| What it does | The Platform for Production-Ready Agentic Workflows
| The native language of AI; in human terms, a protocol.
|
|---|
| Stage | Established
| Startup
|
|---|
| Founded | Not given
| 2026
|
|---|
| Based in | US
| CA
|
|---|
| Pricing model | Freemium
| Open source
|
|---|
| Pricing | Sandbox (free), Professional ($590/year per workspace), Team ($1,590/year per workspace), and custom Enterprise pricing. Message credits included monthly.
| Not given
|
|---|
| Key features | - Workflow Studio - Visual builder for agentic workflows
- Agent builder - Create agents with skills, tools, and knowledge
- Knowledge Pipeline - Prepare searchable knowledge bases
- Marketplace - Explore tools, models, and integrations
- Multi-deployment options - Cloud, VPC, or self-hosted
- Publish and monitor - Ship as app, API, or tool
- Visual execution path - Turn prompt logic into visible workflows
- Unified workspace - Bring AI stack into one platform
- Enterprise features - SSO, SAML, RBAC, audit logs
| - 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 | - No-code platform that democratizes AI agent development for beginners
- Deploy from prototype to production without rebuilding the stack
- Unified workspace for agents, workflows, and knowledge pipelines
- Enterprise-ready with SSO, RBAC, audit logs, and compliance certifications
| - 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) | 79 ▲ +1 (up) since last check | 38 ▲ +1 (up) since last check |
| Trust Flow (Majestic) | 33 | 7 |
| Citation Flow (Majestic) | 52 | 27 |
| Referring domains (Majestic) | 6338 | 66 |