Frequently Asked Questions

No retrieval-grounded AI system can honestly claim zero hallucinations. What BioSkepsis does is make them auditable. The reasoning engine is constrained to peer-reviewed literature and your own uploaded data, every claim carries a traceable in-text citation to the source passage, and the system explicitly declines when evidence is insufficient rather than filling the gap with plausible text. The promise is measurably reduced citation errors and an explicit evidence trail you can verify, not an impossible guarantee.

Yes, BioSkepsis allows its users to capture their daily laboratory work by uploading notes and result descriptions so the system can identify the most relevant literature for immediate interpretation. The AI maps what you describe against known biological pathways and molecular mechanisms, explaining how your findings align or conflict with existing published evidence. This helps researchers turn fragmented observations into clearer, evidence-grounded, publishable insights.

Yes, BioSkepsis is an ideal companion for students and researchers who need a "Bird's Eye View" of a complex topic without existing deep domain expertise. Our engine suggests research questions and provides high-level literature maps that help you identify core concepts, landmark papers, and the "Connective Tissue" of a field in minutes. Instead of getting lost in technical jargon, students can use BioSkepsis to build a structured mental model of a new discipline, moving from a broad overview to specific mechanistic details with total citation-backed confidence.

BioSkepsis understands biological context through a specialized Retrieval-Augmented Generation system that builds a knowledge graph linking papers via Gene Ontology (GO), MeSH terms, specific genes, and domain-specific keywords. This allows our system to retrieve studies based on true biological relevance rather than simple text similarity or raw citation counts. Additionally, it identifies emerging research trends by detecting semantic clusters where over 50% of high-impact publications appeared in the last three years.

BioSkepsis supports 40M+ curated papers across Biology, Medicine, Pharmaceuticals, Biotechnology, Agricultural & Food Sciences, Veterinary Science, and Environmental Sciences. Our database covers publications from 1931 to today and is updated weekly to ensure your research stays synchronized with the global scientific landscape. It supports a wide range of publication types, such as Journal Articles, Reviews, Clinical Trials, Meta-Analyses, Studies, Case Reports, Conferences, Datasets, Editorials, Letters and Comments, News, Books, and Book Sections.

With BioSkepsis you can ask complex mechanistic questions, compare experimental methodologies, or seek interpretation of findings you describe from your work. For example: "Why might my qPCR results for Gene X be inconsistent in this specific cell line based on the literature?"

BioSkepsis performs full-context reasoning by analyzing the complete full-text corpus of all selected studies. This allows the engine to extract critical methodological data, such as experimental controls, caveats, and mechanistic details that are typically lost in abstract-level analysis tools. Every synthesized answer is derived from this comprehensive full-text parsing.

The BioSkepsis Research Feed is a personalized recommendation stream powered by the papers you save into named feeds. Unlike standard keyword alerts, it uses contrastive-learning embeddings of your saved papers to surface newly published work (from the last three months) that aligns with your research context, even when titles and abstracts don't share identical keywords. You can rate recommendations thumbs-up or thumbs-down to fine-tune the model over time, and BioSkepsis emails you a daily, weekly, or monthly digest so emerging breakthroughs in your area reach you without manual searching.

BioSkepsis is distinguished by its integrated discovery-to-reasoning ecosystem, combining three unique market advantages: the Research Feed, the Research Landscape, and Smart Select. Unlike other competitive AI tools that require users to manually screen and select papers, our Smart Select engine uses proprietary algorithms to suggest the most relevant correlations between the global literature and your specific query. By visualizing these connections within the Research Landscape, BioSkepsis identifies "hidden" thematic links and "Bridge Papers" that would otherwise be missed. This automation ensures your synthesis is grounded in the most statistically and biologically significant evidence without the bias of manual selection.

The BioSkepsis Research Hub is a curated community ecosystem where we provide open access to high-impact scientific frontiers. Unlike generic AI tools that require you to generate your own ideas from scratch, the BioSkepsis team uses our Evidence Funneling technology to pre-synthesize complex research topics into Free and Ready-to-Use Hypotheses. We offer these expert-curated hypotheses for free to our users, allowing you to jumpstart your research by building upon already-structured evidence landscapes. This collaborative model ensures you enter the field with a quick and easy start, grounded in the most relevant molecular pathways and peer-reviewed citations.

BioSkepsis connects to the VITALE Personal Labbook through a secure API-key integration in your Labbook settings. Once linked, you can browse your VITALE projects and experiments and pull experimental data straight into a BioSkepsis research conversation as context, so the AI can interpret your real benchwork findings against the 40M+ paper corpus. When BioSkepsis generates an evidence-grounded methodology or experimental architecture, you can save it back to VITALE in a single click, keeping your literature reasoning and your lab record on the same loop. The result is a faster bridge between your bench and the published evidence base, without manual file shuffling.

No manual downloads are required. BioSkepsis offers a direct Zotero integration: connect your Zotero API key once in settings, then push any paper from a research session into your Zotero collections in a single click. For Mendeley, EndNote, and other reference managers, BioSkepsis exports your references in universal formats (RIS, BibTeX, APA, Chicago, Harvard, Vancouver, JSON, and CSV) so you can drop them straight into your preferred library. Either way, your AI-driven synthesis stays synchronized with your existing citation ecosystem instead of leaving fragmented PDFs scattered across your hard drive.

