Secoda
Secoda is an AI-native data intelligence platform that unifies data cataloging, lineage, observability, governance, and documentation for mid-market and enterprise data teams, using RAG and a multi-agent architecture, and was acquired by Atlassian in December 2025.
- Company typePrivate
- Founded2021
- HeadquartersToronto, Canada
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Secoda does
Secoda is a Toronto-based, AI-native data intelligence platform founded in 2021 that consolidates data cataloging, lineage, observability, governance, documentation, and quality management into a single unified product. Its core technical architecture is a metadata control plane built on Retrieval-Augmented Generation (RAG) with metadata-trained embeddings, orchestrating nine specialized AI agents (Analysis, Automation, Search, Memory, Observability, Governance, Documentation, Visualization, and Cataloging) that surface context-aware answers from enterprise data stacks. The platform integrates with 30+ systems across databases, warehouses, BI tools, pipelines, and CRM, and supports both a browser-based workspace and a Chrome extension for in-browser data discovery.
The company sells primarily to data leads, data engineers, data analysts, governance managers, and data consumers in mid-market and enterprise organizations, with named customers spanning Dialpad, Vanta, Kaufland, IQVIA, Deezer, Remitly, Lichtblick, Miinto, Remote, Pendo, LegalShield, DailyPay, and others across highly diversified verticals. Revenue is generated through annual SaaS subscriptions priced by team size, data resources, and features, with quote-based enterprise tier offering dedicated support, self-hosting, and advanced controls. Secoda employs a hybrid go-to-market combining product-led growth (free trial, no-code integrations, automated metadata ingestion) with enterprise field sales and a partner network of integration and consulting partners.
Secoda was backed by Craft Ventures (lead) and Y Combinator across three funding rounds totaling approximately $16.4M between 2021 and 2023, and in December 2025 was acquired by Atlassian for an undisclosed amount, with the platform to be integrated into Atlassian's AI-powered Rovo product. The company held SOC 2 Type II compliance and multiple G2 Momentum Leader, High Performer, and Best Support designations in 2024.
Secoda firmographics
Firmographics- Name
- Secoda
- Legal name
- Secoda Technologies Ltd.
- Website
- https://secoda.co
- Company type
- Private
- Founded year
- 2021
- Operating status
- Acquired
- Headcount range
- 11–50 employees
- Short description
- Secoda is an AI-native data intelligence platform that unifies data cataloging, lineage, observability, governance, and documentation for mid-market and enterprise data teams, using RAG and a multi-agent architecture, and was acquired by Atlassian in December 2025.
- Ownership category
- akta.pro rank
Where Secoda is headquartered
LocationHeadquarters
- HQ city
- Toronto
- HQ country
- Canada
- HQ region
- North America
Offices1 record
Markets served
Secoda business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations
Revenue model
- SaaS Subscription: Fixed-term subscriptions priced based on team size, data resources, and additional features such as integrations. The subscription model includes automatic renewal at the end of each term.
- Enterprise Licensing: Enterprise tier with dedicated support, advanced controls, self-hosting options, and custom pricing for large-scale deployments.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Subscription-based SaaS pricing |
Go-to-market motion4 records
Distribution channels4 records
Marketing channels8 records
Secoda product offering
Product offeringCore offering
Secoda provides a unified AI-powered data intelligence platform that consolidates data catalog, lineage, observability, governance, documentation, and quality management. Built on RAG and metadata-trained embeddings, the platform delivers natural language querying, automated metadata enrichment, and self-serve data discovery for enterprise data teams. It is sold as a SaaS subscription priced by team size, data resources, and features, with an enterprise tier offering self-hosting and custom pricing.
Product overview
Secoda is a unified AI-powered data intelligence platform that combines data discovery, cataloging, lineage, observability, governance, and quality management into a single integrated solution. The platform is built on a metadata control plane powered by RAG and metadata-trained embeddings. The core product portfolio consists of: Secoda AI (a 24/7 AI data analyst with multiple specialized agents), the Data Catalog (unified metadata repository), Data Lineage (end-to-end data flow tracking), Documentation (collaborative data docs), Questions (data request management), Automations (workflow automation engine), Monitors (data observability), Quality Score (data quality scoring), Query Monitoring (query performance tracking), Data CI/CD (automated testing and impact analysis), Governance (unified governance platform), Policies (automated data policy enforcement), Access Requests (data access workflow), and RBAC (role-based access control). The platform also includes a Chrome Extension for in-browser data discovery and a Partner Network for integrations.
