We bring the power of data science and artificial intelligence to every business.

Data science is not rocket science. Thanks to technology’s advances, you can put today’s most innovative technical solutions to work in your organization and solve complex problems using custom machine learning applications. Whether you want to upgrade your enterprise’s range of capabilities or maximize customer experience, you can unleash data science’s power.


DATA Science & AI : Implementation Expertise

Data Science

Being a leading data science company, we help our clients extract valuable business insights from their data to better understand their audience, forecast demand, reduce risks, prevent cost overruns, and much more.


If you are looking for a data science consultancy or a reliable technology partner to create innovative, market-leading solutions, we are here to help!


How We Can Help You

Make data science your competitive advantage.

 AI-Based Solution

POC is an essential step before adopting any AI solution. If you have a project idea in mind, our data science consultants will verify that your concept has practical potential without any loss of time.


Fortified  of an AI-Based Product

If you need a breakthrough AI product, we are ready to create an initial version with just the right number of features to satisfy early customers and provide feedback for future product development.


AI-Driven Mobile/Web App Development

We are here to build your innovative web or mobile app from scratch and power it with AI capabilities that your users will love.


AI & ML Empowering of Your Mobile/Web App

The web & mobile app market is constantly changing. If you already have a mobile or a web app, we are ready to empower it with AI capabilities to take it to a whole new level.


ML Consulting

Have a project idea and need some help implementing it? Our data scientists are here to consult with you and share their knowledge to help you avoid any unnecessary pitfalls.






Data Warehousing

Why Implement a Data Warehouse?

A data warehouse is a centralized repository that stores integrated data from multiple systems.

A typical business has several mission-critical systems. There might be a CRM, ERP, e-commerce system, or marketing automation platform. All of these systems run on a relational database that holds crucial data.

You can consolidate all of this information by setting up a data pipeline, powered by Fortified. This pipeline extracts data from your essential systems, integrates and cleanses it, and then stores it all in one big relational database: a data warehouse.

There's a misconception that data warehouse implementation is something that you only need to think about when your data reaches a specific volume. Small and mid-size companies delay this step until later in their development because they don't see the value of a centralized repository.

Most businesses need a data repository right from the get-go, and for one specific reason: analytics. A data warehouse is one of the fastest and most reliable ways to consolidate data from multiple systems, giving your analytics team a 360° view of your customers and your operations. 

There are other reasons to consider a centralized repository, like system integration or having secure backups for disaster recovery. And getting started is easy if you have the right data warehouse implementation plan.

Big Data analytics is much more than a buzz phrase. It is a critical factor that is increasingly impacting the business landscape. Big Data has not only woven itself into the fabric of 21st century commerce, its importance is expanding and cannot be unstitched.

The latest McKinsey Global Survey on the topic reports that respondents say that since its 2017 survey, the changes data and analytics have brought to their industries are growing in both magnitude and scope. The McKinsey verdict: “A thoughtful strategy is, of course, critical to success in nearly any business endeavour, and data and analytics initiatives are no different. But the results highlight the particular perils of responding haphazardly to the competitive shifts driven by data and analytics. Among respondents whose companies have not yet met their data and analytics objectives, a growing share acknowledge that lack of a strategy for these areas is a significant obstacle to success.”

The tsunami of data is both an exciting and intimidating challenge for today’s business decision makers. Yet it is also an opportunity. Analysts and commentators are unanimous in their verdict that the appropriate deployment of data analytics will ensure businesses can boost innovation. This in turn will allow those companies to improve their commercial reach to not only new or existing, but as yet unrecognised, market opportunities.

According to Deloitte, more than 40% of Australian private companies will invest in business intelligence / data analytics in 2019. Data analytics will not only enable more effective marketing of current products but has the potential to unleash new business horizons through the understanding and creation of entirely new products and services .As a result, properly implemented data analytics will augment human capabilities, which will deliver measurable gains in employee productivity. Staff will be freed up to tackle more rewarding and higher-value tasks.

The consensus: it is the CFO level that will be best equipped to achieve these goals by taking ownership of an organisation’s data projects. While there is the strong opportunity to lead the company commitment towards this brave new world, today’s CFO needs to tread carefully on this unfolding data implementation landscape.

