Artemis

The most interesting thing missing from current AI is not better reasoning. It is time. Every AI product treats a task that takes ten hours and one that takes two minutes as identical. It does not know that an email sent three days ago was never replied to, that a follow-up was due yesterday, or that a deadline is twenty minutes away. It has no sense of how long anything has been, which means it cannot act on the passage of time. That is the core reason agents cannot do autonomous background work today, not in the way the demos suggest. They are not bad at reasoning. They are blind to the clock.

Two related problems compound this. AI is reactive. It waits to be asked, every time, for everything. And the interface is broken. Every product requires the user to open a new thread, load in context, and stay in the loop for every task. The cognitive overhead never disappears, which is why most people do not use AI consistently.

Artemis is built around all three. It is temporally aware: it knows what has happened, how long ago, and what that means for what needs to happen next. It is proactive: it monitors context and acts before being asked. And its interface is a phone call, which means no new behavior on the user's part. They pick up, or they call. The single biggest barrier to AI adoption is not capability, it is the requirement that the user change how they work. A phone call requires nothing.

Artemis operates at the OS level. It sees the screen via vision and controls the computer directly through clicks, typing, and navigation, which means it works with any software regardless of whether an API exists. Parts of it run on-device for speed and privacy. It integrates natively with Gmail, Slack, Notion, Calendar, WhatsApp, GitHub, and others.

The phone interface has tradeoffs. It is not great for sending files mid-call, not usable in meetings, and harder for some kinds of work than a keyboard. But none of that matters when the alternative is opening an app, signing in, loading context, and managing a thread. For the work Artemis is built for, chasing follow-ups, scheduling, drafting, calling vendors, watching for things you forgot, voice is faster, lower-friction, and the only modality that already lives in every person's habits.

Every call Artemis makes for a customer teaches it something a fresh competitor cannot replicate quickly. Within a month it knows their vendors, their stakeholders, their working hours, their inbox triage rules, the kinds of follow-ups they ignore, the ones they always want chased. By month three the gap between a customer's Artemis and a freshly installed competitor is structural. This is not a model advantage. Model quality will continue to commoditize. It is an account-data advantage that gets deeper every week of use. Combined with the phone interface, which establishes a behavioral foothold no other agent product has, that is what the long-term position is built on.

Artemis launched in March 2026 and hit 100,000 organic impressions in under 24 hours. Revenue went from $175 in February to $5,000 in March to $8,300 in April, with 240 daily active users, all organic. The $8,300 breaks down as one anchor enterprise contract at $5,000 per month, a second at $3,000 per month currently signing, and $300 from individual subscribers. The individual subscriber line is the bottoms-up signal we watch most closely. It is small but growing without paid acquisition or virality, on a product that converts over a phone call.

The February-to-March jump tracks the launch wave. April growth normalized to 66% month over month and we expect that range while we are still inside the post-launch organic curve. The plan for when that curve flattens is not paid acquisition first. It is the second and third enterprise anchors funding deeper investment in the SMB self-serve product, which is where the long-term volume lives.

The primary market is SMBs. Bland and Retell, the two main voice AI players, are laser focused on large enterprises. To deploy either you build your own call flows, configure everything yourself, and absorb per-minute pricing that adds up fast. Neither has a consumer product. On the agentic side, OpenClaw is the closest comparison, but its orchestration layer is fundamentally built for text-based chatbots. Artemis is built specifically for voice agents, with far more aggressive parallelization and a tool-calling layer optimized for real-time calls, because you cannot ask a user to stay on hold while agents finish executing.

Artemis is one-click, flat-rate, and closes the full loop from call to action to follow-up with no configuration required. Enterprise is custom per-seat pricing and is scaling faster than consumer right now. There are 33 million small businesses in the US alone, a segment almost entirely ignored by every major player. At 1% penetration at $200 per month average, that is an $800M annual opportunity before international markets or the consumer segment, which itself has no real incumbent.

The longer-term position is the agent layer above all software, the thing everyone calls instead of opening an app. The phone interface is the wedge that gets there. The account-data advantage is what makes it durable.