The evolution of clinical decision support systems (CDSS) has reached a critical inflection point where traditional reference models are being supplanted by agentic, multi-model architectures. At the center of this transition is OpenEvidence, a platform that has ascended to a $12 Billion valuation in less than a year of public operations. This rapid scaling is fundamentally a response to the "human problem" identified by the platform’s founder, Daniel Nadler: the exponential

The contemporary landscape of American healthcare is characterised by a paradoxical tension between the exponential growth of medical knowledge and the diminishing temporal capacity of the clinical workforce to synthesize and apply that information. As of early 2026, the doubling time of medical knowledge has plummeted to approximately 73 days, creating a cognitive environment where a physician graduating today will experience several doublings of the global medical knowledge

The global financial landscape in the first quarter of 2026 underwent a profound transformation, characterised by an aggressive re-rating of software valuations and a critical interrogation of the artificial intelligence investment cycle. By late February 2026, the North American Tech Software Index had declined approximately 30% from its mid-September 2025 peak, a volatility primarily driven by the emergence of autonomous "agentic" tools capable of automating high-level cogn

OpenEvidence entered 2026 on an extraordinary growth arc. In January 2026, the Miami-based company closed a $250 Million Series D led by Thrive Capital and DST Global, doubling its valuation to $12 Billion, up from $6 Billion just three months earlier. The round brought total funding raised over the prior 12 months to nearly $700 Million, with backers including Sequoia Capital, Google Ventures (GV), Nvidia, Kleiner Perkins, Craft Ventures, Coatue, Blackstone, ICONIQ, Mayo Cl