AutoBio structures mechanistic data, pathways, targets, and signaling cascades into clear MoA narratives that align biology with therapeutic intent. The platform ensures consistency between mechanism, disease rationale, and downstream claims.

Experts refine how the mechanism is explained — deciding level of detail, sequencing, and emphasis for different audiences. This ensures scientific accuracy while making complex biology intelligible and persuasive.

Typical Outputs

• Mechanism of action narrative (long + short forms)

• MoA visual logic map / pathway explanation

• Audience-specific MoA explanations (expert vs non-expert)

• Mechanism claim substantiation matrix

• MoA consistency reference across materials

Primary Users

• Medical Affairs leaders defining the scientific foundation across programs

• R&D and Translational Science teams aligning biology to development strategy

• Clinical and Regulatory stakeholders ensuring claims remain credible over time

• Executive leadership aligning science, pipeline, and product narratives