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Collate Analysis: $10M Raised

What is Collate?

Collate is a platform that empowers data teams with AI Agents to organize data, enhance quality, and automate governance. Their approach integrates AI-driven automation with open-source standards, enabling seamless collaboration and data management. This results in improved productivity and efficiency for modern data teams, transforming how organizations handle their data assets.
Employees
11-50
Founded
2021
Industry
SaaS, AI/ML, Data Analytics
Free Plan Availability
Yes
Is Development Tool
Yes
Latest Funding Amount
$10,000,000
Latest Funding Round Size
$10.0M
Selfserve Signup
Yes

Product Features & Capabilities

  • AI-powered data discovery and governance platform
  • Comprehensive data quality solutions for trusted data
  • Actionable data observability for pipeline monitoring
  • Automated governance for compliance and risk management
  • Unified knowledge graph for permission-aware data insights

How much Collate raised

Funding Round - $10.0M

Recent

Homepage Pricing

The pricing information for Collate, as presented on their homepage, includes a "Free Tier of managed OpenMetadata," indicating that there is a free option available for users. The company emphasizes transparency in its pricing strategy, stating that it aims to "lower costs" and "reduce time to market." However, specific details regarding pricing structures beyond the free tier are not provided on the homepage.

Gtm Strategy

Collate employs a product-led growth (PLG) strategy, as evidenced by their website's design and offerings. The homepage prominently features a **Free Tier** for managed OpenMetadata, allowing users to sign up easily without needing to contact sales. This self-service approach indicates a focus on user empowerment and rapid adoption. The presence of a **Login** option suggests an existing user base that accesses the product directly, further supporting the PLG model.

The pricing structure is transparent, with publicly displayed options that cater to small teams, allowing them to adopt the product independently. This is indicative of a strategy that encourages widespread usage before transitioning to larger enterprise deals. Additionally, customer testimonials highlight successful use cases, showcasing how individual users or small teams have benefited from the platform, which aligns with viral adoption characteristics typical of PLG.

Collate also invests in educational resources through its Learning Center, providing articles and tutorials that support self-service learning. This emphasis on user education and empowerment reinforces their product-led approach, as it enables users to derive value from the product independently.

Overall, Collate's strategy reflects a strong focus on optimizing for rapid user adoption and virality, rather than high-touch relationships and larger contract values typically associated with sales-led growth.

Reported Clients

  1. Mango - Achieved a productivity increase of up to 20% for their data teams.
  2. Carrefour Brazil - Automated data governance for over 500 active users.
  3. Loggi - Removed 16,000 dashboards, resulting in significant cost savings.
  4. Gorgias - Cataloged over 45,000 data assets.
  5. FreeNow - Managed 7 business domains with over 30 analytics processes per domain.

Tech Stack

Collate employs a diverse technology stack that includes:

  • Programming Languages: - Go, TypeScript, Python, and Java.
  • Frameworks and Libraries: - React (for frontend development).
  • Infrastructure and DevOps Tools: - AWS, Kubernetes, Docker, Terraform, Argo CD, and CI/CD tools.
  • Data Technologies: - Postgres, S3, Kafka, OpenSearch, and observability tools.

Find more companies like Collate

US Series A startups

Financial Overview

$10MTotal Raised
Funding Round$10.0M
Recent
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