AI/Machine Learning/NLP/AR/VR 2018-03-13T16:28:30+00:00
Quantilus AI NLP ML

Artificial Intelligence, Machine Learning, Natural Language Processing, Augmented and Virtual Reality

Intelligent Automation for Work and Life

At Quantilus, we have been working with AI before it became cool (and scary). Our first foray was in the field of Natural Language Processing – which we used for automated grammar and style checks of written content. Subsequently, we built tools to classify untagged content in intelligent, usable ways, and to present it for consumption with a high degree of personalization. More recently, we have been working on personality assessment of individuals based on 1) the words they speak (a relatively simple task), and 2) changes in their facial patterns based on verbal and visual cues (a much more complex task).

Want to build Virtual Reality or Augmented Reality apps for your business? We built some of the first business-focused AR apps for mobile and wearable platforms through our SAP partnership. Our apps help technical support personnel visualize product models, and also let customers visualize retail products in empty space. With the added complexity of tight integration with backend ERP systems.


Appliqant - Automated Video Interviews
APPLIQANT – the Automated Interview Robot. Disrupt recruitment through the automated screening of job candidates.
Appliqant - Automated Video Interviews
Wearable Apps for Technical Support

Discover Simple Assist – Wearable Apps for Technical Support

Wearable Apps for Technical Support
Visual Showroom - Augmented Reality

Visual Showroom – Augmented Reality App for Product Display

Visual Showroom - Augmented Reality
Deloitte - Automated Document Editing, Data Extraction

Deloitte – Automated Document Editing, Validation and Data Extraction

Deloitte - Automated Document Editing, Data Extraction
Intel - Machine Learning

Intel – Machine Learning for Customer Classification and Segmentation

Intel - Machine Learning
Intelligent Lease - Data Extraction using NLP

Intelligent Lease – Automated Data Extraction from Unstructured Lease Documents

Intelligent Lease - Data Extraction using NLP
BluePencil - Grammar and Writing Style Checks using NLP
BluePencil – Automated Grammar and Writing Style Checking using NLP
BluePencil - Grammar and Writing Style Checks using NLP


Some of the frameworks and tools that our development teams have used recently. A list that grows by the day.


Relevant, interesting and current curated research content in the field.

5 Ways to Incorporate Artificial Intelligence Into Your Small or Medium-Sized Business

July 17th, 2020|Categories: AI, NLP, Machine Learning|Tags: , , , , , , , , , , , |

In the entertainment industry, artificial intelligence or AI is commonly associated with sci-fi movies featuring human-like robots that are bent on world domination. On the other hand, news articles often link artificial intelligence to replacing human jobs with all-knowing machines. Both of these are misconstrued concepts that give artificial intelligence a bad rap.

In reality, artificial intelligence is an affordable and accessible resource that companies are becoming increasingly reliant on to solve various challenges. Let’s dive into five ways to incorporate artificial intelligence into a small or medium-sized business.



With more employees working from home, cybersecurity is more important than ever. Most employees are not working on their company’s secured wifi, which assists in protecting confidential information. Working on a less secure network leaves computers and their data vulnerable to hackers. For example, hackers use armies of internet bots that continuously work to poke holes into systems and access restricted data. Once these bots infiltrate the servers, they install a lock. Companies usually have to send the hackers money to regain access to their data.

Artificial intelligence can protect your network by creating bots to scope out weaknesses in your network. Once a vulnerability is detected, they will flag them before you do get hacked. So instead of being reactive, artificial intelligence allows companies to be proactive in defending themselves and their employees.


Hiring Employees

Hiring employees can be a lengthy and stressful process. Not only does it take a great deal of time and money to research and interview candidates, but if a new hire is not a good match, it can be expensive to rehire and train a new employee.

This is where artificial intelligence enters the equation. Artificial intelligence can pull together the best candidates from various sources, such as thousands of online job boards. Once the best candidates are filtered in, artificial intelligence can narrow down candidates using a variety of different methods. For example, software such as Appliqant utilizes automated video interviews of candidates, comparing personality profiles to that of a company, analyzing resumes, examining skills assessments, and more. After a full assessment is compiled and artificial intelligence identifies the top selections, companies are only left with interviewing candidates and picking the best person for the job. Artificial intelligence provides hiring managers more time to focus on day-to-day tasks instead of the recruiting and hiring process.


Targeting Sales and Marketing

Marketing is an essential aspect of any business, and there are countless different marketing tactics from which to choose. Whether it is television ads, digital marketing campaigns, social media, or public relations. With so many options available, it can be challenging to determine the best choices and how to allocate valuable resources properly.

