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Myriade

AI analytics that reverse-engineers a messy warehouse first, so answers stay grounded without a semantic layer

paidThree tiers, each combining a platform fee with per-user pricing and an annual commitment, billed monthly or annually with 17% saved on annual. Startup is €149/month platform fee for startups and small teams, plus per-user pricing of €19 Standard, €69 Power and €9 Viewer with a minimum of 2 seats; it covers 1 SQL source, 240 organisation credits and 3,000 API calls per month, on centralised hosting, with no CSM onboarding and no workshops. Business, marked popular, is €649/month billed annually at €7,788/year for established data teams, plus per-user pricing of €49 Standard, €169 Power and €9 Viewer with a minimum of 5 seats; it covers fewer than 4 data-warehouse sources, 1,200 organisation credits, 10,000 API calls per month, VPC or self-hosted deployment, one CSM onboarding and two workshops per year. Enterprise is custom-priced for mid-market and large organisations with a minimum of 20 seats, unlimited sources, fair-use organisation credits, unlimited API, SAML and SCIM, VPC or self-hosted deployment, one CSM onboarding and four workshops per year.View full pricing →

Visit Myriade

https://myriade.ai

About Myriade

Myriade is an AI analytics layer for enterprise data warehouses built around the failure everyone hits when they point a chat interface at production data: real warehouses have incomplete catalogues, contradictory metric definitions, undocumented tables and a decade of decisions nobody remembers, and a generic model on top of that hallucinates confidently. Rather than requiring a semantic layer or a multi-month cleanup first, Myriade connects to the warehouse as-is and runs an autonomous reverse-engineering pass — mapping tables, detecting anomalies, validating metrics and documenting relationships — so the AI's answers are grounded in a model it built and can show its work against. Customers describe documenting an entire warehouse in under a week where the same work previously took months of back-and-forth with the data team. It connects to Snowflake, BigQuery, Databricks, Redshift, Fabric and Oracle, and answers arrive in chat with a trusted marker rather than as unqualified assertions. Deployment options scale with the security review: centralised hosting on the entry tier, VPC or self-hosted from the Business tier, with SAML and SCIM at enterprise level. The company is based in Paris. A named customer testimonial from a Head of Data and AI describes documenting an entire warehouse in under a week, and the product ships a request-trial path rather than a self-serve signup.

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Key Features

Autonomous reverse-engineering of undocumented warehouses
No semantic layer required before you start
Snowflake, BigQuery, Databricks, Redshift, Fabric and Oracle
Anomaly detection and metric validation before answering
VPC or self-hosted deployment from the Business tier

Tags

data-warehouseanalyticssnowflakebigquerybusiness-intelligence
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