Data Engineering for the AI Era

Ship data
pipelines with
confidence.

Test, debug, and deploy AI-generated data pipelines to production. The last mile of AI-assisted data engineering.

Start Building Read the Docs
Backed by
pipeline.py
Tower CLI
# AI-generated pipeline, Tower-verified
from tower import Pipeline, Source, Transform

class UserAnalytics(Pipeline):
    source = Source("snowflake.events")

    def transform(self, df):
        return (
            df.filter("event_type != 'test'")
              .group_by("user_id")
              .agg(
                  sessions=count("session_id"),
                  revenue=sum("amount")
              )
        )

    tests = [
        not_null("user_id"),
        unique("user_id"),
        accepted_range("revenue", 0, 1e6),
    ]
All checks passing
E
Extract
snowflake.events / 2.4M rows
PASS
T
Transform
filter + group_by + agg
PASS
Q
Quality
3/3 assertions passed
PASS
D
Deploy
production / v2.1.4
LIVE
Platform

Everything between
AI-generated code and
production.

Your LLM writes the pipeline. Tower makes sure it actually works. Automated testing, visual debugging, and one-click deploys.

Automated Testing

Schema validation, data quality checks, and regression tests that run on every commit. Catch issues before they hit production.

Core

Visual Debugger

Step through your pipeline visually. See data transformations at each stage, spot anomalies, and fix issues in minutes.

Debug

Version Control

Git-native pipeline management. Branch, diff, and merge your data transformations like application code.

Collab

Pipeline Monitoring

Real-time observability for every pipeline. Data freshness, latency, and quality metrics in a single dashboard.

Observe

One-Click Deploy

Push to production with confidence. Blue-green deployments, automatic rollbacks, and zero-downtime updates.

Ship

Universal Connectors

Snowflake, BigQuery, Databricks, S3, Kafka. Connect to every data source your stack needs, pre-built and tested.

Integrate
Traction

Built by engineers
who shipped at scale.

5.5M
Seed funding
30+
Years combined at Snowflake
10x
Faster pipeline deployment
99.9%
Pipeline reliability

"Tower solves the hardest problem in modern data engineering: getting AI-generated pipelines into production safely."

Speedinvest
Lead Investor, Seed Round

"The founders have deep expertise from building data infrastructure at Google Cloud, Snowflake, and Databricks."

Olivier Pomel
CEO, Datadog (Angel Investor)

"Every data team will need a tool like Tower. AI writes the code, but someone needs to verify it works."

Jordan Tigani
CEO, MotherDuck (Angel Investor)

From AI-generated code to production in minutes.

Tower sits between your AI coding assistant and your production environment. Write with Copilot, validate with Tower.

01
Generate with AI

Use any LLM to write your pipeline. Copilot, ChatGPT, Claude. Tower works with all of them.

02
Validate automatically

Tower runs schema checks, data quality tests, and regression suites against your pipeline.

03
Deploy with confidence

One command to production. Blue-green deploys, rollbacks, and monitoring included.

user_analytics / production
HEALTHY
snowflake.raw_events
2.4M rows
filter(event_type != 'test')
1.8M rows
group_by(user_id).agg()
342K rows
quality_checks [3/3 pass]
0.2s
deploy to analytics.user_metrics
v2.1.4
4.2s
Avg Runtime
100%
Test Pass Rate
47
Deploys Today
Team

Ex-Snowflake. Ex-Databricks.
Ex-Google Cloud.

SS
Serhii Sokolenko
Co-Founder & CEO
ex-Snowflake ex-Databricks ex-Google Cloud
BH
Brad Heller
Co-Founder & CTO
ex-Snowflake Co-founded Reflect Technologies

Stop debugging.
Start shipping.

Join the data teams using Tower to get AI-generated pipelines into production safely and fast.

Get Early Access
$ pip install tower-cli