AI is going to make data-driven decisions 100% democratized! Jenica Zhong and Jessica F. have built an extraordinary product Tile (YC W24) to achieve this and enable all the Dwights out there to explore and investigate data in a modularized manner 😎 One of the most exciting features of Tile is the ability to have explainability on how to came to a certain result and how you can fine-tune these steps to get to where you need to be. Let me remind you, when you use SQL or Python to do it, things can be super complex, and backtracking can be extremely challenging. With Tile (YC W24), not only data scientists will be empowered to run no-code queries, but it will also give the ability to make data-driven decisions on real-time data to non-technical people! Check out this super interesting demo of how Dwight (from The Office) would use Tile to make data-driven sales decisions at Dunder Mifflin 👇 I am an investor in Tile (YC W24), and am excited to see the product grow and empower non-tech professionals across various industry verticals to make informed decisions, and get handy analytics! Interested to try it out yourself? Sign up for a free trial here: https://lnkd.in/dmk6NBUf ♻ Share this with your network to let them know of this amazing product coming out in the market
Tile (YC W24)
Data Infrastructure and Analytics
Next generation BI backed by a visual SQL language that combines the power of SQL with the usability of Excel
About us
Tile is an AI-first analytics notebook with visual, low-code and SQL tiles. Every tile compiles to SQL so your work will never get stuck in a proprietary format.
- Website
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https://tile.sh
External link for Tile (YC W24)
- Industry
- Data Infrastructure and Analytics
- Company size
- 2-10 employees
- Type
- Privately Held
Employees at Tile (YC W24)
Updates
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Tile (YC W24) reposted this
Tile (YC W24) is an AI-first analytics notebook with visual, low-code, and SQL tiles. Every tile compiles to SQL, so your work will never get stuck in a proprietary format. Data analysis is an iterative and investigative process. While SQL remains the most powerful language for working with data, SQL syntax is verbose and results in long code blocks that are unforgiving when trying to explore data. This is why Tile is backed by a visual SQL language that allows anyone to explore and investigate their data in modularized steps without the clunky syntax of SQL. Once the insight is found, convert it to a SQL block, so you still have the robustness of code when building reports to share this insight with others. Jenica Zhong and Jessica F. met at Palantir where they've wrangled data across multiple commercial and defense deployments. Learn more at https://lnkd.in/gZtPUej6. Congrats on the launch Jenica and Jessica!