The native language of AI; in human terms, a protocol.
Stage
Growing
Startup
Founded
Not given
2026
Based in
Not given
CA
Pricing model
Freemium
Open source
Pricing
Starter plan free with $10 credits monthly, 1 GB processed data, 10k scores, 14-day retention. Pro plan $249/month with $100 credits, 5 GB processed data, 50k scores, 30-day retention. Enterprise with custom pricing. Overage charges at $4/GB for Starter and $3/GB for Pro on processed data.
Not given
Key features
Real-time trace inspection
LLM scoring and evaluation
Production monitoring dashboards
Automated pattern detection
Dataset versioning and management
Prompt optimization with Loop agent
Natural language trace investigation
Custom annotation interfaces
Gateway API for unified access
Brainstore database for AI data
AI-native communication protocol with 88 verbs and two syntaxes
AI See: give any AI model vision by pasting i.ilang.ai URLs
Zero installation required, pure text format
Works across ChatGPT, Claude, Gemini, DeepSeek, Qwen and other models
Loader available via pip and npm for automatic protocol injection
Prompt compression: 67% reduction in tokens for typical instructions
What makes it different
Built specifically for agents which fail differently than normal software
Automatic pattern discovery from production data
Framework agnostic with no vendor lock-in
Enterprise security with SOC 2 Type II and HIPAA compliance
Brainstore query engine for faster production debugging
First protocol to formally map Greek mathematical symbols as primitive verbs for AI-to-AI communication
Computable vector space for AI judgment using 11 dimensions and fuzzy mathematics instead of binary classification
Open source and MIT licensed with no royalties or approval required
Operates at the instruction and behavioral layer, complementary to MCP and A2A protocols
Tested and benchmarked with public conformance results and DOI-registered research