Describe the app you need and Astrato builds it on live Snowflake data.
No extracts, no copies, no second security model – your roles, row-level security and masking rules carry through on day one.


Write back to Snowflake from any app and chain no-code actions into guided workflows – approvals, forecasts, scenario plans. Act on the numbers without leaving the app.
Embed pixel-perfect, white-labelled apps in your product in days – multi-tenant by design, isolated at Snowflake's own row level.
Business users explore live Snowflake data through no-code apps on a governed semantic layer – self-service that never breaks the numbers.
Most BI tools and app builders weren't built for that – they extract, copy and re-govern your data somewhere else. Astrato takes the opposite view. Snowflake is the system of record. Every app you build should run on it.

Every query runs in Snowflake – Astrato never copies your data out. Identical queries return from Snowflake's result cache for up to 24 hours, with no compute spent on the repeat. Snowflake's elastic compute scales to absorb spikes in concurrency, whether 50 people open an app or 5,000. You're spending on the Snowflake compute you already run, not feeding a second stack with its own infrastructure.

Nash, Astrato's AI assistant, turns a plain-language request into a working app – semantic model, pages and all – on live Snowflake data. Run it on Snowflake Cortex and the model executes inside your warehouse, so your data never leaves it. Prefer Claude or ChatGPT? Connect them through MCP and they work from the same governed definitions.
Snowpark runs Python, Java and Scala inside Snowflake – forecasting, clustering, full ML. A data scientist builds a model once; Astrato surfaces it as a reusable function any app can run live. With writeback, business users drive it themselves – change an input, get the forecast in seconds – and nothing ever leaves Snowflake.

Astrato acts as the shop window for everything happening in Snowflake, while all computation and governance remain in code within our data warehouse. Time-to-insight has gone from weeks/months to days/hours.






Astrato is a verified Snowflake technology partner, SOC 2 Type II and ISO 27001 certified, with HIPAA and GDPR compliance. Connect the way your policy requires – passthrough authentication, key-pair service accounts, MFA or External OAuth – and every query executes inside Snowflake under your own roles and access policies, so your existing audit trail captures it.



No. Astrato queries Snowflake live – no extracts, no copies, no separate cube. Every app runs against your warehouse in real time, so there's only ever one source of truth.
Through Snowflake's native connection – with passthrough authentication, key-pair service accounts, MFA, or External OAuth (Okta, Azure AD, SAML). Your roles, row-level security and masking carry through from Snowflake automatically, so there's no second security model to maintain or audit.
Astrato pushes every query to Snowflake and uses its result cache, so identical queries return without re-spending compute. You're paying for the warehouse you already run, not a duplicate data stack, which keeps cost predictable and controllable.
Yes. Writeback lets users update records in Snowflake directly from an app – approvals, forecasts, scenario plans – and Snowflake Time Travel keeps every change tracked and recoverable.
Yes. Nash, Astrato's AI assistant, can run on Snowflake Cortex – the model executes inside your warehouse and only the text response comes back, so your data never leaves Snowflake. You govern it with your own AI policy.
Yes. Snowpark models (Python, Java, Scala) – forecasting, clustering, ML – surface as reusable functions in any app, and pair with writeback to run live on user input.