The data trust platform

Something changed.Yugma tells you what.

Yugma checks, reconciles and monitors the data behind every report and explains any problem in plain English, so your team can trust every number.

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Works with

  • Snowflake
  • Databricks
  • Microsoft Fabric
  • Oracle
  • Apache Hive
  • Presto
  • Business rulesPlain English to checks
  • ReconciliationSource vs target
  • Data qualityPipelines & alerts
  • GenAI intelligenceExplains every failure

Your data stays in your warehouse. AI works on metadata and results.

01The challenge

Data is everywhere.
But trust is missing.

The same numbers live in Snowflake, Databricks, Oracle and more - and they rarely agree. Rules live in people's heads, and checks are run by hand.

  • Siloed data across platforms
  • Numbers that don’t match between systems
  • Manual, one-off validation scripts
Snowflake
Databricks
Microsoft Fabric
Oracle
Presto
Apache Hive
Revenue $4.21M ≠ $4.18M
3,402 duplicate rows
Schema drift · orders
12% nulls in customer_id

02One platform

Bring it all together
with Yugma.

Connect your platforms once. Yugma profiles every table, then runs rules, reconciliations and quality checks from one workspace.

See how it works
WarehousesDatabasesQuery engines
Data trust layer
Profile
Validate
Reconcile
Monitor
Explain

03See it in action

From insight
to impact.

Explore the product
Sales AnalyticsDG

Profiling

Tables, columns and keys from your connected platforms.

SALES.PUBLIC.ORDERSProfiled

AI description

From profile

Table

Rows
1,248,392
Columns
18
Type
BASE TABLE
Last altered
2h ago
NameTypeNullableComment
ORDER_IDNUMBERNoOrder identifier
CUSTOMER_IDNUMBERNo→ CUSTOMERS
ORDER_DATEDATENoLocal store date
AMOUNTNUMBER(18,2)YesGross, in USD
Profiling

04Use cases

Trusted data
drives bigger outcomes.

Close the books with numbers that match - from the ledger to the board report.

  • GL vs reporting reconciliation
  • Balance and amount tolerances
  • Audit-ready run history
Talk to us about yours
Finance customer environment

GL ↔ reporting

row_count
column_stats
pk_integrity
Example · Month-end close

Reconcile the Oracle general ledger against the Snowflake reporting layer, and get a plain-English summary before finance signs off.

05Why teams trust Yugma

Built to be trusted.

0

Data platforms

Snowflake, Databricks, Fabric, Oracle, Hive, Presto

0

Reconciliation checks

From row counts down to the exact rows that differ

0

Data quality dimensions

Completeness to referential integrity

  • Snowflake
  • Databricks
  • Microsoft Fabric
  • Oracle
  • Apache Hive
  • Presto

Your data stays put

Checks run as SQL inside your warehouse. AI sees metadata and check results - never raw rows.

Bring your own AI

Use Gemini, OpenAI or Anthropic with your workspace’s own key.

Locked-down workspaces

Member roles, row-level security on every table, and encrypted connection secrets.

Every run on record

Full run history and logs, with credentials and SQL literals redacted.

Your data. A brighter tomorrow.

Let's build a more
trusted future, together.

Make every number one your team can stand behind.

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Yugma - The data trust platform