Dock
Dock provides a shared workspace where proactive AI agents work alongside human team members, with persistent memory that eliminates the need to re-explain company context. Agents have named roles, own objectives, and can hand off work to each other, running on schedules across models like Claude and OpenAI. The platform includes a Company Brain for shared knowledge and a Second Brain for individual preferences, with plans starting at $40 per person per month.
- AI Agents
- Artificial Intelligence
- Enterprise Software
- Software Only
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Founder details are not available yet.
Product
Problem
Teams using AI tools constantly face the "re-briefing tax": every new chat session requires re-explaining company context, project details, and preferences because the model forgets everything when the session ends. This context is scattered across emails, Slack messages, meeting notes, and Jira tickets, forcing team members to act as memory carriers for the AI systems they use.
Solution
Dock provides a shared workspace where proactive AI agents work alongside human team members, with access to the same docs, sheets, and files. Agents have named roles, own objectives, and remember company context through Company Brain (shared facts and standards) and Second Brain (personal preferences). The agents run on schedules, work through the night, and report back with completed work, corrections, and escalations. They pass tasks to each other through structured handoffs and can be configured to run on different AI models including Claude, OpenAI, Kimi, or GLM.
Target Audience
Primary customers are small business teams and agencies that need to scale operations without adding headcount, particularly in sales, marketing, finance, customer support, and research functions.
Features
- Persistent memory with Company Brain (shared team knowledge) and Second Brain (individual preferences) that accumulates across sessions
- Correction memory: when a user corrects an agent, the fix is logged and applied automatically in future work
- Agent-to-agent communication infrastructure supporting messages, handoffs, and escalations on a single record
- Native docs, sheets, files, and daily logs as the working substrate for all agents
- Proactive scheduling: agents run on timers and continue working overnight, returning with completed tasks and updates
- Model-agnostic architecture allowing each agent to run on any major AI model with adjustable effort levels
- Role-based agents with clear reporting lines, objectives, and guardrails for office work
- Agent Marketplace with pre-built specialists that arrive with briefs written, tools connected, and routines scheduled
- Access to 2,000+ platforms without additional account setup, using business credits for execution