The Problem
Most machine learning solutions on the market aren't one size fits all.
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
OOTB APIs lack flexibility and can't be tailored to address the unique challenges of diverse organizational data.
The Solution
Workflow
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
Train
Automated GPU management and version controls allow you to focus on innovation while we handle the complexities.
03
Deploy
Deploy your models seamlessly at scale. Our elastic scaling ensures responsiveness even during peak demand.
Deployment
Getting started is simple.
Integrating AI models into your platform is straightforward and doesn’t require dedicated ML teams. With our comprehensive documentation, you can leverage the power of CANNs in minutes.
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 accepts both structured and unstructured data, eliminating the need for costly data teams.
Own Your Models
Models trained with Tensorstax use only your data, are optimized for your users' behavior, and remain completely private.
Time To Production
Tensorstax's optimized SDKs make deploying AI features 4.2 times faster, enabling swift iteration.
Questions & Answers
Reach out to Tensorstax for more.