Deepslate

Data work that runs itself.

Deepslate sits between your team and your stack. You ask for things in plain English. We write the SQL, run it under your policy, and the log sticks around for whoever needs it next.

Connects to Snowflake, Databricks, Postgres, dbt, and Airflow today. We add new connectors when customers need them.

Active integrations:

  • Supabase
  • Databricks
  • PostgreSQL
  • Snowflake
  • MySQL· soon
  • AWS S3· soon
  • MongoDB· soon
SupabaseSupabase
AWSAWS
DatabricksDatabricks
SnowflakeSnowflake
BigQueryBigQuery
PostgresPostgres
AirflowAirflow
SparkSpark

Every step is visible.

You ask a question. Before anything runs, you see what the agent pulled from your warehouse and the SQL it wrote. If it looks right, you let it go. If not, you don’t.

You weekly active users over the past 10 weeks, by plan
14:02:11readfound events and users in your warehouse
14:02:12writedrafted SQL · 18 lines · waiting on approval
14:02:12runrunning query · read-only
10 rows returned· 124 ms

It’s a context layer that can also do the work.

We index your warehouses, lakehouses, dbt repos, orchestrators, and docs continuously. When a column drops or a model gets renamed, the index catches up in minutes — so when the agent answers, it’s working off what your stack actually looks like today.

On top of that index, the agent can write SQL, build pipelines, or set up quality checks. All of it goes through whatever policy you’ve set, and anything that ran ends up in the log along with the catalog state at the time.

Watch it run.

Most of this happens without you. You step in at the approval gate.

indexing connectors

  • snowflake://prod314 tables · 18 schemas
  • databricks://lakehouse87 models · 412 tests
  • postgres://app22 tables · 4 schemas

resolved entities

events.user_idevents.created_atusers.is_activeusers.plan

Connectors index your warehouse continuously. Schema and lineage stay current.

Built so the audit doesn’t hurt.

Nothing the agent does runs without approval. By default execution is read-only and scoped to whatever the plan called for. Every prompt, plan, run, and output goes into the log, attached to the user who started it.

requestplanapprovescoped runimmutable log

When someone asks how a number got built, the log has the answer — including what the catalog looked like at the time.

Works with the modern stack you already have.

Supabase logo
Databricks logo
Snowflake logo
AWS S3 logo

Open the console. Ship something useful.