Compliance & Validation — Not documented by Atlas
Ask the vendor: Which compliance certifications (HIPAA, 21 CFR Part 11, SOC 2, GxP) do you hold?
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.
50% — Partial coverage. Coverage score — how completely Atlas documents Alomana across 7 buyer-evaluation areas. Reflects available Atlas data, not solution quality.
Ask the vendor: Which compliance certifications (HIPAA, 21 CFR Part 11, SOC 2, GxP) do you hold?
cloud, private cloud
Ask the vendor: What is your pricing model, and what drives total cost of ownership?
Ask the vendor: What is a realistic implementation timeline, and what onboarding support is included?
Mid-Size Biotech, Large Pharma, Pharmacovigilance, IT / Digital
Adverse Event Detection, Natural Language Processing
Seed, Founded 2024
Not captured in Atlas data — confirm directly. Excluded from the score above.
Who owns model outputs? Is our proprietary data used to train models others can access, and where does our data reside?
Can you share validation studies or benchmarks, explain how the model reaches its conclusions, and describe how bias and drift are monitored?