About Eidesis

Eidesis turns websites into revenue engines with simulation.

Companies spend millions sending traffic to websites nobody has the bandwidth to test. Eidesis replaces the loop: watch the funnel, simulate the fix, ship the lift. Below: why this exists, and why we calibrate the simulator instead of trusting a generic prompt.

OPTIMIZELYVWOAB TASTYSTATSIGLAUNCHDARKLYGA4MIXPANELAMPLITUDEPOSTHOGHEAPHOTJARFULLSTORYCONTENTSQUAREADOBE TARGETSEGMENTGROWTHBOOKOPTIMIZELYVWOAB TASTYSTATSIGLAUNCHDARKLYGA4MIXPANELAMPLITUDEPOSTHOGHEAPHOTJARFULLSTORYCONTENTSQUAREADOBE TARGETSEGMENTGROWTHBOOK

Why this exists

Conversion optimization is still manual. Companies spend millions acquiring traffic, then send it to a website nobody has the bandwidth to test.

Mid-market companies pay $10,000 to $35,000 a month for analytics, session replay, heatmaps, A/B testing, and CRO agencies. Someone still has to interpret the data, decide what to test, build variants, run experiments, and choose what ships. Two or three meaningful tests a month, weeks each to reach significance. Most ideas never see traffic. Eidesis replaces the loop.

$10–35k: Monthly spend on the manual CRO stack at the mid-market
2–3: Meaningful A/B tests run per month, every vertical
2–6 wk: Time to clear significance on a single live test
15–20%: Conversion lift Eidesis targets in the first 30 days

“CI is the thing software teams can’t live without. Every commit runs through tests before it ships. Websites don’t have that yet.”

Signup forms, pricing pages, PDPs, checkout flows, booking calendars. Most variants ship to real visitors untested, because traditional A/B testing is too slow and too expensive for any site short of a hundred million monthly visits. Eidesis is the layer underneath, for every funnel shape.

A generic LLM asked to “act like a shopper” doesn’t get close enough to be useful. The gap between prompt-based roleplay and real session behavior is too wide to trust with a testing budget. A model fine-tuned on your repeat-buyer cohort, with synthesized reasoning over real session transitions, clears the calibration bar we hold ourselves to. If it doesn’t clear that bar for your category, we say so.

The Eidesis team