Use Cases!

AI Transformation

All

KYC Verification

Using AI the data collection process becomes easy and fast, which often requires
days to months in a manual process. Starting from data collection to data extraction, verification,
fraud detection everything can easily be done by using AI.


Learn More

Market Intelligence

Market Intelligence: With the help of AI, we can build a system where we can track the sentiments, what people are talking about, how they react to the products, etc. To build a market intelligence system we will have to incorporate multiple models that will give us different pieces of information.


Learn More

Vehicle Damage Detection

Vehicle Damage Detection: We can use an object recognition model to give better solutions to this problem. The object recognition model should be an instance segmentation model that permits us to distinguish pixel-wise areas for our classes or labels. 


Learn More

Risk Management

AI-Based models will help companies by analyzing already existing or past
customer information and then apply it to new customers in a faster way and with accurate results.
AI-Based risk management systems or models will allow insurance companies to attempt to prepare
for the unexpected by reducing risks and as well as extra costs before they happen.


Learn More

Inquiry Chatbot

Inquiry Chatbot: AI ChatBot provides a solution for this such that it can easily understand human speech and provide a direct solution to client or customer issues by using Natural Language Processing techniques. This experience is very comfortable for clients too. Also, it is realized that few parts of approaching inquiries to the client service focus are more apt for bots to deal with.


Learn More

Call Transcription

AI-based automatic call transcription models or systems are essential in
telecommunication industries to better understand customer emotions towards their services and
products. By using AI models, we can extract keywords or most effective words from the text after converting audio of voice or video calls. By this information, call centers agents are able to analyze what keywords are present in successful or unsuccessful call conversations.


Learn More

Predicting Customer Behaviour

Today, financial organizations are interested in adopting the idea of turning to artificial intelligence for help in the sales process. Depending on the business, it tends to be somewhere in the range of five to multiple times more costly to procure another client than holding a current one. By expanding client retention by just 5% can build benefits by 25 to 92 %. Companies hoping to improve handling of customer churn and retention ought to be hoping to use AI intensity.


Learn More

Driver Drowsiness Recognition

The ideal approach to identify the drowsiness of drivers is by utilizing their eye state. The driver’s symptoms can be observed to decide the driver’s drowsiness sufficiently early to take preventive activities to keep away from an accident. AI-Based models will consider various attributes of the driver’s eye like longer blink duration, slow eyelid movement, smaller eye openings, and frequent nodding.


Learn More

Banking Products Recommendations System

It is imperative for Banks to sell the right products to customers. Banking industries are starting to adopt recommender systems, or engine techniques to offer personalized recommendations to existing and prospective customers could have a tremendous impact on product sales, directly influencing turnover and income. And also, the gap between customer expectations and the bank’s personalized offering will be decreased.


Learn More

Patient Care Chatbot

AI chatbots can improve the supplier’s capacity to analyze reliably and precisely. All medical agencies are willing to offer their types of assistance to their patients. However, in all actuality, overpowering the remaining task at hand doesn’t generally let them offer the best support. In present days, healthcare organizations adopting AI solutions to their problems, they can utilize chatbot to ensure 24/7 availability of medical services, answer repetitive inquiries, or schedule appointments.


Learn More

Resume Screening

Nowadays, the number of candidates for each job post is high, but the recruiter team is less. The workload on the recruiting team will be increased day by day. The manual resume screening process is time-consuming and needs high resources in terms of recruiter’s efforts.

To avoid these consequences, AI-based models provide excellent solutions or results in the field of recruitment. Like that AI-Based solution also improves the resume screening, which is the most important task of recruiting.


Learn More

Digital Radiology or X-Ray Analysis

Over the past decade, medical image analysis has significantly benefited from deep learning (DL) applications or AI techniques to diverse imaging modalities and organs. Deep learning can be used for automation of diverse time-consuming duties executed through radiologists such as lesion detection, segmentation, classification, monitoring, and additionally prediction of treatment reaction that is generally now no longer manageable without software


Learn More

Due Diligence

Due diligence is a fundamental errand for some, lawful experts, giving customers indispensable data concerning their M&A achievement. And keeping in mind that due diligence is crucial for evaluating chances and organizing an agreement, it can likewise be extremely tedious. So present-day law offices are transforming these arrangements into AI-Based solutions for lessening time and cost-adequately.


