Julius AI
No-code chat interface for spreadsheet analysis and charts
Overview
Julius AI turns a spreadsheet or connected database into a chat conversation — ask in plain English, get back Python-generated charts, stats and models. Free tier capped at 100 credits a month; paid plans add live database connectors.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 11 Jul 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
- 15 messages/month
- 2GB RAM
- Google Drive connector
- 2,000 credits/month
- Frontier models (GPT-5.5, Claude Opus 4.7)
- Unlimited file formats
- 5,000 credits/month
- 32GB RAM, expanded context window
- Priority email support
- 60,000 credits/month
- Database connectors (Postgres, Snowflake, BigQuery)
- Custom agents, Slack agent
- Scheduled report runs
- Private VPC deployment
- SSO & audit logging
- Dedicated support
Use cases
What you can produce with Julius AI
- Chat-based analysis of CSV/Excel/Google Sheets
- Auto-generated charts and statistical summaries
- Live database connectors (Postgres, Snowflake, BigQuery, Stripe) on paid plans
- Notebook-style workspace on Pro and above
- SOC 2 Type II, GDPR, CCPA compliant
- Slack agent and scheduled reports on Business tier
ASEAN Perspective
Julius AI in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
The core trick works: upload a CSV or connect Postgres, Snowflake or BigQuery, ask a question in English, and Julius writes and runs the Python behind a chart or a summary stat without you touching code. For quick, ad-hoc business analysis — campaign tracking, a one-off chart for a deck — it's fast and the visualizations are clean.
The gap between its G2 rating (4.5/5, 96 reviews) and its Trustpilot rating (2.6/5, two-thirds of reviews are one-star) is the real story. Multiple reviewers report Julius fabricating data it wasn't asked to analyze, misapplying statistical tests, and getting simple arithmetic wrong on close inspection — fine for a quick chart, risky if you're citing the output. Billing complaints (surprise plan upgrades, refund pushback) show up often enough to flag. Treat it as a fast first draft, not a finished analysis.
What people say
A $10M round announced in July 2025 is funding what Julius calls accessible AI-powered data analysis. The pitch is simple: no-code chat over a spreadsheet, CSV, Google Sheet or — on paid plans — a live database connection to Postgres, Snowflake, BigQuery, Supabase, Google Drive, OneDrive, Google Ads or Stripe. Billing runs on a credit system rather than flat message counts, with a credit consumed per prompt, follow-up question or visualization generated, which makes actual monthly cost harder to predict than a simple seat price.
The most notable thing about Julius's public reputation is how differently it reads on different platforms. G2 puts it at 4.5/5 across 96 reviews. Trustpilot tells a different story: a 2.6/5 average with roughly two-thirds of reviews at one star. That gap usually means one review base skews toward paying business users and the other toward people who hit a wall — worth weighing both rather than either alone.
The specific complaints on the low end are consistent across independent reviews: Julius has been reported to invent data that wasn't in the uploaded file and analyze that instead of the actual dataset, to misapply statistical tests (parametric tests on non-normal data, missing confidence intervals), and to make basic arithmetic errors — one reviewer cited it mixing up 6.2 and 5.9 in a straightforward calculation. A separate Trustpilot complaint described PDF table extraction returning unusable output. Several reviewers also describe billing issues, including being moved onto a higher tier without clear consent and difficulty getting refunds.
None of that erases the upside for the intended use case: business users who want a chart or a quick read on a dataset without writing Python, and who aren't relying on the statistical output as-is. Julius is SOC 2 Type II, GDPR and CCPA compliant, which matters for teams connecting live production databases. It's positioned for speed over rigor — treat any number it produces as a starting point to verify, not a final answer.
Summary of public user & expert reviews, compiled by RECATOOLS.
About this listing
This entry was compiled from publicly available data including Julius AI's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Julius AI unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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