We read every outlet.
So you can read between the lines.

Ishtar is an AI-powered Arabic news analysis platform built to do what no single reader can: monitor dozens of Arabic media outlets simultaneously, compare how each frames the same story, and surface what gets said and what gets left out.

Named after the ancient Mesopotamian goddess of love, sex, and war, a deity of raw contradictions equally capable of desire and destruction, Ishtar was built for a media landscape that is rarely what it appears to be.

Mission

To make media bias visible in the Arab world.

Arabic-language media is vast, fragmented, and deeply political. The same event can read as a victory in one outlet and a catastrophe in another. Our mission is to bring transparency to that landscape, not by telling people what to think, but by showing how different outlets think.

We track framing, tone, omissions, and emphasis across Lebanon, the Levant, and the broader Arab world, giving readers, journalists, and researchers the tools to see the full picture.

Vision

An Arab public sphere where the narrative belongs to no one outlet.

We envision a media landscape where readers can hold multiple perspectives at once, where political alignment is disclosed rather than disguised, and where the truth emerges from the friction between competing accounts.

Ishtar is building toward a future where AI does not replace journalism, but strengthens the reader's ability to evaluate it.

The Name

Ishtar was the goddess of love, sex, and war in ancient Mesopotamia, worshipped by the Sumerians, Akkadians, Babylonians, and Assyrians for thousands of years. Ancient sources describe her as a deity of raw contradictions: fire and the quenching of fire, desire and destruction, fierce power and deep vulnerability. She did not occupy a tidy domain. She crossed every boundary there was.

That felt right for a platform designed to cut through the contradictions of Arabic media.