Datadog: company research

Industry

Observability & monitoring

Headquarters

New York, NY

Founded

2010

Size

5,000+ employees

Stage

Public

Website

datadoghq.com

(from our editorial profile)Source: investors.datadoghq.com

Datadog's 10-K describes its SaaS platform as integrating and automating infrastructure monitoring, application performance monitoring, log management, user experience monitoring, cloud security, service management and other capabilities, powered by a common data model extensible across observability, security, software delivery and service management. The filing states the company created an AI Research Lab to develop novel solutions, and that engineers across its research and development organization are tasked with using AI and developing AI capabilities within their platform and product areas. In 2025 it launched OnCall, Product Analytics, and the Bits AI SRE Agent, which autonomously i…

In its Q1 2026 results announced May 7, 2026, Datadog reported launching its MCP Server, Bits AI Security Agent, GPU Monitoring, and Experiments for general availability, and achieving FedRAMP High certification for Datadog for Government. It also reported entering a strategic partnership with Sakana AI, a next-generation AI research lab, to collaborate on research, product innovation and go-to-market initiatives focused on enterprise AI adoption, initially supporting large enterprise customers in Japan before expanding globally. The company appointed Dominic Phillips to its Board of Directors and opened registration for DASH 2026, its ninth annual global conference, to be held June 9-10 at…

Datadog's 10-K states that its research and development organization is responsible for the design, development, testing and delivery of new technologies, features and integrations of its platform, as well as operating and scaling the platform including the underlying cloud infrastructure. The research and development team consists of software engineering, product management, development and site reliability engineering teams, and as of December 31, 2025 numbered approximately 3,900 employees. Research and development employees are located primarily in the New York and Paris offices, as well as remotely distributed.

Datadog's State of AI Engineering 2026 Report, cited in its Q1 2026 results, found that operational complexity—not model intelligence—is becoming the primary barrier to reliable AI at scale, with nearly 5% of AI model requests failing in production and close to 60% of those failures caused by capacity limits. The company's 2026 State of DevSecOps Report found that 87% of organizations are running software with known, exploitable vulnerabilities, highlighting a shift as security risk increasingly moves upstream into the software supply chain. Datadog launched GPU Monitoring to help businesses optimize spend and performance as they scale AI projects, providing visibility across GPU fleet heal…

Datadog's Q1 2026 release describes the company as "the leading AI-powered observability and security platform" and states it is trusted globally by Fortune 500 companies and high-growth AI leaders. The release states Datadog provides unified visibility across the technology stack to manage complexity at scale, bringing applications, infrastructure, data, models and security into one place and using AI to detect and resolve issues before they impact customers.

• Olivier PomelCo-founder and CEO

Source: investors.datadoghq.com

• Datadog Announces First Quarter 2026 Financial Results

  investors.datadoghq.com, 2026-05-07

• Datadog Announces Fourth Quarter and Fiscal Year 2025 Financial Results

  sec.gov