Anisoptera.io Unveils Dragonfly: No-Code Physical AI Platform for Real-Time Business Intelligence

Anisoptera.io Launches Dragonfly: Bridging the Physical AI Gap

At CES 2026 in Las Vegas, Anisoptera.io revealed Dragonfly, its latest innovation in physical AI technology. Dragonfly is a no-code platform designed to turn raw video footage and sensor data into real-time business and operations intelligence—without the need for expensive server infrastructure. This launch marks a significant step forward in making advanced AI accessible to a wider range of businesses and industries.

Democratizing AI for Non-Technical Teams

Traditionally, deploying AI-powered video analytics or sensor-based solutions required specialized knowledge and significant investment in either cloud services or custom hardware. Dragonfly addresses this challenge by offering a no-code solution that enables even non-technical teams to implement physical AI applications in just days. This lowers the barrier for entry, allowing more organizations to leverage AI-driven insights for improved operational outcomes.

Key Features Tailored for Enterprise Needs

Dragonfly is built with enterprise-grade security and privacy in mind. By processing data at the edge (on local devices), the platform reduces reliance on remote servers and cloud computing, which can introduce latency and privacy risks. This approach not only helps organizations comply with data protection regulations but also ensures faster access to critical insights.

Some of Dragonfly’s standout features include:

• No-Code Interface: Users can set up AI-powered video analytics without writing a single line of code.
• Edge Processing: Real-time analysis happens on-site, safeguarding sensitive data and reducing response times.
• Scalable Deployment: Suitable for retail sales, manufacturing, logistics, and other industries where quick, data-driven decisions are essential.

Recognition at CES 2026

The response to Dragonfly at CES 2026 was overwhelmingly positive. Industry experts recognized the platform’s potential to fill a critical gap in the AI landscape—making advanced physical AI solutions more accessible and cost-effective. Dragonfly received a 2026 CES Picks Award for its innovative approach to democratizing AI deployment at the enterprise level.

Why Dragonfly Matters for Business Operations

As companies look to stay competitive, the ability to extract real-time insights from physical environments is becoming increasingly valuable. For example, retail businesses can use Dragonfly to analyze customer movement and optimize store layouts, while manufacturers can monitor production lines to improve efficiency and safety. By eliminating the need for data science expertise and reducing cloud costs, Dragonfly enables organizations to focus on results, not technical hurdles.

The Future of No-Code Physical AI

The launch of Dragonfly comes at a time when many enterprises are reassessing their approach to AI. While cloud-based AI offers powerful capabilities, it also introduces concerns about latency, cost, and data privacy. Edge-based, no-code platforms like Dragonfly provide a compelling alternative, allowing organizations to maintain control over their data while still accessing advanced analytics.

Takeaways for Businesses

• Faster Implementation: Non-technical staff can deploy AI solutions in days, streamlining operations without lengthy development cycles.
• Enhanced Privacy: Local data processing means greater control and compliance with privacy standards.
• Cost Efficiency: Reduces dependency on cloud infrastructure, helping manage IT budgets more effectively.

As new products and services continue to emerge from trade shows like CES, platforms such as Dragonfly are setting a new standard for enterprise AI adoption: accessible, secure, and built for real-world business needs.