# Infostation - **Website:** - **Primary alias:** `infostation.digital` - **Founded:** 2021 - **Employees:** 11+ - **Location:** Gulshan-, Dhaka, Bangladesh - **Company kind:** PRIVATELY HELD ## Description Info Station is a Bangladeshi digital advertising solutions provider that combines machine learning and intelligent ad buying. Since its establishment in 2021, the brand has been at the forefront of using machine learning to extract value and meaning from digital content. With their AI technology, Info Station analyzes text, images, and videos to offer comprehensive insights and predictions. One of their key offerings is content intelligence, which leverages deep neural networks to identify and predict the core context expressed across the web. This enables better content targeting, which Info Station's rigorous experiment found to be 1.7 times more accurate than traditional behavioral targeting methods. Brand safety is also a priority for Info Station. Their content intelligence engine scans digital content for offensive text and imagery, ensuring that only safe and relevant environments are chosen for your brand's ads. With Info Station, you can rest assured that your brand will receive effective advertising placements that are both intelligent and secure. Contact them today to unleash the power of machine learning in your advertising campaigns. ## Industries - 📊 Marketing and Advertising _(under Business and Consumer Services)_ - 📊 Business and Consumer Services ## Logos & icons - logo _(primary)_ — PNG, SVG — [download](https://cdn.brandfetch.io/idd08ynYvf/w/820/h/121/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1772635246881) ## Colors | Name | Hex | Theme | | --- | --- | --- | | Hawaiian Tan | #a55119 | accent | | Torea Bay | #10418c | dark | | Cornflower Blue | #63b6ef | light | ## Fonts - var(--font-primary) — asset _(custom)_ - var(--font-primary) — asset _(custom)_ ## Imagery - banner _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/idd08ynYvf/w/1500/h/500/idtGRXyhaj.jpeg?c=1bxid64Mup7aczewSAYMX&t=1740638566061) --- _Source: _ _See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._