Arca

Arca for Academics

Arca brings the same cited, agentic research platform life sciences and regulatory teams use in industry into the classroom — so students learn to ask sharper questions, ground every claim, and draft like the professionals they're becoming.

Coverage

Grounded in the primary sources of regulatory science

FDA
EMA
ICH
ClinicalTrials.gov
PubMed
eCFR
Federal Register
WHO
Cochrane Library
DailyMed
Explore all data sources →
Mission

Keep rigor at the center of AI in the classroom

Arca for Academia gives life sciences and regulatory science students the same grounded, citation-first research platform used by industry teams — so they graduate fluent in the tools of modern regulatory and scientific work, not just the theory behind them.

Use Cases

Built for the work regulatory science
programs already run

From literature review to journal club to submission workflows — Arca handles the research and drafting that slows students and faculty down.

Grounded Research

Research FDA, EMA, and ICH guidance the way regulatory teams do — every answer traced to a primary source a student can open and check.

Citation-First Writing

Draft literature reviews, case briefs, and lab reports with citations pinned to source, so students learn to substantiate every claim.

Course Knowledge Bases

Bring a course's readings, protocols, and datasets into one grounded workspace a class can query all semester.

Cohort Collaboration

Share threads and workflows across labs, journal clubs, and capstone teams so research builds on itself instead of starting over.

Regulatory Workflows

Practice against the same submission and review workflows — INDs, 510(k)s, CSRs — that students will work with after graduation.

Career-Ready Fluency

Graduate knowing how to work with agentic AI rigorously and safely, not just how to prompt it.

Platform

From Reading List to Research-Ready

Study and draft with an AI research assistant grounded in primary sources

A

Summarize the FDA's current CMC guidance for gene therapy products.

Fall_Seminar_Readings.pdf
Notes

FDA Guidance — Gene Therapy CMC (2024)

Upload readings and ask questions in plain language, with answers traced directly to source.

A

Finished in 1 step

Literature Review Outline — CRISPR Delivery Systems

(1) Current Delivery Mechanisms

  • Lipid nanoparticles remain the dominant non-viral vector for in vivo editing. Hou et al., 2021.
  • AAV capsid engineering continues to reduce immunogenicity across repeat dosing studies.

Prepare for seminar and journal club with grounded outlines and suggested discussion points.

Vault /

Regulatory Science

Filter Add file
#File Name
1 FDA Guidance — Gene Therapy CMC

Build a course knowledge base from readings, protocols, and datasets that a class can query all semester.

Program

One platform, three audiences

Arca for Academia is built to work for everyone a program touches — the students doing the research, the faculty teaching it, and the administrators responsible for how AI shows up on campus.

For Students

Study and research like a working scientist

  • Brainstorm, outline, and draft papers and case write-ups with citations linked to source.
  • Prepare for seminar discussion and journal club with grounded summaries of the literature.
  • Build study guides and fact sheets from a semester's readings in one place.

For Faculty

Bring AI into the classroom without losing rigor

  • Give students a research tool built for traceable citations, not shortcuts.
  • Design assignments that connect coursework to real regulatory and scientific practice.
  • Set the standard for where AI belongs in a regulatory science curriculum.

For Administrators

Adopt AI on your institution's terms

  • Roll out a single, vetted platform instead of a patchwork of consumer AI tools.
  • Single-tenant deployment and audit trails keep student and research data governed.
  • Scale training and access as the program grows, with visibility across departments.
FAQ

Common questions

Is Arca for individual students or for institutions?
Arca for Academia is deployed at the institution or department level — a program, lab, or school gives its students and faculty access, rather than students subscribing individually.
Does Arca use student or research data to train AI models?
No. Arca does not use customer data, including student work or research data, to train general-purpose machine learning models.
Can Arca be used for admissions decisions or grading?
No. Arca is a research and drafting assistant. It is not intended for, and should not be used for, determining admissions, assigning grades, or monitoring individual student performance.
Does Arca's output constitute legal, medical, or regulatory advice?
No. AI-generated outputs are provided for informational and assistive purposes only. Students and faculty remain responsible for reviewing, verifying, and citing any output correctly.
How do we bring Arca to our program?
Request a demo above, or email contact@arca.incand we'll set up a pilot with your department, lab, or research center.

Bring Arca to your program

Talk to us about piloting Arca with your department, lab, or research center.

or email contact@arca.inc