Data projects come to life because a business issue needs to be addressed. The starting point is to ask the right business questions. These should be driven by the overall objectives of the company. Next will be the task of addressing key metrics for key people in the business. With that blueprint in place, a more focused search can be undertaken for the most relevant data and IT environment that will satisfy the needs of the data project.

The finance department vision for 2020 and beyond has been transformed. The CFO leadership role has evolved into that of principal decision-maker and the guardian responsible for future proofing the organisation’s success. Traditionally the finance team interest was centred on accounting but is now being re-directed towards strategic financial management augmented by analytics. Today those same teams need to embrace the new holistic business model. That requires translating data insights into decisions that add value and equip the company to fully grasp tomorrow’s business opportunities.


Data Migration Services

Data Migration is the changes in data between storage types, formats, or software systems. It should be a key consideration for any system implementation, rise or consolidation. In an ideal world, it would be performed programmatically to make an automated migration. The fact is that migration experts are the most important part of the process when it is business or time-critical.

Know The Types of Data Migrations

Storage Migration

Database Migration

Application Migration

Cloud Migration

Benefits of Data Migration

Adopt Smarter Software & Systems

Helps in Resolving Anomalies and Errors in the Current System

Aid Custom Reports Over the Data Warehouse

Help in Acquisition And Alliances

About Fortified

Whether your company is migrating its data to the cloud, doing a tech refresh, or making corrections to your data center storage strategy, Fortified Systems has the extensive knowledge and experience that necessary to get the work done securely and efficiently. Fortified Systems can take care of the whole migration process from plan, development, documents, and content. Our team has proved that these are an important part of the success of the project. These features usually require collaboration among various groups, while always keeping the branding and message consistency across sites - which can influence the workload needed.

When we work with you on the data migration project, we include business and technical stakeholders in placing the objectives and take the time upfront to define data management processes and configure and test migrations.

Know- How Do We Go On Data Migration

Strat data migration processes using templates and guides

Identify legacy sources and drive specification of demands for data migration

Create profiles of data sets and drive analytics

Identify and implement data defect detection rules

Drive data validation processes

Our Expertise in Data Migration Service

Software Migration Services

 we provide migration services for enterprise-class apps, servers, operating systems, databases, websites, and IT infrastructures.

Website Migration Services

Our  developers present website migration services for businesses whose sites currently require bandwidth, advanced functionality or are housed by poor or collapsed web hosts.

Cloud Migration Services

To better strengthen organizations' data and take benefit of big data web services, we perform cloud-to-cloud and on-premises server-to-cloud migrations, transferring assets to the public, private or hybrid cloud environments.

Database Migration Services

 we process custom services for migrating databases to new servers. We migrate various data types, as well as business logic schemas by using ETL (extract-transform-load).

Server Migration Services

we implement server migration solutions for several middleware components.


Data visualization


services help communicate company’s data to business users using visual elements. For 6 years, Fortified has been offering data visualizations services to help companies spot trends, track business goal achievements, compare the performance of different categories, products, brands, and more.


Want Your Business Data to Provide Answers?


Fortified  team will develop and tailor your visualization solution so that it answers your specific business questions and help you make data-driven decisions promptly and efficiently.







Data loggers have become an important business tool to increase efficiency and reduce costs.


Knowledge of the real-time location and condition of assets in transport or machinery and key equipment is high on the wishlist of many business managers. This is because it can be crucial for making effective decisions in a highly competitive market.


Rising above the competition

You have probably experienced that items and cargo sometimes are lost or are not in the right condition when reaching the final customer. Or you have experienced how projects are delayed because of theft or key machinery breakdown. As you know, this can be very costly.


To rise above your competitors, you must optimize processes. And many of the issues mentioned above can be handled and controlled with a simple data logger that provides valuable digital information.




Augmented Reality for data analysis

Ai Based process

Analytics as a concept is not new and has been there since the evolution of human being. However, in the past 20 plus years, there has been a systematic approach to Analytics based on data stored in a structured format, in computers. This is the concept of data-driven analytics. Initially, it was in the form of simple reports on operational data. Later with the advent of Storage technologies, there arose the concepts of historical storage called Data Warehouses and Data Marts. This gave rise to more advanced forms of Analytics like OLAP or Multi-Dimensional Analytics, Predictive Analytics and Prescriptive Analytics. Even the reporting has evolved based on these Historical Data, to show more complex Representations in the form of Dashboards, Graphs, Visual representation of data, leading to sophisticated Analytics tools called Visualization tools.

