Source Code Intelligence

Decode Your Enterprise

Automatically uncover the ontology, business definitions, metrics, relationships, and lineage hidden inside your production systems to create trusted context for governance and AI.

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Trusted by lean, mean data teams everywhere

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hallmark
Bedrock
magiclap
Zain
upwork
delta community
parexel
gusto
Getty Images
The Reality

Your Business Logic Already Exists.
It's Just Hidden Where Humans and AI Can't Find It.

Your business logic already lives in SQL, ETL pipelines, BI reports, and stored procedures. The problem isn't missing knowledge; it's that this knowledge is buried in code that neither people nor AI can easily read.

Frame 01 (1)

AI Has Data, But Not Business Context

AI can access tables and documents, but it can't understand the business logic hidden inside your pipelines and reports. Without that context, it guesses instead of knowing.

Frame02

Enterprise Knowledge Takes Years to Build

Business definitions already exist inside production logic, but because they're hidden in code, organizations rely on workshops, interviews, and documentation sessions to recreate what the systems already know.

Frame03

Lineage Is Inferred Instead of Proven

Most tools infer lineage from query history or metadata, missing conditional logic, stored procedures, and business transformations that exist only in the source code.

How It Works

Straight From the Source, Literally.

Instead of relying on interviews, documentation, or query history, OvalEdge reads production code directly to uncover how your business actually works.

Millions of Lines of Enterprise Code
SQL ETL dbt Python APIs Power BI Tableau Qlik Stored Procs XML
Source Code Intelligence
Read Understand Connect Power
Enterprise Context Graph
Business Terms Metrics Ontology Entity Relationships Lineage
Frame 4

Read

Read SQL, ETL, BI models, notebooks, APIs, stored procedures, and application code, without executing anything.
Frame 3

Understand

Identify formulas, business rules, joins, transformations, and dependencies exactly as they exist in production.
Frame 2

Connect

Connect formulas, metrics, and business terms to the physical tables, columns, and systems that implement them.
Frame

Power

Provide trusted context (Ontologies, Terms, Metrics, Lineage, and Entity Relationships) to every AI agent.
Use Cases

One Engine. Every Use Case Grounded in Truth.

Every capability below runs on the same principle: read the real logic, deliver the real answer, faster.

Frame (1)
Ground Truth

Lineage & Impact Analysis

Column-level, cross-system lineage generated directly from code - not inferred from logs. See exactly what breaks, upstream and downstream, before you change a thing.
Frame-1
Ground Truth

Enterprise Context Graph (for Agents)

A structured, code-accurate map of your data landscape that Al agents can query and trust-so they act on real logic, not a hallucinated guess.
Frame-2
Ground Truth

Business Glossary

The exact formula behind every business term, pulled straight from the code that calculates it. Not a committee's best guess - the actual definition, every time.
Frame-3
Speed

Migration & Modernization Acceleration

Know exactly what logic needs to move before a migration starts, and what's safe to leave behind. Turns weeks of manual code review into hours.
M&A Data Comparison
Speed

Root Cause Analysis

When something breaks downstream, trace it back to the exact line of code that caused it combing through pipelines by hand.
Frame-5
Ground Truth

Compliance & Audit Trail

Prove exactly where sensitive data flows through your code, not just your pipelines. Built for GDPR, CCPA, and SOX-level scrutiny.
Frame-6
Speed

Dead Code & Technical Debt Detection

Surface unused pipelines, orphaned tables, and redundant logic your team didn't know existed- and retire it with confidence, not fear.
Supported Sources

Reads the Languages Your Data Already Speaks

One normalized graph across every platform, dialect, and language in your stack.

SQL Dialects

Snowflake

Redshift

BigQuery

Teradata

Oracle

ETL / ELT

Informatica

dbt

Talend

SSIS

BI & Semantic Layers

Tableau

Power BI

Looker

Qlik

Languages

Python

Scala

Explore all 170+ connectors
Why OvalEdge's Source Code Intelligence

Built for Truth. Built for Speed.

1

Ground Truth, Not Guesswork

Reads the actual code, so every lineage path, formula, and definition traces back to real logic — not an inferred approximation.

2

No Runtime Dependency

Catches logic that's never executed and conditional paths that log-based tools never see.

3

One Graph, Every Source

Normalizes SQL, ETL, scripts, and BI logic across your entire stack into a single connected model.

4

Built for People and Agents

The same trusted context that powers human-readable lineage also grounds every AI agent that touches your data.

Trusted by Data and AI Teams to Deliver

"We have seen dramatic results across the board by implementing [OvalEdge], centralizing our metadata with the OvalEdge catalog, and enabling self-service data education."

Dr. Su Rayburn-1

Dr. Su Rayburn

VP, Information Management & Analytics

"OvalEdge stands out for its holistic approach, providing everything from business glossary to data lineage, all seamlessly integrated. The auto-lineage feature saves us months of work."

Sergei Vandalov-1

Sergei Vandalov

Sr. Manager, Data Governance & Analytics

"It gives us a single source of truth — mapping out where data lives, who owns it, and how it should be interpreted."

Cathy Pendleton-1

Cathy Pendleton

Sr. Manager, Data Governance

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Ready to decode your enterprise?

See the business logic already buried in your code. That's data governance that delivers.