We sit down with you and build your perfect lead list. Book a call with founders.

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

Use Cases

Organize and manage data assets across teams; Improve data quality and compliance with regulations; Automate data governance processes for efficiency; Enhance visibility into data pipelines and lineage; Foster collaboration among data practitioners

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

Collate has reported several notable clients on their website and in their case studies, including:
  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.
These clients have engaged with Collate to enhance productivity, automate governance, and manage data more effectively, showcasing the impact of Collate's AI-powered data solutions.

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.
Currently, there is no information available regarding their sales and marketing technology stack.

Find more companies like Collate

US Series A startups

See something that needs updating? Suggest edits to this profile.

Financial Overview

$10MTotal Raised
Funding Round$10.0M
Recent
Want to research more data points on Collate?
Start with Extruct