Query is a technology company.
Query has raised $20.0M across 2 funding rounds.
Query has raised $20.0M in total across 2 funding rounds.
Query has raised $20.0M in total across 2 funding rounds.
Query's investors include Accenture, Chemistry VC, Conviction Partners, FPV Fund, Nexus Venture Partners, SNR, SYN Ventures, Wing Venture Capital, Gokul Rajaram, Michael Fey, Michael Stoppelman.
Query.ai is a cybersecurity technology company that builds a federated search platform enabling security teams to access, search, and analyze distributed security data without centralization.[1][2][3][4] Its core product, Query, serves security analysts, threat hunters, and incident responders by solving siloed data challenges—allowing natural language queries across SIEMs, data lakes, cloud storage, SaaS apps, and on-premises systems while reducing storage costs and engineering overhead.[1][2][3][4] The platform normalizes data, enriches it automatically, and provides real-time insights for investigations, with integrations like Splunk and support for both static (e.g., CrowdStrike, Okta) and dynamic (e.g., AWS Security Lake, Snowflake) connectors.[1][3][4] Founded in 2018 in Atlanta, Georgia, Query.ai has gained momentum through awards like the 2024 Sinet16 Innovator Award and a growing connector library.[1][3]
Query.ai was founded in 2018 in Atlanta, Georgia, with a mission to make security more accessible by tackling siloed data analysis through decentralized access.[1][2] Key figures include executives like Matt Anthony, who has highlighted the platform's differentiation, and references to leaders like Maloney emphasizing natural language processing to simplify queries across diverse data stores.[1][2] The idea emerged from recognizing security teams' struggles with data centralization costs, complex pipelines, and varying query languages—pivotal moments include developing a patent-pending Assistive-AI platform as a virtual analyst and launching integrations that enable day-one usability for practitioners, shortening typical onboarding from 6-12 months.[2][3] Early traction built on this federated approach, evolving to a full security data mesh platform with Splunk compatibility and broad connector support.[3][4]
Query.ai stands out in cybersecurity through these key strengths:
Query.ai rides the security data mesh trend, addressing exploding data volumes in multi-cloud, SaaS, and hybrid environments where centralization fails due to cost and complexity.[1][2][4] Timing aligns with rising cyber threats and AI-driven operations—its decentralized model leverages federated learning principles adapted for security, enabling faster decisions amid regulations like GDPR favoring data locality.[2][3] Market forces like SIEM fatigue and the shift to data lakes (e.g., AWS Security Lake) favor it, as teams pivot from costly ingestion to on-demand access.[3][4] Query.ai influences the ecosystem by empowering smaller teams, integrating with tools like Splunk, and promoting accessible cybersecurity—potentially accelerating threat hunting standards and reducing barriers for new analysts.[1][2]
Query.ai is positioned for expansion as security data fragmentation worsens, with next steps likely including more AI enhancements, connector growth (already "constantly expanding"), and deeper Splunk/enterprise integrations to capture market share from legacy SIEMs.[3][4] Trends like generative AI for investigations and zero-trust architectures will amplify its federated edge, potentially driving partnerships with hyperscalers and MSSPs. Its influence may evolve from niche innovator to ecosystem standard-setter, enabling broader adoption of data mesh in cybersecurity—ultimately making advanced threat operations as simple as a single search, true to its founding mission of accessibility.[1][2]
Query has raised $20.0M across 2 funding rounds. Most recently, it raised $15.0M Series A in October 2021.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Oct 1, 2021 | $15.0M Series A | Accenture, Chemistry VC, Conviction Partners, FPV Fund, Nexus Venture Partners, SNR, SYN Ventures, Wing Venture Capital, Gokul Rajaram, Michael Fey, Michael Stoppelman | |
| May 1, 2021 | $5.0M Seed | Conviction Partners, SNR, SYN Ventures, Wing Venture Capital, Michael Fey |