Real-time AI copilot that listens to your call and tells you what to say next
Hybrid search, graph indexing, and vector-symbolic memory for AI agents
Stage
Not given
Startup
Founded
Not given
2026
Based in
Not given
US
Pricing model
Not given
Open source
Pricing
Free: one 5-minute live session, no card required. Sayble Pro: $39.99/month (or $24.99/month for first 12 months with founder code). Sayble Teams: custom pricing.
Open source under Apache-2.0 license. WARM Cloud is in development with usage-based pricing for sync, backup and verification; details to be published at launch.
Key features
One line to say next plus a backup during a live call
Live transcription of both sides, labelled by speaker
Recap and follow-up email drafted from the transcript when the call ends
Plain-language questions across your past calls
Custom modes with your own reference files (pitch decks, pricing sheets, playbooks, PDFs, CSVs)
Works on Zoom, Google Meet, Microsoft Teams, Slack huddles and phone calls
10 languages, auto-detected
Built to stay off screen shares
Available on Mac and Windows
Hybrid search combining BM25 lexical and vector scoring
Vertex graph vector index with 2.29-2.75x throughput vs hnswlib
Vector-symbolic fact memory with holographic reduced representations
AES-256-GCM encryption at rest with Argon2id key derivation
Signed audit log with Ed25519 and W3C DID identity
Secure purge that overwrites deleted data with zeros
Crash-safe append-only log with checksumming
Native Rust API with Python HTTP client and Node.js bindings
MCP server integration for editors and AI agents
WARM Cloud sync, backup and verification without server access to keys or documents
What makes it different
Suggests the exact words to say next in real time during the call
Automatically writes recap and follow-up email before you hang up
Query all your past conversations in plain language to find patterns
Built by operators who close calls, not by committee
Runs entirely locally in your process with no network calls or telemetry
Encryption at rest built into the open-source engine itself, not an enterprise add-on
Significantly faster vector search than hnswlib with graph-indexed vertex retrieval
Signed provenance and verified audit trail using C2PA, COSE and SCITT standards
Embedded library model eliminates dependency on external services or vendor lock-in
Sayble
warm-rust