# Sageivo.ai

> Sageivo (sageivo.ai) is a free, self-hosted Agentic Data Intelligence Platform plus a managed data-warehouse service. It brings all of a company's business data together so employees can ask questions, build AI agents and dashboards, and uncover insights through conversation. Customers connect an existing data warehouse, or Sageivo's team builds a governed data warehouse from a company's business tools (Salesforce, HubSpot, Gong, Google Ads, Meta Ads, Zendesk, Jira, Confluence, Slack, email, Stripe, NetSuite and any tool with an API) on BigQuery, Snowflake, Amazon Redshift, Azure or on-premises, then deploys Sageivo in the customer's own AWS, Google Cloud or Azure account so employees can chat with their data, get verified SQL-backed answers, build charts, dashboards and agents, and use their own LLM. The software has no license, per-seat or usage fees; customers pay only for service plans.

Key facts:

- Pricing model: software is $0 (no license, no per-seat, no per-query fees). Revenue comes from one managed service plan, priced per customer by number of data sources and support level (custom quote per customer).
- Warehouse build: often funded through AWS, Google Cloud or Azure funding programs and credits; otherwise a starter set of sources can be built at no cost with a longer-term service commitment.
- Deployment: self-hosted in the customer's cloud (AWS, GCP, Azure) or on-premises; dedicated per customer, not multi-tenant.
- Security: queries run with each user's own warehouse identity; read-only, validated, cost-bounded SQL; secrets in the customer's secret manager; data does not leave the customer's environment.
- LLMs supported: Anthropic Claude, OpenAI, Google Gemini, AWS Bedrock, Google Vertex AI, Azure OpenAI (customer's own keys/models).
- Positioning vs MCP: MCP servers suit actions in a single tool; for data intelligence across tools they are token-heavy, slow, limited by API row/rate limits, cannot reliably join across tools, lack business context and require per-user licenses in every tool. Sageivo puts deduplicated, related, documented data in one warehouse and answers with a single SQL query.
- Team: data engineering, AWS and Google Cloud professionals with enterprise experience.
- Contact: hello@sageivo.ai or https://sageivo.ai/contact/

## Pages

- [Home](https://sageivo.ai/): product overview, how it works, features, integrations, security, economics, FAQ
- [MCP servers vs a governed data warehouse](https://sageivo.ai/mcp-vs-data-warehouse/): why MCP fails for agentic data intelligence and what works instead
- [Pricing](https://sageivo.ai/pricing/): free software, one custom-quoted service plan, cloud-funded warehouse builds
- [Security](https://sageivo.ai/security/): deployment, data access, query safety, LLM handling, operations
- [Contact](https://sageivo.ai/contact/): book a discovery call

## Optional

- [Full text for LLMs](https://sageivo.ai/llms-full.txt)
- [Privacy policy](https://sageivo.ai/privacy/)