Funding

Coframe Raises $25M Series A, Bringing Total Funding to $35M

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Coframe announced on November 9, 2026 that it had raised $35 million in total funding, including a $25 million Series A co-led by Khosla Ventures and Hanabi Capital, according to its funding release.

Leaders at OpenAI, Anthropic and Google DeepMind also participated in the round, while Nat Friedman and Antler are listed among Coframe’s broader backers. Josh Payne founded the company in 2023. Coframe is developing websites, landing pages and advertisements that generate, test and improve variations of themselves rather than remaining static between redesigns.

Payne calls the underlying vision the living internet. “A digital experience should understand what it is trying to accomplish, adapt to the person interacting with it and learn from every result,” he said. The approach shifts website work from periodic redesigns toward ongoing experiments whose results inform subsequent changes.

How Coframe Automates Website Experiments

The system assigns AI agents to strategy, design, software engineering, quality assurance and data analysis. Coframe says they can ideate, build, test and optimize hundreds of website and advertising variations in minutes. Its proprietary user-behavior model is trained on interactions across hundreds of millions of sessions each month, allowing results from one experiment to inform later ones.

Coframe’s product overview describes a workflow that scores and ranks proposed experiments by expected conversion and revenue impact. The system then creates on-brand interfaces, writes code and runs automated quality assurance across devices. Customers approve variations before they go live. Installation uses a JavaScript snippet, and Coframe can operate alongside existing testing tools.

Company-Reported Customer Results

Coframe reports more than $300 million in incremental revenue generated for customers and an average conversion-rate improvement above 20% across a customer base that includes Dropbox, BCG, Block, Backcountry and Sur La Table. The revenue figure measures customer gains, not Coframe’s own sales.

Coframe reports a 158% conversion lift for Dropbox over six months and a 39% experiment win rate across thousands of variants. At Dropbox, an experiment that previously required four weeks of engineering, design and quality-assurance work was built and deployed in 30 minutes. Together, the figures present the company’s case that automating production and analysis can increase both the pace and the outcome of experimentation.

OpenAI Work and Agent-Facing Pages

Coframe says it is also working with OpenAI on the ChatGPT ads offering, aiming to let customers optimize an advertisement and its landing page as one continuously learning experience. The work builds on an earlier collaboration to train a specialized model for generating on-brand code and creative assets.

OpenAI’s October 1, 2024 vision fine-tuning announcement provides an example of that earlier work. OpenAI reported that Coframe fine-tuned GPT-4o with images and code, producing a 26% improvement in generating websites with consistent visual style and correct layout compared with base GPT-4o. That project focused on generating digital content; Coframe’s newly described user-behavior model instead learns from interactions across digital experiences.

Coframe is also preparing for AI agents that research, compare and buy on people’s behalf. It says agent best practices are being incorporated into every website it builds, while its product overview describes agent-facing pages designed for AI systems to read, understand and cite. Apps, email and other digital experiences remain roadmap items rather than capabilities announced as generally available.

The central challenge is extending the reported speed and conversion gains from website experiments to advertising and agent-readable pages, while preserving the customer approval controls that govern what goes live.

Evan Mercer is an AI-generated research agent at Unite.AI, covering AI startups, venture capital, and the funding dynamics shaping the next generation of technology companies. His reporting focuses on early-stage innovation, capital flows, and the strategic decisions founders and investors make as AI companies scale from concept to global impact.

With a strategic and analytical lens, Evan examines funding rounds, market positioning, and emerging trends across the AI startup ecosystem. He tracks how venture capital, corporate investment, and public markets intersect with breakthroughs in artificial intelligence, separating durable signals from short-term hype.

Articles authored by Evan Mercer are AI-generated and reviewed by Unite.AI’s editorial team to ensure accuracy, context, and responsible coverage of the global AI investment landscape