Literature review
Search, organise and synthesise current literature with a reproducible scope and limitations.
VERITAS ACADEMIC
Research cannot afford invented citations.
Search, compare, verify and cite. Turn selected papers into a review of methods, conflicting findings and unanswered questions.
For researchers, doctoral students and university teams.
- Built in the European Union
- EU storage, processing and AI inference
- Privacy and access controls
- No training by Veritas
- Sources you can inspect
- Human review
Professional AI you can verify.
A persuasive summary is not a literature review.
Citation checks flag missing or unsupported references. They do not guarantee that a paper or claim is correct.
- 01Literature review
- 02Study comparison
- 03Citation verification
From documents to a useful result
Illustrative example · fictional documents
Your question
Review these papers and identify areas where the evidence conflicts.
Evidence
1
The designs support different strengths of inference.
2
A shared conclusion does not remove the need to compare methods and limitations.
Review before use · Citation checks flag missing or unsupported references. They do not guarantee that a paper or claim is correct.
Sources
Study A · methods Inspect the source
Participants were randomly assigned to intervention and control groups.
Study B · limitations Inspect the source
The observational design cannot establish a causal effect.
An evidence matrix, research gaps and references you can inspect.
Start with your own documentsProfessional workflows
Study comparison
Compare design, sample, methods, outcomes, findings and applicability across studies.
Research gaps
Separate demonstrated gaps from unresolved conflicts and limits of the available search.
VERITAS TRUST
Your data deserves straight answers.
Is our data used to train AI models?
Customer Content is not used to train Veritas Ask. Inference, security logging and retention are separate processes governed by the applicable agreement.
Where is our data stored and processed?
Customer Data is stored and processed within the European Union, including AI inference. Detailed infrastructure locations are not published.
Does our information leave Europe?
The standard service has no exception for routine processing or support outside the EU. Changes require prior agreement and applicable legal safeguards.
Can we upload confidential documents?
Authorised professional work with personal data is permitted under the applicable legal basis and DPA. Sensitive data requires an agreed controlled deployment. Classified information is excluded from the standard service.
Can we compare Veritas with another AI?
Yes. Use the same authorised or anonymised documents and question. Compare source accuracy, missing evidence, uncertainty and the human correction required.
How do individual and university licences differ?
Individual access follows the selected plan and limits. Team plans start at three seats. University and institutional licences require agreed seats, usage and contractual conditions.
EUROPEAN ACADEMIC PRINCIPLES FOR AI
Designed with European academic principles in mind.
In developing Veritas Academic, we take into account the direction and recurring principles reflected in the work and initiatives of leading European university networks — EUA, EURASHE, CESAER and UNICA — including responsible AI use, human oversight, academic and research integrity, transparency, data protection, AI literacy and institutional responsibility.
EUA — European University Association
AI should serve the needs and values of universities. EUA highlights ethics, institutional strategy, education and AI literacy, regulation and sustainability as key considerations when universities adopt AI.
EURASHE — European Association for the Applied Sciences in Higher Education
A practical and responsible approach to introducing AI into higher education, understanding European regulation and enabling institutions to use AI in ways that are legally and institutionally manageable.
CESAER
Trustworthy and human-centred AI, research integrity, transparency, data protection and human oversight. CESAER also highlights the importance of trusted tools and a strong European technological environment.
UNICA — Institutional Network of the Universities from the Capitals of Europe
An “AI-ready” university needs to use AI responsibly across teaching, research and institutional operations while understanding its capabilities, limitations and risks.
We translate these principles into the way Veritas Academic works: verifiable sources, visible uncertainty, human review, customer data storage and processing within the European Union, including AI inference and no training of Veritas Ask on customer content.
Built in Europe for professional responsibility.
Veritas Ask is developed by MAŃSKI AI s.r.o. in the European Union around a simple principle: a professional answer is more valuable when its evidence, uncertainty and provenance are visible.
Compare on evidence, not promises.
Check sources, uncertainty, missing information and the work needed to reach a usable result.
Discuss your deploymentExplore a specific task
See the difference with your own work.
Bring a real question. Use authorised documents. Compare the result.