Tile
tile.shTile builds AI-powered BI notebooks that help business users create data apps without SQL or code.
- Specialization
- Data Engineering
- Business
- Software Applications
- Market
- Cross Industry
- Ecosystem
- Applications
- Customers
- Enterprises
More details
- Organization type
- Commercial Company
- Ecosystem
- Applications
- Business
- Software Applications
- Specialization
- Data Engineering
- Market
- Cross Industry
- Customers
- Enterprises
- Delivery models
- Hosted Software
- Revenue models
- Not classified
- Listing status
- Not classified
- Latest equity round
- Seed
- Reported funding amount
- Not classified
About
Tile is a 2024 startup building AI-powered business-intelligence notebooks and data apps. It targets business and enterprise users that need data automations without SQL or traditional coding, differentiating through visual, AI-assisted workflows that combine SQL power with spreadsheet-like usability.
Market
Tile competes in the AI-first business-intelligence, analytics-notebook, and low-code data-app market, helping users convert data work into operational applications and automations. It differentiates through a hybrid visual, low-code, and SQL workflow in which every tile compiles to SQL, preserving portability instead of trapping work in a proprietary format; compared with Hex's collaborative SQL notebooks and Julius AI's ad hoc-answer orientation, Tile emphasizes building reusable data apps.
Tile is aimed at enterprise and SaaS-oriented data teams, analysts, and business or operations users who need to turn organizational data into applications and automations without writing SQL or code. Its likely buyers are teams building internal data tools, operational workflows, or analytics products rather than individual consumers.
At a Glance
Problem
Tile addresses the operational blind spot that makes process improvement difficult: organizations often cannot tell which workflows are worth investing in. Its website frames the pain in economic terms—manual time, repeatability, and cost—so the central issue is not merely that work is inefficient, but that management lacks a quantified way to prioritize improvement and automation efforts. The killer use case is triaging operational processes to find the recurring, labor-intensive, expensive work where intervention should produce the greatest return.
Product / Service
Tile is a business-intelligence and operational-analytics product that surfaces those process-level metrics and helps users decide where to focus. Its earlier public product description positioned it as an AI-first notebook using visual, low-code, and SQL “tiles”: users investigate data in modular steps without writing conventional SQL, then convert the resulting analysis into SQL for robust, shareable reporting. That approach combines accessibility for business users with the reproducibility and explainability expected from code, while the current website emphasizes the practical outcome—strategically improving operations. Tile is currently offered in private beta rather than as a broadly available product.
Market
Tile competes at the intersection of business intelligence, process intelligence, and operations-improvement software. Crunchbase describes it as next-generation BI with a visual SQL language intended to combine SQL’s power with Excel’s usability, and names Sigma Computing, ThoughtSpot, and Oracle as possible alternatives. In the broader process-intelligence market, it also sits near established tools such as Celonis Process Intelligence, IBM Process Mining, SAP Signavio Process Intelligence, and Microsoft Power Automate, which focus on process visibility, bottleneck discovery, monitoring, and automation decisions.
The company is early-stage: the public site says it is in private beta and backed by Y Combinator, while Crunchbase classifies it as an active private pre-seed company with a 1–10-person team and identifies Y Combinator and SBXi as investors. The available evidence contains no reported revenue, customer count, or scaled commercial traction, so Tile is best characterized as pre-revenue or at least pre-scale, with validation still taking place through its beta rather than through publicly disclosed operating metrics.
Founders & Leadership
Funding History
Y Combinator
Recent News
StartupIntros describes Tile as an AI-first notebook for operational data analysis and reports that it was founded in 2024 by Jenica Zhong and Jessica Fang. The profile claims Tile has raised $147.3 million in total; this is a directory-reported funding figure rather than a primary funding announcement.
Active Roles
0No active roles right now.
Get notified when they postBusiness Model
Tile appears to monetize as a SaaS product, selling access to its AI-powered BI notebook and data-app platform through paid software subscriptions or enterprise contracts. Specific pricing tiers and revenue terms were not disclosed in the available evidence.