Julius AI alternative: a semantic layer for $29 a month, not $450

What $29 buys here, and what it costs there

Prose is easy to argue with, so here is the same thing as a table. The Julius column is read from its own plan cards and plan-comparison table on 20 September 2026.

No credit meter between you and your model

A credit measures compute, not conversation, so the same question costs different amounts depending on which model picks it up and how much analysis it sets off. Asked what a single message costs, Julius's billing docs answer “There’s no single answer” (read 20 September 2026). So the monthly total is something you measure afterwards rather than decide in advance — and running out mid-month is a plan change rather than a small purchase, because the same docs say unused credits “expire at the end of your billing cycle” and that “purchasing additional credits or topping up your balance is not supported”.

Intellrise sits outside that loop entirely: it sells no credits. Pro is $29 a month however much you ask, and the model's tokens are billed by your AI provider at its published price, so heavy analysis shows up as tokens rather than as a staircase step from $45 to $200.

A saved question re-runs its own SQL

Intellrise writes schema-aware SQL against your connected source and shows a query plan in business terms with the exact SQL one click away. Save that question and it re-runs the SQL stored with it — not a fresh generation that might filter differently and hand you a different number with no error to warn you. Pin it to a dashboard and it holds still; ask again in chat when you want to explore.

Underneath sits a semantic layer that does the explaining once. It annotates your schema when you connect, learns your column and table meanings from the questions you ask, keeps them across sessions and schema refreshes, and puts them in front of the model on every later question. When somebody corrects it — the gmv column is tax-inclusive, status 7 means refunded — that correction is what the next person's question uses. You can edit the whole layer directly in a UI, or point it at a dbt target schema.

What you hand a stakeholder is a report rather than a screenshot: editable dashboards and reports exported to PDF, DOCX, PPTX, Excel and CSV, read-only share links, and recurring email delivery of a saved report on Pro and above.

The fifteen-minute test

Pick the recurring question, not the impressive one — the weekly revenue cut, the churn breakdown, the client report. One-off exploration flatters every tool; repeat work is where the difference shows. Create a key with your AI provider, point Intellrise at the same database on a read-only user, and ask.

Then read the query plan rather than the answer, fix any column meaning the layer got wrong, and come back a week later and re-run it. That last step is the whole comparison: same SQL, a schema you only explained once, and a bill that is $29 plus the tokens your provider charges you. The trial takes no card, and the demo takes no signup.