Explore, query and analyse your data without tech skills

A complete workspace for data — connect sources, write queries, and build visualisations with AI assistance.

No more waiting on IT for that report.

Module 1

Clickhouse

Connected

Stock Prices

	Ticker	Date	Close	Volume	Change
1	AAPL	2025-06-02	198.50	52,340,100	+1.2%
2	MSFT	2025-06-02	415.80	29,150,800	−0.4%
3	GOOG	2025-06-02	178.20	20,870,300	+0.8%
4	AMZN	2025-06-02	185.60	41,230,500	+2.1%
5	TSLA	2025-06-02	242.30	89,740,200	−1.7%
6	NVDA	2025-06-02	1,210.40	62,510,700	+3.5%
7	META	2025-06-02	498.90	18,620,400	+0.6%

Performance

Exspace Assistant

Generate a stock performance chart comparing AAPL and MSFT over the past 6 months

Here's a line chart showing AAPL and MSFT performance. AAPL gained +24% while MSFT showed steady growth of +18%.

Add average

Add colors

Add volume

How can Exspace help?

Code Editor

Performance

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import matplotlib.pyplot as plt stock_prices = exs.stock_prices fig, ax = plt.subplots() for t in stock_prices.Ticker.unique(): d = stock_prices[stock_prices.Ticker == t] ax.plot(d.Date, d.Close, label=t) ax.set_title("Stock Performance") ax.legend() save_plot(fig)

Exspace Assistant

Query the latest stock prices from Clickhouse

Connected to Clickhouse and fetched 7 tickers with latest close prices and volume data.

How can Exspace help?

Query Settings

Database Connection

Clickhouse ▾

Connected

SQL Editor

Stock Prices

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SELECT ticker, toDate(timestamp) AS date, close, volume, round( (close - lagInFrame(close) OVER (PARTITION BY ticker ORDER BY timestamp) ) / lagInFrame(close) OVER (PARTITION BY ticker ORDER BY timestamp) * 100, 2 ) AS change_pct FROM stocks.daily_prices ORDER BY date DESC LIMIT 100

Database Explorer

Clickhouse

daily_prices

ticker (String)

timestamp (DateTime)

open (Float64)

close (Float64)

volume (UInt64)

Database Details

Connection String

Connected

AI Agent

An intelligent layer that writes the code to shape your data

Exspace's AI agent orchestrates the entire loop — sending queries to your database, generating Python, executing analysis, and returning results. No context switching, no manual glue code.

Ask in plain EnglishDescribe what you need and the agent translates it into precise queries and code.

Continuous data flowWatch queries, code, and results cycle between your database and Python runtime.

You stay in controlReview, edit, and rerun every step — the agent accelerates your work, not replaces it.

Database

AI Agent

Python

Query → Result → Code → Output

From question to answer — without switching tools.

Data Sources

Connect to everything, everywhere

Files on your desktop, databases in the cloud, REST APIs, and enterprise platforms — Exspace brings them together in one workspace.

FilesDatabasesAPIsCloud

Interactive Grid

A data grid built for real-world complexity

Exspace tables handle nested columns, row indices, and rich cell interactions — giving you spreadsheet familiarity with the structure your data actually has.

Spreadsheet-familiar editingRow indices, typed columns, and cell selection work the way you expect.

Nested structured dataArrays and objects live inside cells — not flattened into awkward columns.

Live inline updatesClick any value to select it and watch changes type in automatically.

Sales Report

Name

Region

Revenue

Quarterly Breakdown

Click a cell to select and update

Build it. Run it. Share it.

Building Blocks

Compose your building blocks

Chain together AI-generated blocks of code to create complex workflows.

Define reusable blocksCreate database queries, datasets, and code steps once — then use them across any workflow.

AI picks the chainThe agent selects and sequences the right blocks for each task, so you never stitch pipelines by hand.

See how it connectsLinks between blocks are drawn automatically, making it easy to follow what runs and in what order.

Data

Code

Live Execution

No complex build steps required

Like a spreadsheet, Exspace automatically re-runs dependent computations when any input changes.

Automatic recalculationChange any input and every dependent result updates instantly.

Spreadsheet familiarityCells, selection borders, and live values work the way you expect.

Logic behind the gridUnderlying computations re-run on every change — not just on save.

numbers

total

Real-Time Collaboration

Collaborate with the rest of your team

Share your project with your team and collaborate on it together in real-time. Mix technical, non-technical and managers in the same project so that everyone can see the data and the changes.

Share your projectInvite teammates into the same workspace and work on it together in real time.

One team, every roleMix technical staff, non-technical users, and managers in a single project.

Everyone stays in the loopThe same data, the same changes — visible to everyone as they happen.

Quarterly Revenue

Revenue	Expenses	Margin	Forecast

Trust & control

Your data stays protected

Role-based access and automatic masking — so the right people see the right data, and AI never sees what it shouldn't.

Enterprise Access Control

Every user sees only what they're allowed to

Rows and columns are dynamically redacted based on the current user's role.

Role-based visibilityEach user sees only the rows and columns their role permits.

Dynamic redactionRestricted fields are masked in place — not removed from the dataset.

Enterprise-grade controlAccess rules apply automatically as users switch context.

Employees

Branch	Employee	Department	Salary	SSN

Users rotate automatically to show different access levels

Data Masking

Send AI the insight, not the identity

Sensitive data is automatically sanitized before being sent to the LLM, keeping your real data safe while still enabling AI-powered analysis.

Sensitive data stays putOriginal values never leave your environment unprotected.

Automatic sanitizationNames, emails, and identifiers are replaced before any LLM call.

AI without the riskGet intelligent analysis on masked data — insights without exposure.

Set it once. Let it run.

Automation Workflows

Scheduled pipelines that run while you sleep

Automated workflows periodically check your database, process data, and deliver results. Toggle each automation on or off and watch the pipeline fire in real time.

Scheduled pipelinesRun ETL and reporting jobs on intervals you define — 5 minutes to 24 hours.

Toggle on demandEnable or disable each automation independently without touching code.

Delivered resultsProcessed outputs route automatically to the people who need them.

Database

Query

ETL Process

Daily Report

24h

User

Who it's for

Built for how you work

Business Stakeholders

Ask questions in plain English. Get dashboards and reports that stay current.

Analysts & Researchers

Explore complex data, connect any source, and collaborate in real time.

Developers & Data Scientists

Compose pipelines, run Python, and automate workflows — no glue code.

Learners

Start in the browser with a familiar grid and an AI guide at your side.