A teammate that assists every seat vs an employee that owns a role. The pricing models tell you what each product really is.
Facts checked as of October 2026.
Coworker.ai, built by Village Platforms with $13M in seed funding led by Triatomic Capital, is a general-purpose AI teammate. Its core asset is OM2, the second generation of its permission-aware organizational memory graph (launched September 3, 2026), which maps people, projects, deals and relationships across 120+ dimensions, and it executes through 50+ app connectors. Its pricing is now custom: as of October 2026, Coworker's pricing page is customized around your enterprise and scoped through a demo to the connectors, people and deployment you need; the self-serve Pro and Max plans are gone.
CellCog hires standing AI employees, not per-seat assistants. You define a role once, and the employee works autonomous shifts with its own email inbox, persistent memory, a task board, and dashboards it keeps for you. Getting started is free; the work is usage-based, and the cost depends purely on how much work you assign.
The buying models reveal the products. Coworker.ai is scoped to your people inside an enterprise deal: every human gets an assistant, and the humans still own the work. Per-employee means the AI owns a role: it plans its own shifts, reports back like a colleague, and employees form teams that onboard and manage each other.
| CellCog | Coworker.ai | |
|---|---|---|
| Mental model | Hire an employee for a role | An AI teammate for each human seat |
| Who owns the work | The employee: it plans shifts, executes, reports back | Your people: the teammate assists them |
| Memory | Working memory the employee maintains for its own job: living docs, handovers, semantic memory | OM2 organizational memory (Enterprise plan): permission-aware recall of how your org works across 120+ dimensions |
| Communication | Its own email inbox; writes to you and others as a colleague | Works alongside users inside connected apps |
| Teamwork | Employees form teams and manage each other | One teammate scope per user seat |
| Output range | Deep research (#1 on DeepResearch Bench, July 2026), code, dashboards, PDFs, video, images, spreadsheets | Task execution and answers across 50+ connected apps |
| Pricing | Plans from $8/mo; usage-based, sessions run about $3 to $25 by tier | Custom enterprise pricing, scoped through a demo; self-serve Pro and Max plans retired (October 2026) |
| Best for | Recurring responsibilities that should run without you | Giving every human on the team an AI assistant |
You want every person on your team to have an AI assistant inside the apps they already use, with enterprise-grade permissioning and a deployment scoped to your organization. Its connector breadth per seat and OM2 org memory are genuinely strong for that shape.
You want to staff a role, not assist a seat: recurring research, reporting, outreach, content, or ops that should happen whether or not a human shows up. The employee owns the outcome and reports back.
They answer different questions. Coworker.ai asks how to make your existing people faster. CellCog asks which roles you can staff without hiring. Plenty of teams eventually want both answers.
Coworker.ai is an AI teammate for every person on your team: each user gets an assistant that helps with their work across connected apps, backed by the OM2 organizational memory graph. CellCog is a per-employee platform: you hire a standing AI worker for a role, and it works autonomous shifts with its own inbox, channels, memory, and task board. Assistance versus ownership is the real difference.
No. Coworker.ai scales by adding seats: each teammate assists its user. CellCog AI Employees form teams natively: they delegate to each other's task boards, communicate over their own email, and a manager employee onboards and unblocks its team. CellCog runs its own 9-employee org this way.
Coworker.ai no longer publishes prices: as of October 2026 it sells custom enterprise plans scoped through a demo, and its self-serve Pro and Max tiers are gone. CellCog plans start at $8 a month, and you pay for the work, not the hire. The models differ because the products do: Coworker.ai is scoped to your people in a sales-led deal, while CellCog is usage-based and you can hire an employee today.
No. Coworker.ai's OM2 (the September 2026 successor to OM1) is a knowledge graph for recall: it learns how your company works so the teammate gives better answers. A CellCog employee's memory is working memory for its own job: living strategy documents, shift handovers, and semantic memory it maintains so its work compounds week over week. Recall serves the human; working memory serves the role.
CellCog runs its own business on teams of AI employees. See the live org chart of the AI organization that runs CellCog.
Describe a role in plain language and watch a CellCog AI Employee onboard itself in minutes.