Shtab

Shtab is a collaboration platform that brings projects, tasks, goals, knowledge, time tracking, and AI into one workspace. It is designed for companies that want structured work management while maintaining control over data placement, access, permissions, and AI processing.

The platform connects company objectives with day-to-day execution through a clear chain from goals to projects, tasks, and subtasks. With Kanban and Gantt views, OKRs, a knowledge base, time tracking, and an AI agent, Shtab gives teams a shared environment for planning and executing work without spreading information across multiple tools.

Key Features

Project and Task Management

Shtab provides structured project and task management for organizing work from high-level goals down to individual subtasks.

Teams can use the workspace to plan projects, assign work, track tasks, and connect execution with broader company objectives.

Kanban and Gantt Views

Different teams and projects can use different approaches to planning work.

Shtab provides:

• Kanban views for workflow-based task management
• Gantt views for timeline-oriented project planning
• Task and project structures for organizing work at different levels

This gives teams flexibility in how they visualize and manage ongoing work.

OKR Management

Shtab connects objectives and key results with actual execution.

Goals can be linked to projects and tasks, creating a clearer relationship between what the company wants to achieve and the work being completed to achieve it.

Knowledge Base

The built-in knowledge base provides a shared place for internal information and organizational context.

Keeping knowledge alongside projects and tasks can make relevant information easier for teams to access while working on related objectives.

Time Tracking

Shtab includes time tracking for teams that need visibility into how much effort is being spent on work.

This can help teams understand time allocation across projects and tasks while keeping effort data within the same workspace as project management.

AI Agent

Shtab includes an AI agent designed to work alongside people inside the same workspace.

Rather than treating AI as a separate tool, the agent operates within the broader collaboration environment where projects, tasks, goals, and knowledge are already organized.

Private AI Mode

For teams with stricter data requirements, Shtab offers a private AI mode.

It supports local model use inside the organization's perimeter and provides secure data anonymization before information is processed by an LLM. This gives organizations more control over how sensitive work context is handled during AI-assisted workflows.

Cloud and On-Premise Deployment

Shtab can be deployed in the cloud or on-premise.

On-premise deployment is suited to organizations that need greater control over where their work data is stored and processed, including companies operating under stricter internal or regulatory requirements.

Role-Based Access Control

Shtab includes role-based access so users can access only the information and functionality they are permitted to see.

This provides a structured permission layer for organizations with different teams, responsibilities, and access requirements.

Built For Structured Teams

Shtab is designed for startups, enterprise teams, and regulated organizations that want projects, execution, goals, and organizational knowledge connected in one system.

It is particularly relevant for companies where data placement and access control are important considerations, as well as teams that want to introduce AI without automatically moving sensitive work context outside their own environment.

Common Use Cases

• Project management: Plan and organize projects, tasks, and subtasks in one workspace.
• Goal management: Connect OKRs with the projects and tasks responsible for execution.
• Team collaboration: Give teams a shared workspace for projects, knowledge, and daily work.
• Kanban planning: Manage workflows through board-based task views.
• Timeline planning: Use Gantt views for projects with structured schedules.
• Knowledge management: Keep internal information and project context in a shared knowledge base.
• Time tracking: Monitor effort spent across tasks and projects.
• Private AI workflows: Use local models and anonymization for AI-assisted work within a controlled environment.
• Regulated environments: Deploy on-premise when organizational requirements call for greater control over data placement.
• Role-based collaboration: Restrict access according to user roles and permissions.

Pricing

Shtab offers a free plan with no limit on team size. Some advanced controls are reserved for higher-tier usage.

For organizations requiring local deployment, Shtab can be deployed on the company's own servers.

Why It Matters

Teams often manage objectives, projects, tasks, documentation, time, and AI assistance across separate systems. That can make it difficult to see how daily work connects to company goals and can introduce additional concerns around data access and placement.

Shtab brings these areas together through a connected structure where goals lead into projects and tasks, while knowledge and AI remain part of the same workspace. Its role-based access, private AI mode, and cloud or on-premise deployment options also make it suitable for organizations where control over work data is an important requirement.

For companies looking for a Russian collaboration platform with local hosting options, Shtab is also listed in the national software register.

Connect Goals, Projects, and Team Work With Shtab

Bring project management, tasks, OKRs, knowledge, time tracking, and AI into one structured workspace. With role-based access, private AI capabilities, and cloud or on-premise deployment, Shtab gives teams a way to coordinate work while maintaining greater control over their data and operating environment.