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DroneDeploy Stock (DRDE)

Cloud-Based Drone Mapping & Analytics

About DroneDeploy Stock

Founded

2013

Headquarters

San Francisco, CA, US

Total Funding

153M

Industries

Hardware, Software, Data and Analytics

DroneDeploy is a provider of cloud-control software solutions for drones which include automated flight safety checks, workflows, and real-time mapping and data processing. The company has partnered with drone manufacturers like DJI to provide its software to end-users in a variety of industries, including agriculture, real estate, mining, construction, and other commercial and consumer arenas.

DroneDeploy was founded in 2013 by Michael Winn and is headquartered in San Francisco. Notable investors include Uncork Capital, Emergence, Scale Venture Partners, Energize Ventures, and Bessemer Venture Partners.

Investors in DroneDeploy

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DroneDeploy Management

Leadership team at DroneDeploy

Chief Executive Officer & Co-Founder

Michael Winn

Chief Technology & Co-Founder Officer

Nicholas Pilkington

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DroneDeploy Key Facts

  • Attainment of Break-even and Strategic AI Reinvestment: In September 2025, DroneDeploy announced it reached a major financial milestone by achieving break-even status, rendering the company fully self-sustaining. Concurrently, it secured a $15 million strategic funding round led by existing investors like Emergence Capital and Scale Venture Partners. Unlike previous capital raises, this infusion is dedicated entirely to accelerating the "Horizon 2" roadmap, specifically the deployment of agentic AI suite (Progress, Safety, and Inspection AI) and the transition to autonomous robotics.
  • Launch of "Embodied AI" and Robot-as-a-Service (RaaS): At its Horizons 2025 summit, the company unveiled its expansion into embodied AI, with beta deployments of autonomous ground robots (quadrupeds and crawlers) scheduled for early 2026. Utilizing its 2021 acquisition of Rocos, DroneDeploy is launching a Robot-as-a-Service model where the company handles setup, operations, and maintenance. This allows enterprise clients in construction and energy to capture daily interior and exterior site data without manual intervention or robotics expertise, directly addressing severe labor shortages in site documentation.
  • Enterprise Standardization and Market Dominance: DroneDeploy has solidified its "category king" status through massive enterprise-wide rollouts. Notable 2025 milestones include WM (formerly Waste Management) achieving $1.75 million in annual savings by standardizing the platform across 251 sites, and PCL Construction surpassing 10,000 flights and 45 million images captured in a single year. The platform’s October 2025 update further entrenched this position by adding Autodesk Construction Cloud (ACC) auto-sync and support for sub-250g drones (DJI Mini 4 Pro), lowering the regulatory and cost barriers for global teams to scale survey-grade mapping.
  • Supply Chain Disruption from Foreign Drone Bans: In December 2025, the FCC placed foreign-produced drones and components on its "Covered List," effectively prohibiting the authorization of new models from major manufacturers like DJI. While existing authorized hardware remains legal for use, the "future pipeline" for the affordable, high-performance hardware that much of DroneDeploy's user base relies on is now constricted. This forces DroneDeploy into a critical dependency on Blue UAS and domestic hardware providers, which often carry higher price points and lower availability. If domestic manufacturing cannot scale to meet enterprise demand by 2027, DroneDeploy faces a potential "hardware drought" that could slow user acquisition and fleet expansion.
  • Regulatory Lag in BVLOS and Autonomous Oversight: Despite the push for the FAA's Part 108 rule, which is intended to standardize Beyond Visual Line of Sight (BVLOS) flights, final implementation continues to face delays into 2026. This creates a "regulatory ceiling" for DroneDeploy’s new Robot-as-a-Service (RaaS) and autonomous inspection agents. Additionally, new 2026 oversight frameworks are introducing "validation of AI decision-making systems" and human-in-the-loop requirements. These strict audit trails for automated missions increase the compliance burden and could dampen the ROI of "agentic AI" if human oversight remains a mandatory—and costly—component of every flight.

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