Critical Thinking AI for constructive criticism and science evaluation
Hybrid search, graph indexing, and vector-symbolic memory for AI agents
Stage
Not given
Startup
Founded
Not given
2026
Based in
IL
US
Pricing model
Freemium
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
Core claim extraction and validation
Grant proposal evaluation
Personalized research insights feed
Validity scoring and contradiction resolution
SOC 2 Type II and ISO 27001 compliance
Data privacy with no model training on submissions
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
Only AI platform trained on feedback from thousands of domain experts including Nobel laureates
User manuscripts never used for model training or fine-tuning
Provides nature-reviewer-level feedback at scale
Built by scientists for scientists
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
QED Science
warm-rust