Apps your team works in. Not just reports.
Most reporting tools are read-only. But work runs on decisions – approvals, adjustments, corrections, comments – so teams fall back to spreadsheets, emails and manual loops.
Astrato closes the loop: describe the app you need and Astrato builds it on your warehouse, with charts, forms, writeback, workflow triggers and AI, so a decision gets made and recorded in the same place.
What can you build?
Planning & budgeting
Adjust forecasts, submit budgets and lock periods right in the app. Changes write back to your warehouse with a full audit trail, so nobody emails spreadsheets around to agree a number.
Forms & data input
Let the people who own the data enter it themselves. Forms check the input and write it straight to your warehouse – no ticket to engineering, no copy in a spreadsheet.
Predictive modelling
Test forecasts and what-if scenarios on live data: change an input, see the outcome straight away, and save the scenarios worth keeping. Model churn risk, price sensitivity or resource allocation without waiting on your data science team.
Astrato lets me build advanced data products / data apps quickly and at a very low cost. It means I can sell analytics to markets that don’t traditionally have the budget or resources to invest in dedicated analytics products.
How it works
Describe it. Astrato builds it.
Tell Nash what the app needs to do – the inputs, the checks, who signs off – and watch it take shape in a live preview. Prefer your own tools? Build with Claude, ChatGPT or VS Code connected to Astrato, and keep the code in your own repository.
Write back in real time
People update records, submit inputs and approve changes right in the app. Every change goes straight to your warehouse, with role-based permissions and a full audit trail.
Trigger your wider stack
A button in your app can call a stored procedure or external function in your warehouse – to update Salesforce, post to Slack, send an email or start any downstream workflow. Everything runs through your governed data platform.
Spot what needs attention before anyone goes looking.
Apps can summarise what changed, flag anomalies and send alerts, and Nash can run on a schedule to check in for you. The semantic layer gives AI the business context behind the data, so it knows what "revenue" means, not just which column it lives in. Bring your own model – OpenAI, Gemini, Snowflake Cortex or another – and your data stays in your warehouse.
Every action stays inside your rules.
Every writeback, every action and every AI query runs through your existing data platform, with the permissions, row-level security and audit trails you've already set up. No data copies, no sync pipelines, no governance gaps.
Build your first business app today
Frequently asked questions
What happens if two users write back to the same record at the same time?
The last write wins at the database level, the same as any SQL operation. For use cases where that matters — collaborative forecasting, shared budgets — you can layer approval workflows or row-level locks so concurrent edits are serialized. The warehouse stays the arbiter of truth, not the BI tool.
Can end users actually update data from inside an app, and is that safe?
Yes. Astrato supports writeback through governed SQL inserts and updates, with audit trails and optional approval workflows. Role-based permissions control who can edit what, and every change is logged at the warehouse level, so your data team keeps full visibility.
Can data apps trigger actions in other systems like Salesforce or Slack?
Yes. An app can start a downstream workflow – send a message, update a record, kick off an approval or call an API – through a stored procedure or external function in your warehouse. It's how a report becomes a tool people work in.
Do we need developers to build data apps in Astrato?
No. Describe the app to Nash and it builds it in a live preview, using the definitions in your semantic layer. If developers want the code in their own repository, they can build with their own AI assistant and the Astrato CLI.
If a user enters a bad forecast number, how do we roll it back?
Every writeback is logged with user, timestamp, and payload, so you have a full audit trail. You can either revert the specific record from history, restore from a warehouse snapshot, or require approval workflows on sensitive fields in the first place so bad data never commits.
Why not Sigma Computing embeds?
Most tools still treat embedding as an extension of dashboards: limited control over presentation, a spreadsheet-style experience that doesn't match most products, and little room to tailor what your customers see.
Astrato builds apps that feel native to your product – not an embedded worksheet.
That means:
Astrato lets you design analytics that feel native to your product — not an embedded worksheet.