Autonomous AI Data Engineer

Have autonomous agents run large-scale data jobs, migrate databases, optimize ETL processes, and manage data ingestion—all directly within your cloud infrastructure.

Request a free account.

Autonomous AI Data Engineer

Have autonomous agents run large-scale data jobs, migrate databases, optimize ETL processes, and manage data ingestion—all directly within your cloud infrastructure.

Request a free account.

Autonomous AI Data Engineer

Have autonomous agents run large-scale data jobs, migrate databases, optimize ETL processes, and manage data ingestion—all directly within your cloud infrastructure.

Request a free account.

Autonomous AI Data Engineer

Have autonomous agents run large-scale data jobs, migrate databases, optimize ETL processes, and manage data ingestion—all directly within your cloud infrastructure.

Request a free account.

The Problem

Data science workflows often struggle with efficiency and scale.

Data science workflows often struggle with efficiency and scale.

Data science workflows often struggle with efficiency and scale.

Data Quality Issues

Data is often unclean, inconsistent, and unstructured, making it time-consuming to utilize effectively.

Limited Bandwidth

There’s a shortage of SMEs, and resources are tied up in long-term tasks like data pre-processing, model tuning, and evaluation.

Generic Solutions

Existing date tools struggle with complex workflows, require manual setups, and create inefficiencies when scaling across environments.

The Solution

Accelerate Data Engineering with
TensorStax Autonomous Agents

Accelerate Data Engineering with
TensorStax Autonomous Agents

Accelerate Data Engineering with
TensorStax Autonomous Agents

UserID

ItemID

TimeID

DeviceID

LocationID

Feature-Engineer

DataIngestionJob

SnowflakeMigraion

Works out of the box with your data stack:

Works out of the box with your data stack:

Works out of the box with your data stack:

Workflow

Boost AI adoption with intelligent self-managing agents to do the hard work.

Boost AI adoption with intelligent self-managing agents to do the hard work.

Boost AI adoption with intelligent self-managing agents to do the hard work.

01

Connect

Connect to various sources for data integration, structured or unstructured, eliminating the need for complex data engineering.

02

Data Jobs

Execute large-scale data processing tasks, from preprocessing and cleaning to advanced transformations, all managed autonomously.

03

Scale

Easily scale data pipelines from preprocessing to complex transformations, fully automated within your infrastructure.

Session Created...

Pulling Data from Redshift

Pre-processing with Dask

Training with Anomaly Model

Connect to K8s cluster

Deploy on AWS g4dn

Tensorstax Agent

Got it! Here are the steps to be completed:

Ask a follow-up question

Identify 2024 Q2 data in Redshift.

Clean and process the identified data for training on the anomaly detection model.

Hyperparameter tune the model.

Deploy the model on Kubernetes with 3 min replicas on AWS g4dn.

Session Created...

Pulling Data from Redshift

Pre-processing with Dask

Training with Anomaly Model

Connect to K8s cluster

Deploy on AWS g4dn

Tensorstax Agent

Got it! Here are the steps to be completed:

Ask a follow-up question

Identify 2024 Q2 data in Redshift.

Clean and process the identified data for training on the anomaly detection model.

Hyperparameter tune the model.

Deploy the model on Kubernetes with 3 min replicas on AWS g4dn.

Deployment

Getting started is simple.

Getting started is simple.

Getting started is simple.

Getting started with TensorStax is designed to be simple and intuitive. Our platform seamlessly integrates with your existing data infrastructure, allowing you to quickly connect your data sources.

Establish a secure connection to our API to start sending and receiving data.

Start training with a single command, and let our platform handle the rest.

No Pre-Processing

TensorStax can autonomously pre-process, clean and restructure large datasets, eliminating the need for dedicated data teams.

Own Your Pipelines

Data pipelines built with TensorStax use only your data, are tailored to your specific workflows, and remain fully private within your cloud.

Time To Production

TensorStax autonomous agents speed up data cleaning by 30x and making ETL jobs 12x faster, enabling swift iteration.

Get Started with TensorStax

Get Started with TensorStax

Get Started with TensorStax

Get Started with TensorStax

Simplify your data pipeline and accelerate ML development. Get started for free.

Simplify your data pipeline and accelerate ML development. Get started for free.

Simplify your data pipeline and accelerate ML development. Get started for free.

TensorStax

Autonomous agents for data engineering.

©2024 TensorStax.

TensorStax

Autonomous agents for data engineering.

©2024 TensorStax.

TensorStax

Autonomous agents for data engineering.

©2024 TensorStax.

TensorStax

Autonomous agents for data engineering.

©2024 TensorStax.