Duckie
The agentic platform for support teams to build AI agents that resolve tickets, investigate issues, and automate workflows behind support.
What it does
The agentic platform for support teams to build AI agents that resolve tickets, investigate issues, and automate workflows behind support.
- Autonomous ticket resolution
- Investigation of issues
- Escalation and triage
- Workflow automation for support teams
- Category
- Customer support agents
- Users
- Support teams at companies including financial services, data infrastructure, and e-commerce sectors (Vanquish Trader, Grid, Automox, Abbiamo) (from customer testimonials) [S1:B5][S1:B6], Companies seeking self-hosted or on-premises deployment for heightened security [S2:B38][S2:B54]
- Public API
- Not offered
- Deployment
- Self-hosted, On-premises
Not yet disclosed: platforms, languages and support channels.
Pricing
Pricing isn't published
Duckie doesn't list prices publicly. Ask them for a quote.
Security and compliance
As reported by Duckie. Ask for audit reports before you buy.
- SOC 2In progress
- TLS for data transmission
- Encryption at rest
- Multi-factor authentication (MFA) for all employee remote access
- Principle of least privilege access controls
- Role-based access control (RBAC)
- Access deprovisioning within 24 hours of employee departure
- Customer data not accessible from public internet
- Siloed data storage per customer environment
- Network IDS/IPS in production
- Database logging and auditing
- Access Control Lists (ACLs)
- IAM policies in production
- Monitoring and alerting systems
- Backup and recovery procedures
- Quarterly vulnerability assessments
- Annual penetration testing
- OWASP secure development guidelines
- Automated security testing in CI/CD pipeline
- Disaster recovery plan with multiple US-based failover sites
- Regular data backups and failover procedures
- Security incident and breach response plan
- Customer email notification for security incidents
- Zero-day data retention policy with OpenAI
- Anthropic does not use customer data for training
- AWS Bedrock zero-retention policy option
- No personal data used to train LLMs across any deployment option
- Open-source models do not share data with third parties
- Self-hosted deployment option with data sovereignty
- Dedicated administrative web interface for customer data management
- Custom LLM model endpoint support in self-hosted deployment
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