Last updated 07-23-2026
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Duckie
Duckie is the agentic platform where support teams build agents that resolve tickets, investigate issues, and automate workflows behind customer support. Instead of handing runbooks to vendor engineers, your team describes what should happen in plain English and ships production agents on their own timeline.
The platform connects to helpdesks, billing tools, issue trackers, and messaging channels through native integrations, MCP, and APIs. Support leaders create specialized agents for ticket resolution, escalation triage, backend investigation, and analytics, then orchestrate them on a shared canvas with Live, Shadow, and Testing rollout modes.
A centralized policy engine enforces guardrails on every agent: PII redaction before tool calls, refund approval thresholds, sandboxed testing, and kill switches for instant halts. Teams replay thousands of real tickets in simulation before anything reaches a customer.
Duckie is built for SaaS and fintech support organizations that need to scale ticket volume without linear headcount growth. Customers like Grid report automating 90% of monthly tickets while cutting cost per resolution significantly.
Describe workflows in plain English and ship agents without engineering help
Resolve tickets end to end by calling Stripe, Zendesk, Jira, and other connected tools
Orchestrate billing, escalation, and investigation agents on one shared canvas
Roll out agents in Live, Shadow, or Testing mode with per-agent traffic controls
Replay thousands of real tickets in simulation before anything reaches customers
Switch between frontier LLM providers or route everything through AWS Bedrock
20+ integrations across Zendesk, Intercom, Slack, Notion, GitHub, and more
Support teams build and own agents in plain English without vendor implementation engineers.
20+ integrations let agents read knowledge bases and take actions across your stack.
Live, Shadow, and Testing modes plus ticket replay reduce risk before full rollout.
Self-hosted and AWS Bedrock options for teams with strict data residency needs.
No public pricing page; you need to book a demo to get a quote.
Per-ticket model may be harder to forecast than flat per-seat pricing for small teams.
No self-serve signup on the marketing site; sales-led onboarding is the default path.
What does Duckie do for support teams?
Duckie lets support teams build agents that resolve tickets, investigate issues, and automate workflows behind customer support. Teams describe what should happen in plain English, connect their tools, and ship agents that take real actions in Zendesk, Stripe, Jira, and other systems.
Which integrations does Duckie support?
Duckie lists 20+ integrations across messaging (Slack, Discord, Gmail), knowledge sources (Notion, Confluence, Google Drive), issue tracking (Jira, Linear, GitHub), and support platforms (Zendesk, Intercom, HubSpot, Freshdesk, Plain, Pylon). Each integration can serve as a knowledge source, an action channel, or both.
How does Duckie pricing work?
Duckie does not publish plan prices on its website. Prospects book a demo to get started. Grid, a Duckie customer, notes that pricing is per ticket based on throughput, so costs scale with ticket volume rather than seat count.
Does Duckie offer a self-hosted deployment?
Yes. Duckie offers a fully self-hosted version for customers with heightened security requirements. The self-hosted option runs on your own cloud infrastructure and lets you define custom model endpoints, including proprietary or fine-tuned LLMs.
Is Duckie SOC 2 certified?
Duckie displays a SOC 2 Type II certification badge on its homepage and links to its security page for details. The security documentation also describes ongoing compliance work with Thoropass and independent audit report availability for customers.
What LLM providers does Duckie support?
Duckie supports a mix of open-source and closed-source models. By default it uses OpenAI and Anthropic with zero-day retention policies. Customers can also route models through AWS Bedrock or deploy a self-hosted stack with custom model endpoints.