f_order_raw

2.4M

ord_idcust_refamt+2

inv_v1

890K

inv_noord_idtotal+2

crm_export_2024

148K

contact_idcompanyseg+1

product_master_FINAL

34K

skudesccat+2

ga4_events_raw

12M

event_idsesspage+2

erp_ship_log

1.1M

ship_idord_idcarrier+1

tmp_supplier_list

2.3K

supp_idnamecountry+1

returns_ALL

67K

ret_idord_idreason+1

store_ref_v3

1.2K

store_cdcityregion+1

stock_snapshot_daily

4.8M

snap_dtskuwh_id+1

crm_activities_dump

3.2M

act_idcontact_idtype+1

mktg_spend_2023_24

520K

camp_idchannelspend+1

hr_employees_bkp

4.8K

emp_iddeptrole+1

tickets_jira_sync

210K

tick_idcust_idprio+1

stg_ga4_sessions_v2

8.6M

sess_iduidsrc+1

AI-Native Data Intelligence

Reliable AI analytics. Even on messy data.

Connect your warehouse. Get trusted answers in hours. No cleanup required.

Try on open data ↗

f_order_raw

2.4M

inv_v1

890K

crm_export_2024

148K

💬Ad-hoc question

What's our return rate by category over the last 90 days?

📊Strategic insight

Which customer segments have the highest LTV but lowest retention?

🚨Proactive alert

Shipping SLA breach detected — 38 orders delayed from warehouse EU-3

They trust us. And their data.

Jean-François J.

Head of Data & AI — Jules

Marie D.

CDO — Promod

Thomas R.

VP Data — Retail Group

Sophie L.

Data Engineer — Jules

Alexandre M.

Head of BI — Promod

Clara B.

Data Analyst — Fashion Corp

The core problem

Why AI fails on enterprise data.

Your warehouse is full of undocumented tables, contradictory metrics, and tribal knowledge buried in people's heads. Plug AI into that mess, and you get confident-sounding nonsense. Myriade fixes the foundation first.

Raw Warehouse Schemas

Snowflake

BigQuery

Databricks

Redshift

orders_v3_final_COPY

idVARCHAR(255)nullable

amoutSTRINGFLOAT

dateTEXTno format

prod_customers_BQ

cust_IDINT≠ customer_id

revenueDECIMAL≠ turnover

NULLNULL87% empty

tmp_margins_sf_2024

sku_ref???no FK

margin_%TEXT"12,5%"

4 warehouses∅ joinsNo docsSchema driftDuplicates

Your Trusted Data

Documentation

Revenue by channel

Margin per SKU

Cohort retention

AI Agents · Multi-query

Reliable Intelligence

unified_ordersgoverned

order_idUUIDPK

amountDECIMAL(10,2)validated

dateTIMESTAMPISO 8601

mart_revenuedocumented

channelENUMFK

gross_marginDECIMALcalc

cohortDATEindexed

1 source of truthCachedRBACAuto-docsLineage

What changes with Myriade.

Problem

Your data team drowns in messy work — debugging pipelines, writing docs, cleaning transformations. Innovation stalls.

Solution

AI agents automate the tedious: documentation, lineage, quality checks. Engineers ship value instead of firefighting.

orders_factAuto-documented

order_idINTUnique order identifier

customer_idINTFK → customers.id

gross_revenueDECIMALTotal before discounts (€)

marginDECIMALAmbiguity detected

Ambiguity detected on margin

2 conflicting definitions found → suggestion sent to your team

AskLearnImprove

Every question makes Myriade smarter. The more your teams use it, the more accurate and relevant it becomes.

Case Studies

They transformed their data stack.

“We documented over 150 tables in less than a week with Myriade. 90% of the data was validated automatically.”

Jean-François Jouannais

Head of Data & AI Product, Jules

150+ tables90% auto-validated-60% data tickets

“Our marketing and merchandising teams query the data warehouse directly in natural language, without depending on the data team.”

Marie Delcroix

CDO, Promod

÷3 Time-to-Insight+40% productivity-35% warehouse costs

Why Myriade

Own your Intelligence

Multi-Cloud

Snowflake, BigQuery, Databricks, Redshift. Connect or use any data provider. Keep your intelligence if you move.

Plug & Play in 48h

From connection to first trusted answers. Not months. Hours.

ISO 27001 Certified

Enterprise-grade security. On-premise or dedicated cloud.

Full Portability

Every definition and business rule Myriade learns stays yours. Export anytime. No lock-in.