The new platform will combine its ChatGPT app, Codex AI coding app, and its own AI-powered Atlas browser into one product.
As reported by the Wall Street Journal, Fidji Simo - the company's CEO of Applications - said in a memo that they want to simplify its various products.
He admitted that fragmentation "has been slowing us down and making it harder to hit the quality bar we want".
In 2025, OpenAI announced the Sora video app, and the acquisition of Jony Iv's AI hardware firm.
Now, the company's leaders are looking at areas to deprioritise.
It's reported that last week, Simo told staff they will need to avoid being "distracted by side quests".
In a post quoting WSJ reporter Berber Jin, who wrote the latest story, Simo insisted the move was a promising one for the present and future.
He wrote on X: "Companies go through phases of exploration and phases of refocus; both are critical.
"But when new bets start to work, like we’re seeing now with Codex, it’s very important to double down on them and avoid distractions.
"Really glad we’re seizing this moment.”
Meanwhile, this week OpenAI has been sued by dictionary firm Merriam-Webster.
The company, a subsidiary of Encylopaedia Britannica, filed a lawsuit in a Manhattan federal court last week that accuses OpenAI of using its material to train its AI models.
In the complaint, Britannica and Merriam-Webster accuse the ChatGPT developer of using its online articles, encyclopaedia and dictionary entries to teach the chatbot how to respond to human prompts.
The firms argue that ChatGPT has "cannibalised" their web traffic with AI-generated summaries of their content.
In the lawsuit, Britannica claims that OpenAI unlawfully copied almost 100,000 of its articles to train its AI.
The complaint says that ChatGPT "generates outputs that copy or mimic, sometimes verbatim" information from their encyclopedia entries, dictionary definitions and other articles and takes away users from Britannica's websites.
OpenAI has disputed the claim, with a spokesperson saying in a statement: "Our models empower innovation, and are trained on publicly available data and grounded in fair use."
