ZooWork

ZooWork is an AI agent delivery platform built for forward-deployed engineers (FDEs) and domain experts who want their expertise packaged as software rather than explained in documents. Instead of asking teams to learn prompt engineering, it takes the material a senior operator already has - role definition, company knowledge, working SOPs, delivery standards, and the exact tools the role touches - and turns it into an agent that runs the job continuously.

The core idea is that whoever runs the agent owns the loop. An agent on ZooWork is defined by the outcome it owns, what it is allowed to touch, and what done means before work ships. Agents plan a task into checkable steps, execute tool calls against real systems such as POS, inventory, WMS, CRM, Jira, GitHub, Google Workspace, Microsoft 365, Slack, and Lark, stop at approval gates before moving money or writing data, and return an actual deliverable: a deck, a document, a purchase order, or an updated record. A store ops agent, for example, can check 214 stores against yesterday's planogram photos, name the nine that missed a reset, message each store lead, and re-verify later the same day.

Building happens in conversation. Agent Builder turns a chat into a working agent that can be previewed and published in a click, and 50+ industry and role templates mean teams start from a proven playbook instead of a blank prompt. The Agent Runtime supplies what would otherwise be rebuilt in-house: a harness that decomposes and executes long tasks with guardrails, a feedback loop that captures outcomes from each run to improve Agent Skills, isolated sandboxes with Python, shell, and browser access, Kubernetes-native autoscaling, optional GPUs, and full observability.

ZooWork is deliberately model-agnostic, routing hard problems to stronger models and routine work to faster ones across OpenAI, Claude, Gemini, DeepSeek, Kimi, GLM, and Seedance, with no vendor lock-in. ZooData converts any URL into agent-ready JSON with up to 75% fewer LLM tokens, which makes external commerce, finance, and social data usable inside agent workflows. Agents also live where the team already works: Slack, Microsoft Teams, WhatsApp, the ZooWork app, or embedded into a product through the Managed Agent API and SDK.

Security is treated as a product surface, not an afterthought. The company reports SOC, GDPR, and HIPAA alignment, continuous control monitoring, annual penetration testing, enterprise SSO with role-based access, least-privilege tool scopes, runtime policy checks on every input, output, and tool call, tenant isolation with zero data retention, and replayable audit trails for every decision and approval.

Deployment follows a seven-day path: define one real workflow and its human checkpoints, connect the systems and load the role's standards, then run production tasks with the team reviewing each step. Enterprise buyers also get a forward-deployed engineer to scope the first workflow.