Trusted AI for the academic world
One platform for the entire
academic ecosystem.
ResearchGuru.AI brings researchers, professors, libraries and universities together in
one trusted environment for research discovery, academic writing, peer review, research
integrity, institutional learning and responsible AI.
About · Founders & academic leadership
Founded by researchers. Built for institutions.
ResearchGuru.AI combines senior academic leadership from Germany with an international
North American perspective. Both founders are presented with their own research philosophy,
with Dr. Otmane Azeroual as the senior academic voice and product visionary.
Dr. Otmane Azeroual
Founder · Researcher · Author · Editor · Germany
Academic direction & product vision
Dr. Otmane Azeroual is a researcher, author and editor working at the
intersection of artificial intelligence, research information systems, data governance,
research integrity and digital transformation. With more than 120 scientific
publications, international book projects and extensive experience in academic
publishing, teaching, peer review and research collaboration, he shapes the scientific
standards and long-term vision of ResearchGuru AI.
Building trustworthy AI for researchers, professors, libraries
and universities.
“I founded ResearchGuru AI because science needs more than
fast answers. It needs intelligent infrastructure that respects evidence, strengthens
scientific thinking and earns the trust of researchers, professors, libraries and
universities.”
120+
Scientific PublicationsAI
Trustworthy Systems & Research InformationGlobal
Books, Publishing & Research Collaboration
Dr. Richard R. Khan
Founder · Researcher and Author · Canada
International research perspective
Dr. Richard R. Khan contributes a North American perspective on artificial
intelligence, emerging technology and academic knowledge. His role strengthens
ResearchGuru AI’s connection to international research communities and to the practical
needs of scholars, educators and institutions.
“The future of research depends on making complex technology
understandable, responsible and useful. AI should expand human knowledge while keeping
curiosity, judgement and academic responsibility at the centre.”
RAISEFFRAMEWORK
RAISEF — Responsible AI System Evolution Framework
A framework for building, operating and governing responsible AI, created by
Dr. Khan. Fifteen drivers across three pillars guide transparent decisions
across a system's whole lifecycle, supported by the AI Risk Assessment
Checklist (AIRAC) and a readiness scorecard.
Ethical SafeguardsOperational IntegritySocietal Empowerment
Visit raisef.ai →
One academic platform
Designed for every role that advances knowledge.
Each audience receives a tailored experience while working within the same trustworthy
academic environment.
◎Researchers
Discover evidence, strengthen manuscripts, protect originality and publish with greater confidence.
❖Professors
Support supervision, teaching, academic feedback, reviews and responsible student use of AI.
▤Libraries
Offer modern research services, literacy support, integrity guidance and trustworthy AI access.
⌂Universities
Scale academic AI through governance, quality standards, institutional insight and shared infrastructure.
Research library · Publications
Academic work behind the ResearchGuru AI vision.
Beyond the founders’ books above, the research library connects the platform’s product
philosophy with peer-reviewed scholarly work on trustworthy AI, academic research support
and responsible innovation — each presented with a clear explanation of its relevance to
researchers, professors, libraries and universities.
IGI Global · Scholarly Book Chapter
Research Guru AI
This chapter presents ResearchGuru AI as an integrated academic platform and explains how AI
can support research activities across the scholarly lifecycle. Its relevance lies in
connecting practical digital tools with the expectations of scientific quality, academic
responsibility and institutional use.
Academic platformResearch lifecycleAI-assisted researchScientific qualityDOI 10.4018/979-8-2600-1433-2.ch003
Explore the chapter →
De Gruyter Brill · Scholarly Publication · 2025
From a flood of literature to insight: Research Guru AI as a catalyst for the future of scientific analysis
The exponential growth of scientific publications makes it increasingly difficult for
researchers to extract relevant insights from a rapidly expanding body of literature. This
paper presents Research Guru AI as an AI-powered platform that uses advanced natural language
processing to analyze, compare and evaluate scientific works, discussing its functionality,
methodological framework and cross-domain applications, and how AI-supported literature
analysis can improve the quality, efficiency, transparency and reproducibility of scientific work.
Peer reviewedInformation practiceAcademic AIDOI 10.1515/iwp-2025-2050
Read the publication →
De Gruyter Brill · Scholarly Publication · 2026
Digital sovereignty in the age of generative AI
The rapid spread of generative AI is transforming scholarly information practices and creating
new structural challenges for research infrastructures. This paper develops a three-dimensional
framework of digital AI sovereignty — technological, data-related and organizational — giving
research institutions practical guidance for the reflective, sustainable and sovereign use of
generative AI.
Scholarly researchResponsible innovationTrustworthy AIDOI 10.1515/iwp-2026-3017
Read the publication →
Engineering excellence
The people building trusted academic AI.
The developer profiles sit within the About story, showing that engineering decisions are
connected directly to transparency, reliability and academic responsibility.
Aditya Sikarwar
AI Developer
“Our goal is not simply to build faster AI. We build systems that researchers
and universities can understand, evaluate and trust.”
Sanidhya Dhangar
AI Developer
“Every intelligent feature carries a responsibility: it must remain reliable,
transparent and aligned with scientific integrity.”
AI
AISGIAI Safeguard Institute
The AI Safeguard Institute is the research and innovation environment connected to the
engineering team behind ResearchGuru AI. AISGI focuses on trustworthy artificial intelligence,
AI safeguards, responsible system design and applied research that can be translated into
reliable solutions for science, education and institutions. Aditya Sikarwar and Sanidhya
Dhangar work within this environment, connecting product development with AISGI’s wider
mission: building AI that is transparent, secure, accountable and aligned with human and
institutional values.
01
Trustworthy AI
Research into transparent, explainable and accountable AI systems.
02
AI Safeguards
Methods that reduce risk and strengthen reliability, oversight and responsible use.
03
Applied Research
Transforming scientific knowledge into usable technologies and institutional solutions.
04
ResearchGuru AI
A flagship academic application connecting responsible AI research with the scholarly ecosystem.
A message from the founders
Science advances through trust. Technology should strengthen it.
“ResearchGuru AI
brings together academic experience, international research perspectives and responsible
engineering. Our mission is to give the global academic community AI that improves access to
knowledge without compromising scholarly judgement, transparency or research integrity.”
Dr. Otmane Azeroual | Dr. Richard R. Khan
Founders, ResearchGuru.AI
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