Speech emotion, behavior, and voice deepfake detection API
Context layer platform for regulated industries
Stage
Established
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Founded
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Based in
US
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Pricing model
Contact for pricing
Freemium
Pricing
Not given
Free: $0, includes up to 5 members, 100 context nodes, and 100 MB of indexed content. Team: $25 per seat per month (or $200 per seat billed annually), includes up to 25 members, 1,000 context nodes, and 1 GB of indexed content. Enterprise: custom pricing, includes Forward Deployed Engineers, Hybrid
Key features
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
Model-agnostic: runs on Claude, GPT, Gemini, or open-weight models
Full observability: trace every tool call, retrieval, and reasoning step
Isolated execution: tool calls run in isolated environments by default
Code mode: reduces token usage to one-third of traditional approaches
Self-hosted on your infrastructure: cloud, on-prem, or air-gapped
MCP server integration: works with existing MCP servers unchanged
Open source under MIT license
Automatic model failover and switching
What makes it different
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
Isolated by default with no direct system access
Reduces token usage to approximately one-third
Runs end-to-end air-gapped with no external network calls
Full transparency through open agent-observability spec (AVP)
No vendor lock-in: switch models without rewriting agents
Behavioral Signals
Port of Context