Learn More

Automated Contract/Tender Analysis

Using AI the data collection process makes it really easy and fast, which often requires days to months in a manual process. Starting from data collection to data extraction, building models for risk level detection, clause identification and showing suitable playbook rules for high risk sentences, all these will be done within a few minutes.


Learn More

Finance

KYC Verification

Using AI the data collection process becomes easy and fast, which often requires
days to months in a manual process. Starting from data collection to data extraction, verification,
fraud detection everything can easily be done by using AI.


Learn More

Marketing

Market Intelligence

Market Intelligence: With the help of AI, we can build a system where we can track the sentiments, what people are talking about, how they react to the products, etc. To build a market intelligence system we will have to incorporate multiple models that will give us different pieces of information.


Learn More

Telecom

Inquiry Chatbot

Inquiry Chatbot: AI ChatBot provides a solution for this such that it can easily understand human speech and provide a direct solution to client or customer issues by using Natural Language Processing techniques. This experience is very comfortable for clients too. Also, it is realized that few parts of approaching inquiries to the client service focus are more appropriate for bots to deal with.


Learn More

Call Transcription

AI-based automatic call transcription models or systems are essential in
telecommunication industries to better understand customer emotions towards their services and
products.


Learn More

Insurance

Vehicle Damage Detection

Vehicle Damage Detection: We can use an object recognition model to give better solutions to this problem. The object recognition model should be an instance segmentation model that permits us to distinguish pixel-wise areas for our classes or labels. “instance segmentation” signifies sectioning individual items inside a scene, whether or not they are of the equivalent type — i.e, recognizing individual vehicles, people, and so forth.


Learn More

Risk Management

AI-Based models will help companies by analyzing already existing or past
customer information and then apply it to new customers in a faster way and with accurate results.
AI-Based risk management systems or models will allow insurance companies to attempt to prepare
for the unexpected by reducing risks and as well as extra costs before they happen.


Learn More

Legal

Due Diligence

Due diligence is a fundamental errand for some, lawful experts, giving customers indispensable data concerning their M&A achievement. And keeping in mind that due diligence is crucial for evaluating chances and organizing an agreement, it can likewise be extremely tedious. So present-day law offices are transforming these arrangements into AI-Based solutions for lessening time and cost-adequately.


Learn More

Automated Contract/Tender Analysis

Using AI the data collection process makes it really easy and fast, which often requires days to months in a manual process. Starting from data collection to data extraction, building models for risk level detection, clause identification and showing suitable playbook rules for high risk sentences, all these will be done within a few minutes.


Learn More

HR

Resume Screening

Nowadays, the number of candidates for each job post is high, but the recruiter team is less. The workload on the recruiting team will be increased day by day. The manual resume screening process is time-consuming and needs high resources in terms of recruiter’s efforts.

To avoid these consequences, AI-based models provide excellent solutions or results in the field of recruitment. Like that AI-Based solution also improves the resume screening, which is the most important task of recruiting.


Learn More

Healthcare

Patient Care Chatbot

AI chatbots can improve the supplier’s capacity to analyze reliably and precisely. All medical agencies are willing to offer their types of assistance to their patients. However, in all actuality, overpowering the remaining task at hand doesn’t generally let them offer the best support. In present days, healthcare organizations adopting AI solutions to their problems, they can utilize chatbot to ensure 24/7 availability of medical services, answer repetitive inquiries, or schedule appointments.


Learn More

Digital Radiology or X-Ray Analysis

Over the past decade, medical image analysis has significantly benefited from deep learning (DL) applications or AI techniques to diverse imaging modalities and organs. Deep learning can be used for automation of diverse time-consuming duties executed through radiologists such as lesion detection, segmentation, classification, monitoring, and additionally prediction of treatment reaction that is generally now no longer manageable without software


Learn More

Banking

Banking Products Recommendations System

It is imperative for Banks to sell the right products to customers. Banking industries are starting to adopt recommender systems, or engine techniques to offer personalized recommendations to existing and prospective customers could have a tremendous impact on product sales, directly influencing turnover and income. And also, the gap between customer expectations and the bank’s personalized offering will be decreased.


Learn More

Manufacturing

Driver Drowsiness Recognition

The ideal approach to identify the drowsiness of drivers is by utilizing their eye state. The driver’s symptoms can be observed to decide the driver’s drowsiness sufficiently early to take preventive activities to keep away from an accident. AI-Based models will consider various attributes of the driver’s eye like longer blink duration, slow eyelid movement, smaller eye openings, and frequent nodding.


