Super AI/Software/ Atlas
Live 01 / 13 AI-native data management Operated by humans + agents

Your entire data estate,
made legible to AI.

Atlas ingests, classifies, governs, and serves your entire data estate — across every warehouse, every lake, every legacy system — with zero-trust lineage, policy-as-code, and automatic schema reconciliation. The intelligence layer beneath every other Super AI product.

SAI-ATLAS-001
280+Native connectors
4.7BRows under governance
0.62sMedian query latency
ISO 42001AI governance certified
02 / What it does

Built for the messy reality of real data estates.

Atlas is the answer to a question every data team eventually asks: how do we govern this without slowing it down?

01

Universal ingestion

Native connectors for 280+ sources — from Snowflake and Databricks down to Mainframe DB2 and CSV drops.

02

Policy-as-code lineage

Every column, every transform, every consumer — governed in version control, audited like infrastructure.

03

Semantic layer, automatic

Atlas builds and maintains a business-meaning layer on top of raw schemas. Your AI agents see entities, not tables.

04

Zero-trust by default

Row-level, column-level, and cell-level access controls. Sovereign residency. Every byte attributable.

05

Schema drift handled

Upstream schemas change weekly. Atlas reconciles automatically and surfaces only the breaks that need a human.

06

Observable end-to-end

OpenLineage, OpenTelemetry, and live freshness SLAs on every dataset. Find the broken pipeline in seconds, not days.

03 / Workflow simulator

Watch the data graph build itself.

A new SaaS app gets connected. Watch agents discover schemas, map relationships to the existing graph, generate semantic models, and start serving queries — without an engineer writing a line of integration code.

Speed 1.0×
TRIGGER New connector added: Salesforce production instance
01
Discovery Agent
Crawling object schemas via metadata API
342 objects · 8,420 fields detected
02
Mapping Agent
Matching objects against graph ontology
Account → Company · Contact → Person · Opportunity → Deal
03
Lineage Agent
Tracing dependencies across joined sources
247 cross-system joins identified
04
Quality Agent
Profiling field-level data quality
97% completeness · 3 schema drifts flagged for review
05
Semantic Agent
Generating natural-language semantic layer
Layer ready: 'pipeline by stage', 'churn risk', 'TAM expansion'
06
Query Agent
Indexing for query · running smoke tests
p95 query latency: 187ms · 12 sample queries passed
Outcome New data source online and queryable. Zero code written. Engineering effort that would have taken six weeks: completed in seven seconds.
04 / Get a demo

See Atlas on your data, not a sandbox.

A founding-team engineer will get back to you within one business day with a tailored walkthrough — and an honest read on whether Atlas fits your stack.

06 / Pairs well with

Atlas gets unfair when you run it with these.

Ready to replace something?

Tell us what you're running today. We'll tell you, honestly, whether Atlas is the right tool — and what we'd swap in if not.