Julius AI

Julius acts as a conversational data analyst: upload CSVs, Excel, PDFs, or images, or connect to Postgres, BigQuery, Snowflake, or Google/Microsoft file stores, and ask questions in natural language. It writes and runs the underlying Python/SQL itself and returns tables, statistical tests, and visualizations rather than just a text answer. It's expanded well beyond that original niche into a broader AI workspace — presentation, report, website, image and video generation now live in the same chat interface. Access to frontier models (GPT-5.6, Claude Sonnet 5, and on higher tiers Claude Fable 5, Grok 4.6, GPT-6 Astra) is bundled into the subscription rather than billed separately, which is a real convenience if you don't want to manage your own API keys across providers.

Julius runs Free ($0), Plus ($20/mo or $16/mo annual, 2,000 credits/mo), Pro ($45/mo or $37/mo annual, 5,000 credits/mo), Max ($200/mo or $166/mo annual, 25,000 credits/mo; a second Max tier at $500/mo gives 70,000), Business ($450/mo or $375/mo annual, 60,000 credits/mo, up to 50 seats, with higher-credit Business bands at $750/$1,400/$2,500/mo reachable only via a selector on the same pricing card), and custom-priced Enterprise (source: julius.ai/pricing, checked 2026-09-21). In February 2026 Julius moved from counting messages to metering "credits" tied to compute cost — a simple question costs little, a multi-step analysis with code execution costs more, and the model you pick is, per Julius's own docs, one of the biggest drivers of consumption (source: julius.ai/docs/billing/credits-overview). Credits don't roll over, can't currently be topped up mid-cycle, and are non-refundable; running out forces a plan upgrade rather than a small purchase. Data connectors (Snowflake/BigQuery/Postgres) are available from the $20/mo Plus tier up, so the cheapest way to connect a real database isn't Business.

Julius currently sits at 1.8/5 ("Poor") on Trustpilot from recent unprompted reviews (source: trustpilot.com/review/julius.ai, checked 2026-09-21). The dominant, recurring complaint since roughly mid-2026 is specifically about the credit system: users describe their monthly allowance disappearing far faster than expected under equivalent usage, credits vanishing before they could be used, and no ability to buy a top-up when they run dry mid-project — several describe being pushed toward a higher tier as the only way to keep working. Refunds are handled case-by-case rather than automatically, which shows up repeatedly as a point of frustration in the same reviews. These are self-selected complaints on a review platform, not a controlled study, but the volume and specificity of the credit-related pattern is worth weighing against Julius's own claim that fewer than 5% of users are expected to exceed their new limits under normal usage (vendor claim, unverified independently). Separately, G2 lists Julius AI at 4.5/5, but from only 4 reviews — too small a sample to treat as a counterweight.

Julius sunset both Notebooks (its step-by-step analysis workflow) and Custom Agents (persona/schema-training profiles) sometime before August 2026, per the vendor's own documentation, on the reasoning that a single detailed chat prompt now does the job better (source: julius.ai/docs/notebooks-sunset and julius.ai/docs/custom-agents-sunset, checked 2026-09-21). As of this check, that hasn't fully propagated to the rest of the site: the pricing page's own FAQ still answers "Can I give Julius my business context?" with "train Custom Agents on your company schemas," and the Business-tier feature table still lists "Unlimited Custom Agents" as an included feature (julius.ai/pricing, checked 2026-09-21) — a feature the docs say no longer exists. If training a persistent agent on your schema is why you're evaluating a paid tier, confirm directly with Julius before buying.

Julius publishes SOC 2 Type II and Texas's TX-RAMP compliance, both continuously monitored by third party Oneleet, with a public Trust Center at trust.julius.ai listing the compliance status and a downloadable pentest letter of attestation without requiring a sales call (source: julius.ai/security and trust.julius.ai, checked 2026-09-21). Data is stored and processed in the US, encrypted in transit and at rest, isolated per customer, and Julius states customer data is never used to train models — though single sign-on and audit logs are gated to Enterprise.

Julius is built by Caesar Labs, Inc., founded 2022 by Rahul Sonwalkar out of Y Combinator, based in San Francisco. It raised a $10 million seed round in July 2025 led by Bessemer Venture Partners, with participation from Horizon VC, 8VC, Y Combinator, and angels including Perplexity's Aravind Srinivas and Vercel's Guillermo Rauch (source: TechCrunch, 2025-07-28). Julius told TechCrunch at the time it had more than 2 million users — a vendor claim not independently verified. It's a young, single-round company; that's relevant context for anyone weighing multi-year continuity, not a mark against the product itself.