Bring Arca to your life sciences team.
Arca

AI for Life Sciences Research

Research faster across scientific and medical literature, clinical evidence, and global regulatory sources.

Source-cited answersSOC 2 Compliant

Cited research across authoritative sources

Medical

ClinicalTrials.gov

Cochrane Library

World Health Organization

Scientific

PubMed

bioRxiv

Springer Nature

Regulatory

U.S. FDA

European Medicines Agency

ICH

View all data sources

Empowering every life sciences team

Medical Affairs

Turn literature, clinical guidelines, and competitor evidence into cited answers for scientific exchange and evidence planning.

  • Medical information
  • Evidence planning
  • Congress prep

Regulatory Affairs

Trace agency guidance, approvals, labels, and precedent to support submissions and regulatory strategy.

  • Precedent research
  • Label comparisons
  • Submission support

Pharmacovigilance

Investigate adverse-event patterns, safety signals, label changes, and supporting literature across products.

  • Signal validation
  • Case context
  • Safety surveillance

R&D

Map mechanisms, targets, trials, endpoints, and competitive programs to guide portfolio and development decisions.

  • Target research
  • Trial landscapes
  • Competitive intelligence

What people ask it

Questions that take a specialist an afternoon across four databases, answered with every claim linked to the document it came from.

Regulatory affairs

  • Which 510(k)s cite this device as a predicate, and what did FDA say about substantial equivalence?
  • Has FDA ever accepted this surrogate endpoint in our indication, and in which approvals?
  • What deficiencies has this review division raised in Complete Response Letters for similar products?
  • How does our proposed labelling differ from the approved labelling of the reference product?

Medical affairs

  • What does the published evidence say about this off-label use, and how strong is it?
  • Which guidelines cite this trial, and what did they conclude from it?
  • What has been presented on this mechanism at congress in the last two years?

Pharmacovigilance

  • Are adverse event reports for this class trending, and against what exposure?
  • Which label changes followed the safety signal we are investigating?
  • What does the literature say about this event as a class effect rather than a product effect?

Research and development

  • Which trials are recruiting against this target, with what endpoints?
  • What has failed in this indication, and at which phase did it fail?

Try the underlying data first

The same FDA sources, searchable without an account. No signup, and nothing you type is stored.

Frequently asked questions

What sources does Arca Research search?
Regulatory sources including FDA, EMA and ICH, clinical sources including ClinicalTrials.gov and the Cochrane Library, and scientific literature including PubMed, bioRxiv and Springer Nature, across more than 80 sources in total.
How is this different from asking a general AI model?
Every claim is cited to the source document it came from, and the sources are the primary record rather than whatever the model absorbed in training. You can open the citation and check it, which is the difference between an answer you can file and one you cannot.
Can I check the answers?
Yes. Each statement links to the passage it came from, so verification is one click rather than a separate search. That is the point: an uncheckable answer is not usable in regulatory work.
Is my data used for training?
No. Arca is SOC 2 Type II certified with zero data retention: prompts, documents and outputs are deleted after each request and never used for training.
Do I need an account to try it?
Arca Research asks for an email address. The FDA database tools, covering 510(k) clearances, device identifiers and Complete Response Letters, need no account at all and store nothing you type.
Which teams use it?
Regulatory affairs for precedent and label comparisons, medical affairs for evidence and scientific exchange, pharmacovigilance for signal investigation, and R&D for target and competitive research.