Baseten Scores $150 Million Series D

<p><strong>SAN FRANCISCO<&sol;strong> &&num;8212&semi; Baseten&comma; the company powering inference for the world’s fastest-growing AI products&comma; has secured a &dollar;150 million Series D fundraise at a &dollar;2&period;15 billion valuation&period; The round was led by BOND&comma; with participation from new investors CapitalG&comma; Premji&comma; and Kevin and Elizabeth Weil of Scribble&period; Existing investors Conviction&comma; 01a&comma; IVP&comma; Spark&comma; and Greylock also participated&period; This new round of funding brings Baseten’s total capital raised to over &dollar;285 million&period;<&sol;p>&NewLine;<p>This fundraise arrives as AI adoption accelerates across sectors&comma; with applications scaling to millions of users in a matter of months&period; At the center of this surge is inference&comma; the process of running the AI models that power these products and applications&period; Inherently tied to all AI application revenue&comma; the over &dollar;100 billion inference market represents one of the largest and fastest-growing in history&period; In the past year alone&comma; customers including Abridge&comma; Captions&comma; Clay&comma; OpenEvidence&comma; and Writer have used Baseten to power products generating billions of dollars of revenue across industries&period;<&sol;p>&NewLine;<p>&OpenCurlyDoubleQuote;If cloud was the foundation that enabled the latest generation of great technology companies&comma; inference is the foundation for the next&comma;” said Tuhin Srivastava&comma; Co-founder and CEO of Baseten&period; &OpenCurlyDoubleQuote;Every breakout AI application depends on fast&comma; reliable&comma; and cost-effective inference&comma; the same way the last 15 years of companies depended on the cloud&period; Baseten makes that possible&period; In the same way Stripe became an index of the internet economy&comma; Baseten will become an index of the AI economy&period;”<&sol;p>&NewLine;<p>Baseten’s platform is purpose-built for inference&comma; delivering the performance&comma; cost efficiency&comma; and scalability that modern AI applications demand&period; By uniting applied AI research&comma; flexible infrastructure&comma; and seamless developer tooling&comma; Baseten enables companies operating at the frontier of AI to bring cutting-edge models into production&period; As firms become increasingly more demanding around the performance&comma; reliability&comma; and economics of their AI products&comma; Baseten’s Inference Stack has quickly become a cornerstone for hypergrowth AI companies&period;<&sol;p>&NewLine;<p>&OpenCurlyDoubleQuote;At Clay&comma; we use Baseten to power our AI experiences because it gives us the speed&comma; scale&comma; and reliability we need&comma;” said Kareem Amin&comma; co-founder and CEO of the AI GTM platform&comma; Clay&period; &OpenCurlyDoubleQuote;The impact has been transformative&period; We launch new AI capabilities faster&comma; with higher quality&comma; and with the confidence they’ll perform for our customers&period; Baseten isn’t just infrastructure for us&comma; it’s a critical piece of how we deliver the next generation of AI-powered GTM&period;”<&sol;p>&NewLine;<p>&OpenCurlyDoubleQuote;At Abridge&comma; our mission is to power deeper understanding in healthcare by transforming medical conversations into clinically useful and billable documentation in real time&comma;” said Dr&period; Shiv Rao&comma; CEO and Co-founder of Abridge&period; &OpenCurlyDoubleQuote;Delivering on that promise requires inference that is both fast and trustworthy&period; Baseten supports our mission with infrastructure that scales safely across health systems&period; It is an important component of our technology stack&comma; which is trusted by tens of thousands of clinicians to generate more than a million clinical notes every week&period;”<&sol;p>&NewLine;<p>With the Series D funding&comma; Baseten plans to scale its team and product to meet accelerating customer demand&period; The company will double down on investing in model performance research&comma; infrastructure&comma; and developer tooling while also expanding its customer teams&period; These efforts will help the fastest-growing AI companies deliver reliable&comma; high-performance products at scale&period;<&sol;p>&NewLine;

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