Differentiator
Problem solved
Functional benefit
Brands
- Secoda AI: AI-powered data analyst and search capabilities within the Secoda platform
- Secoda Partner Network
Products and services
- Secoda AI AI-powered 24/7 data analyst platform featuring multiple specialized agents (Analysis, Automation, Search, Memory, Observability, Governance, Documentation, Visualization, and Cataloging) built on RAG and metadata-trained embeddings. Enables natural language data querying, automated metadata enrichment, and context-aware insights for enterprise data teams.
- Data Catalog Unified data catalog that serves as a single source of truth for all data lineage, context, and documentation. Enables technical and non-technical users to find, understand, and manage data assets with ease, including AI-powered semantic search across the entire data landscape.
- Data Lineage End-to-end data lineage tracking that traces data's journey from source to destination, providing clear visibility into data usage, performance, and dependencies across the entire data stack with automated tracking and impact analysis.
- Documentation Collaborative documentation platform for documenting data assets, ensuring context is always captured and easily accessible for teams. Supports flexible, Notion-like docs with version control for ongoing data knowledge management.
- Questions (Data Ticketing) Data request and ticketing system that eliminates ad-hoc requests and provides a searchable repository for all data knowledge, enabling teams to manage and track data requests efficiently.
- Automations Workflow automation engine that automates data processes including bulk metadata updates, PII/HIPAA/PHI tagging, tech debt management, custom integrations, orphaned data detection, and schema change alerts using trigger-action workflows.
- Monitors (Data Observability) Data observability and monitoring feature that provides real-time visibility into data pipeline health, quality, costs, job performance, and anomalies with intelligent alerts to catch issues before they become problems.
- Quality Score Data quality scoring feature that provides an instant view of data quality, scoring and prioritizing fixes to certify the integrity of the most critical data assets at scale.
- Query Monitoring Query performance monitoring feature that streamlines query performance, ensures compliance, and maintains data quality with automated insights and clear visualizations.
- Data CI/CD Automated testing, alerts, and impact analysis for data pipelines that helps teams reduce risks and deploy data changes faster with simplified workflows.
- Governance Unified data governance platform that keeps data secure and compliant by mitigating risk, enforcing policies, and ensuring delivery of trusted data across the organization.
- Policies Data policy management feature that defines, enforces, and monitors data policies across the entire data stack with automated rules and real-time alerts.
- Access Requests Data access request workflow feature that streamlines access management, allowing teams to approve or deny data requests quickly while keeping sensitive information secure.
- RBAC (Role-Based Access Controls) Role-based access control feature that defines roles and permissions, controlling who can access, edit, and share data at every level with scalable access management.
- Chrome Extension AI-powered Chrome browser extension for seamless, in-browser data discovery, metadata editing, and AI search across tools, providing context wherever users work.
- Partner Network Partner ecosystem program that includes integration partners (native connections with data tools) and consulting partners (transformation services for customers), providing integrated technologies and expert services to streamline data governance, discovery, and AI adoption.
Quantifiable outcome
- Reduce data pipeline development time by 80%
- +3 more outcomes
Companies that use Secoda
Customer profileNamed customers17 records
Segments7 records
Ideal customer profiles2 records
Secoda technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration32 records
AI capability9 records
Feature6 records
Secoda partnerships and signals
Strategic signalPartnerships
Four partnerships are on record, tiered primary, core and supporting.
- AtlassianprimaryAtlassian acquired Secoda in December 2025 for an undisclosed amount. Secoda's platform is being integrated into Atlassian's AI-powered Rovo platform to enhance data access and insights for enterprise teams.
- SnowflakecoreSnowflake is a technology integration partner. Secoda is listed as a Snowflake partner and offers native integration with Snowflake data warehouse for seamless metadata ingestion and lineage tracking.
- Integration PartnerscoreSecoda Partner Network includes integration partners that create a single source of truth across the entire data landscape, bringing data governance, observability, and cataloging together.
