Typedef provides a continuously updated Data Context Layer—a live knowledge graph that maps definitions, pipelines, dashboards, and runtime metadata across modern data stacks. By ingesting metadata from tools like dbt, Airflow, Snowflake, Kafka, and Looker, it enables AI agents to perform automated root‑cause analysis, impact tracing, and metric reconciliation with enterprise‑grade security and compliance.
Funding
$5.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
2OFounders
Product
Problem
Modern data stacks span warehouses, transformation tools, orchestration pipelines, BI platforms, and streaming systems, creating complex interdependencies that are hard to track. When pipelines fail, metrics drift, or code changes break downstream dashboards, engineers must manually investigate across multiple tools, consuming significant time and risking unreliable analytics.
Solution
Typedef creates a continuously updated Data Context Layer—a live knowledge graph that maps every definition, pipeline, dashboard, and system across a data platform. By ingesting metadata from sources such as dbt, Airflow, Snowflake, Kafka, Looker, and others, Typedef provides system‑level lineage, semantic resolution, and impact tracing. AI agents can query this context to perform automated root‑cause analysis, end‑to‑end impact assessment, and metric reconciliation, delivering explainable, traceable answers. The platform runs inside a private VPC with SOC 2 Type II and GDPR‑aligned controls, ensuring enterprise‑grade security and auditability.
Target Audience
Typedef is aimed at platform and data engineers responsible for building and maintaining data pipelines, as well as analytics, BI, and RevOps teams that need reliable, reconciled metrics across the organization.
Features
- Live, connected map of definitions, pipelines, dashboards, and runtime metadata across warehouses, streaming, and BI tools
- Cross‑system lineage that survives handoffs between record, transformation, and analytics layers
- Automated root‑cause analysis that isolates failing nodes when pipelines break
- Impact tracing that shows the full blast radius of code changes before merge
- Semantic validation that compares metric logic, grain, filters, and aggregations across all models
- Report reconciliation linking each metric to its source and downstream consumers
- Enterprise‑grade security with SOC 2 Type II, GDPR compliance, VPC deployment, SSO/RBAC, encryption, and no data egress