Follow Us

What Youre Building Deserves Technology From the Future

Introducing TensorStax
TensorStax equips data engineers with autonomous AI agents that plan, generate, and maintain production-grade pipelines using your favorite tools like dbt, Airflow, Spark and the rest of your stack.
01.

Describe What You Want. TensorStax Plans It.

Start by expressing your intent, whether it’s a new dbt model, an Airflow DAG, or a full ELT flow. TensorStax interprets your requirements and drafts a structured plan aligned with your stack and conventions.
02.

Generate, Validate, and Test Automatically

TensorStax transforms the planned workflow into production-grade code across your stack, generating dbt models, Airflow DAGs, SQL scripts, and configurations. Before deployment, every component is deterministically validated and tested to ensure correctness.
Works with Your Favorite Tools
DBT logotype, png
DBT
Airflow logotype, png
Airflow
GitHub logotype, png
GitHub
GitLab logotype, png
GitLab
Spark logo
Spark
Snowflakes logo, png
Snowflakes
DataBricks, png, logo
DataBricks
AWS logo, png
AWS
Google Cloud, logo, png
Google Cloud
Azure logo, png
Azure
03.

Deploy and Scale Without Bottlenecks

TensorStax ensures your pipelines are fully validated and ready to run so you can deploy faster, with fewer errors and no guesswork.
TensorStax operates entirely within your tech stack integrating with tools like dbt, Airflow, and Snowflake, all isolated in your own VPC. No data leaves your environment.

Your Data Stack, Supercharged

TensorStax UI, png

Core Capabilities
of TensorStax

AI-powered features designed to streamline every part of your data engineering workflow.
Deliver data pipelines at lightning speed
Spin up production-ready ETL and ELT workflows in seconds with AI-assisted automation.
Deliver Data Pipelines, ui
DETERMINISTICALLY VALIDATE PIPELINES
Before anything hits production, TensorStax checks your DAGs, models, and queries for structural integrity.
TensorStax UI, Deterministically validate pipelines
Proactively detect issues in pipelines
Identify and fix pipeline problems before they cause downstream failures — automatically.
TensorStax UI command, png
Generate tests and new data models
Create dbt models and tests instantly, ensuring accuracy, coverage, and performance at scale.
Generating dbt model & tests, png

Frequently Asked Questions

How is TensorStax different from other pipeline management tools?
TensorStax uses autonomous AI to not just visualize or monitor pipelines, but to actively build, optimize, and maintain them. It integrates directly with your stack (like dbt, Spark or Airflow) and generates production-ready pipelines, with customization and version control out of the box.

TensorStax is also fully aware of your schemas, infrastructure and has context on how how you prefer to structure your pipelines.
Does TensorStax store or access my raw data?
No. TensorStax never stores or accesses your raw data. It operates on pipeline metadata and code, ensuring your sensitive data stays within your infrastructure.
Can TensorStax be deployed in my own cloud?
Yes. TensorStax supports self-hosted deployments in your private cloud or VPC, giving you full control over infrastructure and data governance.
Is TensorStax compliant with enterprise security standards?
Yes. TensorStax follows enterprise-grade security practices, including SOC 2, GDPR, RBAC, and audit logging. We ensure secure data handling and full compliance with industry requirements.
What data platforms does TensorStax support?
TensorStax integrates seamlessly with dbt, Apache Airflow, GitHub, GitLab, and is compatible with most modern data warehouses and lakehouses like Snowflake, BigQuery, Redshift, and Databricks.
How does TensorStax detect and fix pipeline issues?
TensorStax continuously analyzes pipeline logic and runtime behavior. It uses AI to detect errors, anomalies, and anti-patterns, and can automatically suggest or apply fixes through pull requests or in-product suggestions.
Can I customize how TensorStax builds and optimizes pipelines?
Absolutely. You can define custom rules, manually edit AI-generated code, and review everything via GitHub or GitLab PRs. TensorStax gives you full control over how pipelines are created and optimized.
How do I get started with TensorStax?
Getting started is simple. Just click "Request a Demo", and our team will walk you through setup, integrations, and show you how to automate your first pipelines in minutes.
Get Started with TensorStax

The Future of Data Engineering Has Already Landed.

Request a demo
Arrow icon, svg, white