Our enterprise-grade platform democratizes deployment, enabling non-technical teams to launch physical AI in days while protecting data privacy.
las vegas, January 20, 2026 /PRNewswire/ — During CES 2026, Anisoptera.io announced the launch of Dragonfly, a breakthrough no-code physical AI platform that transforms live video and sensor data into actionable business intelligence without expensive server infrastructure. The platform was well-received by experts and won a 2026 CES Picks Award for addressing a critical gap in enterprise AI adoption: the ability to quickly, securely, and cost-effectively deploy advanced vision AI applications without the need for data science expertise or costly cloud dependencies.
As companies rush to implement AI solutions, they are facing challenges. Cloud AI systems provide powerful analytics but create delays, privacy risks, and increased costs. On the other hand, advanced edge computing requires expertise that most organizations lack. Dragonfly resolves this tension by processing data locally at the edge, delivering enterprise-grade analytics through an intuitive, no-code interface, and enabling deployment in 2-4 weeks instead of 6-12 months.
Sam Ares, CEO and co-founder of Anisoptera said: “Enterprises are realizing that expensive cloud server infrastructure is not only costly, unnecessary, and creates privacy and latency issues. Dragonfly brings intelligence to where the data resides, enabling real-time decision-making while keeping sensitive information on-premises. More importantly, we’re making it accessible not only to data scientists but also to operations teams.”
The $84 billion problem: Why traditional AI deployments are failing
The global market for AI in computer vision is predicted to reach $83.6 billion by 2028, but adoption remains concentrated among tech giants with deep pockets and specialized talent. Mid-market and enterprise organizations face three key barriers:
- cost escalation: Cloud-based AI systems incur ongoing bandwidth and processing costs that can exceed $50,000 per year per deployment location.
- Latency constraints: Round-trip cloud processing introduces delays of 200-500 ms, making real-time applications impractical for safety-critical or time-sensitive operations.
- lack of expertise: Traditional AI deployments require data scientists, ML engineers, and DevOps specialists. These positions have salaries of $150,000 or more and are still in short supply.
Proven results: 50+ deployments, 3:1 average ROI
Since its beta launch, Dragonfly has been deployed in more than 50 enterprise deployments across logistics, retail, sustainability, and media operations. Customers report an average return on investment of 3:1, with payback periods typically less than 6 months.
The platform is recognized as a Preferred Edge AI Technology Partner by one of the top four global consulting firms and maintains a 97% customer satisfaction rating.
Industry Impact: Democratizing Enterprise AI
“Dragonfly’s announcement comes at a pivotal time for enterprise AI adoption. The ability to extract insights from physical operations has become a competitive imperative as enterprises face pressure to increase operational efficiency, reduce costs, and meet sustainability initiatives. However, the complexity and cost of cloud AI deployments have put these capabilities out of reach for most organizations.” Manuel Navarrete, Chief Growth Officer, Anisoptera He explains:
Dragonfly dramatically expands enterprise-grade computer vision to a broader market by eliminating the need for data science expertise, expensive cloud server infrastructure, and months-long implementation cycles. The platform’s no-code approach allows operations managers, facility directors, and business analysts to directly implement AI solutions, moving AI deployments from IT projects to operational initiatives.
Dragonfly is currently available for enterprise deployments around the world. The platform is offered through a subscription model that includes hardware, software, deployment support, and ongoing maintenance.
As seen at CES 2026, organizations interested in integrating Dragonfly can request a live demonstration or pilot deployment at the following URL: https://www.anisoptera.io .
Media contact:
Manuel Navarrete R.
Chief Brand and Growth Officer
[email protected]
www.Anisoptera.io
+507 6350-8304
Additional resources:
– Product demo video: https://anisoptera.io/cesdemo
– High resolution images: https://www.canva.com/design/DAG7_S9FwrE/XDEf8hCgE1NcVv0HwwHA0g/edit
Please contact us to request an interview, product demonstration, or additional information. [email protected]
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