lexoro

Intelligent-automation vendor for regulated life-sciences workflows, with a named solution for automated PSUR and post-market surveillance report creation.

lexoro (lexoro GmbH), founded in 2017 with its operating base in Mannheim, Germany (registered in Munich), builds intelligent-automation and AI solutions for regulated industries spanning regulatory affairs, quality, and post-market surveillance, including an automated PSUR and PMSR report-creation offering. It is a small team (roughly 11–50). No third-party security certifications were documented on public pages at profiling time — request GxP and security evidence for validated use.

Headquarters
Mannheim, Germany
Founded
2017
Deployment options
cloud
Website
https://lexoro.ai
LinkedIn
https://www.linkedin.com/company/lexoro

Categories

AI Use Cases

  • Signal Detection & Aggregate Reporting

Vendor Scorecard

50% — Partial coverage. Coverage score — how completely Atlas documents lexoro 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, CRO / CDMO, Pharmacovigilance, Regulatory Affairs

Solution Scope — Documented

Natural Language Processing, Regulatory Submission Authoring

Company Viability — Partially documented

Founded 2017

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

  • How is the PSUR/PMSR automation validated and human-reviewed?
  • What security and GxP evidence can be provided?
  • How does the tool integrate with our safety database?
  • What is the accuracy and audit trail for AI-generated report sections?