by more than 6.5 million students, researchers, and academics worldwide. Its current direction places greater emphasis on verification, traceability, and transparency as AI becomes more common in academic workflows.
More information is available through the Jenni AI website.