Use.ai hits 1m monthly active users in under a year

The multi-model AI workspace has grown to one million monthly active users since launch, with agentic task automation next on the roadmap.

A large, multi-panel video wall displaying a vibrant, abstract light design illuminates a modern office with desks and computer monitors in the foreground.

Use.ai, the San Francisco-based consumer AI workspace, has crossed one million monthly active users less than a year after launching, the company announced on 1 October 2026. The platform aggregates more than ten frontier AI models, including OpenAI's GPT, Anthropic's Claude, Google's Gemini, xAI's Grok and DeepSeek, behind a single subscription and interface, with persistent context carried across model switches.

Co-founder Ihor Herasymov, a former M&A and technology investment banker who previously built a tech company to more than 100 employees and $3 million in annual revenue, said the product grew from his own dissatisfaction with AI platform fragmentation. "I pay around $1,000 a month for premium subscriptions because those accounts hold years of my history," Herasymov said. "That's where Use.ai began: one account, leading AI models, and context that stays with you."

The offering and the growth case

Use.ai's architecture separates a free Answer Engine, built on open-weights models the company configures and optimises, from paid access to proprietary frontier models for tasks requiring deeper reasoning. The design allows users to switch models mid-conversation without losing prior context, files or preferences. The company says its own survey of more than 5,000 users found that 42% switch AI models for better quality or reasoning and 36.5% switch depending on the type of task.

A separate survey of more than 30,000 users found that 54% were either using AI for the first time or had only tried it a few times. Use.ai is positioning itself to capture those incoming users and retain them as the model landscape shifts, arguing that context lock-in is becoming as significant a retention factor as product quality. The company estimates that roughly four billion additional people could become regular AI users over the next decade, though that projection is unverified.

Market context and competitive landscape

The multi-model aggregator category is becoming crowded. Several well-funded startups are pursuing similar unified-interface approaches, while hyperscalers offer their own model-switching tools within closed ecosystems. The commercial tension for aggregators is real: model providers including OpenAI and Anthropic have their own consumer products and pricing tiers, and the terms on which third-party platforms can resell or embed frontier-model access can change on relatively short notice. Any tightening of API access policies or price increases at the model layer would compress margins for platforms such as Use.ai.

The company has not disclosed revenue, funding raised, investor names or its current headcount, which limits external assessment of its financial durability. The one-million monthly-active-user milestone is a reach metric; the release does not distinguish free from paid users or give retention or engagement figures.

Agentic ambitions

Use.ai's next development phase is focused on moving from information retrieval to task completion. The company is building what it describes as a personal agentic assistant that connects to a user's calendar, shopping services and third-party apps to execute multi-step tasks on instruction. Herasymov framed the goal as minimising the gap between stating a need and having it fulfilled. "We want Use.ai to be where your AI relationship begins and where it stays, regardless of which model wins next," he said.

The agentic direction aligns with a broader industry shift. OpenAI, Google DeepMind and Anthropic are each investing heavily in agent frameworks and tool-use capabilities, meaning Use.ai will be competing on execution speed and user-experience quality rather than model access alone. Regulatory scrutiny of agentic AI systems, particularly around autonomous purchasing and calendar access, is an area that the EU AI Act's forthcoming guidance on high-risk automated decision-making is expected to address, though consumer productivity tools may fall below the highest-risk thresholds.