Introducing Babel-Fish A.I., where our name is not just a nod to Douglas Adams' galactic adventures but a promise of groundbreaking Artificial Intelligence and Deep Learning solutions that will take you to the top faster than you can say "Don't Panic!" Let's navigate the digital universe together with technology that's out of this world!
CEO/Owner
Jason Brazeal
Lead Engineer of Artificial Intelligence/Deep Learning/Neural Networks
For inquiries about our Deep Learning Solutions for your business feel free to contact us
@
info@babel-fish.ai
Babel-Fish A.I. is a registered Trademark ®
© Babel-fish A.I. 2024
Babel-Fish AI Questions & Answers:
Get Started with Custom Machine Learning Models in Just a Few Weeks
At Babel-Fish AI, we understand the importance of timely delivery. That's why we can typically have a custom-built machine learning model up and running for you within a few weeks. Our team will work closely with you to ensure a seamless integration, and we'll keep you updated every step of the way.
Ongoing Support for a Smooth Experience
We're committed to providing ongoing support to ensure your custom machine learning model continues to meet your evolving needs. Whether you need upgrades, enhancements, or troubleshooting, our expert team is here to help. And, for an additional fee, we can also provide premium support packages tailored to your specific needs.
Secure Payment Options
At Babel-Fish AI, we prioritize security and convenience. We accept payments through Stripe for Business, a trusted and secure platform. For your peace of mind, we also offer flexible payment terms to fit your budget.
In most custom work cases, such as machine learning models, mobile applications, etc
We accept 50% down to begin the project with the remaining balance being due upon completion and prior to deployment.
Payment Terms
To ensure a smooth project start, we typically require payment prior to commencing work. For custom projects like machine learning models, we require a 50% deposit upfront, with the remaining balance due upon completion and prior to deployment. This ensures we can dedicate the necessary resources to deliver a high-quality outcome.