Arca

Arca for Academics

The cited research platform that life sciences and regulatory teams use in industry, set up for the classroom. Students research and draft with a source behind every claim.

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 research platform industry teams use, so they graduate having used it on real guidance, literature, and submission formats.

Use cases

Built for the work regulatory science
programs already run

Arca does the research and first drafts for literature reviews, journal club, and submission exercises.

Research with primary sources

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

Cited drafts

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

Course knowledge bases

Put a course's readings, protocols, and datasets in one workspace the class can query all semester.

Shared threads

Share threads and workflows across labs, journal clubs, and capstone teams, so the next group starts from the last group's work.

Regulatory workflows

Practice on the submission and review workflows students will use after graduation: INDs, 510(k)s, and CSRs.

AI practice for industry

Graduate knowing how to check AI output against its sources, as industry teams do.

Platform

Research and draft from the reading list

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. Answers link to the 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

Students, faculty, and administrators

Students do the research, faculty teach it, and administrators decide how AI is used on campus. Arca for Academia is set up for all three.

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 that shows the source behind every answer.
  • Design assignments that connect coursework to real regulatory and scientific practice.
  • Decide where AI fits in a regulatory science curriculum.

For administrators

Adopt AI on your institution's terms

  • Roll out one vetted platform instead of several 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; students do not subscribe 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