Alomana

Enterprise multi-agent AI platform (Alo) with named life-sciences use cases including pharmacovigilance signal detection.

Alomana, founded in 2024 and headquartered in Milan, Italy, offers Alo, an enterprise platform for building and deploying AI agents across verticals including finance, manufacturing, and life sciences, with named pharma use cases such as AI agents for pharmacovigilance signal detection. As a horizontal agentic-AI platform rather than a purpose-built safety system, validate the depth of PV-specific functionality and any GxP or security evidence during evaluation. The company has raised a seed round.

Headquarters
Milan, Italy
Founded
2024
Deployment options
cloud, private-cloud
Website
https://alomana.com
LinkedIn
https://www.linkedin.com/company/alomana

Categories

AI Use Cases

  • Signal Detection & Aggregate Reporting

Vendor Scorecard

50% — Partial coverage. Coverage score — how completely Atlas documents Alomana 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, private 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, Pharmacovigilance, IT / Digital

Solution Scope — Documented

Adverse Event Detection, Natural Language Processing

Company Viability — Partially documented

Seed, Founded 2024

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 deep is the PV signal-detection functionality versus a general agent?
  • What GxP and security evidence can be provided for regulated use?
  • How are agent outputs validated and audited?
  • How does Alo integrate with our existing safety systems?