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QueryPie: Secure Enterprise AI Platform
QueryPie has raised $45.6M across 2 funding rounds.
Key people at QueryPie.
QueryPie was founded in 2017 by Benjamin Yang, Director of product development (Founder) and Brant Hwang (Founder/CEO).
QueryPie has raised $45.6M in total across 2 funding rounds.
QueryPie is the enterprise-ready solution for governing AI-powered access in modern data environments. With native Model Context Protocol (MCP) support and verified integrations with tools like Slack, GitHub, and AWS, QueryPie sets a new standard for secure, centralized access governance.
As a unified access governance platform based on Zero Trust principles, QueryPie enables organizations to manage and monitor access to databases, servers, Kubernetes clusters, and internal web applications with precision and ease.
Trusted by over 130 enterprises and fully compliant with global standards such as ISMS, PCI-DSS, and GDPR, QueryPie empowers organizations to build secure and scalable data access control frameworks.
With built-in support for AI infrastructure, QueryPie seamlessly connects large language models (LLMs), AI agents, and MCP servers through a centralized control layer:ensuring that all automated workflows across SaaS tools, cloud environments, and internal systems remain secure, auditable, and compliant.
QueryPie is a secure enterprise AI platform that transforms how organizations adopt and manage AI by addressing cost, security, and complexity challenges. Founded in 2017 in Silicon Valley, QueryPie offers a unified access governance platform based on Zero Trust principles, enabling enterprises to centrally manage and monitor access to databases, servers, and AI tools. Its flagship offering, QueryPie AI Platform (AIP), delivers usage-based large language model (LLM) deployment with enterprise-grade security, replacing costly fixed subscriptions with scalable, pay-per-use pricing that can reduce AI costs by up to 90%. The platform integrates over 45 pre-built Model Context Protocol (MCP) tools and custom servers, streamlining AI workflows and governance across existing IT environments without infrastructure overhauls. QueryPie serves enterprises seeking flexible, budget-friendly AI solutions with strong compliance and security, accelerating AI adoption through expert Forward Deployed Engineers (FDEs) who provide tailored AI agent development and deployment support[1][2][3][4].
QueryPie was founded in 2017 in Silicon Valley by a team with deep expertise in data protection and enterprise security. The idea emerged from the founders’ recognition of the growing challenges enterprises faced in adopting AI securely and cost-effectively without disrupting existing infrastructure. Early traction came from positioning QueryPie as a Zero Trust-based access governance platform that evolved into a comprehensive AI platform offering custom AI agents and centralized governance. This evolution was driven by the need to solve the prohibitive costs and security risks associated with traditional AI adoption, especially for enterprises constrained by budget and compliance requirements[1][3].
QueryPie rides the wave of enterprise AI adoption, addressing critical market forces such as skyrocketing AI subscription costs, increasing security and compliance demands, and the complexity of integrating AI into legacy IT environments. Its timing is crucial as organizations seek scalable, secure, and cost-effective AI solutions that do not require rebuilding infrastructure or hiring scarce AI engineering talent. By offering a unified platform that combines governance, security, and flexible AI deployment, QueryPie influences the broader ecosystem by enabling enterprises to move beyond experimental AI use cases to production-ready, impactful AI applications. This approach supports the trend toward decentralized, agentic AI systems that automate infrastructure and business workflows securely and efficiently[1][3][5][6].
QueryPie is positioned to expand its influence as enterprises increasingly demand affordable, secure, and scalable AI platforms that integrate seamlessly with existing systems. Future trends shaping its journey include the growing adoption of agentic AI, increased regulatory scrutiny on data security, and the need for AI solutions that deliver measurable business value without ballooning costs. QueryPie’s continued investment in expert deployment support and platform enhancements will likely accelerate enterprise AI transformation, making advanced AI accessible beyond Fortune 500 companies. Its role as a secure AI enabler will deepen, potentially expanding into new sectors and use cases that require stringent governance and cost control, reinforcing its mission to democratize enterprise AI[1][2][3][6].
Key people at QueryPie.
QueryPie was founded in 2017 by Benjamin Yang, Director of product development (Founder) and Brant Hwang (Founder/CEO).
QueryPie has raised $45.6M in total across 2 funding rounds.
QueryPie's investors include Brant Hwang, Ken Asada, JinSoo Lee, Z Venture Capital, Cheuk Kim, Murex Partners, Kakao Investment, KB Investment, Mirae Asset Capital, Mirae Asset Venture Investment, Ohsang Kwon, Y Combinator.
QueryPie has raised $45.6M across 2 funding rounds. Most recently, it raised $27.8M Other Equity in May 2024.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| May 28, 2024 | $27.8M Other Equity | Brant Hwang, Ken Asada, JinSoo Lee, Z Venture Capital | |
| Dec 14, 2021 | $17.8M Seed | Cheuk Kim, Murex Partners | Kakao Investment, KB Investment, Mirae Asset Capital, Mirae Asset Venture Investment, Ohsang Kwon, Y Combinator |