Ship agents into systems you can't afford to break
Speech emotion, behavior, and voice deepfake detection API
Stage
Not given
Established
Founded
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Based in
IL
US
Pricing model
Freemium
Contact for pricing
Pricing
Free plan includes 125,000 tasks and 75,000 triggers monthly with 5 seats and 1 on-prem agent. Starter: $29/month or $24/month billed annually. Business: $289/month or $240/month billed annually. Enterprise: custom pricing.
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Key features
MCP server for AI agents and assistants
Python and TypeScript SDKs
REST API and CLI for scripts and coding agents
No-code workflow canvas
Managed authentication to connected systems
Audit trail of agent actions
Tool permissions scoped per agent
On-premises agent for systems behind firewall
Native integrations with Zendesk, Intercom, Freshdesk, ServiceNow, SAP, NetSuite, Salesforce
Root cause analysis and backend execution of fixes
Emotion recognition from speech
Voice deepfake detection
Speaker attributes analysis
Language-agnostic processing
Real-time processing at enterprise scale
Cloud and on-premises deployment
Behavioral signals combination
Agent-customer matching via PAIR
Custom domain-specific models
Behavioral profiling and recommendations
What makes it different
Secure enterprise-grade controls including granular tool permissions, audit trails, and versioning without sacrificing automation speed
Autonomous AI agents that execute fixes end-to-end rather than just deflecting to chatbots or escalations
Multiple interface options including MCP, SDKs, API, CLI, and no-code canvas for different developer and non-developer needs
On-premises deployment capability for regulated or sensitive systems behind firewalls
Seamless integration with entire enterprise tech stack including ERP, CRM, helpdesk, and observability platforms
Combines acoustic and behavioral cues for broader deepfake detection signal
Language-agnostic detection without per-language model maintenance
Real-time processing suitable for live calls
Custom models built by expert team on same engine
Agent-customer compatibility matching for better call outcomes