While this progress has been happening in the world of Analytics, there is a parallel, related and interesting development happening in the world of Image Processing. This is the usage of Cameras to build AR (Augmented Reality) applications. Better Telecom Bandwidths, Powerful Mobile cameras, AR techniques have made it possible now to View, Point, Detect and Transmit an Identified object’s coordinates and other information to the Backend Systems for further processing.

There is also another technology called the Image Analytics, which can leverage the image captured by the AR application to do the relevant Image Analytics and pass it back to the AR application.

We  bring a Convergence of the above three Technologies Viz.: Visualization Technologies (backed by Huge Historical Databases or Big Data), Image Analytics and AR Technologies, to bring out the Next Generation Class of Analytics called as “Ground-Zero” Analytics.

Ground-Zero Analytics is basically trying to see the Descriptive, Predictive and Prescriptive Analytics, in Real-time at the Location where it is Happening, using Mobile Cameras, AR Technologies and Visualization Technologies.

Data and Big Data

Data has been around in computer systems for more than a few decades in the form of Files, Databases – either in Structured or Un-Structured forms. However, it is only recently that the data management has encompassed Huge Volumes, Variety and Velocity of data, to deliver faster processing to the downstream Reporting and Visualization applications.

The data is stored in files, Databases, Data Lakes, Data Warehouses, Subject oriented Data Marts, Analytical Databases – all with the single goal of providing valuable information to the downstream Reporting and Visualization applications – through which Business can view their data in multiple dimensions across time, place, products, people.


Data Visualizations

Data Visualization is the most Intuitive approach to depicting the Processed data to the Business Users. This uses various visualization techniques like Graphs, Plots, Tables and many more to show various sets of related data, in a single view to the Business User, so he or she can make an informed decision about their business scenarios. The current Data Visualizations tools and technologies talk about a Business Unit or Business area in the form of Data or Visuals and it is up to the Business User to have the domain knowledge of their Business or a photographic memory of their Business area, or branch or office or Warehouse or Stores.

Augmented Reality of the Domain in which we do Data Visualizations

Augmented Reality is the concept of the user seeing the reality upon which embedded information is also shown. This is not difficult to imagine. While watching a News Channel, we see the actual video footage (say of the Cricket Field) and on top of it we see Data being shown (maybe of the flight path of the ball). This is the simplest form of Augmented reality.

However, the AR (Augmented reality) in the context of Data Visualizations can get a bit more complex and much more Dynamic in nature. While the camera shows the Image of a particular domain, the domain itself is marked with specific points (either in a Marker or Markerless mode), such that when a particular Point in the Domain is in View of the Camera, the AR system can detect the Specific Point and then become aware of what that Specific Point is.

Example: When the camera is pointed toward a Refinery pipeline, the specific point on the pipeline can tell the AR system that this is a “Crude Oil” carrying pipeline toward the Main Refinery. It will also know based on the GPS coordinates of the “Crude Oil” carrying pipeline.

With this basic information about the “Crude Oil” carrying pipeline, like the Actual Image from the Camera, its GPS coordinates, and the Marker Inputs, being passed onto the AR system, there is now scope for Mashing this AR information with its related Analytics information, to derive newer forms of Analytics. This is the core concept of this article and is called “Ground-Zero-Analytics”

Introducing the concept of the AR-based-Ground-Zero Analytics

AR-based “Ground-Zero” analytics is the concept of using the AR-based information like Image, GPS coordinates, Marker information as inputs to a Backend Data Visualization Engine in realtime. The Backend Visualization Engine would then pull the relevant information about the “Marker” in context, build the necessary Charts, Graphs, Historical Summaries and then show in real-time these, Analytical Insights on the “Image” being looked at by the camera, with Zero Latency.

So, in our example, while the Camera is looking at the “Crude Oil” pipeline, at the same time the AR system would pass on information like the Image, GPS coordinates, Marker Inputs to the Data Visualization systems and Image processing systems.

