SAVVI is a turn-key solution for businesses looking to put their data to work using AI and machine learning. Easy to use, scalable, and secure - AI efficiency with the fastest time-to-value on the market.
Achieve more, faster.
Taking you from data collection to actionable Machine Learning-powered decisions in your product quickly with an intuitive tool.
Use SAVVI improve decisions while also learning what data improved performance toward your goals and what data is just noise.
Technology with a purpose - goal oriented, results driven, practical Machine Learning for your business goals and workflows.
Set controls for the Machine Learning decisions. Make sure your ML decisions are within bounds your business is comfortable with.
No "Black Box" models here. See your models, audit the model decisions and learn what data is used. Complete transparency.
Lack clean, usable causality data for ML? SAVVI can collect data needed to drive decisions with one simple JavaScript drop-in.
SAVVI is powerful, and fast, enough to handle decisioning against thousands of options that update in real-time and change.
Ever wondered "What if?" you made a given decision with your data? Now let SAVVI show you - no development resources needed.
Using single-tenant architecture - your data, models, API serving are separate and isolated. Hosting options: With SAVVI, your VPC or on-prem.
The team at SAVVI AI has worked at Fortune 50 Financial Institutions and top global brands. We architected SAVVI from the ground up to meet the rigorous scale and security needs of these large-scale, regulated companies. This commitment benefits all of our partners.
Data, models, and APIs are isolated and secure. Single tenant architecture.
All data is stored encrypted at rest using AWS KMS.
SSL certificates are 2048 bit RSA, signed with SHA256.
You control who accesses your APIs via your own API keys.
SAVVI AI is SOC 2 - Type 2 certified. Regularly Pen tested.
Modern session management using JWT tokenization.
In 15 minutes see how SAVVI Al can benefit your business.