Build, deploy, and scale autonomous AI agents with expert human oversight
The native language of AI; in human terms, a protocol.
Stage
Established
Startup
Founded
2021
2026
Based in
US
CA
Pricing model
Contact for pricing
Open source
Pricing
Fixed monthly subscription with custom pricing based on user licenses and needs. No hidden fees, annual subscriptions with monthly payments. 2-day expert-led discovery workshop costs are 100% credited toward subscription pricing.
Not given
Key features
Enterprise Context Engine™ to structure organizational knowledge for AI decisions
Agentic AI agents that scan, test and act on data on schedule or on demand
No data migration required; connects to existing systems
700+ prebuilt data connectors and integrations
Deployment on AWS, Azure, or GCP with flexible hosting options
Enterprise compliance: SOC 2 Type II, HIPAA, GDPR, ISO 42001
Model-agnostic platform working with existing enterprise infrastructure
Compounding Intelligence where each solution builds on the last
Transparent and auditable workflows with full lineage tracking
Expert-led 2-day discovery workshops with PhD-level data scientists
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
Hybrid Approach™ pairing agentic AI with human expert oversight for accountability
Production-ready AI in weeks, not months
70% faster from start to go-live year over year
Outcome-based guarantees and PoC engagements for risk-free transformation
Full platform access for unlimited solution creation and deployment
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
RapidCanvas
iLang Inc.