The Data Visualization systems would pull out the “Crude Oil” pipeline-related information, from the databases, like Date of Installation, last Service or Inspection Date, Expected Lifetime of the Pipeline, Any History of Leakages, Breakages, Fire, etc for this “Crude Oil” pipeline. The Data Visualization system would then do the specified analysis and then build the necessary Dashboard, Graphs, Charts, or Additional Textual information – and then show it on the Screen as an Overlay on the Image being shown in the Camera – all in realtime.

In addition to the Data Visualizations, the AR systems will also pass the image of the “Crude Oil” pipeline to an Image Processing engine, to detecting any Faults, Cracks, etc. This would then be passed to the Analytical Systems and finally recommend “Preventive Maintenance” instructions on the Screen, again all in realtime.

Hence by converging AR technologies with Image Processing/Recognition and Data Visualizations, we can take the Analytics from a Backroom activity to “Ground-Zero” where the Report or Dashboard is being spoken or analyzed about, in realtime. This is the concept of the “AR-based Ground-Zero” analytics.


Technical Approach

Shown below is a high-level Technical Approach to implementing an Fortified -based “Ground-Zero” analytics:

The AR system would expose their AR data to an AR Receiver which would then curate this data and then pass it to the Consuming Systems like Data Management, Visualization and Image Processing Applications.

These Consuming applications would then pass on their relevant Analytical insights to the Visualization Outputs, Text Outputs, Image Processing Outputs and Analytics Output Modules (as shown in the above diagram).

These Analytical Outputs would then be passed onto the AR Transmitter Custom Software Module, which would then pass on their relevant information back to the AR Scenes, which can then display the same as additional Data or Insights or Intelligence on top of the current Scene in view of the Display Screen.

Benefits of AR based-Ground-Zero Analytics

AR-based Ground-Zero Analytics is the real-Time Avatar of the Offline Analytics that we are used to seeing on our Laptops and Mobiles in the form of reports, Dashboards and Visualizations, for the past few decades. While these serve our purpose fairly well, we still have to map (in our mind), the Real-World Scene/Domain about which this particular reports or dashboard or Visualization is talking about.

However, with an AR-based “Ground-Zero” analytics, we can implement the concept of “Get your Insights when you See it and Where you see it”, in realtime.

This can be very useful in situations where latency is crucial and we cannot wait for the offline BI and Analytics systems to do their analysis and then enable us to do after-the-fact analysis. An opportunity for Sales or Preventive Care could be lost.

AR-based “Ground-Zero” Analytics can be the future of all reporting and Visualizations and if merged with the Digital-Viewing-Glasses, then we can be a walking-Encyclopaedia in the True-Sense.

