Run every AI implementation without losing the thread of any of them

Thor keeps decisions, history, and status straight across every client build your team is running, then leaves each client with a working context layer instead of a training deck when the engagement ends.

You make AI stick for a living, and it doesn't survive after you leave

You spend weeks embedding a decision into how a client works. Two months after the engagement ends, they're back to their old process, because the reasoning lived in your consultants' heads, not in anything the client kept.

Keep every build straight, and leave something that outlasts you.

One thread per client, not per consultant

Thor keeps each client's decisions, constraints, and status in one place, so nothing lives only in whoever happened to be on the call.

Agents that don't mix up your clients

Each engagement gets its own trusted context, so a coding agent building for Client A never guesses using Client B's assumptions.

Adoption that doesn't slide back

When your team leaves, the client keeps a living record of what was built and why, so the old habits don't quietly creep back in.

Three months after your team wraps, the client's ops lead asks why the automation skips a step. Thor already has the answer, logged the day your team decided it, sourced back to the call.

  1. Week 6 of the buildDecision made and logged
  2. 3 months laterClient asks why
  3. ThorAnswer, sourced, ready

FAQs

How does Thor protect my data?
Thor is SOC 2 Type II compliant, and we've completed a Cloud Application Security Assessment (CASA), the App Defense Alliance standard for apps that access sensitive Google user data. Thor is a new product from the team behind Zenhub, who have a decade-long track record of building enterprise-grade developer tools with security at their core. We apply the same standards to everything we build.
Do you train your AI models on my company's data?
Absolutely not. Your data is yours alone. We never use customer data, conversations, or meeting transcripts to train our models.
How does Thor handle permissions and data access?
For tools that connect per person (GitHub, Linear, Google, and Notion), Thor uses that person's authorization. If you cannot see a repository or a document, Thor cannot see it through your connection. Slack connects once for the workspace, and Thor's bot only sees channels it has been added to. A system you connect yourself, such as your own MCP server, uses one organization credential set up by the person who configures it. Thor does not sign in to that system as each Slack user, and there is no per-person token in Thor for that connector to rotate.
Does Thor have access to read or write our source code?
No. Thor's integration with tools like GitHub is strictly limited to project management functions like creating, updating, and commenting on issues. It has read access to your codebase in order to understand the context of the work and access the relevant documentation (typically stored in markdown files). Thor cannot push directly to your codebase.
Is there an audit trail for actions taken by Thor?
Yes. The conversation record stores who asked, which tool ran, and what came back. We can provide that record on request. It is not a screen in the product yet. On GitHub and Linear, a write uses the authorization of the person who asked, when they have connected that tool, so the tool's own history shows them. A system you connect yourself is written as the organization credential, so that system's history shows the credential, not the Slack user.
How accurate is Thor with technical conversations?
Thor is specifically tuned for software development and product team conversations. However, our key feature is the "human-in-the-loop" design. Thor always proposes a plan for your approval before taking any action, giving you the chance to add any necessary nuance or corrections.
Will this create more notification spam for my team?
No, the opposite. By centralizing follow-ups and creating structured action plans, Thor reduces the random "just checking in" pings on Slack. You can configure how and when Thor communicates to fit your team's existing workflow and minimize unnecessary noise.
What if I use a tool that isn't on your integrations list?
We are constantly expanding our ecosystem of connected tools based on customer feedback. If you have a specific tool you'd like us to support, we'd love to hear about your use case. Please reach out to our team at support@thor.ai.
Who is Thor built for?
Thor is purpose-built for software engineering and technical teams that are moving too fast and feeling overwhelmed with administrative overhead. It's ideal for team leads, engineering managers, and founders who feel the pain of coordination tax most acutely.
Do I have to invite another bot to all my meetings?
Nope. You have enough bots to deal with. Thor isn't an awkward guest you have to remember to add to every call. It works by hooking into the meeting transcripts your team already generates in Google Meet, Zoom, and Microsoft Teams.
Do I need to be a workspace admin to set up Thor?
Not at all. You can initiate the setup in minutes using standard, secure third-party authorization like GitHub OAuth. If an integration requires broader admin approval, Thor will provide a simple, shareable link for your workspace admin to grant the necessary permissions.
What is the pricing for Thor?
Every plan gets unlimited people, meetings, and connected tools. You only pay for actions, which are the finished things Thor produces: a ticket created, a doc updated, a question answered. Free is $0 with 25 actions a month, Team is $199 with 300, and Enterprise is custom. See thor.ai/pricing for the full breakdown of what counts.