#United States #Las Vegas #Dragonfly #AI Platform #Anisoptera

Anisoptera.io Launches Dragonfly: A Game-Changing No-Code AI Platform

At CES 2026, Anisoptera.io introduced Dragonfly, a revolutionary no-code Physical AI platform designed to convert live video footage and sensor data into actionable business intelligence. This innovative solution addresses significant challenges faced by enterprises wishing to deploy AI without incurring extensive costs or requiring specialized data science expertise.

A New Era of AI Deployment

The launch of Dragonfly comes at a critical moment as businesses across various sectors currently struggle to seamlessly integrate artificial intelligence into their operations. Traditional cloud-based AI systems often involve excessive costs and potential privacy risks, creating barriers to entry for many organizations. Anisoptera’s CEO and Co-Founder, Sam Ares, highlighted the platform's aim to eliminate these barriers, stating, “Dragonfly brings the intelligence to where the data lives, enabling real-time decisions while keeping sensitive information on-premise.”

How Dragonfly Works

Dragonfly empowers businesses by allowing them to deploy AI solutions quickly—in a matter of 2 to 4 weeks—by processing data locally at the edge instead of relying on cumbersome cloud solutions. This approach eliminates the latency typically associated with cloud processing, which can incur delays of 200-500 milliseconds, hindering real-time application effectiveness, particularly in critical contexts.

Tackling The $84 Billion Problem

Despite the booming market for AI in computer vision, projected to hit $83.6 billion by 2028, many organizations are still deterred from implementing these solutions due to three main challenges:
1. Cost Escalation: Cloud systems can result in processing costs skyrocketing above $50,000 annually for each deployment site.
2. Latency Constraints: The time it takes to process data in the cloud introduces unacceptable delays for immediate decision-making needs.
3. Expertise Scarcity: Advanced AI deployment typically demands high-paid data scientists and engineers, roles that remain difficult to fill in today's labor market.

To counter these challenges, Dragonfly centralizes operations by giving non-technical teams the tools they need to implement AI without the long wait times and significant financial burden.

Results and Recognition

Since its beta release, Dragonfly has successfully been deployed over 50 times across sectors such as logistics, retail, and media. Users report an impressive 31% average return on investment, with many achieving full payback within six months. The platform has garnered acclaim as a Preferred Edge AI Technology Partner at a notable Big Four consulting firm, underscoring its impact and potential in democratizing AI.

Industry Impact and Future Outlook

The advent of Dragonfly signifies a pivotal shift in enterprise AI as organizations increasingly strive to elevate operational efficiencies and meet sustainability goals. Chief Growth Officer Manuel Navarrete remarked, “Dragonfly opens enterprise-grade computer vision to a dramatically broader market,” enabling operations personnel to take charge of AI implementations directly, transitioning AI from a strictly IT-driven agenda to a broader operational focus.

As organizations look toward the future of AI integration, Dragonfly provides a timely solution, combining robust functionality with accessibility. The platform is available now on a subscription basis, encompassing hardware, software, deployment support, and ongoing maintenance. Those interested in exploring Dragonfly can request demonstrations or pilot projects through the official Anisoptera website.

In an era where efficiency and data-driven decision-making dominate business strategies, Dragonfly promises to be a leading choice for enterprises aiming to harness AI without compromising privacy or incurring prohibitive expenses.