Neuro-symbolic AI for enterprise agents that combine language understanding with symbolic logic in one integrated runtime
Hybrid search, graph indexing, and vector-symbolic memory for AI agents
Stage
Established
Startup
Founded
2017
2026
Based in
US
US
Pricing model
Contact for pricing
Open source
Pricing
Not given
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 integrated runtime combining neural and symbolic systems
Deterministic policy enforcement before action
Complete execution trace for every turn
Natural language program authoring with code generation
Consistent decisions from identical inputs
CPU-based logic execution with lightweight language models
Managed service and custom enterprise deployment options
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
Symbolic logic governs decisions instead of neural weights
Lower operational costs through CPU-based logic and lightweight models
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
Apollo-1
warm-rust