| What it does | Shared memory for regulated companies and their AI agents
| The native language of AI; in human terms, a protocol.
|
|---|
| Stage | Not given
| Startup
|
|---|
| Founded | Not given
| 2026
|
|---|
| Based in | US
| CA
|
|---|
| Pricing model | Freemium
| Open source
|
|---|
| Pricing | Team plan: $10/person/month with 14-day free trial, includes meeting recording, email and calendar enrichment, knowledge organized by topic, private scopes and projects, agent keys with custom permissions, import existing brain, and MCP for all agents. Enterprise plan: custom pricing for regulated a
| Not given
|
|---|
| Key features | - Records and transcribes meetings with visible participant
- Automatically extracts facts from email and calendar
- Scoped access control with automatic sorting
- Private projects limited to members
- Agent API keys with read-only or read-write permissions
- Works with Claude, ChatGPT, Cursor, Codex over MCP
- Import existing brain from markdown, Obsidian, or GBrain
- Facts organized by topic with full history
- Raw email stays private to owner, team sees extracted facts only
- 180 days of email history imported on day one
| - 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 | - Every fact is scoped automatically by sensitivity level and agents see only what their teammate can access
- Agents can write back to the same brain over MCP, updating shared knowledge in real time
- CASA Tier 2 security assessed and verified by Google for Gmail and Calendar access
- Onboard entire team in under 5 minutes with one-click Google sign-in
- Data never used to train AI models, privacy verified in policy
| - 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
|
|---|
| Free plan | Not given
| Not given
|
|---|
| Open source | Not given
| Not given
|
|---|
| Platforms | Not given
| Not given
|
|---|
| Public API | Not given
| Not given
|
|---|
| Community votes | 0 | 0 |
|---|
| DR (Domain Rating by Ahrefs) | 2 ▼ −1 (down) since last check | 38 ▲ +1 (up) since last check |
|---|
| Trust Flow (Majestic) | 9 | 7 |
|---|
| Citation Flow (Majestic) | 26 | 27 |
|---|
| Referring domains (Majestic) | 32 | 66 |
|---|
Nysa
iLang Inc.