Learn More

Ecommerce

Predicting Customer Behaviour

Today, financial organizations are interested in adopting the idea of turning to artificial intelligence for help in the sales process. Depending on the business, it tends to be somewhere in the range of five to multiple times more costly to procure another client than holding a current one. By expanding client retention by just 5% can build benefits by 25 to 92 %. Companies hoping to improve handling of customer churn and retention ought to be hoping to use AI intensity.


Learn More

Datasets

Legal Clause Classification

We often see hundreds of contracts or tenders coming up for review. In law firms we usually come across many tenders and their described contents and the first thing we do is to identify from which clause it comes from. So to build a clause identification model we need to have data, which needs to be annotated according to the required clauses. 


Learn More

Intent Classification Dataset

The intent classification dataset is used for classifying the intention of a text/ sentence. In the intent classification dataset, every text/sentence of the dataset is associated with one or more corresponding intent labels. This intent Classification Dataset has different kinds of sentences such as questions, suggestions, feedback, etc. about different products.


Learn More

Resume NER

To avoid the delays and enhance the efficiency in the HR field, we need to automate this process to focus on more important sections in less time. How can we automate the resume screening process? By using Natural Language Processing techniques, we can create a model/system to automate the process. If we want to build an accurate and effective model, we need a proper Resume Named Entity Recognition annotated dataset.


Learn More

Car Brand/Model Detection Dataset

Car brand and model detection is a computer vision based model/system that can provide incredible value while doing car monitoring/tracking and detection. Nowadays many industries use this kind of vehicle brand/ model detection such as transportation, security, marketing and law enforcement, etc. Car brand and model detection is an important part in many real-time applications for example automatic vehicle surveillance, traffic management, driver assistance systems, traffic behavior analysis, and traffic monitoring, etc.


Learn More

Datasets

Legal Clause Classification

We often see hundreds of contracts or tenders coming up for review. In law firms we usually come across many tenders and their described contents and the first thing we do is to identify from which clause it comes from. So to build a clause identification model we need to have data, which needs to be annotated according to the required clauses. 


Learn More

Intent Classification Dataset

The intent classification dataset is used for classifying the intention of a text/ sentence. In the intent classification dataset, every text/sentence of the dataset is associated with one or more corresponding intent labels. This intent Classification Dataset has different kinds of sentences such as questions, suggestions, feedback, etc. about different products.


Learn More

Resume NER

To avoid the delays and enhance the efficiency in the HR field, we need to automate this process to focus on more important sections in less time. How can we automate the resume screening process? By using Natural Language Processing techniques, we can create a model/system to automate the process. If we want to build an accurate and effective model, we need a proper Resume Named Entity Recognition annotated dataset.


Learn More

All

KYC Verification

Using AI the data collection process becomes easy and fast, which often requires
days to months in a manual process. Starting from data collection to data extraction, verification,
fraud detection everything can easily be done by using AI.


Learn More

Market Intelligence

Market Intelligence: With the help of AI, we can build a system where we can track the sentiments, what people are talking about, how they react to the products, etc. To build a market intelligence system we will have to incorporate multiple models that will give us different pieces of information.


Learn More

Vehicle Damage Detection

Vehicle Damage Detection: We can use an object recognition model to give better solutions to this problem. The object recognition model should be an instance segmentation model that permits us to distinguish pixel-wise areas for our classes or labels. 


Learn More

Risk Management

AI-Based models will help companies by analyzing already existing or past
customer information and then apply it to new customers in a faster way and with accurate results.
AI-Based risk management systems or models will allow insurance companies to attempt to prepare
for the unexpected by reducing risks and as well as extra costs before they happen.


Learn More

Inquiry Chatbot

Inquiry Chatbot: AI ChatBot provides a solution for this such that it can easily understand human speech and provide a direct solution to client or customer issues by using Natural Language Processing techniques. This experience is very comfortable for clients too. Also, it is realized that few parts of approaching inquiries to the client service focus are more apt for bots to deal with.


Learn More

Call Transcription

AI-based automatic call transcription models or systems are essential in
telecommunication industries to better understand customer emotions towards their services and
products. By using AI models, we can extract keywords or most effective words from the text after converting audio of voice or video calls. By this information, call centers agents are able to analyze what keywords are present in successful or unsuccessful call conversations.


