AI automation and visibility for mid-sized companies
Hybrid search, graph indexing, and vector-symbolic memory for AI agents
Stage
Established
Startup
Founded
2020
2026
Based in
US
US
Pricing model
Freemium
Open source
Pricing
Free plan with 2 daily analyses. AI Visibility Starter $29/month (10 daily analyses, 3 queries). AI Visibility Growth $79/month (25 daily analyses, full 6 queries). AI Visibility Autopilot $149/month (50 daily analyses, full 6 queries, weekly re-audit). Services: Free Diagnostic (15 min), Local Star
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
AI citation audit testing what AI models say about your brand in real queries
AI identity files checker for ai.json, llms.txt, robots.txt
AI crawler policy analysis for GPTBot, ClaudeBot, Perplexity
Schema.org markup structured data analysis
Technical SEO audit with canonical URLs and hreflang
Open Graph tags verification for AI sharing
Core Web Vitals and Lighthouse performance scoring
Market intelligence on pain points and decision criteria
AI-powered workflow automation for sales and support
MCP server integration for Claude and Cursor
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
Free visibility audit for AI assistants with no card required
Transparent ROI modeling before any automation work is built
Production workflows deployed in 2-4 weeks with team handover
Audits measured on the same frozen prompt set for comparable results
Focus on small to mid-sized companies 10-200 employees
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
INITE
warm-rust