Process

Business interactions throughout organizations are increasingly data-driven, thus, connection with customers plays an ever more vital role. Through Power Platform and Azure services, we can customize and extend business processes by integrating AI cognitive abilities, creating seamless connections between various processes to ensure information flows smoothly along with the entire workflow.

Robots

temi AI Robot

Collaboration
Platform

M365

Microsoft 365 is a line of subscription services offered by Microsoft. It was launched in 2017 for a superset of Office 365 with Windows 10 Enterprise licenses and other cloud-based security and device management products.

G Suite - Google

G Suite is a suite of productivity, cloud computing and collaboration software, tools and products developed by Google.

Teams

Microsoft Teams is a cloud-based collaboration software. Core capabilities include messaging, calling, video meetings and file sharing. Teams enables people in different locations to collaborate on content in real time across various devices.

Process
Automation

Power Apps

Power Apps is a suite of services, connectors, apps which enables rapid development of custom applications to build for business needs.

AdobeSign

Adobe Sign is a cloud-based, enterprise-grade e-signature service with fully automated electronic signature workflows that lets you replace paper and ink signature processes.

Power Automate

Power Automate creates automated workflows across hundreds of apps and services through its rich collection of connectors.

SharePoint Framework

SharePoint Framework (SPFx) is a page and web part model with full support for client-side SharePoint development, integration with SharePoint data, and extending Microsoft Teams. 

Mobility

Xamarin

Xamarin extends the .NET developer platform with specfici tools and libraries for building Android, iOS, tvOS, watchOS, macOS, and Windows apps.

Android

Android is an open source, Linux-based Operating System for mobile devices developed by the Open Handset Alliance, led by Google, and other companies. 

Business
Intelligence

Power BI

Microsoft Power BI is a business intelligence platform that provides nontechnical business users with tools for aggregating, analyzing, visualizing and sharing data. Power BI's user interface is intuitive for users familiar with Excel makes it require little upfront training.

Google Smart Analytic - Enterprise BI Solution

Google Cloud’s fully managed serverless analytics platform eliminates constraints of scale, performance, and cost while improving your decision-making and accelerating innovation with real-time insights.

Big Data

Azure Data Lake

Azure Data Lake Analytics is an on-demand analytics job service that simplifies big data. Write queries to transform your data and extract valuable insights instead of deploying, configuring, and tuning hardware. The analytics service can handle jobs of any scale instantly by setting the dial for how much power you need.

Azure Data Warehouse 

Azure SQL Data Warehouse is a managed petabyte-scale service with controls to independently manage compute and storage . Built with flexibility around compute workload elasticity, it also reduce costs in a pay-as-you go environment by allowing users to pause the compute layer while still persisting the data.

Azure Data Factory

Azure Data Factory is a cloud-based ETL and data integration service. It allows you to create data-driven workflows for orchestrating data movement and transforming data at scale.

Azure Synapse

Azure Synapse is a limitless analytics service that brings together enterprise data warehousing and Big Data analytics, allowing the query of data using either serverless on-demand or provisioned resources—at scale.

Hybrid
Computing

Azure Cloud

Azure is a set of cloud services that help your organization meet your business challenges, giving you the freedom to build, manage, and deploy applications on a massive, global network using your favorite tools and frameworks.

Google Infrastructure Modernization

Google Cloud’s technology and partners offer many flexible infrastructure modernization approaches from rehost to replatform. Once the framework is in place, you can leverage various technologies—from AI to streaming analytics—as you build for the future.

RPA

Microsoft UI Flow

UI flows brings Robotic Process Automation (RPA) capabilities to Power Automate. Use UI flows to automate repetitive tasks in Windows and Web applications. UI flow is capable of recording and playing back user interface actions like clicks and keyboard input for applications that don't have easy-to-use or complete APIs available.

AI

Azure Cognitive Services

Cognitive Services bring AI within reach of developer. Utilize API calls to embed the ability to see, hear, speak, search, understand, and accelerate decision-making into business apps.

Google Cloud Platform (GCP) Vision AI

Integrate computer vision models into your applications and web sites.
Utilize AutoML Vision or pre-trained Vision API models to understand text, detect emotion, and more to gain insights from your images in the cloud or at the edge.

Microsoft Translator

Microsoft Translator is a multilingual machine translation cloud service with text and speech translation capabilities provided by Microsoft. It is integrated across various consumer, developer, and enterprise products. 

Chatbot

Azure Bot

Azure Bot Service offers the ability to add intelligent agents (chatbots) capable of conversing with human without having to commit the resources to develop one's own AI.

Google Dialogflow

Dialogflow is a natural language understanding platform, giving you the ability to provide engaging ways for users to interact with your product by integrating conversational user interface into your mobile app, web application, device, bot, interactive voice response system, and so on with Dialogflow.

Azure Bot Framework

Develop intelligent, enterprise-grade bots to enrich the customer experience while maintaining control of your data. Build any type of bot—from a Q&A bot to branded virtual assistant—to quickly present users with the answers they need.

Machine
Learning

Azure Machine Learning

Empower developers and data scientists with a wide range of productive experiences for building, training and deploying machine learning models faster than ever.

Google Machine Learning

As a cornerstone of Google’s internal systems for years, Google Machine Learning automates data-driven systems on a massive scale. This experience has provided unique insight into the right frameworks, techniques, infrastructure, and data that can help customers complete a successful journey toward getting value out of machine learning.