Turn AI agents into real teammates.
Kollab brings company knowledge, tasks, agents, and deliverables into one workspace so teams can move beyond one-off generation and run repeatable AI workflows.
After adopting AI, many teams still stop at generation. Source material is scattered, review habits live in chat threads, and useful prompts or outputs are hard to reuse. Kollab gives the team a shared operating layer for AI work.
Built for teams that turn knowledge into deliverables
- Content and marketing
- Sales and business development
- Startup operations
- Research and consulting
- Product and engineering
What Kollab puts in one place
The product guide explains Kollab through the five layers teams need before AI can become part of daily work instead of a detached tool.
AI Agent Workspace
Projects, files, tasks, and agent outputs stay together so teammates can continue work without rebuilding context from scratch.
Reusable Skills
Validated methods become team skills that preserve best practices for research, writing, reporting, review, and operations.
Connectors
Connect tools such as Notion, GitHub, Slack, Telegram, and more so agents can read source material and sync useful results back.
AI Bots
Bring agents into team chat so people can ask questions, search materials, and start tasks from the channels they already use.
Long-term Memory
Documents, meeting notes, decisions, and deliverables become reusable knowledge that agents can cite in future work.
From source material to reviewed work
Kollab keeps the full chain visible so AI outputs can be reviewed, refined, and reused by the team.
1. Source material
Collect files, links, docs, chat context, and project knowledge in the workspace.
2. Skill
Run a reusable process that matches the team’s preferred method and review rules.
3. Agent
Let the agent research, draft, analyze, create, or update work with the right context.
4. Draft
Keep the first result near the source material so teammates can review and improve it.
5. Review
Turn approved outputs into reusable knowledge, artifacts, or follow-up tasks.
Four practical starting points
The guide uses concrete scenarios so buyers and teammates can understand where Kollab fits first.
Content production automation
Plan topics, draft articles, prepare social posts, localize content, and keep review status in one repeatable workflow.
Research and competitor analysis
Gather multiple sources, extract signals, preserve citations, and turn them into structured reports for decision makers.
Sales materials and customer proposals
Combine product knowledge with customer requirements to create proposals, outreach emails, follow-ups, and sales briefs faster.
Product development and bug handling
Report a bug in chat, let the agent analyze context, connect GitHub, and prepare fix suggestions or implementation tasks.
Commercial and deployment options
For teams with stronger data control and compliance requirements, Kollab offers private deployment options that fit enterprise rollout needs.
Private deployment
Kollab can support private cloud or VPC deployment for teams that need stronger data control, SSO, audit logs, and governed rollout.
Plans that scale with usage
Kollab Cloud is hosted, ready to use, and billed by subscription. See pricing details at Kollab.im/pricing.
Free
For individuals and teams that want to try Kollab with starter credits and lightweight workflows.
Pro
For small teams running recurring AI work with more credits, storage, sessions, and collaboration needs.
Max
For teams with heavier agent usage, larger files, more frequent workflows, and broader rollout needs.
Try Kollab for free
Start with a real project and see how Kollab brings source material, AI generation, collaborative review, and final delivery into one workflow.