Congratulations to the @fal team on the Series C announcement! 🦄 From MLops to becoming the backbone for accelerating GenAI inference, the journey has been remarkable. This team ships fast and works around the clock for their customers. So proud and lucky to have been an angel https://t.co/oT19vShWox
Congrats to FAL! FAL has an amazing team (@burkaygur @gorkemyurt @isidentical are awesome) and it's been great to watch them grow over the past few years into an incredible company. Extremely bullish! https://t.co/ud0ZtMpD5n
.@FAL Co-Founder @gorkemyurt on his generative AI company's explosive growth after raising $125 million: "We are approaching $100 million run rate. I think we closed July at close to 95." "Last year, around this time, I think it was a couple million." Watch the full episode https://t.co/Ew64wdHQwL
Enterprise spending on large-language-model application programming interfaces more than doubled to $8.4 billion in the first half of 2025, according to a mid-year survey of 150 corporate technology leaders by venture firm Menlo Ventures. The report shows Anthropic capturing 32% of enterprise usage, overtaking OpenAI, which now holds 25% after commanding half the market two years ago. Google’s Gemini models are third with 20%. Anthropic’s surge is tied to its Claude 3.5 and 3.7 Sonnet releases and to exploding demand for code generation, where the company controls 42% of workloads—twice OpenAI’s share. Enterprises continue to favor closed, proprietary models; only 13% of daily workloads use open-source alternatives, down from 19% six months ago, the survey found. Riding that wave of enterprise adoption, generative-infrastructure provider FAL closed a $125 million Series C round at a $1.5 billion valuation led by Meritech Capital, with existing backers such as Andreessen Horowitz re-upping. Co-founder Gorkem Yurtseven said the company ended July at roughly a $95 million annual revenue run rate, up from “a couple million” a year earlier. FAL’s Generative Media Cloud is used by more than two million developers and over 300 enterprises to create billions of AI-generated assets each month. The company plans to use the new capital to expand capacity for real-time inference—an area Menlo Ventures says now accounts for the majority of compute spend among both startups and large corporations.