Andy AI vs Isomorphic Labs

What users praise

• • Ambient scribing captures visits and auto-generates clinical notes.
• • Built-in QA flags OASIS errors and cross-checks hospital records.
• • PDGM coding engine suggests optimal ICD-10 codes and risk adjustments.
• • Generates medication lists and wound documentation automatically.

What frustrates them

• • Almost no real user feedback to validate claims.
• • Pricing is hidden behind a sales call.
• • Human review may slow down note turn-around times.
• • No publicly available integrations list or platform compatibility.

What users praise

• • Built on the Nobel-winning AlphaFold, giving it instant credibility in structural biology.
• • Drug Design Engine extends beyond structure to generative molecule design, promising novel chemistry.
• • Deep partnerships with Novartis and J&J, with potential billions in royalties.
• • Interdisciplinary team of top ML and drug discovery experts, ensuring depth of expertise.

What frustrates them

• • Not accessible to individual researchers or small biotech due to partnership model only.
• • Proprietary nature of parts of its tech limits community scrutiny and independent validation.
• • CASP16 results suggest AlphaFold 3-based models aren't always better than older methods for protein-ligand interactions.
• • No marketed drugs yet; outcomes remain uncertain with royalties tied to long timelines.