Forensic AI visibility research, recommendation intelligence, and interpretability diagnostics for regulated markets. Published under the AIVI™ v5.0 framework.
"WeSimplifAI's mission is to build the interpretability infrastructure layer of the AI-mediated economy — ensuring that the best entities in regulated markets can be seen, understood, and recommended by the machine systems now making selection decisions."
The first report in the WeSimplifAI Intelligence Series — a forensic benchmark of AI recommendation behavior across the Indian MedTech sector.
How AI systems select, interpret, and recommend Indian MedTech companies across high-intent procurement workflows. Across 20 structured prompts on five leading AI platforms, a consistent structural pattern emerges: global incumbents dominate recommendation outputs while Indian innovators with demonstrably strong clinical records operate under systematic interpretability infrastructure gaps.
The WeSimplifAI Intelligence Series covers regulated markets where AI-mediated decision flows are reshaping competitive dynamics. Each Index is a forensic simulation exercise across five AI platforms.
Three intelligence layers. Each answers a distinct question about an entity's position inside AI-mediated decision systems.
WeSimplifAI Intelligence publications establish sector-level context. Private AIVI™ engagements deliver forensic, company-specific interpretability diagnostics — and build the infrastructure to close the gap.
Explore AIVI™ Engagements →Every WeSimplifAI Intelligence publication adheres to a consistent research methodology. Findings are interpretive, simulation-based, and directional — not audited measurements.