Enterprises increasingly seek to harness AI from live video and sensor data to drive operational intelligence, yet traditional approaches create significant hurdles in cost, latency, privacy, and required expertise. Anisoptera.io addresses these challenges with the launch of Dragonfly, a groundbreaking no-code Physical AI platform announced at CES 2026.
Quick Intel
Dragonfly empowers operations teams to build and deploy sophisticated computer vision applications directly, shifting AI from centralized IT-led projects to decentralized, business-driven initiatives.
"We're witnessing a fundamental shift in how businesses think about AI deployment," said Sam Ares, CEO and Co-Founder of Anisoptera. "Companies are realizing that expensive cloud server infrastructure isn't just costly, it's unnecessary and creates privacy and latency issues. Dragonfly brings the intelligence to where the data lives, enabling real-time decisions while keeping sensitive information on-premise. More importantly, we've made this accessible to operations teams, not just data scientists."
The global AI in computer vision market is projected to reach $83.6 billion by 2028, but adoption has been limited to organizations with substantial resources. Dragonfly tackles the core barriers head-on.
Cost Escalation Cloud-based systems generate ongoing expenses for bandwidth and processing, often surpassing $50,000 per year per location, while Dragonfly keeps processing local to minimize these costs.
Latency Constraints Cloud round-trips introduce delays of 200-500ms, rendering real-time use cases unfeasible in safety or time-sensitive environments; edge processing in Dragonfly ensures immediate responsiveness.
Expertise Scarcity Conventional deployments demand high-cost specialists; Dragonfly's intuitive no-code interface enables operations managers and business analysts to implement solutions independently.
With proven deployments exceeding 50 sites and strong customer outcomes—including a 97% satisfaction rate and recognition as a Preferred Edge AI Technology Partner by a Big Four consulting firm—Dragonfly demonstrates tangible value in accelerating AI-driven efficiency.
"Dragonfly's launch arrives at a pivotal moment for enterprise AI adoption. As companies face pressure to improve operational efficiency, reduce costs, and meet sustainability commitments, the ability to extract insights from physical operations has become a competitive must-have. Yet the complexity and cost of cloud AI deployment have kept these capabilities out of reach for most organizations," explained Manuel Navarrete, Chief Growth Officer at Anisoptera.
By democratizing access to enterprise-grade Physical AI, Dragonfly positions organizations to transform physical operations into intelligent, data-informed processes without the traditional overhead.
Dragonfly is now available for global enterprise deployment through a comprehensive subscription model covering all necessary components.
About Anisoptera
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