Data Infrastructure · sub-niche
Data contract platforms.
Enforce data shape and quality at the producer, not the consumer.
One-quarter buildSteady — one deal per month
Why now
Data quality is broken because contracts aren't enforced. Producer-side enforcement is the unlock.
What the signal looks like
Repos with schema-registry integration, CI checks for breaking changes, and producer SDKs in major languages.
Public examples
We name publicprojects + categories only — never founders we track inside the paid product. The buyer’s edge stays inside the product.
- Gable.ai shape
- Soda / Monte Carlo extension
- Open-source data-contract libraries
What this displaces
A Slack channel where data engineers complain about producer breakage.
Our build-vs-invest call
Wedge with data platform teams. Fund teams shipping Kafka + dbt + Airflow integrations early.
Common questions about this niche
- Buyer?
- Data platform + data engineering teams.
- Pricing?
- Per contract or per pipeline.
- Moat?
- Integration footprint + community.
More inside Data Infrastructure
- Vector database engines — Vector search engines optimized for specific workloads — high-dimensional, hybrid, or local.
- Real-time feature stores — Feature stores with sub-second freshness for online ML.
- Postgres extension marketplaces — Postgres is now the AI database. The extension ecosystem is the next platform.
- Columnar warehouse alternatives — Snowflake / BigQuery alternatives optimized for a specific shape — cheap, fast, or open.