Products

Intuz Snipe-IT Container is a pre-configured, ready-to-run image for running SnipeIT on Amazon ECS. We have also integrated PHPMyAdmin and webmin into it.

This is a ready to use minimal CentOS 7 ARM image, mainly used as a common base system on top of which other appliances could be built and tested.

This is a ready to use minimal CentOS 7.9 ARM image, mainly used as a common base system on top of which other appliances could be built and tested.

Intuz Standard WordPress CloudFormation Stack with RDS and EC2.

EVA is a voice biometric extension that allows organisations to implement voice identification & verification capabilities to their Amazon Connect service. EVA is the next-gen voice biometric capability that provides frictionless and delightful customer experience and improved security.

This is a minimal RedHat Enterprise Linux RHEL 7.6 ARM image, mainly used as a common base system on top of which other appliances could be built and tested. It contains just enough packages to run within AWS, bring up a SSH Server and allow users to login. Cloud-init, as well as the security updates available at the release date are included.

The Managed Connectivity service by Telenor Connexion is used by industry leaders to connect mobile IoT equipment globally. Induo - Connectivity for IoT Gateways is providing enterprises easy access to an industry grade IoT connectivity service, tailored for Induos gateway products.

Intuz Mautic Container is a pre-configured, ready-to-run image for running on Amazon ECS. We have also integrated phpMyAdmin and Webmin into it.

This is a ready to use minimal AlmaLinux 8 image having the 8 GiB default instance volume managed with LVM.

Ubuntu Server delivers services reliably, predictably and economically. It is the perfect base on which to build your instances.

Data Governance use case is a part of the Analytical Data Platform which includes Data Quality based on input data or results of data analytics and Data Lineage based on data pipeline and represent dependency between data.

This is a Sentence Pair Classification model built upon a Text Embedding model from TensorFlow Hub

It takes a text string as input and classifies the input text as either a positive or negative movie review. The Text Embedding model which is pre-trained on WikiPedia and BookCorpus returns an embedding of the input text. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet-21k which comprises images of different classes. The model predicts classes including the additional class for background. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

This is a Object Detection Answering model from TensorFlow Hub

This is a Image Classification model from PyTorch Hub

This is a Sentence Pair Classification model built upon a Text Embedding model from PyTorch Hub

This is a Object Detection Answering model from TensorFlow Hub

This is a Object Detection Answering model from TensorFlow Hub

This is a Extractive Question Answering model from PyTorch Hub