Conus

Conus positions itself as the 'AI knowledge layer for surgery,' designed to bridge the information gap between medical device manufacturers and hospitals. Its functionality is built around integrating three key data streams: Product Information (structured specs and technical data from manufacturers like Johnson & Johnson, Stryker, and Zimmer Biomet), Hospital Protocols (standard operating procedures), and Medical Research (clinical data and literature). Leveraging generative AI and agentic AI, Conus processes complex medical contexts to extract critical insights rapidly. Its core value proposition is 'connection'—embedding this knowledge layer directly into the daily workflow of surgeons and sales representatives via API or integration, rather than functioning as a standalone web app. This allows users to retrieve answers, compare implants, and access protocols within their existing tools.

Conus's use cases are highly specialized, primarily within orthopedics and trauma surgery. For clinical surgeons, the typical scenario involves pre-operative preparation or intra-operative decision-making. When a doctor needs to verify the compatibility of a specific implant with a surgical plan or check the latest clinical research, Conus can provide cross-manufacturer comparisons in seconds, reducing manual lookup time. For medical sales representatives, Conus acts as a powerful mobile assistant. During hospital visits, when facing complex clinical questions or needing to recommend specific products, sales reps can use the tool to quickly match product information with hospital protocols, enhancing communication efficiency. Additionally, its long-term vision to become an 'Amazon for implants' suggests a future where hospitals can select and order implants from all manufacturers on a single platform, embedded directly into the surgical workflow.

Based on available information, Conus appears to be delivered via an 'embedded' or 'API integration' model rather than a direct-to-consumer SaaS. This implies that developers or hospital IT departments must integrate it into existing medical workflows or internal systems. The founding team—PhD researchers from ETH Zurich with backgrounds in Generative AI, Industrial Engineering, and Biomedical Electronics—suggests a robust technical foundation. However, the barrier to entry is significant. First, the tool explicitly requires medical industry specific qualifications, ensuring data security and regulatory compliance. Second, its functionality is focused on orthopedics, making it less relevant for non-orthopedic fields. The 'getting started' experience relies on deep integration; while this offers a seamless 'invisible' experience, it requires users to adapt their existing workflows to accommodate the new layer of AI assistance.

No specific pricing information is publicly available. Given its target clientele of medical device giants and hospitals, it is highly likely that Conus operates on a B2B enterprise subscription or custom development model. It is probable that individual developers or small startups cannot directly purchase this service. Interested parties should consult the official website or contact the sales team for detailed quotes, particularly to assess if the specialized orthopedic features justify the cost for non-orthopedic users.

Conus is a deeply specialized AI medical tool that avoids the trap of being a 'jack-of-all-trades.' Instead, it targets a specific pain point in medical information management with high precision. Its strength lies in its ability to synthesize vast amounts of disparate data (products, protocols, research) and its elite technical team. While public information is scarce and the focus is narrow, its embedded interaction model and data-connecting vision make it a compelling tool for orthopedic professionals and device manufacturers looking to streamline their operations.