Against a backdrop of volatility in the US that has left many biotechs struggling to secure private funding this year, Enveda and its $150-million series D stands out — not only because the financing values the company at over $1 billion, but also because it's the Colorado-based firm's second megaround of the year. The oversubscribed round, led by Premji Invest, comes on the heels of Enveda's $150-million series C, which closed in February with a $20-million contribution from Sanofi. Bringing the biotech's total funding to $517 million, Thursday's raise also saw participation from new and existing investors including Baillie Gifford, Kinnevik, Lingotto Investment Management, Peakline Partners, FPV, Socium Ventures, Dimension, Level Ventures, Henry Kravis, IA Ventures and Lux Capital.The fresh capital will help advance Enveda's lead candidate, ENV-294, through a Phase Ib trial for atopic dermatitis, and launch a slew of additional clinical studies for its pipeline programmes across asthma, inflammatory bowel disease and obesity, among other diseases. Reading nature's blueprintSo what's inspiring investors to pour cash into Enveda — and has attracted Pfizer's former chief scientist, Mikael Dolsten, to its board? "Our foundational thesis and technology, centred on leveraging nature's chemistry for accelerated drug discovery, is proving highly fertile," Enveda founder and CEO Viswa Colluru told FirstWord. The company has built what it says is the world’s largest — and searchable — library of plant-derived molecules. Enveda first catalogued 38,000 plants linked to 12,000 human diseases and symptoms, then used that database to find more plants likely to contain therapeutically relevant molecules. By combining mass spectrometry with machine learning algorithms, it was able to catalogue all molecules in these plants."Nature is the most prolific chemist, having generated the largest and most biologically relevant chemical library known," Colluru said. "Many cornerstone medicines, from aspirin to metformin, trace their roots to this evolutionary intelligence. The challenge has always been that isolating and identifying individual natural compounds that have drug-like potential is slow, labor-intensive, and often unsuccessful."Instead of painstakingly isolating molecules one by one, Enveda's AI- and robotics-powered platform enables the rapid profiling of complex mixtures to predict their chemical structures, and then maps them to biological effects. "This allows us to access nature’s vast, untapped chemistry at unprecedented speed and scale," Colluru added.A major accelerant for Enveda is its AI platform, which he said "is a very different use of AI in drug discovery.""While most [AI] efforts focus on using biological datasets to discover new targets, our platform starts with the world’s most powerful chemical library. Once we observe interesting biological activity, we let evolution teach us the biology, just as aspirin taught us about inflammation rather than the other way around," Colluru said. "In other words, we bring together evolutionary intelligence and artificial intelligence — nature provides the blueprint, and AI gives us the tools to read it — to develop better medicines, faster."The pace of the company's R&D is certainly undeniable. Just five years after its seed financing, the company has moved its lead programme into proof-of-concept testing, when it typically takes biotechs more than seven years to bring their first new chemical entity into Phase I testing. Plus, Enveda has been working on its preclinical portfolio in parallel, which now boasts sixteen programmes, more than a dozen development candidates and four assets in IND-enabling studies.And with a fresh $150 million in-hand, Enveda is keeping its foot on the gas. "This raise allows us to double down on our progress to date over the next several years," Colluru said. "In the coming months, we anticipate significant progress with our lead asset for eczema as it advances further in clinical trials. Its novel mechanism is also being explored for other inflammatory diseases like asthma. Additionally, we expect to move two other first-in-class assets into clinical trials."