I think the problem began when we decided to ask a randomized number generator for advice.

That’s what LLMs are, after all.

LLMs do a remarkably good job at analytics except for one thing: consistency.

If you’ve ever asked your data the same question twice and gotten two different answers, you know the frustration. One day “Latin America sales” includes Mexico, the next it doesn’t. Sometimes “revenue” means net, sometimes gross.

Inconsistency is the #1 complaint we’ve heard from teams using LLM-powered analytics.

They want the same answer every time they ask. And the same answer when multiple people ask.

That’s why we built Memories.

Meet Memories: The End of Inconsistent Analytics

Memories lock in the exact assumptions and data structures used to answer a question. With a single click (“make this a memory”) Zoë learns your methodologies. From then on, every teammate gets the same, consistent answer.

No re-explaining. No guessing. Just clarity, every time.

Before Memories: inconsistent answers to the same question
Before Memories: ask for “Latin America Sales YTD” and get different results each time, due to inherent LLM randomness.

Before Memories, you could ask Zoë for “Latin America sales YTD” and sometimes get answers including Mexico, but sometimes get answers excluding Mexico. The inherent randomness of the LLM made the same question yield different results on different days, for different users.

After Memories: the same answer every time
After Memories: every user gets the same, locked-in answer. Zoë remembers what “Latin America” means to your team.

Now with Memories, when you ask for “Latin America sales YTD” you get the same answer. Every time. Every person on your team. Without anyone having to re-explain the definition.

The best part? You don’t need to pre-define everything up front. Memories grow as you ask questions. Each saved assumption compounds into a smarter, more consistent analyst who learns alongside your team.

Consistency is everything. And now, Zoë delivers it.