We're excited to announce that the registration for our next live workshop is open! 🚀 In this live webinar we'll showcase how to use Julius to turn any financial data into actionable insights. Everyone who joins will receive 1,000 credits to kickstart their analysis only on Julius. RSVP today and reserve your spot in the next workshop! And in case you can't wait, check out the last live workshop👇 Tyler showed how today's product managers, engineers, and builders are incorporating Julius AI into their workflow to make informed product decisions! https://lnkd.in/gwHTmh4H
Julius AI
Software Development
San Francisco, CA 20,124 followers
AI Data Scientist: Easily analyze, visualize and transform data
About us
Your AI Data Scientist: Easily analyze, visualize and transform data
- Website
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https://julius.ai
External link for Julius AI
- Industry
- Software Development
- Company size
- 2-10 employees
- Headquarters
- San Francisco, CA
- Type
- Privately Held
Locations
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San Francisco, CA, US
Employees at Julius AI
Updates
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NVIDIA insiders made 735 trades in the last 12 months. Some months saw over $600M in transaction volume while others were basically flat. If you're trading individual stocks and you're not tracking insider activity, you're flying blind. We just added insider trade data to Julius through our partnership with Financial Datasets. Ask about any public company in plain English and get the full breakdown with charts and tables in seconds. Try it today at julius.ai
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Big update: Julius now has real-time market financial data. Users can pull the latest earnings, financial statements, stock prices, insider trades, and more - all through natural language. Here's an example of what you can do with a single prompt: "Pull segmented revenues for AAPL and MSFT for the last 4 annual periods. For AAPL, show me how iPhone vs. Services revenue has trended as a % of total. For MSFT, show me Intelligent Cloud vs. Productivity & Business Processes. Which company has a more diversified revenue base? Which segment is growing fastest for each?" Our mission is to build the world's most powerful AI Data Analyst, and we're thrilled to partner with Financial Datasets to make this happen.
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Julius AI reposted this
We completely rebuilt search in Julius AI. Honestly, I thought a ground-up rebuild of search would be useful but didn't expect it to change how people use the product. You don't need to bring your own data anymore. Ask a question and get an answer backed by real data in seconds. Try it for free today.
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Join us in our upcoming webinar next Tuesday and earn 500 credits to use in Julius AI! 🚀 Tyler Shibata will be covering how product managers, builders, and engineers are using Julius to turn product data into actionable insights. We'll cover the basics on getting started, how to connect data, and how to incorporate Julius into your workflow (wherever you work!) See you then!
From Insights to Actions in Minutes
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Julius AI reposted this
Michigan and Purdue lead the way in shot performance so far this March. Some teams advanced through 2 rounds because they consistently created good shots. Others advanced because they shot above what their shot profile would normally support (looking at you, Kentucky). Typically we think the ability to generate good shots will matter more in the long-term and shotmaking over expectation is subject to more variance. If this is true, the two Michigan teams are in pretty good shape. Who do you have for March Madness?
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Julius AI reposted this
🏀 I uploaded a bunch of college basketball data and ran 10k simulations of March Madness using Julius AI and got Purdue Men's Basketball as the winner. If you use Julius to build your bracket and share it on LinkedIn or X, make sure to tag us with a couple screenshots and we'll add 1000 credits to your account! Let me know who you've got ⬇️
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Julius AI reposted this
Over the last few years we’ve seen thousands of companies adopt Julius AI and have been lucky to learn so much from each of them. In turn, these learnings have guided a lot of our product direction and iteration. It’s incredible to see the volume of teams today that are using data to amplify their work. It underscores the fact that in today’s world, data fluency is a prerequisite for success. At Julius, we see this across startups, large orgs, and even sports teams. If you aren’t capitalizing on data you risk handicapping your performance. For a long time, the goal of a self-service analytics layer was talked about but was more of a dream or a hot-button phrase than an achievable reality. In 2026, that reality has arrived. There is so much data around us now that often times new team leaders don’t know where to start, and experienced team leaders are overwhelmed by the potential entry points to dive into. This decision paralysis doesn’t need to be the case. With AI, all that’s needed to get over the hump is a dataset and a question. I wanted to pull together some learnings about common use cases that we’ve seen across different orgs and personas from the teams on Julius over the past few months in particular. If you read through these, think about what the first question might look like for any use case. All of the analysis that shapes the way a team functions starts from that single point. If you’ve used Julius for conversational analytics already, leave a comment about the type of work you’ve done 🙂 I’d love to hear from you! If you haven't used Julius, try it today for free ⬇️ https://lnkd.in/g38YkNSJ
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Got data questions? What if you could get answers in seconds? Tyler Shibata will be hosting our next onboarding webinar tomorrow to show you exactly how to get started with Julius and weave it into your day-to-day workflow. Whether you're new to Julius or just want to get more out of it, we'll walk through setup, best practices, and how to go from raw data to clear insights fast. All attendees who join will receive bonus credits to get more Julius usage!
Julius Onboarding - From Data to Decisions in Minutes
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Julius AI reposted this
Search is critical for any AI tool. Historically, we’ve been great at enabling internal data analysis. Last week, I spent my time thinking about how we could enable better external analysis too. 🔎 Now Julius AI has enhanced search. 🌐 What does this mean? Julius can pull from a wide range of data sources, and if the first set of sources doesn’t fully answer the question, it’ll keep searching until it’s satisfied. Julius also links every source it uses, so you can verify that the information is trustworthy. Once you find sources you like, just ask Julius to pull data from them, and it can do that too. 📊 We’ve heard from teams that analyzing your own data is powerful, but the answers aren’t always in your data. Sometimes they depend on external events. Now you can answer your team’s data questions even when the answers lie outside your own data. Get started for free https://lnkd.in/gYbmVgmc