Speech emotion, behavior, and voice deepfake detection API
Stage
Startup
Established
Founded
2024
Not given
Based in
US
US
Pricing model
Freemium
Contact for pricing
Pricing
Self-hosted: Free, MIT licensed. Hindsight Cloud: Pay-as-you-go with free credits to start. Retain (store memories) $10.00 per million tokens, Recall (retrieve memories) $0.75 per million tokens, Reflect (synthesize patterns) $0.05 per call, Iris Extract (structured extraction) $7.50 per million tok
Not given
Key features
Per-user persistent memory with preferences, history and decisions kept separate
Cross-session persistence allows context to survive weeks between interactions
Fast parallel retrieval in under 100ms through four strategies running simultaneously
Works with any LLM without losing learned context when swapping models
Learns from mistakes and corrects behavior on repeated problems
Automatic pattern detection synthesizes individual facts into consolidated knowledge
Conflict detection preserves both old and new states with timestamps when facts change
Integrates with 20+ coding agents including Claude Code, Cursor, and Copilot
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
94.6% retrieval accuracy on LongMemEval-S, beating next-best system at 74.0%
MIT licensed open source with no usage limits, telemetry or restrictions
Reflection layer automatically builds judgment and mental models over time without manual tagging
Entity resolution handles hundreds of entities with 99.5% query reduction
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
Vectorize
Behavioral Signals