Julius AI for Business
Stop Being Your Team's Human Query Engine
Your data team answers the same questions every week. Connect your warehouse, set the guardrails, and let everyone else get their own answers.
Trusted by data teams at

You have the data stack.
Now everyone needs “just one quick thing.”
Let Anyone on Your Team Query Your Data
Julius connects directly to your database with read-only access. Your team asks questions in plain English. You control what they can see.
Connect Snowflake, BigQuery, or Postgres in 5 minutes
Read-only connections. No data replication. Your data stays in your warehouse.
Select connector
Scheduled reports to Slack or email
Build a report once, schedule it, and never get asked “can you pull this again?” again.
Notebook
Weekly Revenue Report
Last run: 2 hours ago
Revenue Summary
MRR, ARR, and net revenue changes
Churn Analysis
Churned accounts and at-risk customers
Pipeline Forecast
Weighted pipeline by stage and close date
Access controls. Your team self-serves, you set the rules.
Row-level permissions, table whitelisting, query cost limits, and audit logs.
Invite your team
@Julius in Slack. Answered right in the channel.
Your team asks data questions where they already work. No new tool to learn, no context switching.
Anyone on the team can ask.
Julius writes the query.
Julius learns your schema, naming conventions, and how your team defines metrics. They ask questions. You keep oversight.
Live in five minutes. Three steps.




















Connect your data
Upload files, connect your database, or plug into your warehouse. Julius works with what you already have.
userspublicorderspublicproduct_metricsanalyticssalary_datahrmarketing_campaignsmarketingemployee_reviewshrSet the guardrails
Whitelist tables, set permissions, and define how your team talks about metrics.
Your team asks questions directly
Plain English, in Slack or the browser. Your data team stops fielding the same requests and gets back to the work that actually needs them.
Julius vs. the Alternatives
Julius
RecommendedMonthly cost
$450/mo for 3 seats. $45/seat after that.
Time to first insight
Same day. Connect your database and start asking questions.
Non-technical users can self-serve
Plain English questions. In Slack or browser.
Learns your data context
Remembers your schemas, definitions, and past queries
Request backlog
Questions answered directly, without waiting
Your Current State
Ad-hoc requests handled by your data team
Monthly cost
Analyst time is your most expensive resource. Most of it goes to ad-hoc requests.
Time to first insight
Depends on your backlog. Most teams have a 2-4 week queue.
Non-technical users can self-serve
No. They file a ticket and wait.
Learns your data context
Tribal knowledge. Lives in one person's head.
Request backlog
Joins the queue. Your team triages by priority.
Traditional BI Tools
Tableau, Looker, Power BI
Monthly cost
$70-100/user/mo. Requires setup, training, and ongoing maintenance.
Time to first insight
Weeks to months. Dashboard setup, data modeling, and user training first.
Non-technical users can self-serve
Only if they learn the tool
Learns your data context
Static dashboards. Someone has to update them when things change.
Request backlog
Non-technical users open it, get confused, and message your data team anyway
Here's why teams choose Julius
“Julius helped us get a clear view of the long-term trends in our NRR cohorts. The insights gave us a much better understanding of where we're headed — it's been super valuable for our finance planning.”
Aman Samra
VP of Finance, Spellbook
Security your data team will actually approve
SOC 2 Type II certified. Read-only connections. Your data is never used to train models. Full audit trail. Learn more
