Secoda

Emerging

AI-powered data catalog automating metadata, lineage, and Q&A for modern data stacks; $16M from Craft Ventures and YC managing 100M+ metadata resources while reducing analyst onboarding time 50%.

Company Overview

About Secoda

Secoda is a Toronto-based AI-powered data catalog and knowledge management platform that transforms a company's analytics data assets into a searchable, governed knowledge layer — providing automated metadata management, data lineage tracking, quality monitoring, and a data Q&A interface that enables analysts, engineers, and business users to discover, understand, and trust their organization's data without drowning in documentation requests. Founded in 2021 and backed by Y Combinator and Craft Ventures with $16 million raised including a $14 million Series A led by Craft Ventures in September 2023, Secoda manages 100 million+ metadata resources and has reduced analyst onboarding time by 50% for customers.

Business Model & Competitive Advantage

Secoda's AI layer makes the data catalog actionable rather than a static inventory: analysts can ask natural language questions about data ("What is our definition of monthly active users?", "Which tables contain customer PII?", "What does this column mean?") and get answers synthesized from the metadata, documentation, and lineage that Secoda has automatically cataloged from connected data sources (Snowflake, BigQuery, dbt, Looker, Tableau, and other tools in the modern data stack). The automated documentation reduces the manual cataloging burden that makes traditional data catalog deployments fail.

Competitive Landscape 2025–2026

In 2025, Secoda competes in the data catalog and data governance market with Alation (enterprise data catalog, raised $340M+), Collibra (data intelligence, valued at $3.4B), Atlan (collaborative data catalog), and Monte Carlo (data observability with some catalog features) for enterprise data discovery and governance. The data catalog market has consolidated around a few well-funded players while newer entrants like Secoda compete on AI-native search and automation that reduces the implementation and maintenance burden. Secoda's automation of 40% of data requests (questions routed to the AI catalog rather than pinging data engineers manually) provides measurable productivity ROI. The 2025 strategy focuses on growing the modern data stack customer base, deepening the AI Q&A capabilities with multi-source reasoning, and building the data governance features (data classification, privacy tagging) that enterprise compliance teams require.

Revenue
$16M
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Key Differentiators

Emerging Innovator

Secoda is an emerging player bringing innovative solutions to the Infrastructure market.

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