Financial Services

Financial data experts unlock the intelligence contained in unstructured visual, audio and text data sets to help the world’s leading companies in finance implement machine learning and RPA for increased efficiency.

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Data experts unlock the intelligence in unstructured visual, audio and text data sets in finance

Use cases

Document Automation

iMerit’s Natural Language Processing specialists extract critical data from documents including invoices, expense, credit, shipping, and tax to automate repetitive tasks like reporting and reconciliation processes.
Fund Research

iMerit’s financial services team extract, track, and verify relevant details of funds including asset classes, family details, and redemption periods by leveraging a combination of manual extraction and OCR technology.
Earnings Call Analysis

Earnings calls from conferences and other important meetings are transcribed and analyzed by iMerit’s data labelers using Natural Language Processing to identify opportunities and risks to the company.
Financial Forecasting

iMerit experts extract and categorize key financial information from unstructured data sources like investor letters and social chat forums for fast, easy, and valuable structured data inputs to proprietary models.
Compliance and Fraud Detection

iMerit experts verify data by analyzing transaction patterns and performing thorough analysis to meet compliance processes on time and with high accuracy for advisory and risk management.
Chatbots

iMerit’s dedicated finance data labeling team extracts financial text, data, and audio to power next-generation chatbots and digital assistants to provide financial advice virtually and enhance customer support.

"We are very happy with the output and project management and would recommend iMerit to other parts of the organization. "

Leading Financial News, Data and Media Company

Data and Media Company

Capabilities

iMerit experts extract and organize relevant material from vast unstructured text and visual data
DATA EXTRACTION

iMerit experts extract and organize relevant material from vast sets of unstructured text and visual data to enable the automation of manual processes and streamlining of operations.

Trained content teams inspect data from varied sources for accuracy and inconsistencies
DATA VERIFICATION

Trained content teams inspect data from varied sources for accuracy and inconsistencies, and help companies meet compliance requirements and further fraud detection measures.

iMerit’s teams label financial transactions for banks, processors credit bureaus and others
TRANSACTION CLASSIFICATION

iMerit’s expert data annotators label financial transactions for banks, processors, credit bureaus, and expense management tools to enable custom modeling and reporting.

Earnings call results are transcribed and key financial data from sources is extracted
TRANSCRIPTION

Earnings call results are transcribed and key financial data from sources including investor letters and online chat forums is extracted to build investment models.

Sentiment analysis solutions are provided by classifying financial data as positive, negative, or neutral
SENTIMENT ANALYSIS

Advanced sentiment analysis solutions are provided by classifying expressions as positive, negative, or neutral to help domain experts interpret nuances in financial data.

By the Numbers

120

Finance Domain Experts

10

M

Finance data points enriched

Featured
Content

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iMerit at Fintech Finance Virtual Arena

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Insurance Processes Made Easy Using Machine Learning

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Deep NLP Shifts from Modeling to Annotation

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Video

NLP - Financial Data Enrichment

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Working with global AI leaders

Reactive Reality
nuro
Kitware
raven
ebay
tripadvisor
Autodesk
microsoft
american-ancestors
Crowdreason
Bilcom
sentera
orbital-insight

Getting
Started!

The need for speed in high-quality data annotation has never been greater. iMerit combines the best of predictive and automated annotation technology with world-class data annotation and subject matter experts to deliver the data you need to get to production, fast.

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