# Navos Agent - **Website:** - **Primary alias:** `navosagent.ai` ## Description Navos is an AI-powered marketing workspace designed to help teams coordinate advertising tasks across the campaign lifecycle, from market research and creative development to launch, monitoring, reporting, and growth. Its multi-agent system brings specialized AI capabilities together to analyze information, share context, and support marketing decisions. The platform offers tools for market and audience insights, campaign strategy, creative planning, asset management, ad monitoring, and performance analytics. Users can generate reports and charts, analyze data through chat, identify trends and creative opportunities, plan tests, and receive recommendations for campaign optimization. Navos also provides marketing calendars, dashboards, and tools for planning cross-channel media and e-commerce campaigns. Its products include Navos 1.0, an AI marketing workspace, and Navos 2.0, a desktop workspace for client marketing. Navos serves marketing leaders, advertising optimizers, designers, agencies, and teams in industries including e-commerce, gaming, retail, and mobile apps. The company says the platform was designed by Tec-Do 2.0, draws on marketing experience across more than 200 markets, and encrypts data in transit and at rest. ## Industries - 📊 Business and Consumer Services - 📊 Marketing and Advertising _(under Business and Consumer Services)_ - 🖥 Computers Electronics and Technology - 🖥 Artificial Intelligence and Machine Learning _(under Computers Electronics and Technology)_ ## Logos & icons - logo _(primary)_ — PNG, SVG — [download](https://cdn.brandfetch.io/idaY6kZzi6/w/820/h/257/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1791527061008) ## Colors | Name | Hex | Theme | | --- | --- | --- | | Blue Ribbon | #0166fe | accent | | Ebony | #101828 | dark | | Dodger Blue | #25c7ff | light | ## Fonts - var(--font-sans) — asset _(custom)_ --- _Source: _ _See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._