High-Quality Training Data to Help Maximize Your Investment in Artificial Intelligence
Securely & Efficiently Label Your Most Complex & Sensitive Data
FinServ/FinTech companies use AI to solve their business goals, improve operations, increase efficiencies and lower costs- access to high quality, non-biased training data sets. Quickly train algorithms and validate machine learning models for crucial decision making and bringing projects to market quickly, safely, and successfully.
That’s why leading companies partner with Innodata.
We help you save time and money by combining deep subject matter expertise with AI to deliver high-quality, low-biased annotated datasets to train your machine learning models.
Meet an Expert
“While data is often referred to as the “new oil”, expertly labelled and annotated data is actually the most precious commodity.”
Darian Schwartz- VP, Financial Data Solutions
Darian has extensive industry knowledge and experience in helping top financial leaders execute large scale, global NLP projects. Using an individual approach, Darian helps clients develop and implement custom data engineering strategies that are specifically tailored to their needs.
Innodata Creates Training Data for Leading Financial Services Companies
5 Fintech Workflows Fueled By Data Annotation
Innodata provides data annotation and labeling services to meet a variety of needs within the financial services industry:
Compliance Monitoring & Risk Management
Extract metadata from both legal and regulatory documents and global web sources to automate compliance monitoring. Our experts create high quality, labeled regulatory datasets.
Data Labeling for entity recognition to identify relevant information which can help financial institutions assess the risk associated in dealing with any particular entity i.e. person or company.
Conversational AI Chatbots
Utilize Innodata’s industry experts to build intent and utterance (Question & Answer) models for an automated customer service experience
Chatbot Q&A Extraction Services help to extract historical questions and answers from a corpus of historical documents pertaining to the subject. Know the context and order of question & answer results in the order they were asked.
Investment Management& Trading
Annotate earnings call transcripts, financial reports and Prospectus for mentions of ESG for impact investing.
Leverage highly accurate annotation, deep learning algorithms to analyze the likes of large corpora of data and Global News to enhance trading strategies.
Back Office Automation
Take any of your back office documents including trade agreements, ISDA’s, KYC/AML etc., utilizing our SME’s and data annotation platform we can convert them seamlessly using AI and OCR technology at scale to extract data points and then annotate it on a fixed taxonomy to make them searchable.
Streamline false positives and detect malicious patterns through systems built with annotated datasets.
Identify links between named entities in a document, such as individuals, organizations, facilities, locations, etc.
Financial Services Success Stories
We help some of the world’s leading financial institutions solve their toughest data challenges.