AI sales assistant that drafts client follow-ups in your voice from your real inbox
Hybrid search, graph indexing, and vector-symbolic memory for AI agents
Stage
Growing
Startup
Founded
Not given
2026
Based in
Not given
US
Pricing model
Not given
Open source
Pricing
Free plan with 300 one-time credits. Growth plan at $79/month with 100 managed contacts and 1,000 credits/month. Pro plan at $329/month with 500 managed contacts and 5,000 credits/month. Enterprise at custom pricing with 1,000+ managed contacts. Unlimited seats on all plans.
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
Reads email and CRM to identify best prospects
Drafts personalized emails in your voice from actual conversation history
Approval-first workflow with optional auto-send
Contact enrichment and profile updates
Learns your writing style through approvals and edits
Shared team view with unified inbox for outreach
Integrates with Gmail, Outlook, HubSpot, and Attio
Sends from your real existing inbox
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
Treats every relationship individually rather than using fixed cadences
No sequences or templates required
Approval required by default, not auto-send
Works on top of existing CRM without migration
Continuous proactive relationship management at scale
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
warm-rust