Companies

Tile

tile.sh

Tile builds AI-powered BI notebooks that help business users create data apps without SQL or code.

HQSan Francisco, California, United States
Employees1-50
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.

Target Customers

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

Jenica ZhongFounder
Co-Founder & CEO
Jessica FangFounder
Former Co-Founder

Funding History

2024-04
Seed$500K

Y Combinator

Recent News

2026-07-13funding
Tile: Funding, Team & Investors

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

0

No active roles right now.

Get notified when they post

Business 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.

Products

AI-first SQL/BI notebook for building data appsVisual, low-code, and SQL tilesData automations and applications built without SQL or code

Tech Stack

AI-powered analytics notebook layerSQLVisual low-code notebook tilesSQL-compiling architecture

Competitors

Hex
Julius AI
Deepnote
Upsolve AI
Tableau
Microsoft Power BI