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How it works

Our Infrastructure

1/ Ai data ready

Universal AI compatibility

Make your data ready for usage by any AI service

Compatible with all major AI frameworks and agent protocols including MCP, RAG

No more custom integrations for each new AI tool or client

Flexible deployment

Ingest and process your data in the Alien Intelligence clusters

Or deploy our solution on-premise to keep your data within your infrastructure

Choose the setup that fits your security and compliance requirements

API Gateway & Streaming

Standardized AI endpoints to consume the data. It is streamed in real time to any AI service, agent, or application that needs it

Always up-to-date

Keep your data up-to-date and ready for inference

Automatic updates ensure AI services always work from the latest version

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2/ Programmable AI Ops

Visual workflow editor

Build complex AI agents without writing a single line of code

Create on-shelf capacities for your customers with an intuitive drag-and-drop interface

Design your entire workflow visually

AI-native operations

Use built-in AI blocks to add business expertise on top of your data

Combine multiple AI tools and models within a single workflow

Execution visibility

Monitor executions and get full visibility into automated operation

Track agents usage and understand what brings the most value to your customers

Keep execution history to audit, debug, and optimize your pipelines

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3/ Tracing & Monetization

Usage-based monetization

Sell your data on a streaming model — your clients pay for what they consume

Your data is used for inference, never stored or disclosed

Open a new revenue stream without losing ownership

Full usage visibility

Track interaction your data has with AI services

Know who uses your data and how often

Complete audit trail for compliance and reporting

Data performance insights

Leverage usage stats to understand how your data performs

Identify high-demand segments in your datasets

Benchmark your results versus competitors

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4/ Access Control

Granular access rules

Define precise use conditions at the dataset level

Set usage types — inference only, specific workflows or agents

Apply sector-based restrictions to stay compliant with your data licensing agreements

Data stays under control

Your data is streamed never transferred or stored by the consumer

Revoke or adjust dataset access at any time without disrupting your infrastructure

Compliance by design

Maintain full logs for audits and reporting

Build trust with your clients by making your governance model transparent

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5/ Configurable MCP

Deploy your own MCP server

Generate a fully configured MCP server for an integrated use of your data

Define the commands and tools you want to expose to AI agents and users

Guided setup for optimal command definition and description

Enrich your MCP with prompts

Create and attach prompts to each command to guide users and AI agents

Make your MCP server self-explanatory and easy to use by humans or models

Get discovered

Publish your MCP server to official marketplace and directories

We guide you through the listing and verification process step by step

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6/ Marketplace

Create your Claude plugins

Package your data connectors and AI commands as Claude Code extensions

Reach developers and AI builders actively looking for ready-made integrations

Build a recurring revenue stream

Monetize your extensions with usage-based pricing

Not only you provide the data but also you offer tools to use them

Turn your expertise into a product the AI builder community can rely on

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Let’s build what’s next, together

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