Coframe raises $25 million Series A, co-led by Khosla, for AI that rebuilds websites and ads as it tests them

Nov 9, 2026
Coframe raised $35 million in total funding, including a $25 million Series A co-led by Khosla Ventures and Hanabi Capital. Its AI system generates, tests and deploys variations of websites, landing pages and ads.

Coframe raised $35 million in total funding, including a $25 million Series A co-led by Khosla Ventures and Hanabi Capital, the company said in a press release. The round also included participation from individuals at OpenAI, Anthropic and Google DeepMind.

Coframe provides AI agents that generate, test and deploy variations of websites, landing pages and ads. The system includes agents for strategy, design, software engineering, quality assurance and data analysis, supported by a transformer model trained on user interactions.

The company says its platform has generated more than $300 million in additional revenue for customers and improved conversion rates by more than 20% on average. Customers include Dropbox, BCG, Block, Backcountry and Sur La Table; it cites conversion gains of 158% at Dropbox, 410% at Replit and 60% at Cash App.

Coframe is also working with OpenAI on ChatGPT ads, connecting ad optimization with landing page testing. The company plans to expand its system to applications, email and other digital experiences.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like AI Funding Brief, Sales & Marketing AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

AI Funding Brief

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.