AI Training Data For Finance Industry

Revolutionizing Finance with AI-Enhanced Datasets

Precision data collection and annotation services for the evolving financial sector.

Solve your business problems with our industry solutions

From improving retail product discovery to detecting bank fraud, our industry solutions tackle your biggest challenges.

Fraud Detection
Customer Service & Chatbots
Algorithmic Trading
Digital Banking
Credit Scoring
ATM & Branch Services

Fraud Detection

In the field of Fraud Detection, image datasets of transaction records and patterns are invaluable resources for training AI models to identify and prevent fraudulent activities.
These datasets encompass a wide range of visual information related to financial transactions, including graphs, charts, and historical records.
Utilizing machine learning algorithms, these datasets enable the development of robust fraud detection systems that can quickly recognize unusual or suspicious patterns in financial data.
Such AI models play a crucial role in safeguarding businesses and individuals against fraudulent transactions, protecting financial assets, and maintaining trust in financial systems.

Customer Service & Chatbots

In the realm of Customer Service & Chatbots, audio and text datasets serve as foundational resources for training AI-driven customer support systems, ultimately enhancing the user experience.
These datasets encompass a wide array of customer interactions, including text-based chats, phone call transcriptions, and recorded customer service conversations.
By leveraging this data, machine learning models can be developed to understand user inquiries, provide relevant information, and offer solutions in a natural and responsive manner.
As a result, businesses can deliver more efficient and personalized customer support, reducing response times and improving overall satisfaction.
These AI-driven chatbots and support systems play a pivotal role in enhancing customer service across various industries.

Algorithmic Trading

In the field of Algorithmic Trading, time-series and historical trading data are critical datasets used to train AI models for predicting stock market movements.
These datasets contain a wealth of information, including stock prices, trading volumes, and market indicators, spanning over different time intervals.
Machine learning algorithms leverage this data to identify patterns, trends, and potential market signals, enabling automated trading decisions.
By analyzing vast amounts of historical trading data, AI models can make data-driven predictions, optimize trading strategies, and manage risk more effectively.
Algorithmic trading powered by these datasets has revolutionized financial markets, enabling faster and more precise trading decisions.

Digital Banking

In the realm of Digital Banking, image and video datasets are indispensable for training facial recognition systems, which enhance the security of account access and transactions.
These datasets include a wide variety of facial images and video clips, capturing different angles, lighting conditions, and expressions.
Machine learning models use this data to develop robust facial recognition algorithms that authenticate users with high accuracy.
Facial recognition technology in digital banking ensures secure and convenient access to accounts and validates transactions, reducing the risk of unauthorized access and fraud.
These advancements in security contribute to a seamless and trusted digital banking experience for customers.

Credit Scoring

In the domain of Credit Scoring, text datasets from various sources, such as loan applications, credit histories, and customer feedback, play a crucial role in enhancing credit scoring algorithms through AI.
These datasets contain a wealth of textual information related to individuals’ financial profiles, loan requests, and customer experiences.
Machine learning models leverage this data to extract insights, assess creditworthiness, and refine scoring models, improving their accuracy and predictive power.
By incorporating natural language processing techniques, AI algorithms can analyze unstructured text data to gain a more comprehensive understanding of borrowers’ financial situations.
These data-driven enhancements lead to more informed lending decisions, reduced risk, and improved financial services for both lenders and borrowers.

ATM & Branch Services

In the domain of ATM & Branch Services, video datasets are invaluable resources capturing ATM usage patterns, branch interactions, and customer behaviors, serving to optimize services and security.
These datasets encompass a wide range of visual information, including customer interactions with ATMs, branch visits, and security footage.
Machine learning models utilize this data to analyze customer behaviors, detect unusual activities, and enhance the overall security of banking facilities.
Additionally, these datasets provide insights into customer preferences and service utilization, aiding in the improvement of branch layouts and ATM placement for better customer experiences.
Through data-driven optimization, ATM & Branch Services continue to evolve to meet the changing needs of customers while maintaining high-security standards.

What We Offer

Data Collection Services

At GTS, we understand the imperative of high-quality, pertinent data for your business. Leveraging our expansive network in the ecommerce/retail sector, we promise the delivery of the exact datasets you need, tailored to specific market segments, demographics, and geographical regions. Your quest for timely and relevant data culminates with us.
Read more
Data Annotation Services

GTS takes pride in harnessing the industry’s most sophisticated data annotation tools. Our dedicated team of experts, specialized in the ecommerce/retail domains, ensures meticulous annotation across all dataset components. Whether it’s text, images, audio, or video, we prepare your data to be AI-ready, ensuring efficiency and precision for your machine learning endeavors.
Read more
Data Transcription Services

Accurate data transcription is essential for driving informed decisions. At GTS, we pride ourselves on delivering precise, timely, and efficient data transcription services. We transcribe with a keen eye for detail, ensuring that the information is not only accurate but also meaningful for your needs. Whether it’s complex datasets or nuanced content, our expertise ensures that your data is captured faithfully, enabling you to extract maximum value from it. Partner with GTS for uncompromising quality in data transcription. Your data’s integrity is our highest priority.
Read more

Why Choose Us for Financial

Industry Expertise

Deep understanding of the retail sector's unique challenges and needs.
Read more
Global Reach

Datasets that capture diverse shopping behaviors from around the world.
Read more
Ethical Data Collection

Ensuring every piece of data is collected ethically, with necessary consents.
Read more
Custom Solutions

Tailored datasets to match specific financial applications and needs.
Read more

Quality Data Creation
Guaranteed
TAT
ISO 9001:2015, ISO/IEC 27001:2013 Certified
HIPAA
Compliance
GDPR
Compliance
Compliance and Security

Explore Case Studies

Fraud Detection in Financial Transactions

Conclusion Our proactive approach in utilizing advanced technologies for fraud detection marks a significant stride in real-time fraud prevention. In an era where fraud tactics are ever-evolving, our comprehensive data collection and annotation capabilities not only bolster the defenses of financial institutions but also reinforce trust within the entire financial ecosystem.
Bank Cheque Dataset

Conclusion Our proficiency in data collection and annotation has culminated in the creation of the Bank Cheque Dataset, poised to transform various aspects of banking automation, particularly in the realms of cheque clearance and fraud detection..With an extensive range of cheque samples and detailed annotations, it stands as an indispensable tool for fintech advancements.
Chinese Bill Datasets

Conclusion The Chinese Bill Dataset provides a robust foundation for models and apps targeting financial document recognition and data extraction in China. With its extensive coverage of various bill types and meticulous annotations, this dataset serves as a catalyst for technological innovations in personal finance, business expense management, and regulatory compliance.