Use Cases of AR-based-Ground-Zero Analytics

  • AR-based Ground-Zero Analytics can be useful in the Operational Scenarios like Inspectional Visits to Oil refineries, or Office Installations or any Factory Installations. We can point our AR-enabled Mobile Camera on a particular Object in our View (which can have pre-determined Markers or using Markerless Hit-tests) and then use the information received by the AR applications, to pull out the relevant additional Information from the backend systems like Data warehouses, Visualization Software, Image processing software and then give relevant additional data or Instant Insights or Recommendations to the Field Officers or the Disaster Recovery Personnel.
  • AR-based Ground-Zero Analytics can be very useful in Defence Scenarios where a Soldier or Navy personnel can point at the Object-in-View to know more information about that object be it the terrain information, the wild fruit in the forest whether it can be consumed, Analysing enemy weapons or landmines, Enemy Troop movement or formations, Enemy Vehicles deployed, Soldier Injury analysis and suggested first aid (e.g. timely amputation of a Hand or Leg can save our Soldier if the appropriate information is provided using the AR-based Ground-Zero Analytics system.
  • AR-based Ground-Zero Analytics can be used in the Tourism industry to create AR-Guides which can show additional information, Visualizations of the Tourist Place or Monument, or Palace or Priceless Artifact in the Museum that a Visitor is viewing. This will make the Tourist’s visit more enriching. The AR-based Ground-Zero Analytics Travel companion can also give additional information about a particular shop, lake, local food speciality as seen in the local markets etc
  • AR-based Ground-Zero Analytics can be used in Server Management, especially in a Cloud Environment where there are tons of Server Farms. An AR-based Ground-Zero Analytics can give instantaneous information (in the form of Graphs, Tables, Text) to tell when was the last time a particular Server failed or had gone through maintenance or part replacement details within that Server and what was the cost and who was the service provider and what was the downtime and impact to the users of that Server. All this Insightful information can be obtained in real-time, just by Pointing our AR-enabled Mobile camera on that particular Server.
  • AR-based Ground-Zero Analytics can be a huge aid to the Insurance Investigators who can point at the part of a Vehicle Damaged in Accident and then try to get additional information about that part, its cost, availability with Suppliers, Service costs, Driver behaviors, Repair options, Insights based on other similar claims etc before computing the Insurance Claims, using the real-time information that is available on the Screens against each part of the Vehicle.
  • We can use AR-based Ground-Zero Analytics in the Global Education Industry, so be it in the Physical Classroom or in the Online Classes on a computer screen, we can get additional information about the topic being taught, by pointing our mobile camera onto the Writing board or the Computer Screen.
  • AR-based Ground-Zero Analytics can be used in the highly critical and large Security Industry, where we can get more information about a person or employee or vendor or customer who is entering or leaving our Office or Factory premises, just by pointing a mobile camera at them or their ID card and then the AR-based Ground-Zero Analytics system will pull all the recent history of that person, thus enabling the Security Personnel with additional information about the person, than what the person might be revealing. This also applies to National Security at our Borders, Immigration Offices, Airports, Local Police Surveillance, Customs, etc.
  • AR-based Ground-Zero Analytics can be used in the Billion-dollar Online Shopping Industry by the Customers, so they can get additional Text, Analytical, Audio and Video information about a product on their Mobile Camera before they make an Online Purchase. Thus, Online shopping is now more data-driven and intelligence-based, than what the Vendor wants to tell the customer.
  • In a country like India, where we still rely heavily on Small and Medium size shops for all our purchases, it would be an Innovative Concept to give each Shop an AR-Marker, so when a customer points this AR-based Ground-Zero Analytics application at the Shop’s Marker, the customer gets information about all the products that are sold in that shop, the quantities, the price range, as per their Budget. This enables the concept of Hybrid-Shopping Model ( or an Intelligent Window-Shopping Model), where a Customer is not Online, but physically in front of the Store and yet does not enter the Store yet, as he/she does Window Shopping using the AR-based Ground-Zero Analytics Application on their mobile phone – simply by pointing the Mobile camera at that Shop’s AR Marker-point.

There are hundreds of similar Use Cases as it is applicable to any Business Domain and any Industry like Newspaper, Advertising, Flyers, Books, Reference Books and Journals, Libraries, Detective Agencies, RTO offices, Traffic Violations, Legal Opinions, Medical Inference, Archaeology, Mining Industry, Port Management, Shipping Container Analytics and hundreds of other applications in all Domains of our lives and hence this concept of Ground-Zero Analytics is Ubiquitous in nature and only limited by our imagination, innovation and inquisitiveness.


 Attempt has been made to using three existing technologies like Augmented Reality (AR), Data Visualizations (backed by Data warehouses and Predictive/Prescriptive Analytics) and Image Processing, to come out with a Next-Generation Reporting Concept of Realtime “Ground-Zero” Analytics.  Ground-Zero Analytics is not a complicated concept, it just involves the integration of Outputs/Inputs from AR, Data Visualization and Image Processing engines, to generate Augmented Analytics on top of the Realtime Scene being Viewed. This would enable the users to have Realtime relevant and additional data about their object in view, and thus make intelligent and Data-Driven decisions in real-time.

Ground-Zero Analytics could soon be the new normal for all Operational Analytics, which can co-exist with the traditional Reports, Dashboards and Visualizations which would be used for Offline after-the-fact analysis on a detailed level over a historical period of time.

Ground-Zero Analytics is basically trying to see the Descriptive, Predictive and Prescriptive Analytics of an Object-in-View in Real-time at the Location where it is Happening, using Mobile Cameras, AR Technologies, Visualization Technologies and Image Analytics – thus making it a solid platform for the Intelligent Viewing Glass Assistant of the Near-Future.

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