Artificial intelligence benefits marketing teams because it can analyze data that might otherwise go undiscovered. Artificial intelligence can collect and study data on customers that enter a physical store, visit an e-commerce site, or have an online presence (such as social media). By analyzing customer data and behaviors, AI helps marketers identify and target the customers most likely to convert into buyers. AI also determines where the marketing dollars have the greatest return on investment, which takes the guesswork out of marketing.

It is important to note that this technology does not have to be created from scratch. Tools already exist in the marketplace, such as Conversica, Gong, Node, ScaleX, and Cortex. If leveraged correctly, these tools can be combined to build a personal and holistic analytical solution for any company. 


Customer Service

One of the most popular ways to incorporate artificial intelligence into customer service is using text chatbots. When chatbots first debuted, they would commonly respond to consumers with fixed responses and were tasked with connecting consumers to the right customer service representative. For example, consumers would go to a company’s website and begin a conversation with a bot. If the consumer told the bot they wanted to talk with someone, the bot would respond with fixed answers such as…

 “Would you like to make a return?”

 “Do you want to place an order?”

 “Do you want to call customer service?”

Depending on the consumer’s answer, the bot would transfer the consumer to the appropriate department where a human employee would begin to solve the issue.

However, the chatbot’s goal now is to see how far it can go without having a human employee intervene. Therefore, bots can now respond to unstructured questions that are more advanced than basic inquiries. All of which can be accomplished without needing human assistance to complete consumer requests. This allows human customer service agents to focus their time and efforts on the most complex cases. Lastly, chatbots enable companies to answer consumers 24/7, thus improving response time, which enhances the customer experience.


Inventory and Delivery Management 

Predictive analytics is made possible by artificial intelligence, and they are vital to inventory and delivery management. Predictive analytics can identify trends and patterns in the market by looking at data (the more data, the better) to predict which products will be needed over a period of time. This allows companies to manage orders and inventory more accurately, thus ensuring all future requests can be fulfilled without possessing excess stock.

There is also predictive maintenance when artificial intelligence predicts when a machine will need maintenance and identifies the optimal cycle for maintaining machines. Therefore, the likelihood of a machine breaking and consequently delaying production or shipping is significantly reduced. Lastly, artificial intelligence helps with quality checks. Machines can be trained to scan products and identify imperfections before leaving the factory, therefore reducing human error in spotting faulty products.


The Value of AI

Artificial intelligence is an extremely versatile tool that is implemented to solve a myriad of issues and make processes more efficient. It can save your business time and money while simultaneously maximizing revenue opportunities. Whether you want to improve targeting sales and marketing tactics, customer service, the hiring process, inventory and delivery management, cybersecurity, or another aspect of your business, there is a substantial chance artificial intelligence can help. Artificial intelligence is vital for the future of business, so implementing it in various capacities will help your company stay ahead of the curve.

Apple WWDC 2020: One Seamless Ecosystem

July 1st, 2020|Categories: AI, NLP, Machine Learning, Mobile Development, News and Announcements|

Image credits: Apple 

The announcements from this year’s Apple Worldwide Developers Conference can be summed in three wordsefficiencyconsistency, and control. As software and app developers, Quantilus is keenly interested in Apple’s vision as it determines what we are able to create and build for clients on Macs, iPhones, and iPads. New features and capabilities mean new possibilities. The news with the most impact relates to the Mac but has broader implications across iPhone and iPad in the future.  

Custom-built Apple CPU: A Monumental Shift 

The significant announcement—and certainly the one with the most buzz—is Apple’s plan to transition Mac products from Intel processors to its homegrown ARM-based chips called Apple SiliconThe new silicon chips are similar to the processors Apple uses for iPhones and iPads. Apple plans to release the first siliconpowered Mac by the end of 2020, with the full transition of the entire Mac product line occurring over the next two years. But not to worry, Apple will continue to support and release new Intel-powered Macs for years to come, so it’s not exclusive (at least for now). It does send a clear message that Apply will not rely on Intel moving forward. The move will end Apple’s dependence on a third-party CPU, which tended to dictate what, when, and how of its product lineup. Apple will now have complete control and will reap efficiencies with the integration of hardware, software, and services across its entire family of products. As a result, Apple can build better products across the board.  

So, what does this all mean for developers, clients, and end-users? The fact that iOS and iPadOS apps can run natively on silicon-powered Macs is a key benefit because an app can now work across all devices. One common and scalable architecture across all the Apple devices makes it easier for developers to create software across Mac laptops/desktops (MacOS), iPhones (iOS), and iPads (iPadOS), which equates to reduced time and costs. Additionally, the new processors are faster and offer higher performance at lower power consumption, which means better processing, improved graphics performance, and longer battery life—all valuable features for end-users.  

