Redica Systems

Quality and regulatory intelligence platform built on agency inspection and enforcement data.

Redica Systems, founded in 2010 as FDAzilla and headquartered in Pleasanton, California, provides a quality and regulatory intelligence platform that aggregates and structures agency data — inspection records, 483s, warning letters, and enforcement trends — so quality and regulatory teams can benchmark sites, prepare for inspections, and track regulator focus areas. The company raised a Series B round and applies machine learning and NLP to normalize and enrich its document corpus.

Headquarters
Pleasanton, United States
Founded
2010
Deployment options
cloud
Website
https://redica.com
LinkedIn
https://www.linkedin.com/company/redicasystems

Categories

Vendor Scorecard

50% — Partial coverage. Coverage score — how completely Atlas documents Redica Systems across 7 buyer-evaluation areas. Reflects available Atlas data, not solution quality.

Compliance & Validation — Not documented by Atlas

Ask the vendor: Which compliance certifications (HIPAA, 21 CFR Part 11, SOC 2, GxP) do you hold?

Deployment & Hosting — Documented

cloud

Pricing Transparency — Not documented by Atlas

Ask the vendor: What is your pricing model, and what drives total cost of ownership?

Implementation & Onboarding — Not documented by Atlas

Ask the vendor: What is a realistic implementation timeline, and what onboarding support is included?

Organization & Role Fit — Documented

Mid-Size Biotech, Large Pharma, Top 20 Pharma, Regulatory Affairs

Solution Scope — Documented

Natural Language Processing

Company Viability — Partially documented

Series B, Founded 2010

Always ask the vendor

Not captured in Atlas data — confirm directly. Excluded from the score above.

Data Rights & IP

Who owns model outputs? Is our proprietary data used to train models others can access, and where does our data reside?

Model Credibility & Explainability

Can you share validation studies or benchmarks, explain how the model reaches its conclusions, and describe how bias and drift are monitored?

Questions to Ask This Vendor

  • Which agencies and document types are covered, and how complete is historical coverage?
  • How fresh is newly released inspection data on the platform?
  • How are documents enriched and classified, and what is the error-correction process?
  • What does benchmarking look like for our site network or supplier base?