Learn More

Predicting Customer Behaviour

Today, financial organizations are interested in adopting the idea of turning to artificial intelligence for help in the sales process. Depending on the business, it tends to be somewhere in the range of five to multiple times more costly to procure another client than holding a current one. By expanding client retention by just 5% can build benefits by 25 to 92 %. Companies hoping to improve handling of customer churn and retention ought to be hoping to use AI intensity.


Learn More

Driver Drowsiness Recognition

The ideal approach to identify the drowsiness of drivers is by utilizing their eye state. The driver’s symptoms can be observed to decide the driver’s drowsiness sufficiently early to take preventive activities to keep away from an accident. AI-Based models will consider various attributes of the driver’s eye like longer blink duration, slow eyelid movement, smaller eye openings, and frequent nodding.


Learn More

Banking Products Recommendations System

It is imperative for Banks to sell the right products to customers. Banking industries are starting to adopt recommender systems, or engine techniques to offer personalized recommendations to existing and prospective customers could have a tremendous impact on product sales, directly influencing turnover and income. And also, the gap between customer expectations and the bank’s personalized offering will be decreased.


Learn More

Patient Care Chatbot

AI chatbots can improve the supplier’s capacity to analyze reliably and precisely. All medical agencies are willing to offer their types of assistance to their patients. However, in all actuality, overpowering the remaining task at hand doesn’t generally let them offer the best support. In present days, healthcare organizations adopting AI solutions to their problems, they can utilize chatbot to ensure 24/7 availability of medical services, answer repetitive inquiries, or schedule appointments.


Learn More

Resume Screening

Nowadays, the number of candidates for each job post is high, but the recruiter team is less. The workload on the recruiting team will be increased day by day. The manual resume screening process is time-consuming and needs high resources in terms of recruiter’s efforts.

To avoid these consequences, AI-based models provide excellent solutions or results in the field of recruitment. Like that AI-Based solution also improves the resume screening, which is the most important task of recruiting.


Learn More

Digital Radiology or X-Ray Analysis

Over the past decade, medical image analysis has significantly benefited from deep learning (DL) applications or AI techniques to diverse imaging modalities and organs. Deep learning can be used for automation of diverse time-consuming duties executed through radiologists such as lesion detection, segmentation, classification, monitoring, and additionally prediction of treatment reaction that is generally now no longer manageable without software


Learn More

Due Diligence

Due diligence is a fundamental errand for some, lawful experts, giving customers indispensable data concerning their M&A achievement. And keeping in mind that due diligence is crucial for evaluating chances and organizing an agreement, it can likewise be extremely tedious. So present-day law offices are transforming these arrangements into AI-Based solutions for lessening time and cost-adequately.


Learn More

Automated Contract/Tender Analysis

Using AI the data collection process makes it really easy and fast, which often requires days to months in a manual process. Starting from data collection to data extraction, building models for risk level detection, clause identification and showing suitable playbook rules for high risk sentences, all these will be done within a few minutes.


Learn More

Finance

KYC Verification

Using AI the data collection process becomes easy and fast, which often requires
days to months in a manual process. Starting from data collection to data extraction, verification,
fraud detection everything can easily be done by using AI.


Learn More

Marketing

Market Intelligence

Market Intelligence: With the help of AI, we can build a system where we can track the sentiments, what people are talking about, how they react to the products, etc. To build a market intelligence system we will have to incorporate multiple models that will give us different pieces of information.


Learn More

Telecom

Inquiry Chatbot

Inquiry Chatbot: AI ChatBot provides a solution for this such that it can easily understand human speech and provide a direct solution to client or customer issues by using Natural Language Processing techniques. This experience is very comfortable for clients too. Also, it is realized that few parts of approaching inquiries to the client service focus are more appropriate for bots to deal with.


Learn More

Call Transcription

AI-based automatic call transcription models or systems are essential in
telecommunication industries to better understand customer emotions towards their services and
products.


Learn More

Insurance

Vehicle Damage Detection

Vehicle Damage Detection: We can use an object recognition model to give better solutions to this problem. The object recognition model should be an instance segmentation model that permits us to distinguish pixel-wise areas for our classes or labels. “instance segmentation” signifies sectioning individual items inside a scene, whether or not they are of the equivalent type — i.e, recognizing individual vehicles, people, and so forth.


Learn More

Risk Management

AI-Based models will help companies by analyzing already existing or past
customer information and then apply it to new customers in a faster way and with accurate results.
AI-Based risk management systems or models will allow insurance companies to attempt to prepare
for the unexpected by reducing risks and as well as extra costs before they happen.


