Work Here?
Overview
Atlan provides a unified data management platform that helps teams access, understand, and trust their data. It centers on a data catalog that organizes metadata and connects with many data tools to create a complete data stack, removing data silos and boosting collaboration. The platform automates metadata services and emphasizes collaboration, making it easier for data producers and consumers to work together. It likely uses a pay-as-you-go pricing model and is known for strong customer service. How it works: The platform sits between data sources and users. It inventories data assets, describes them with metadata, and activates that metadata to make data easier to find and use. It integrates with many data tools so people can search, understand lineage, and collaborate directly within the same platform. Its goal is to democratize data—giving teams across an organization simple access to trustworthy data for decision making.
About Atlan
Industries
Data & Analytics
Enterprise Software
Company Size
501-1,000
Company Stage
Series C
Total Funding
$201M
Headquarters
Singapore, Singapore
Founded
2019
Get referred to Atlan
See people who can refer or advise you
Simplify's Take
What believers are saying
- Atlan’s March 2026 BigID partnership expands into unstructured data governance for AI pipelines.
- Atlan’s August 2025 Activate launches AI Search, MCP Server, and governance Studios.
- Atlan’s $105 million Series C and $750 million valuation still fund aggressive expansion.
What critics are saying
- Snowflake, Databricks, and Microsoft bundle governance features, compressing Atlan’s standalone pricing by 2027.
- Enterprise AI governance budgets consolidate around security vendors like BigID, bypassing Atlan’s catalog.
- If context-layer adoption stalls, Atlan becomes a niche metadata tool, not the control plane.
What makes Atlan unique
- Atlan’s 2026 Gartner Leader status validates category leadership in metadata governance.
- Atlan’s Metadata Lakehouse and App Framework turn metadata into an active context layer.
- Atlan’s integrations with Snowflake, Databricks, BigID, and dbt embed workflows across stacks.
Help us improve and share your feedback! Did you find this helpful?
Funding
Total Funding
$201M
Above
Industry Average
Funded Over
5 Rounds
Insight PartnersIndustry standards
Benefits
Remote Work Options
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↑ 2%2 year growth
↑ 12%Atlan co-CEO Prukalpa Sankar says 46% of enterprises report zero financial benefit from AI pilots, arguing that intelligence is commoditising whilst context remains the intellectual property. Her solution is a "context layer" — a living data graph capturing how businesses operate, combined with a context engineering studio that extracts tacit knowledge from employees. The approach aims to address the gap between smart AI and useful AI. Customers using Atlan's system report accuracy improvements of five to ten times and 75% lower token costs, according to Sankar. The company positions context as the key differentiator as AI intelligence becomes increasingly commoditised across the industry.
BigID and Atlan have announced an enhanced integration delivering what they call the first unified solution for structured and unstructured data discovery, classification, lineage and cataloguing. The partnership aims to provide a governance foundation for organisations managing AI pipelines. The integration automatically classifies data across all types, embedding BigID's data security posture management risk signals directly into Atlan's data catalogue. This provides unified visibility for security and governance teams, with sensitive data context propagated across end-to-end data lineage. The solution addresses a gap as organisations lack visibility into unstructured and sensitive data feeding AI models. By aligning chief information security officers and chief data officers on a single platform, the integration aims to help enterprises accelerate AI initiatives whilst maintaining data governance and security controls.
Atlan named a Leader in the 2025 Gartner(R) Magic Quadrant(TM) for Metadata Management Solutions. Atlan recognized for completeness of vision and ability to execute. SAN FRANCISCO, November 24, 2025-(BUSINESS WIRE)-Atlan, the active metadata platform for data and AI governance, today announced that it has been recognized as a Leader in the 2025 Gartner(R) Magic Quadrant(TM) for Metadata Management Solutions. This recognition follows Atlan's earlier placement as a Visionary in the 2025 Gartner Magic Quadrant for Data and Analytics Governance Platforms, which we believe underscores its expertise in powering the metadata foundation for enterprise AI. According to Gartner, "Production AI requires metadata management maturity." The 2025 report marks the return of the Metadata Management Magic Quadrant after a five-year pause, which for us reaffirms metadata as the single greatest determinant of AI success. Metadata as the Context Layer for AI To us, Atlan's position as a Leader reflects its role as the context layer for AI - a foundation for accuracy, trust, and explainability in production AI systems. Atlan's Metadata Lakehouse unifies technical, business, and operational metadata into a single, active layer that fuels AI use cases across discovery, governance, quality, and analytics. This architecture powers "talk-to-data" analytics, governance automation, and Atlan's Model Context Protocol (MCP) Server, which enriches AI models and agents with real-time context. Atlan's Approach: Active Metadata for the AI Era Atlan delivers the metadata intelligence layer that modern enterprises need for AI readiness. Key differentiators include: * Breadth of context for AI applications: A single metadata layer connecting structured and unstructured data, operational systems, and AI workloads. * Future-proof, open platform: APIs and an app framework that extend metadata intelligence into any data or AI use case, preventing vendor lock-in. * Adoption beyond technical teams: Conversational search, embedded interfaces, and context-rich data products drive enterprise-wide usage in weeks, not years. * Fast time to value: Automation-first workflows, DIY connectors, and advisory-led onboarding accelerate measurable business outcomes. "In our opinion, Atlan's recognition as a Leader validates what our customers are already experiencing every day," added Prukalpa Sankar, Co-Founder of Atlan. "Our Metadata Lakehouse isn't theory - it's working in production for enterprises modernizing for AI. To us, being named a Leader by Gartner is proof that the future of metadata, and accurate enterprise AI, is already here." Read the full 2025 Gartner Magic Quadrant for Metadata Management Solutions report at https://atlan.com/gartner-magic-quadrant-metadata-management-solutions-2025/
"By integrating BigID's classification and policy enforcement with Atlan's active metadata platform, organizations gain the context and control they need to reduce risk, scale governance, and responsibly govern data powering AI and analytics."
Uniqorns, a major startup media outlet, reported on Singapore's startup funding in the first half of 2024. Atlan, a metadata platform for data teams, topped the list by raising $105 million from investors like GIC and Salesforce Ventures. Carro, an online used car marketplace, secured $55 million from HSBC, while k-ID, a digital platform security provider, raised $50.4 million. The report highlights active funding across diverse sectors in Singapore.
Atlan is Hiring for 5 Jobs on Simplify!
Find jobs on Simplify and start your career today
About Atlan
Industries
Data & Analytics
Enterprise Software
Company Size
501-1,000
Company Stage
Series C
Total Funding
$201M
Headquarters
Singapore, Singapore
Founded
2019
Atlan is Hiring for 5 Jobs on Simplify!
Find jobs on Simplify and start your career today