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Data Management Platform

Enterprise data management and collaborative intelligence at scale.

Nsheet is a browser-native data management platform built for teams to unify, govern, and analyze live data in real time. Combine spreadsheet familiarity with database governance, automated pipelines, and immutable audit trails.

Nsheet interface preview
Live Interactive Instance

Overview

Why Nsheet exists

Most organisations still run their most important numbers in spreadsheets. The problem is never the grid - it is the fourteen copies of the grid, the version nobody can find, and the macro that only one person understands.

Nsheet keeps the familiar spreadsheet surface and fixes everything around it. Every workbook has one canonical copy, a complete revision history, and permissions down to the range. Two hundred people can be in the same sheet without a merge conflict.

It reads and writes .xlsx and .csv faithfully, so migration is an upload rather than a project, and workbooks you send out still open in whatever your counterparties use.

Concurrent editors per workbook, tested
0
Supported spreadsheet functions
0+
Median recalculation on a large model
0ms

Capabilities

What it does

Real-time co-editing

Presence, cell-level cursors, comments and threaded resolution. Conflict-free edits with no lock-out and no 'file in use' dialogs.

Full formula engine

Over 400 functions including dynamic arrays, LAMBDA, XLOOKUP, QUERY and full cross-workbook references, evaluated server-side for large models.

Pivot tables and charts

Pivots, slicers, conditional formatting and 30+ chart types that stay live against the underlying range.

Data connectors

Pull live rows from Postgres, MySQL, REST endpoints, warehouses and internal APIs on a schedule, with refresh history per range.

Scripted automation

Write typed JavaScript automations against the workbook API, triggered on edit, on schedule or on form submission - reviewed and versioned like any other code.

Governance and audit

Range-level permissions, workbook data classification, immutable revision history and exportable audit logs for every cell change.

Architecture

How it is built

Calculation engine

Rust dependency-graph evaluator that recalculates only the affected subgraph; million-cell workbooks stay interactive.

Collaboration service

CRDT-based document state with per-range access control applied server-side before any edit is broadcast.

Storage

Postgres for workbook metadata and permissions, object storage for revision snapshots, all inside your chosen region.

Automation runtime

Sandboxed script executors with explicit scopes, execution logs and hard timeouts.

Interface layer

Canvas-rendered grid in the browser, plus a documented REST and webhook API for everything the UI can do.

Workflow

A day inside the product

01

Import

Drop in existing .xlsx, .csv or .ods files. Formulas, formats, named ranges and charts carry over.

02

Structure

Set the workbook's data class, owners and range permissions once - they follow every copy and export.

03

Collaborate

Teams edit together with comments, mentions and review requests in the sheet instead of the inbox.

04

Automate

Replace the manual monthly ritual with a scheduled script, a connector refresh and an approval step.

05

Report

Publish read-only views and dashboards to stakeholders without giving away the underlying model.

06

Govern

Audit trails, retention policies and access reviews built into every workbook lifecycle.

Use cases

Where teams start

Financial planning and close

One model, many contributors, and a revision history the auditor can read.

Operations trackers

Live inventory, dispatch and rota sheets fed by connectors instead of overnight exports.

Data collection at the edge

Forms write straight into a governed sheet; field teams never touch the master model.

Analyst workbenches

Warehouse queries land in a sheet where the analysis actually happens, refreshed on a schedule.

Roadmap

What lands next

Shipping now

Offline editing

Full offline grid with deterministic reconciliation when the connection returns.

Next quarter

Formula explain

Plain-language explanations and dependency maps for inherited models nobody documented.

In research

Governed AI assist

Assistance that drafts formulas and cleans data inside your permission boundary, with every suggestion reviewable.

FAQ

Nsheet questions

See Nsheet against your own workload.

A first conversation is with the engineers who would do the work - not an account manager.