Lunaris exists to make rigorous learning effortless. Name any topic and get a real course: planned, ordered, written, and checked against evidence, with every claim carrying its source. The work runs in the open, where you can watch each step instead of taking the result on faith.
A clear picture of where we are headed, and the discipline that gets us there.
The internet made information abundant and verification scarce. We picture a world where learning a new field does not start with guesswork or a wall of unranked links, but with a course that is correct by construction: built in the right order, grounded in real sources, and honest about what it does not yet know. That standard should be the default, not a luxury.
Our mission is to put an agent to work on the parts of teaching that should never be left to chance. Lunaris plans the curriculum, proves the prerequisite order in deterministic code, weighs its sources, and verifies every factual sentence before it ships. What you read is an artifact you can inspect, not a confident guess.
These are not aspirations. Each one is enforced by the engine, not by the prompt.
Lunaris is built by engineers. Maral keeps it honest about the people and the businesses it has to serve.
Most bios track titles. I track how information scales.
Maral Gholami Analytics executive · Advisor to LunarisI'm Maral Gholami, an analytics executive, data scientist by training, and advisor to Lunaris. Pouyan and I connected years ago over math, applied science, and tech. At Lunaris, I help bridge the gap between deep engineering and market reality.
My background sits at the intersection of data frameworks, technical sales, and education. I look at AI through the lens of enablement, building the commercial and strategic frameworks that turn complex tech into accessible, structured products that actually work for users and enterprise clients alike.
The vision is only as good as the artifact. Name a topic and watch every step run, or read one that is already built.