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query

lightning_bolt Market Research

Query.AI is a cybersecurity company specializing in providing federated search solutions that enable organizations to access and analyze data across various security platforms without the need for data migration. Founded in 2019 and headquartered in Brookings, South Dakota, Query.AI aims to simplify security operations by offering a centralized interface for querying disparate data sources, thereby enhancing efficiency and decision-making in security incident response.

Key Strategic Focus

Query.AI's strategic focus centers on delivering a unified search capability that integrates with multiple security tools and data repositories. By leveraging artificial intelligence and machine learning, the company enables security teams to perform real-time investigations and gain comprehensive insights without the complexities associated with traditional data aggregation methods. This approach targets organizations seeking to streamline their security operations and improve response times to potential threats.

Financials and Funding

As of 2024, Query.AI reported a revenue of $3.1 million, serving a customer base of 10 organizations. The company has attracted investments from notable venture capital firms, including ClearSky Security and South Dakota Equity Partners. The capital raised is intended to further develop the platform's capabilities, expand market reach, and enhance customer support services.

Pipeline Development

Query.AI is actively developing enhancements to its federated search platform, focusing on expanding integrations with additional security tools and data sources. The company is also working on introducing advanced analytics features to provide deeper insights and predictive capabilities. Key milestones include the planned release of these new features in the upcoming quarters, aiming to address evolving cybersecurity challenges faced by organizations.

Technological Platform and Innovation

At the core of Query.AI's offerings is its proprietary federated search technology, which allows seamless querying across multiple, disparate security data sources without the need for data duplication or migration. The platform employs advanced machine learning algorithms to normalize and correlate data from various tools, enabling efficient and accurate threat detection and analysis. This innovative approach reduces the complexity and cost associated with traditional security information and event management (SIEM) systems.

Leadership Team

  • Andrew Maloney, Co-founder and CEO: With extensive experience in cybersecurity and technology leadership, Andrew has been instrumental in guiding Query.AI's strategic vision and growth since its inception.


  • Derek Smith, Co-founder and CTO: Derek brings a strong background in software development and security architecture, leading the technical development and innovation of the company's platform.


Leadership Changes

As of the latest available information, there have been no significant changes or appointments within Query.AI's leadership team.

Competitor Profile

Market Insights and Dynamics

The cybersecurity market is experiencing rapid growth, driven by increasing cyber threats and the need for robust security solutions. Organizations are seeking efficient ways to manage and analyze vast amounts of security data, leading to a demand for innovative tools that can integrate multiple data sources and provide actionable insights.

Competitor Analysis

Query.AI operates in a competitive landscape with several notable companies offering similar solutions:

  • Unsupervised: Specializes in customer analysis software that utilizes unsupervised artificial intelligence to identify patterns in datasets without human guidance. Founded in 2017, Unsupervised has raised $53.5 million in funding and employs a team of 45.


  • Neudata: Provides a SaaS catalog of over 5,000 dataset reports, offering tools for users to search, source, manage, and compare data. Established in 2016, Neudata has secured $1.6 million in funding and has a team of 39 employees.


  • Valuer.ai: Focuses on matching startups and enterprises, facilitating innovation and collaboration. Since its founding in 2017, Valuer.ai has raised $200,000 and employs 36 team members.


These competitors have raised significant funding and have established customer bases, indicating a competitive market environment.

Strategic Collaborations and Partnerships

Query.AI has established partnerships with various security tool vendors to enhance its platform's integration capabilities. These collaborations aim to provide users with a more comprehensive and seamless experience when accessing and analyzing security data across different platforms.

Operational Insights

In comparison to its competitors, Query.AI differentiates itself through its federated search approach, which eliminates the need for data migration and offers real-time access to diverse security data sources. This unique capability positions the company as a valuable solution for organizations looking to streamline their security operations and improve incident response times.

Strategic Opportunities and Future Directions

Looking ahead, Query.AI plans to expand its platform's integrations, enhance its machine learning capabilities, and explore new markets to address the growing demand for efficient and effective security data analysis solutions. By focusing on continuous innovation and customer-centric development, the company aims to strengthen its position in the cybersecurity industry.

Contact Information

  • Website: Query.AI


  • LinkedIn: Query.AI LinkedIn Profile


  • Twitter: @QueryAI


Note: The above information is based on available data as of June 2, 2025.
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