The operating system
for data quality.
Your data breaks silently, constantly, everywhere. Alma watches your entire data lifecycle — from ingestion to dashboard — and catches what's wrong before anyone else notices. No manual rules. It learns from your real query traffic.
WORKS ACROSS YOUR ENTIRE STACK
Connect in minutes. Value in hours.
We're not promising perfection. We're promising a GPS — when your data goes off course, you'll know immediately and get back on track fast.
Connect
Point Alma at your warehouse — Snowflake, BigQuery, Databricks, Postgres. It reads your query logs. No changes to your pipelines, no SDK, no new infrastructure. Five minutes.
Observe
Alma analyzes real query traffic to learn how your data is structured, who consumes it, and what normal looks like. It generates contracts and builds lineage automatically. First insights in hours.
Protect
When something drifts, Alma tells your team — before it reaches a dashboard, a model, or a customer. When a query is already returning wrong results, Alma surfaces it. Your team goes from reactive to proactive.
Expand
Start with one high-value data source. Prove value in weeks, not months. Then expand across your entire warehouse — more sources, more layers, more coverage. The OS grows with you.
Data quality isn't one problem. It's every problem.
No single tool fixes this. You need an operating system.
It breaks at ingestion.
A field changes type during a backend migration. The pipeline accepts it because it checks required, not type. Nobody catches it for six weeks — until a finance analyst notices a JOIN that stopped matching.
It breaks in transformation.
Someone changes a WHERE clause. A column gets renamed. Schema evolution is a multi-day effort for multiple engineers — and only the teams that really care bother to trace the downstream impact. The rest ship and hope.
It breaks at the dashboard.
Two teams compute the same metric differently. Both are "right" in their context. Both produce different board decks. When the exec finds the discrepancy, they don't investigate — they throw out all the data and revert to gut feelings.
It breaks silently.
Queries don't fail — they just return wrong results. A JOIN on a changed column type quietly drops rows. A dashboard keeps rendering with bad numbers. The worst data incidents aren't the ones that trigger alerts. They're the ones nobody knows about.
And now AI is amplifying all of it.
Agents don't look at a chart and think "that doesn't seem right." They read the data and act — approving transactions, adjusting pricing, triggering workflows. The error surface went from one bad decision to a thousand bad decisions before anyone noticed.
Not one tool. An operating system.
Data quality breaks at every layer of the stack — ingestion, transformation, storage, consumption. Existing tools pick one layer and hope it's enough. It never is. Alma covers the entire data lifecycle as a single platform.
Ingestion validation
Catch type changes and schema drift the moment data enters your warehouse
Schema evolution
Track how schemas change over time, flag breaking changes before they propagate
Contract enforcement
Auto-generated data contracts derived from real query traffic, not manual YAML
Lineage tracking
Live dependency maps built from production queries, always current
Drift detection
Continuous monitoring of value distributions, null rates, and query patterns
Confidence dashboards
Trust scores for every table, column, and query so executives know what to believe
dbt contracts catch what you change. Alma catches what changes without you.
Six layers. One system. Already working.
Alma covers your entire data lifecycle — from the moment data enters your warehouse to the moment an executive makes a decision on it.
Automated Data Contracts
Alma generates data contracts by analyzing your actual query patterns. You get a clear specification of what each dataset should look like, who depends on it, and what breaks if it changes. When someone proposes a schema change that would impact downstream consumers, Alma flags it before it ships. No YAML authoring. No months of manual work.
Query-Derived Lineage
A live dependency graph built from production query traffic. Which teams depend on which datasets, how far a change propagates, where your highest-risk dependencies live. Not documentation someone wrote last year — what's actually happening in production right now.
Broken Query Detection
The queries that don't fail — they just lie. A JOIN that quietly drops rows. A filter that silently passes everything. Alma surfaces queries that are returning wrong results right now, and shows you exactly what changed, when, and who's affected.
Ingestion Validation
Type enforcement and schema checks at the pipeline layer, before data hits the warehouse. When a backend migration changes a field from numerical ID to LDAP string, Alma catches it at the gate — not six weeks later when a finance analyst notices a broken JOIN.
Drift Detection
Continuous monitoring of value distributions, null rates, and cardinality changes. When a field that was 99% populated drops to 60%, when a column's value distribution shifts overnight, when optional fields start silently going empty — Alma flags it.
Confidence Dashboards
Trust scores for every table, column, and query in your warehouse. Executives see at a glance which data they can make decisions on and which they can't. Data leaders quantify their data debt: "847 uncontracted query patterns across 12 teams" — and systematically reduce it.
The system learns what “correct” looks like.
Learns from real traffic
Query patterns reveal the real semantic model: how teams define metrics, which columns carry meaning, what normal distributions look like. No rules to write.
Covers every layer
Ingestion, transformation, storage, consumption. Most tools pick one layer and hope it's enough. Alma monitors the full data lifecycle as a single platform.
Catches silent failures
The worst incidents aren't the ones that break loudly — they're the ones that quietly return wrong results for weeks. Alma surfaces what alerts never will.
AI-ready data trust
Every table, column, and query gets a confidence score. Your agents check it before they act. Bad data gets caught before it becomes a bad autonomous decision.
Built for the teams that live with data every day.
Engineers see their pain reflected. Executives see their outcome. Everyone gets an operating system that works.
For Data Engineers
Stop writing YAML contracts by hand. Stop triaging why this metric doesn't match that metric. Stop getting Slack messages at 2am about a broken dashboard. Alma does the work you don't have time to do.
For Data Leaders
Know the health of your data at a glance. Quantify your data debt — "you have 847 uncontracted query patterns across 12 teams" — and systematically reduce it.
For Executives
Trust the numbers in the board deck. When the data says revenue is up 12%, know that 12% is real — not an artifact of a broken JOIN that nobody caught. Make decisions on data, not gut feelings.
For AI Teams
Build agents on data you can trust. Every table, column, and query has a trust score. Your agents check it before they act. Bad data gets caught before it becomes a bad autonomous decision.
Fits your stack. No lock-in. No rip-and-replace.
Alma connects to the tools you already use. No rip-and-replace, no new infrastructure, no lock-in.
WAREHOUSES
INGESTION
ORCHESTRATION
TRANSFORMATION
BI
Don't see your stack? Talk to us.