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Annotation Solutions

Financial Services

High-Quality Training Data to Help Maximize Your Investment in Artificial Intelligence

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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 training data is paramount to train algorithms and validate machine learning models for crucial decision making.

Partner with Innodata to bring projects to market quickly, safely, and successfully.

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.

Accurate

World-class workflows and easy-to-use interfaces coupled with process control techniques developed over 30 years building the world’s highest quality data products.

Knowledgable

No crowdsourcing - only accredited and certified experts with advanced degrees in financial services.

Secure

We take data security and privacy seriously and we’re certified to handle the most sensitive and highly regulated data.

Efficient

With access to an on-demand team, we can process and annotate your data within your set time frame at a large scale.

Global

24/7 global operations supporting data in 25+ languages, including Chinese, Korean, Japanese, and languages in Cyrillic and Roman script.

Meet an Expert

“While data is often referred to as the “new oil”, expertly labelled and annotated data is actually the most precious commodity.”

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Darian Schwartz

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.

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.

Fraud Detection

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.

Write Your Own Success Story

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Financial Services Success Stories

We help some of the world’s leading financial institutions solve their toughest data challenges.

Automating News Aggregation

News Aggregator Expands Client Base With Automation

Automating News Aggregation

News Aggregator Expands Client Base With Automation

Goals

A leading news aggregator needed help in the aggregation of news articles from various websites and ongoing monitoring of the aggregated news feeds. The company creates and shares configurable summaries of news articles and other textual information to its clients and was looking for support to address the needs of its expanding client base.

Execution

  • Innodata deployed an automated web data aggregation solution to automatically acquire news articles from a predetermined list of news websites.
  • Innodata also provided ongoing monitoring and quality control of the aggregated news articles, ensuring the completeness and accuracy of the collected data.
  • Innodata further helped the company identify new sources of news articles in various domains.

    Results
  • Complete and highly accurate aggregated news articles were automatically fed into the company’s data platform.
  • This enabled real-time availability of news articles for creation of configurable summaries and on-time delivery of the summaries to the company’s clients.
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Training AI for Risk Assessment

Global Financial Services Firm Builds AI Capability for Risk Assessment

Training AI for Risk Assessment

Global Financial Services Firm Builds AI Capability for Risk Assessment

Goals

A global financial services company needed datasets to train its AI platform for risk assessment. The company’s platform enables the assessment of textual information for the presence of risks in events, individuals, and companies as well as the types and severity of the associated risks.

Solution

  • Innodata labelled thousands of articles to identify the risks associated with the events and named individuals and companies in the articles.
  • Innodata also annotated the articles with the specific risk categories and risk stages.
  • Innodata deployed subject matter experts and implemented an inter-annotator agreement process to ensure very high accuracy in the labeling and annotation of the articles.

    Results

  • Innodata created the datasets needed to train the AI platform to perform a highly accurate assessment of risks.
  • Using its proprietary text annotation platform, Innodata was able to seamlessly implement the required annotation process and ensure the quality of the training datasets.
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Acquiring Content for Real-Time Insights

Leading US-Based Bank Seeks to Acquire Content for Real-Time Insights

Acquiring Content for Real-Time Insights

Leading US-Based Bank Seeks to Acquire Content for Real-Time Insights 

Execution

  • Implemented an ML-driven web content acquisition and data aggregation platform.
  • An ML-driven microservice was deployed for reference annotations within 1 month of production processing.
  • The platform incorporated a user interface for linking and validating references.

Results

  • The solution improved the client’s time-to-market of content from 6 to 3 months.
  • The solution also resulted to a complete and accurate linking of the references.
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Annotating Financial News for Training NLP Service

Leading NLP Service Provider Requires Ground Truth Data for Training Platform

Annotating Financial News for Training NLP Service

Leading US-Based Bank Seeks to Acquire Content for Real-Time Insights 

Execution

  • Deployed a team of domain experts to create a gold set of annotated news articles covering various topics in the finance domain.
  • Implemented a double-pass blind or inter-annotator agreement (IAA) process where each article was annotated by two domain experts, with the differences in the two annotated files arbitrated by a third domain expert.
  • Utilized annotation platform supporting entity annotation, co-reference annotation and event annotation.

Results

  • The solution produced highly accurate datasets that enabled the client to successfully train its NLP platform.
  • This enabled the platform to uncover insights and relationships from unstructured data in news articles on finance.
Read More >>

Innodata (NASDAQ: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. That’s why we’re on a mission to help the world’s leading technology companies and enterprises drive Generative AI / AI innovation. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 35+ year legacy delivering the highest quality data and outstanding outcomes for our customers.

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