MacOS Big Sur: Bridging the Gap 

Touted by Apple as the biggest design update since MacOS X, the release of Big Sur (MacOS 11) offers refreshed designs for all apps on the system, including calendar, notes, podcasts, and music. The new operating system also boasts a revamped Safari browser with improved tab management capabilities, new privacy features, browser extensions, and built-in language translationOther notables include updates to Messages that offer better conversation management and group messaging options and a redesigned Maps app featuring Guides from trusted sources and 360-degree views of destinations.  

More so than the new visual look, Big Sur represents Apple’s vision of a consistent experience across its family of productsIt is a look that Apple describes as “entirely new but instantly familiar.” While the modern user interface and user experience are new to the Mac, one can’t help to notice that it looks like iOS on a computerAdditionally, the unique experience of Big Sur includes some features, such as widgets, messages, and guides, touted in the next release in the fall for iOS and iPadOSThe underlying theme is a cohesive experience across devices for Apple customersThe average American household owns 2.6 Apple products, and that number jumps to 4.7 products for affluent households. Consequently, the familiarity here is a positive takeaway because of the universal apps and features means that the user experience is consistent. Users will not need to learn how to do the same task different way on a different device.     

iOS14 and iPadOS 14: Improved usability and access 

The news for iPhones and iPads focused on updates to system software. Apple’s next iOS and iPadOS release in the fall will offer users new and improved usability, features, and experiences with their phones and tablets. All great news for the 193 million iPhone users in the United States.  

Apple has wholly rethought apps management and organization on the iPhone. Common user frustrations are addressed, and app content will be served and customized to the user thanks to on-device machine learning. Consequently, developers, clients, and end-users will have better access and visibility for installed and/or frequently used apps.  

The new capabilities to look forward to with iOS14 include: 

  • WidgetsWidgets—offering timely content at a glance—can be added to the home screen based on your interests. Additionally, smartstack will surface the widget you’ll want to use next based on the user’s behavioral patterns of activity, time, and location. 
  • App Library: The new App Library will put an end to the endless sifting and search for apps across multiple screens. App Library will organize all the apps into smart folders  and in an easier-to-navigate view. And, like the widgets, the App Library will organize and predictively serve up the apps when you need it. 
  • Compact Call User Interface: No more full-screen takeovers while on a call or using Siri.  A new compact design for these interactions allows simultaneous access and use of your screen Additionally, picture-in-picture comes to the iPhone, allowing for multitasking while on a Facetime call or watching a video. Users now will be able to Facetime chat with friend about where to go for dinner while searching for restaurants on Google 
  • App Clips: Looking to pay for your parking or coffee with an app? App Clips allow users access to certain parts of product or service apps without downloading the full app through scan of App Clip code, QR code, or NFC tags. To leverage this capability, developers need only to create a clip under 10MB in size and ideally use sign-in with Apple and Apple Pay to ensure the user won’t need to login or create an account.  
  • Updated Messages: The new features for Messages offer better management, control, and communications. With the new release, users will be able to pin messages, seamlessly keep up with group threads, and further customize images, emojis, and Memojis.  

Most of the new capabilities in iOS14 apply to iPadOS 14, so best to focus on what’s going to make the iPad experience even better and users more productive and creative. These include:  

  • New Search Tool: With a new streamlined user interface, search on the iPad will look and perform much like that on a MacAdditionally, search on iPad will be more comprehensive and capable of finding anything on your device or on the internet. This indicates further convergence between the iPad and the Mac.  
  • Scribble: Apple Pencil users will be thrilled to know that their handwritten text will now automatically convert to typed text when scribed in any text field. Write a response with Apple Pencil to a text in Messages or a keyword search in Safari. Additionally, on-device machine learning will enable the iPad to distinguish between handwriting and drawing. Notetakers can now easily select, cut, and paste handwritten notes as typed text in documents.  
  • Enhance Augmented Reality: A new ARKit will allow developers to create augmented reality apps with such depth and precision that experiences will seem even more real. The capability will impact the ability to accurately depict virtual try-on experiences, interior design, and more. And the introduction of Location Anchors will allow developers to pin their AR experiences to a specific location anywhere in the world.  

The Bottom Line 

Picture a line representing user experience with Mac at one endpoint and iPhone/iPad at the other endpoint. Now, picture each endpoint moving toward one another, inching closer and closer togetherThe implications point to complete convergence in the future across Mac, iPad, and iPhone experiences. And while these will continue to be separate products with different use cases, it signals a warm welcome for those users who have use for two or all three products 

For Apple, getting consumers to buy into the ecosystem is what it’s all about. Luckily, the experience will be seamless for the consumers who do.  


