For teams with one to three data engineers
The AI partner for your data team
Gecko learns your Snowflake estate, finds what is broken, wasteful or dead, and writes the fix as a pull request. You review it. You merge it.
Free while it proves itself. You pay nothing until Gecko has delivered $1,000 of measured value — and the meter is on a page you can open.
- $412/mo
ANALYTICS.PUBLIC.ORDERS_STG
Warehouse never suspends
- $88/mo
RAW.SALESFORCE.ACCOUNT_V1
Nothing has read it in 90 days
- $260/mo
MART.FINANCE.REVENUE_DAILY
Full scans, poorly pruned
Illustration. Your numbers come from your account.
The offer
There is not much to say no to
Most tools ask you to pay for a promise. This one asks you to check the invoice against what it already did.
Nothing to pay up front
No card, no countdown. The meter runs on value delivered, not days elapsed — waste Gecko removed, priced from your own Snowflake rate sheet, plus the fixes your team merged. You are invoiced once that passes $1,000.
Nothing to break
Gecko reads your warehouse and never writes to it. Every change it proposes arrives as a pull request against your repository, with the tests already run. There is no merge button on our side.
Nothing to install
Two connections to begin: Snowflake, read-only, and the repository your models live in. No agent on your network, no schema of ours in your account.
What it does
A data engineer that never stops looking
Four jobs a small team never has time for, running every day against the estate you already have.
It learns the estate
Every database, schema, table, view and dbt model, and what feeds what. The map redraws itself on a schedule you set, so it is still true in six months.
It finds what is wrong
Cost and compute, dead and stale objects, correctness risks, structure, access and security. Each finding names the object, the evidence and what it is costing you a month.
It writes the fix
Gecko drafts the change, runs the tests, works out what it touches downstream, and opens a pull request. Review it here or in GitHub, GitLab or Bitbucket — whichever your team already uses.
It answers the question
Ask what feeds a table, what a model is for, what changed last week, or why a number moved. Gecko answers from the map it built, and shows the query it ran.
How it works
Connect, look, merge
- 1
Connect
A read-only Snowflake role and your repository. Ten minutes, and Gecko tells you exactly which grants it needs.
- 2
Let it look
The first scan maps the estate and runs the health check. You get a list of findings ranked by what they cost.
- 3
Merge what you like
Gecko turns findings into pull requests. You approve, or you do not. Nothing reaches your main branch without a person.
Control
It works inside your rules, not around them
The reason a data team can let an agent near production is that the agent cannot do anything on its own.
Metadata by default
Gecko works from Snowflake's own account metadata. It does not read the rows in your tables unless you switch that on, and you can switch it off again.
Your model, or ours
Bring your own Anthropic, OpenAI, Azure or Gemini key, let Gecko manage the model for you, or run an open-source model inside your own network so nothing leaves it.
Every action on the record
Who approved what, when, and what Gecko changed. Set whether a proposal needs sign-off before the pull request is opened, or only in Git.
Connects to what you already run
- Snowflake
- dbt
- GitHub
- GitLab
- Bitbucket
- Slack
- Microsoft Teams
- Airflow
- Fivetran
- Airbyte
- Tableau
- Power BI
- Looker
- Anthropic
- OpenAI
- Azure OpenAI
- Google Gemini
Prefer not to run a piece of it yourself? Gecko has a managed option in every category.
Find out what your estate is costing you
Create an organization, add your first account, connect Snowflake. The first findings arrive on the same day — and the bill does not arrive until $1,000 of value has.
Start free