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OpenTag

OpenTag is an AI coworker that operates directly inside Slack, letting teams delegate tasks, automate recurring work, and access company knowledge without leaving their chat interface. It routes each request to the best-suited model from over 40 options across major AI families, and connects to 50+ tools like Google Workspace, GitHub, and Stripe. The system builds a living company wiki from invited channels and requires human approval before any consequential action.

Traction 10/10
San Francisco, United States · HQ
Founded 20263300+ followers
  • AI Agents
  • Artificial Intelligence
  • Enterprise Software
  • Software Only
Updated 12 days ago

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.

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Teams lose time and context when they move work out of Slack into separate AI tools, forcing them to rebuild the surrounding decisions, people, and history before any useful work can start. Important company knowledge is scattered across channels nobody searches, so answers and recurring workflows depend on the people already carrying that context.

Solution

OpenTag is a model-agnostic AI coworker that lives directly in Slack, where work already happens. Users tag OpenTag in a thread to investigate issues, update tools, or run recurring jobs, and it reports finished work back in the same conversation. It connects to approved systems, chooses the best AI model for each step, and asks for approval before sending, spending, or submitting anything. OpenTag also reads the company's channels to build a living wiki that captures decisions, ownership, and repeating workflows, so context compounds instead of walking out the door. The system routes each task to the best-suited model from over 40 options, so teams benefit from better performance and lower costs as underlying models change without changing their workflow.

Target Audience

Primary users are engineering, operations, and growth teams at startups and small companies that rely on Slack for daily coordination and want an AI coworker that can act on their tools while keeping human oversight.

Features

  • Slack-native interface: tag OpenTag in any thread to delegate tasks and receive results in the same conversation, with Microsoft Teams support coming soon
  • Model-agnostic routing: each step is sent to the best-suited AI model from over 40 options across Claude, GPT, Gemini, Grok, DeepSeek, Kimi, Qwen, Llama, and Mistral families
  • Proactive job ownership: after spotting a repeated task, OpenTag volunteers to own it, such as running the Monday numbers every week at 9:00 and posting to #growth
  • Per-person permissions: integrations are scoped to the person who connected them, and a read-only tool cannot write at all
  • Approval gates: OpenTag waits for human sign-off before sending, spending, submitting, or purchasing, and every action is audited
  • Living company wiki: OpenTag reads invited channels and maintains a current wiki with sources, so answers exist before anyone asks
  • Security controls: each workspace runs in an isolated environment, data is never used for training, TLS 1.3 in transit and AES-256 at rest, with per-tenant encryption keys
  • Source-cited work: OpenTag names the model used, shows its plan, and cites sources so mistakes stay reversible; it stops and reports if a tool returns an error
This profile is AI-generated and may contain inaccuracies.