Dragonfly launches: no-code Physical AI that turns live video into real-time operations intelligence
LAS VEGAS, Jan. 20, 2026 - During CES 2026, Anisoptera.io introduced Dragonfly, a no-code Physical AI platform that converts live video and sensor data into actionable insights-without expensive cloud server stacks. Industry experts took notice, awarding it a 2026 CES Picks Award for solving a core blocker in enterprise AI adoption: fast, secure, cost-effective deployment that doesn't depend on data science teams.
The platform processes data locally at the edge while delivering enterprise-grade analytics through an intuitive interface. Deployment timelines shrink from 6-12 months to 2-4 weeks, enabling operations leaders to move from pilot to production on a standard budget and timeline.
Why operations teams care right now
Cloud-first AI adds latency, recurring bandwidth costs, and privacy exposure. Advanced edge solutions have historically required rare skill sets to stand up and maintain.
Dragonfly flips the equation: keep data on-premise, reduce round trips, and give non-technical teams the tools to configure, deploy, and iterate. Real-time decisions, lower ongoing costs, and fewer dependencies.
The $84B gap Dragonfly targets
- Cost escalation: Cloud-based AI can exceed $50,000 per site per year in bandwidth and processing.
- Latency: Cloud round trips often add 200-500ms, hurting time-sensitive and safety-related use cases.
- Expertise scarcity: Traditional builds require data scientists, ML engineers, and DevOps roles that command $150,000+ salaries and are hard to hire.
Proven outcomes
Since its beta, Dragonfly has gone live across 50+ enterprise installations spanning logistics, retail, sustainability, and media operations. Customers report an average 3:1 ROI with payback typically under six months.
The platform holds a 97% customer satisfaction rate and is recognized as a Preferred Edge AI Technology Partner at one of the Big Four consulting firms.
What leadership is saying
"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."
What this means for your ops stack
- Faster value: Deploy in weeks-not quarters-without hiring a specialist team.
- Lower ongoing costs: Reduce cloud compute and bandwidth fees by processing locally.
- Privacy by default: Keep sensitive video and sensor data on-premise.
- Team-led deployment: Operations managers, facility directors, and analysts can build and iterate via a no-code interface.
Industry impact
"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." said Manuel Navarrete, Chief Growth Officer at Anisoptera.
By removing the need for specialized talent, heavy cloud infrastructure, and lengthy build cycles, Dragonfly opens enterprise-grade computer vision to a broader set of teams and budgets.
Availability and pricing
Dragonfly is available now for enterprise deployment globally. The subscription includes hardware, software, deployment support, and ongoing maintenance.
See it in action
- Request a demo or pilot: Anisoptera.io
- Product demo video: anisoptera.io/cesdemo
- High-resolution images: View assets
Media contact
Manuel Navarrete R.
Chief Brand & Growth Officer
Manuel@Anisoptera.io
www.Anisoptera.io
+507 6350-8304
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