What it is
Duckie lets support teams build AI agents that resolve technical issues.
What you'd use it for
You would use Duckie for technical B2B support: its agents pull from Slack, Jira, and Confluence to resolve issues, and update documentation from what they resolve.
Examples of use
A customer reports a technical problem with a software product. Duckie's agent resolves the issue.
An answer is scattered across Slack, Jira, and Confluence. Duckie's agent pulls context from all three into one answer.
A support team wants its own agent for B2B SaaS support. They build one in Duckie.
A new issue gets resolved. Duckie updates the documentation automatically from what it learned.
A developer asks a technical support question. Duckie answers it accurately by retrieving from internal tools.
A question has more technical depth than a generic bot can handle. Duckie, built for technical support, takes it.
How it works
Duckie's agents retrieve from a company's internal tools to answer technical questions. Detailed model architecture is not disclosed.
How it compares
Duckie focuses on technical support for software products, a narrower aim than the broad autonomous agents such as Decagon.
What others say
An early-stage Y Combinator company (W24 batch). No analyst coverage.