Long-term memory for AI agents that organizes itself and corrects itself
Speech emotion, behavior, and voice deepfake detection API
Stage
MVP
Established
Founded
Not given
Not given
Based in
SE
US
Pricing model
Free
Contact for pricing
Pricing
Personal: Free during early access. Unlimited memories, all agents with separate memories, no card required. Enterprise: On request, set up by the team for departmental organization with cross-department sharing and direct support.
Not given
Key features
Self-correcting memory that updates when facts change
Historical memory queries with time-based retrieval
Automatic topic organization and hierarchy
Separate memory for each agent with controlled sharing
Multi-agent support via MCP, REST API, or LangGraph
AES-256 encryption at rest and in backups
OAuth 2.1 authentication and API key management
Data export and deletion capabilities
37 MCP tools with automated verification on every code change
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
Understands what changed, when it was true, and where it belongs - beyond vector database similarity
Never contradicts itself by automatically replacing outdated facts
Fully GDPR aligned with built-in privacy by design
Two-minute integration with Claude, ChatGPT, Cursor and any MCP client
Data stays in Europe on AWS eu-north-1 and never used for model training
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
Behavioral Signals