RECOMMENDER SYSTEMS.

Many businesses gain a significant advantage over their competitors by customizing products or content recommendations for their customers.

Get ready to experience the power of nouns.ai's AI-driven recommender system - it takes into account your content preferences and provides you with the most personalized experience possible through content-based filtering.

Get the tailored recommendations you need for successful digital marketing - all at the touch of a button!

Such personalization leads to higher engagement, and thus, improved sales and profit. If your organisation is in the business of marketing products or content, nouns.ai can help you provide personalised recommendations so that you can authentically reach out to your audience.

Our e-commerce clients are particularly interested in developing customised product recommender systems that will appeal to customers' preferences, driving up their sales figures. Nouns.ai is equipped with techniques such as collaborative filtering that allow us to create such systems, giving customers tailored recommendations.

Our tech stack.

Our team of developers, data scientists and designers provide a comprehensive tech stack.

AI & Data Science

Pytorch

DVC

Mlflow

Amazon
sagemaker

Google auto ml

Vertex AI

Azure AI

Scikit-learn

Tableau

XGboost

Seaborn

Databreaks

Fastapi

Matlotlib

Pandas

Numpy

Tensor flow

Air flow

Flask

Kubernetes

Microsoft power BI

Spark

Docker

R

Ploty

Mobile

Java

Swift

React Native

Flutter

Kotlin

Design

Figma

Photoshop

illustrator

Indesign

XD

React

Angular

Vue

Webflow

Front-end

Node

Python

Rails

Django

Back-end

Amazon web
services

Azure

Google Cloud

Systems