The research platform built for food science academia

Alchemyst Academic is the research-focused tier of the Alchemyst AI platform, purpose-built for food scientists, nutritionists, and academic researchers whose work demands rigorous engagement with scientific literature, regulatory evidence, and evidence-based formulation decisions. It is designed for professionals who need more than a general AI assistant — a system that understands food science methodology, can process peer-reviewed papers, track emerging research, and produce citation-ready outputs aligned with academic standards.

Paper Analysis allows you to upload scientific papers, systematic reviews, meta-analyses, technical reports, and regulatory opinions directly into Alchemyst. Once uploaded, the AI reads and indexes the full document and allows you to query it in plain language. You can ask it to summarise key findings, explain statistical methods, identify study limitations, extract specific data points (such as dosage thresholds or biomarker outcomes), compare the methodology against study design standards, and generate a properly formatted citation — all without manually reading every page.

Alchemyst generates properly formatted citations for any paper you upload or reference, including DOI links where available. It supports APA 7, MLA 9, Chicago, Vancouver, and AMA citation styles. When the AI draws on a specific paper to answer a question, it clearly attributes the source — so you always know which evidence underpins a given recommendation. This traceability is essential for researchers who need to verify every claim in an academic or regulatory context.

Alchemyst significantly accelerates the evidence extraction and synthesis phases of a systematic review. For each paper you upload, the AI can extract PICO elements (Population, Intervention, Comparison, Outcome), summarise methodology, identify bias risks, and extract quantitative results. Across multiple papers, it can help you identify convergent findings, contradictions between studies, and research gaps. While Alchemyst does not replace the protocol registration and PRISMA reporting framework required for a publishable systematic review, it dramatically reduces the manual effort of data extraction and summary writing.

Yes. The Paper Analysis assistant is trained to evaluate research methodology in the context of food science standards. You can ask it to assess study design (RCT, cohort, cross-sectional, in vitro), sample size adequacy, control conditions, confounding variables, and statistical methods (ANOVA, regression, Kaplan-Meier), and whether the authors' conclusions are supported by their data. This is particularly useful when evaluating whether a paper provides sufficient evidence to support a structure/function claim or an ingredient efficacy argument.

Yes. Alchemyst is well-suited to both thesis and grant preparation. For thesis research, it accelerates systematic literature reviews, helps identify research gaps, and formats citations correctly. For grant proposals — including EU Horizon partnerships and USDA NIFA applied research grants — the platform helps researchers rapidly survey the current state of evidence, synthesise prior findings into a scientific rationale, and articulate the practical application pathway of proposed food science research.

All AI-assisted content should be reviewed and verified by the researcher before submission, consistent with academic integrity standards.

Study Alerts is a research monitoring feed that surfaces new publications, clinical trial registrations, and industry news across three curated channels: NLM (NLM Bulletin and Circulating Now), Clinical Trials (Gut Health Trials, Food Allergy Trials, and Recent Trials), and Industry News (FoodNavigator and NutraIngredients). Each channel refreshes automatically so you stay current with developments relevant to food science R&D without maintaining separate manual search alerts.

The feed draws from three source categories: NLM provides NLM Bulletin updates and the Circulating Now blog covering NIH Library news; Clinical Trials tracks newly registered gut health trials, food allergy trials, and a broader recent trials feed from ClinicalTrials.gov; Industry News aggregates coverage from FoodNavigator and NutraIngredients. All content surfaces inside the platform so you can move directly from a headline to a Paper Analysis or advisory chat without leaving your workspace.

Yes. The Spaces & Projects feature allows research teams to create shared project environments where uploaded papers, conversation histories, and research notes are accessible to all team members. This is particularly useful for multi-investigator research projects, joint industry-academic collaborations, or research groups where multiple people are conducting literature review work simultaneously. Knowledge captured by one researcher is immediately accessible to the whole team.

Yes. Alchemyst is built on enterprise-grade infrastructure with data encryption at rest and in transit. Documents you upload — including unpublished manuscripts, confidential trial data, or proprietary formulation research — are stored in your isolated organisational environment and are never used to train shared AI models or made accessible to other users. For academic researchers working under institutional data governance policies or industry partnership NDAs, this architectural approach ensures that sensitive research material remains under your control.

Yes. Alchemyst works with academic institutions and research organisations to find access models that fit their workflows. Whether you are a solo researcher, a multi-investigator lab, or a university department looking to deploy the platform across a research group, the team at Alchemyst can scope an appropriate arrangement. The Academic tier at $19/month (or $15/month annually) is specifically priced for students and researchers — a verified .edu email address is the only requirement. Contact contact@alchemyst.one to discuss institutional access.