Implementing Cybersecurity During The Coronavirus Pandemic

June 29th, 2020|Categories: AI, NLP, Machine Learning, Data Science and Analytics, Emerging Tech - AR, Cloud, Blockchain, News and Announcements|Tags: , , |

Quantilus Innovation continually monitors cybersecurity news and developments that could impact companies like ours—and yours. Our team has compiled useful information and resources below to grow awareness of potential threats and prevent any compromise to systems.

Most of the working world continues to be a participant in a massive experiment on distributed, remote work structures. However, the coronavirus pandemic combined with the unprecedented, massive work-from-home shift creates another kind of threat—a breeding ground for cyber criminals to capitalize on vulnerabilities. The public health crisis has sparked a rise in cyber incidents, from phishing scams and malware to VPN DDoS attacks and vulnerabilities with teleconferencing and cloud SaaS applications, so here’s the latest on what you need to know:

Contact us to discuss penetration testing and other assessment options.

The cybersecurity specialists at Quantilus can identify your company’s susceptibility to specific external and internal threats and collaborate to mitigate the short-term and long-term risks. Call 212-768-8900 or email

How Social Distancing Guidelines will Accelerate Adoption of Existing Technologies

June 19th, 2020|Categories: AI, NLP, Machine Learning, Emerging Tech - AR, Cloud, Blockchain, Mobile Development|Tags: , , |

As the reopening phase continues to accelerate across the globe, people and businesses are entering the beginning of a new normal with social distancing, health, and safety moving to the forefront of technology. The adoption of emerging digital tools that can help promote social distancing guidelines and limit pandemic spread is increasing every day, so here are few that you should know about:


In cooperation with the CDC, many states require specific measures to be taken by businesses beginning to reopen their workplace. CompanyTRAK is one digital solution that is leading the way in contact tracing and social distancing technology.

CompanyTRAK’s solution would trace employee interaction within a building with the use of Bluetooth scanners and geofencing. Employees would receive notifications when they move within the 6-foot distance that the CDC recommends or if they’ve come into contact with someone who tested positive for COVID-19.

Another daily exercise that may become a new normal for workers across the United States is called Self-Declaration. This tool would allow companies to ask employees COVID-19 related questions daily (such as temperature) to help the employee understand if they’re prepared to go into the office or work from home.

Pending a patent, CompanyTRAK will help companies reach new regulation requirements that many states are now enforcing.


Another solution is utilizing sound and echoes to help promote social distancing guidelines. NOVID points out that Bluetooth and GPS technologies can provide inaccurate measurements at times, and their solution uses ultrasonic technology and a phone’s microphone to listen to inaudible sounds.

While some might worry about the potential privacy infringement with increased Bluetooth technology, location tracking, or voice recording, NOVID suggests their solution doesn’t record any audio in the human voice range.


Wearables are an existing technology that is finding another use to help with social distancing guidelines. Some applications, in particular, can monitor and alert people within six feet of each other in a workplace by equipping a wearable device. Estimote created a wearable device that works out of the box, keeps track of social distancing stats, is connected to a local and secure database, and can immediately report the health status of employees. The employer, meanwhile, has access to a contact tracing dashboard, tracking each device.

Also, Amazon recently announced a pilot in which they’ll be testing wearables that will send alerts to workers when they might violate rules that encourage social distancing in the warehouse. The wearable features a plastic sleeve, LED lights, and an audio system.

Contactless ATMs

An area of concern for financial institutions is supporting customers with new technology that will provide for their current safety concerns when they’re in contact with their bank.

 In a recent interview with ATM Marketplace, Simon Powley, head global advisor consultant for Diebold Nixdorf, echoed how customers feel right now: “You want your customers to be safe. You want to leverage devices that can be kept clean. You want to set up contactless transactions at an ATM or pre-stage them through a mobile phone.”

So what’s an example of the technology Simon Powley mentioned? The scenario of this type of contactless ATM transaction might include walking up to an ATM and being able to connect your phone’s banking app to the nearby ATM. In this scenario, you’d never have to touch the ATM to deposit checks or to take cash out.

Three Indian banks recently started testing contactless ATMs that featured QR codes for customers to access the ATM through their mobile devices. All PINs and cash amounts can be entered through a mobile banking application.

Contactless Elevators

Another Indian company, TechMax Solution, has been working on a touchless elevator panel for any store, office, or residential buildings. The panel “buttons” are activated when pointed at from about half an inch’s distance. Also, the panel can be added next to current button layouts, so there’s no need for building managers to worry about switching out the technology in the elevator.

From social distancing guidelines monitored from mobile devices to never needing to use your hands on communal surfaces again, the adoption of existing technology is accelerating across the globe in several industries. With this movement comes the new priority of creating efficient solutions that promote the health and safety of the user. The new normal in technology was on its way already, but recent events have the adoption of this technology a necessity.

Learn more about what Quantilus has to offer here.