SF AI Startups Raise Over $150M

- Braintrust's Series B funding was led by ICONIQ, with participation from existing investors like Andreessen Horowitz and Greylock, and will be used to expand its engineering teams. Its AI observability platform is used by companies like Notion, Replit, and Cloudflare to monitor and ensure the reliability of AI models in production. - Cogent Security's Series A was led by Bain Capital Ventures and included personal investments from founders and executives at OpenAI, Abnormal Security, and Datadog. The company, founded in 2024, plans to triple its 37-person team in the next year to scale its AI-powered platform that automates the remediation of software vulnerabilities. - Kana's seed round was led by Mayfield, and the company was co-founded by Tom Chavez and Vivek Vaidya, who previously founded and sold two other marketing technology startups, Rapt to Microsoft and Krux to Salesforce. The new capital will be used to scale the engineering team to enhance its framework of "loosely coupled" AI agents that marketers can customize for tasks like audience segmentation and data analysis. - Daffodil Health's funding round was led by Flare Capital Partners and will help the company displace incumbent vendors that use an opaque "percentage-of-savings" model. The company uses AI and large language models to automate claims processing and out-of-network pricing for health plans, providing a more transparent SaaS model. - Sift Biosciences, a UC Berkeley spinout, was co-led by Lifespan Vision Ventures and Freeflow Ventures. The company is using its AI-powered discovery engine to identify microbial analogs of tumor-associated epitopes to activate memory T-cells, initially targeting "cold" solid tumors like colorectal and ovarian cancers. - The recent funding rounds align with a broader trend in the Bay Area, which has attracted over $200 billion in AI funding since 2020, with corporate investors like Amazon, Google, and Microsoft now accounting for 40% of the total. - For engineers weighing career options, AI startups often provide broader roles where one might handle MLOps, model deployment, and data acquisition, fostering rapid skill growth. In contrast, big tech companies typically offer higher base salaries, more stability, and structured career progression within specialized roles. - The application of AI in consumer and social products is expanding, with companies using it for hyper-personalized marketing, dynamic content recommendations, and AI-powered chatbots for 24/7 customer service.