BioSkepsis is designed to be your daily research co-pilot, not just a tool for occasional literature reviews. It is built to sit "next to the bench" to help you interpret daily results, design future experimental controls, and keep your projects grounded in the latest evidence base. By automating the discovery of actionable insights from millions of papers, it accelerates the path from experimentation to discovery.

General-purpose AI assistants are excellent for conversation, but they were not built to be evidence-grounded biomedical research engines. They can produce fluent text that cites papers that don't exist or that say something different from what they claim, and they typically reason from training data rather than the live published literature. BioSkepsis searches a continuously updated 40M+ paper biomedical corpus, retrieves studies through a biology-native knowledge graph (Gene Ontology, MeSH, genes, domain keywords), reads full-text papers rather than abstracts, and grounds every claim with a clickable citation to the exact source passage. If the evidence is missing or insufficient, the system declines to answer rather than generating a plausible guess. The result is fewer citation errors and an auditable evidence trail you can verify.

All four are AI research tools, but BioSkepsis is purpose-built for biomedical and life-science workflows rather than general academic search. The differences come from three areas. Corpus and retrieval: BioSkepsis indexes 40M+ curated biomedical papers and retrieves through a biology-native knowledge graph rather than text-only similarity. Reasoning depth: BioSkepsis reads full-text papers including methods and controls, generates mechanistic-link tables, identifies foundational/hub/bridge papers, and produces narrative landscape syntheses of an entire research area. Integrations: BioSkepsis offers a direct Zotero sync, LibKey institutional full-text resolution, and a VITALE Personal Labbook bridge that pulls bench experiments into the literature reasoning loop. Side-by-side comparisons against each tool are published at bioskepsis.ai/blog.

BioSkepsis has four tiers. Basic is free and includes semantic search across 40M+ papers, the Research Landscape graph, hypothesis and methodology generation, and up to 3 personalized Research Feeds. Plus is €8/month or €80/year and is sized for Master's and PhD students. Pro is €35/month or €350/year and is sized for PhD candidates, postdocs, PIs, and healthcare professionals, with the deepest per-chat context and the largest monthly allowances. Team is €60/month per seat or €600/year, minimum 3 seats, with seat-tiered pricing and shared billing. Organization is custom-quoted for pharma, biotech, and academic institutions and adds private-cloud deployment, SSO, GDPR and HIPAA compliance, and a dedicated account manager.

Yes. The Basic plan is free forever, with no credit card required to sign up. You can search 40M+ biomedical papers, ask follow-up questions, run one mechanistic links table, one landscape narrative, and one hypothesis and methodology generation per month, and start up to two research chats per month. You can also create up to 3 personalized Research Feeds with email alerts. When you outgrow the free limits you can upgrade to Plus, Pro, or Team at any time.

Plus (€8/month) gives you roughly 2.5x the monthly research usage of the free plan, lifts the monthly cap on mechanistic links and landscape narratives, adds file and image attachments, and unlocks Pay-as-you-go for overage. Pro (€35/month) gives you roughly 8x the monthly research usage of the free plan, a much larger per-chat context window (600K tokens vs 150K), longer initial research prompts (14,000 characters vs 7,000), image OCR on attachments, and the largest allowances across mechanistic links, landscape narratives, hypothesis, and methodology generation. Pro is recommended for full-time researchers and clinicians; Plus is designed for students with lighter workloads.

Pay-as-you-go (PAYG) lets Plus, Pro, and Team users continue working past their monthly research budget instead of hitting a hard stop. You toggle it on in your Billing settings. Overage is metered in 1,000-token units and added to your next Stripe invoice at $4.40 per 1M input tokens and $26.50 per 1M output tokens. Team owners can enable PAYG for the whole team so all member overages aggregate under one invoice. Basic does not include PAYG; on Basic you wait until the next month or upgrade.

Yes. You can cancel any paid plan from your Billing page in one click, which opens the Stripe Customer Portal. Your plan stays active until the end of the current billing period; after that you revert to Basic with no further charges. Your saved conversations and Sources remain accessible on Basic, subject to the free plan's limits. Annual plans are not pro-rated mid-period but can be cancelled at any time to stop the next renewal.

No, we do not train on your data. EFEVRE TECH LTD does not use your prompts, uploaded documents, AI outputs, or any other user-provided content to train, fine-tune, or evaluate our own or any third party's machine-learning models, and we do not sell, license, or otherwise disclose your content for marketing, profiling, or AI-development purposes. Your conversations, Sources, and uploaded notes are private by default; sharing is opt-in via a private invite link or a public publish action that you control. Full details are in our Privacy Notice at bioskepsis.ai/privacy.

Yes for GDPR. EFEVRE TECH LTD is established in Cyprus (EU) and acts as the data controller under Article 4(7) of the GDPR for personal data processed through the platform. For enterprise and institutional customers we sign a Data Processing Agreement so that we operate as a processor on your behalf, with sub-processor terms that meet Article 28 GDPR safeguards. HIPAA-ready deployments are available on the Organization tier, alongside private-cloud deployment, full data isolation, SSO, and a dedicated account manager. Contact [email protected] for compliance documentation and DPA requests.

Yes. You can permanently delete all of your data, including conversations, Sources, attachments, profile, feeds, and connected integrations, from inside the app. The deletion is irreversible and propagates across our caches. As a GDPR-protected user you also have the right to access, rectify, restrict, port, or object to the processing of your personal data; contact [email protected] to exercise any GDPR right.