# DodonaData.ai - **Website:** - **Primary alias:** `dodonadata.ai` ## Description DodonaData.ai helps organizations turn data into insight, foresight, and practical guidance through data and artificial intelligence. Its offerings span the data lifecycle, beginning with real-time processing and storage, then building an AI-empowered knowledge fabric to make information more useful. The company also provides AI and machine-learning capabilities for prediction, anomaly detection, and visualization, alongside agentic AI for intent-based management and orchestration. DodonaData.ai applies these tools to challenges across networks, cities, and transportation. Use cases include forecasting network uplink capacity, monitoring Quality of Experience against service-level agreements, and detecting anomalies that could affect customers. Its solutions also support anticipating emergency events in urban environments, analyzing real-time data from connected vehicles, and identifying and mitigating network attacks. Inspired by the ancient Oracle of Dodona, the brand presents data as a source of signals to be heard and interpreted. DodonaData.ai invites prospective customers to explore its solutions and book a demo. The company is based in North York, Ontario, Canada. ## Industries - 🖥 Computers Electronics and Technology - 🖥 Artificial Intelligence and Machine Learning _(under Computers Electronics and Technology)_ ## Links - [linkedin](https://linkedin.com/company/dodonadata) ## Logos & icons - logo _(primary)_ — PNG — [download](https://cdn.brandfetch.io/idM0FQeot8/w/947/h/263/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1790622116083) - icon _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/idM0FQeot8/w/100/h/100/theme/dark/icon.jpeg?c=1bxid64Mup7aczewSAYMX&t=1790622116176) ## Colors | Name | Hex | Theme | | --- | --- | --- | | Mirage | #1e293b | dark | | Bridal Heath | #fff9f1 | light | | Gray | #818181 | accent | ## Fonts - -apple-system — asset _(system)_ --- _Source: _ _See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._