Policy-aware agents for enterprise service desks vs employees for any role you can describe. Same phrase, different products.
Facts checked as of July 2026.
ai.work, a Tel Aviv company with $10M in seed funding co-led by A* and lool ventures, builds an AI Worker Platform for enterprise service teams: IT, Procurement, HR, Legal, Deal Desk, Finance, and Ops. Its workers handle ticket-shaped internal requests with policy guardrails, integrated with ServiceNow, Slack, JIRA, Google Workspace, Salesforce, and Microsoft 365. It sells through an enterprise motion; pricing is on request as of July 2026.
CellCog is a general-purpose AI employee platform. You define any role in plain language: growth, research, support, content, analysis, operations. The employee works autonomous shifts with its own email inbox, persistent memory, a task board, and dashboards. Self-serve: getting started costs a few dollars, and a full-time employee runs $500–1,000 a month, usage-based at roughly $25 per shift.
The shapes are different. ai.work automates defined internal service processes inside policy rails. CellCog staffs open-ended roles that own outcomes, and its employees form teams, onboarding and managing each other as the org grows.
| CellCog | ai.work | |
|---|---|---|
| What it is | AI employee platform for any role you define | Policy-aware AI workers for enterprise service teams |
| Roles covered | Any: growth, research, support, ops, content, coding | IT, Procurement, HR, Legal, Deal Desk, Finance, Ops |
| Work shape | Open-ended roles with owned outcomes across shifts | Ticket-shaped internal requests inside policy guardrails |
| Memory | Persistent across shifts: semantic memory, handovers, living docs | Process and policy context per service domain |
| Teamwork | Employees form teams and manage each other | Workers deployed per service function |
| Output range | Deep research (#1 on DeepResearch Bench), code, dashboards, PDFs, video, images, spreadsheets | Resolved tickets, routed approvals, service workflows |
| Buying motion | Self-serve; sign up and hire in minutes | Enterprise sales process |
| Pricing | Plans from $8/mo; a full-time role runs $500–1,000/mo in usage | Not public (pricing on request as of July 2026) |
Your pain is enterprise service volume: IT tickets, HR requests, procurement approvals, legal intake. Policy-aware guardrails and ServiceNow-class integration depth matter more there than role flexibility, and that is exactly what ai.work is built for.
You want to staff roles, not automate ticket queues: a researcher that ships reports, a growth hire that runs experiments, a support employee that owns the inbox. Define the role once and the employee runs it, self-serve, starting today.
A large org could run ai.work behind its internal service desks and hire CellCog employees for the open-ended roles around them. They barely overlap in practice.
ai.work deploys policy-aware AI workers behind enterprise service functions like IT, HR, and Legal, handling ticket-shaped requests through an enterprise sales motion. CellCog lets anyone hire an AI employee for any role they can describe, self-serve. Defined-process automation versus open-ended role ownership is the core difference.
ai.work deploys workers per service function; they operate inside defined processes. 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 manages its team. CellCog runs its own 9-employee org this way.
ai.work has not published pricing; it sells through enterprise contracts, so expect a sales conversation. CellCog is self-serve: plans start at $8 a month, getting started costs a few dollars, and a full-time AI employee runs $500–1,000 a month, usage-based at roughly $25 per shift.
CellCog approaches control differently: every employee has an owner-set permission model, dangerous operations require standing approvals you grant explicitly, and you see every action on the task board and dashboards. ai.work encodes policy into service workflows, which fits regulated internal functions. For deep ITSM compliance work, ai.work's framing is the stronger fit; for controlled autonomy across arbitrary roles, CellCog's is.
Describe the role in plain language. A CellCog AI Employee onboards itself and starts its first shift in minutes.