- Consulting PartnerssupportingConsulting partners receive tools, support, and collaboration resources to empower customers on their AI journey. Partners transform how organizations action on their data.
Scale indicators4 records
Recent moves6 records
Expansion highlights6 records
Secoda competitors and assessment
Company assessmentDirect peers
- Atlan: Atlan is a direct competitor offering a modern AI-powered data catalog, lineage, and governance platform. Both Secoda and Atlan target data teams with similar personas (data leads, engineers, analysts) and are frequently compared head-to-head in buyer guides, including Secoda's own marketing materials.
- Alation: Alation is one of the most established data catalog platforms, serving large enterprises with metadata management, data governance, and search capabilities. It directly competes with Secoda in the active metadata management category where both are recognized on G2.
- Collibra: Collibra is a long-standing data governance and catalog leader, and Secoda explicitly positions against Collibra on its comparison pages. Both target enterprise data governance use cases with policy management, stewardship, and data discovery features.
- Monte Carlo: Monte Carlo is a leading data observability platform that overlaps with Secoda's Monitors and Quality Score features. Both companies target data engineers and data leaders seeking pipeline reliability and data quality monitoring.
Emerging players
- DataHub: DataHub is an open-source metadata platform developed by LinkedIn that competes with Secoda on catalog, lineage, and discovery. It appeals to cost-sensitive enterprises and represents a potential open-source substitute that could pressure Secoda's pricing.
- Bigeye: Bigeye is a data observability platform that competes directly with Secoda's data quality and monitoring features. Both target data engineering teams seeking automated anomaly detection and pipeline reliability.
- Amundsen: Amundsen is an open-source data discovery and metadata engine originally built by Lyft. It competes with Secoda on data discovery and cataloging, particularly appealing to engineering organizations building internal data platforms.
- Datafold: Datafold focuses on data testing, data diff, and observability — overlapping with Secoda's Data CI/CD and Quality Score features. Both target data engineering teams seeking to deploy reliable data changes.
Broad incumbents
- Informatica: Informatica is a broad data management platform with catalog, governance, and integration capabilities. As a much larger established player, it competes with Secoda particularly in large enterprise deployments where Informatica's full-stack offering is preferred over point solutions.
- Talend: Talend (now part of Qlik) offers data integration, quality, and governance capabilities that overlap with Secoda's catalog and observability features. It serves enterprise customers needing comprehensive data management tooling.
Market position
Weaknesses1 record
Competitive moat5 records
Key risks5 records
Key highlights7 records
Customer concentration
Secoda social profiles
Digital presenceSecoda compliance and trust
Trust signalCompliance1 record
Secoda financial estimates
Financial estimateRevenue estimate
Valuation estimate
Secoda leadership team
Management profileNumber of profiles
Profiles2 records
Secoda funding detail
Funding detailFunding overview
Funding rounds3 records
Investors8 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Secoda M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Secoda
What does Secoda do?
Secoda provides a unified AI-powered data intelligence platform that consolidates data catalog, lineage, observability, governance, documentation, and quality management. Built on RAG and metadata-trained embeddings, the platform delivers natural language querying, automated metadata enrichment, and self-serve data discovery for enterprise data teams. It is sold as a SaaS subscription priced by team size, data resources, and features, with an enterprise tier offering self-hosting and custom pricing.
Is Secoda a public or private company?
Secoda is a private company. It is classified as corporate owned and is currently acquired.
When was Secoda founded?
Secoda was founded in 2021. It employs 11 to 50 people.
Where is Secoda based?
Secoda is headquartered in Toronto, Canada, in the North America region.
How does Secoda make money?
Two revenue lines are on record. SaaS Subscription is the primary driver. The others are enterprise Licensing.
Who are Secoda's main competitors?
Direct peers on record are Atlan, Alation, Collibra and Monte Carlo. Emerging players are DataHub, Bigeye, Amundsen and Datafold. Broad incumbents are Informatica and Talend.
Does Secoda have an API?
Yes. Secoda offers API access as a feature. The Terms of Use indicate users can access the Secoda API, and the platform supports API access for data integration purposes. The documentation portal is available at docs.secoda.co, and the Model Context Protocol (MCP) is listed as a glossary term indicating MCP server/integration availability.