Learn More

Legal

Due Diligence

Due diligence is a fundamental errand for some, lawful experts, giving customers indispensable data concerning their M&A achievement. And keeping in mind that due diligence is crucial for evaluating chances and organizing an agreement, it can likewise be extremely tedious. So present-day law offices are transforming these arrangements into AI-Based solutions for lessening time and cost-adequately.


Learn More

Automated Contract/Tender Analysis

Using AI the data collection process makes it really easy and fast, which often requires days to months in a manual process. Starting from data collection to data extraction, building models for risk level detection, clause identification and showing suitable playbook rules for high risk sentences, all these will be done within a few minutes.


Learn More

Healthcare

Patient Care Chatbot

AI chatbots can improve the supplier’s capacity to analyze reliably and precisely. All medical agencies are willing to offer their types of assistance to their patients. However, in all actuality, overpowering the remaining task at hand doesn’t generally let them offer the best support. In present days, healthcare organizations adopting AI solutions to their problems, they can utilize chatbot to ensure 24/7 availability of medical services, answer repetitive inquiries, or schedule appointments.


Learn More

Digital Radiology or X-Ray Analysis

Over the past decade, medical image analysis has significantly benefited from deep learning (DL) applications or AI techniques to diverse imaging modalities and organs. Deep learning can be used for automation of diverse time-consuming duties executed through radiologists such as lesion detection, segmentation, classification, monitoring, and additionally prediction of treatment reaction that is generally now no longer manageable without software


Learn More

HR

Resume Screening

Nowadays, the number of candidates for each job post is high, but the recruiter team is less. The workload on the recruiting team will be increased day by day. The manual resume screening process is time-consuming and needs high resources in terms of recruiter’s efforts.

To avoid these consequences, AI-based models provide excellent solutions or results in the field of recruitment. Like that AI-Based solution also improves the resume screening, which is the most important task of recruiting.


Learn More

Banking

Banking Products Recommendations System

It is imperative for Banks to sell the right products to customers. Banking industries are starting to adopt recommender systems, or engine techniques to offer personalized recommendations to existing and prospective customers could have a tremendous impact on product sales, directly influencing turnover and income. And also, the gap between customer expectations and the bank’s personalized offering will be decreased.


Learn More

Manufacturing

Driver Drowsiness Recognition

The ideal approach to identify the drowsiness of drivers is by utilizing their eye state. The driver’s symptoms can be observed to decide the driver’s drowsiness sufficiently early to take preventive activities to keep away from an accident. AI-Based models will consider various attributes of the driver’s eye like longer blink duration, slow eyelid movement, smaller eye openings, and frequent nodding.


Learn More

Retail | Ecommerce

Predicting Customer Behaviour

Today, financial organizations are interested in adopting the idea of turning to artificial intelligence for help in the sales process. Depending on the business, it tends to be somewhere in the range of five to multiple times more costly to procure another client than holding a current one. By expanding client retention by just 5% can build benefits by 25 to 92 %. Companies hoping to improve handling of customer churn and retention ought to be hoping to use AI intensity.


Learn More

Datasets

Legal Clause Classification

We often see hundreds of contracts or tenders coming up for review. In law firms we usually come across many tenders and their described contents and the first thing we do is to identify from which clause it comes from. So to build a clause identification model we need to have data, which needs to be annotated according to the required clauses. 


Learn More

Intent Classification Dataset

The intent classification dataset is used for classifying the intention of a text/ sentence. In the intent classification dataset, every text/sentence of the dataset is associated with one or more corresponding intent labels. This intent Classification Dataset has different kinds of sentences such as questions, suggestions, feedback, etc. about different products.


Learn More

Resume NER

To avoid the delays and enhance the efficiency in the HR field, we need to automate this process to focus on more important sections in less time. How can we automate the resume screening process? By using Natural Language Processing techniques, we can create a model/system to automate the process. If we want to build an accurate and effective model, we need a proper Resume Named Entity Recognition annotated dataset.


Learn More

Car Brand/Model Detection Dataset

Car brand and model detection is a computer vision based model/system that can provide incredible value while doing car monitoring/tracking and detection. Nowadays many industries use this kind of vehicle brand/ model detection such as transportation, security, marketing and law enforcement, etc. Car brand and model detection is an important part in many real-time applications for example automatic vehicle surveillance, traffic management, driver assistance systems, traffic behavior analysis, and traffic monitoring, etc.


Learn More

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