The Living Contracts Platform for Data Products

Contracts that enforce themselves

Auto-generated from your code. Evolved by your teams. Binding on your pipelines. Stop wasting time documenting data governance — make it automatic, collaborative, and actually enforced.

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The Data Governance Trap

❌ Contracts Stay Static

Data contracts are defined once, then ignored. Schemas change. Definitions drift. Teams are left with documentation that no one trusts or updates.

❌ Governance Isn't Enforced

You define SLAs and quality rules in spreadsheets and wikis. Pipelines ignore them. Broken contracts silently destroy data quality downstream.

❌ Engineers and Business Don't Speak the Same Language

YAML contracts are too technical for business users. Confluence docs are too vague for engineers. No collaboration, no alignment, no accountability.

❌ AI Models Train on Bad Data

Almost 1/3 of GenAI projects fail due to poor data quality. Without contracts enforced at runtime, your ML models inherit bad data and produce unreliable predictions.

How Data Lineage Works

We turn data governance from a documentation problem into an automation problem. Contracts auto-generate from your code, collaborate visually, and enforce at runtime.

1. Auto-Generate Contracts from Code

Scan your dbt, Airflow, Spark, and SQL. Infer schemas, transformations, and dependencies. Generate OpenDataContractStandard-compliant YAML in minutes. Get from zero to 80% contract coverage before your first meeting.

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2. Visual Collaboration—No YAML Required

Business users, data owners, and analysts define contracts visually. No YAML needed. Update SLAs, ownership, data quality rules. Changes sync back to Git automatically. Engineering and business finally speak the same language.

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3. Enforce Contracts at Query Time

Queries fail early if they violate contracts. Schema drift detected. Quality rules enforced. Ownership mismatches caught. Broken contracts never silently cascade downstream. Your pipelines protect themselves.

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4. Lineage as Contract Context

Automatically generated lineage shows contract dependencies. Business users see where metrics come from, who owns them, and what guarantees you make. Lineage becomes actionable, not just visual diagrams.

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5. AI-Ready Semantic Access

Your contract layer becomes the trusted interface for AI agents. Agents query contracts by name, not raw SQL. They get consistent, governed results every time. No hallucinations. No broken joins.

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6. Version Control + Audit Trail

Every contract change is tracked in Git. Full audit trail of who changed what, when. Compliance reviews become trivial. Rollbacks are one click. Contracts evolve, not break.

The Contract-Lineage Loop: How It Works in Practice

Watch as a schema change cascades through your contracts—and how you prevent it from breaking downstream:

1

Schema Change Detected

Column user_id renamed to user_identity

2

Contracts Flagged

This column is part of 3 active contracts. All flagged automatically.

3

Impact Analysis

Visual diff shows: 14 downstream models affected. 2 metrics broken.

4

Enforce & Recover

Pipeline fails intentionally. Data owner approves change. Contracts auto-update.

How We're Different

Capability Data Lineage Generic Lineage Tools Data Catalogs Platform Tools
Auto-generate contracts from code
Visual contract authoring (no YAML) Partial
Enforce contracts at query time
Collaborative + Git-managed Partial Partial
Lineage auto-generated from code Partial Partial
Semantic layer integration Limited Limited
AI agent ready Limited

Who Wins With Data Lineage

🏦 Financial Services

Problem: Regulatory audits demand proof of data lineage. Compliance teams drown in manual documentation.

Solution: Contracts auto-generate audit trails. Lineage is always current. Auditors see exactly what data powers decisions.

🤖 AI/ML Teams

Problem: 1/3 of GenAI projects fail due to bad data. Models train on drifting schemas and corrupted data quality.

Solution: Contracts define data expectations before training. Enforcement prevents schema drift. Models train on reliable data.

📊 Analytics & BI

Problem: Business teams get different numbers in different dashboards. Metrics are defined in 10 different places.

Solution: Single source of truth for metrics. Contracts define ownership and quality guarantees.

🔄 Data Platform Teams

Problem: Managing 100+ pipelines manually. Schema changes break things silently. No accountability for data quality.

Solution: Contracts enforce governance at scale. Teams self-serve with guardrails built in.

🏥 Healthcare / Privacy-Heavy

Problem: HIPAA and GDPR compliance requires traceability. PII tracking is manual and error-prone.

Solution: Contracts mark sensitive data. Lineage traces PII end-to-end. Automatic audit trails.

⚡ Modern Data Stacks

Problem: You have dbt, Snowflake, and BI tools but no governance layer to bind them together.

Solution: Contracts tie your entire stack together. One layer of governance across everything.

Impact By The Numbers

70%
faster time to contract coverage
14x
fewer broken pipelines from schema drift
30%
reduction in incident response time

Ready to Stop Documenting and Start Enforcing?

Join the waitlist for early access. Auto-generate contracts from your existing code. See the contract-lineage loop in action.

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