Velum Labs

Velum Labs

The OS for data quality across any stack

Winter 2026ActiveB2BMachine LearningData EngineeringSan Francisco, CA, USA
Velum is the operating system for data quality. We observe real data traffic to automatically derive contracts, trace lineage across any stack, and enforce integrity from ingestion to executive dashboards - no manual rules, no migration required. Data trust you can prove. From the pipeline to the boardroom.

Verdict

High Signal
Market Opportunity
Data quality/observability is a well-established B2B enterprise market with TAM north of $5B. The ICP is clear — data platform teams at mid-to-large companies with multi-team analytics stacks (dbt, Snowflake, BigQuery). Semantic drift and inconsistent metric definitions are a real, documented pain point that Airbnb, Uber, and others have spent years solving internally. Monetization path via SaaS tooling for data teams is well-proven.
Medium Signal
Founder Signal
Benjamin Muñoz-Cerro attended Stanford (2021-2025) and Harvard for physics — essentially a fresh grad with strong academic pedigree and research affiliations (CERN competition, Samsung Solve for Tomorrow winner) but no industry work experience visible. CTO Alen Rubilar-Muñoz has no LinkedIn available, described only as 'ml swe | hackathon winner' in YC bio. Academic credentials are impressive but neither founder appears to have shipped production software at a real company or sold to enterprise data teams.
Medium Signal
Competition
Direct competitors include Monte Carlo, Soda, Great Expectations, Atlan, and dbt's own semantic layer (MetricFlow). The traffic-observation-first approach (no manual rules) is a meaningful differentiation vs. rule-based tools like Great Expectations or Soda. However, dbt Labs, Databricks (Unity Catalog), and Atlan are well-funded and moving fast in semantic layer territory. The 'PR-native enforcement' angle is novel but easily replicable by incumbents.
Medium Signal
Product
Website has comprehensive product description with 3-step workflow (Divergence detection, root cause Understanding, Resolution/contracts). Extensive integrations listed (Snowflake, BigQuery, dbt, Looker, Databricks, Redshift, Postgres, Kafka, Fivetran, Airflow). Detailed founder bios. No named customer logos, no pricing page visible, no revenue metrics. CTA is 'Request demo' suggesting pre-launch phase.
OverallB Tier

Velum Labs is attacking a real, high-value problem in data quality with a comprehensive product website showing detailed workflow (Divergence, Understanding, Resolution), extensive integrations (Snowflake, BigQuery, dbt, Looker, Databricks), and professional positioning. No lows across any signal dimension. However, they are still in pre-launch/design partner phase with no named customers or revenue metrics. Competition from Anomalo, Monte Carlo, and other data observability platforms is real but not insurmountable.

Active Founders

Benjamin Muñoz-Cerro
Benjamin Muñoz-Cerro
Founder

CEO @Velum Labs | stanford quantum computing | harvard physics

Alen Rubilar-Muñoz
Alen Rubilar-Muñoz
Founder

CTO @ Velum Labs | ml swe | aspiring mathematician | hackathon winner | world citizen

Velum Labs
Velum Labs
TierB Tier
BatchWinter 2026
Team Size2
StatusActive
LocationSan Francisco, CA, USA
Last Updated2 days ago