text intelligence

Data extraction from documents and conversations for deep analysis and insights
Our text intelligence solution extracts information from audio sources, financial documents (tax returns, SEC filings, corporate and client documentation), unstructured web and dark web documents and then generates deep insights for business applications.
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“By using AI to assist our financial institution

in sifting through thousands of loan applications, we were able to save valuable time and focus on qualified loans. The team at Cognistx distilled the goals of the $25 million fund, offered insights that we had not considered and then created value added business rules that were critical to the speed and success of the program.

Michael Sellinger | Miami Bayside Foundation

What is Text Intelligence?

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Benefits of AI-Automated Operations

Data Insights

Uncover key data patterns that increase cross-selling by up to 30% and improve customer experience.

Time/Cost Savings

Achieve back-office cost reductions by up to 40% through automating data extraction.

Security

Analysis and classification of confidential documents and constant monitoring for data breaches

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case study
cyber security
Cognistx's solution allows Kroll to proactively detect the occurrence and mitigate the severity of data breaches for it's clients. Using machine learning to scan and extract meaningful information from Deep Dark Web (DDW) data, the tool prevents data losses from escalating into major events.
Analytical Objectives:
  • DDW Classification and Junk Filtering
  • Breach Detection and Loss Mitigation
  • Manual Task Reduction
By integrating Kroll’s investigative expertise with cutting-edge AI and machine learning from Cognistx, Kroll is able to help organizations better understand and address their data’s exposure on the DDW. As the tool continues to refine the model and methodologies, we will be able to help organizations proactively detect data loss and prevent those data losses from escalating into major events that can harm their operations, finances and reputations for years to come. Read more about the Kroll/Cognistx solution.
$1M+
records analyzed/day
22M+
files analyzed
2M+
credit cards tracked
60%
analysts time saved/day
case study
FINANCial services
To identify risks associated with banks and mortgage companies, Fannie Mae needs to analyze their 10K filings, which usually takes several days for a single filing. Our tool allows them to identify, categorize and analyze these 10K filings in minutes by utilizing Artificial Intelligence, ensuring accuracy, reliability and robustness.
Analytical Objectives:
  • Risk Identification
  • Human Error Reduction
  • Workforce Efficiency
To identify risks associated with banks and mortgage companies, Fannie Mae needs to analyze their 10K filings, which usually takes several days for a single filing. Our tool allows them to identify, categorize and analyze these 10K filings in minutes by utilizing Artificial Intelligence, ensuring accuracy, reliability and robustness.
50M+
records
processed/year
1M+
anomalies
detected/year
$10M+
dollars saved/year
40GB+
data processed/year
case study
manufacturing
Partnering with SAE, we have digitized all automotive and aerospace standards to help engineers locate them quickly. Using NLP techniques we extract relevant information to allow users to find specification documents instantly. Working with large aerospace companies like Boeing, Pratt & Whitney and NASA, we have developed the next generation AI-enabled search system.
Analytical Objectives:
  • Digitization of Industry Standards
  • Data Extraction from Unstructured Sources
  • AI-Driven Search and Retrieval
Partnering with SAE, we have digitized all automotive and aerospace standards to help engineers locate them quickly. Using NLP techniques we extract relevant information to allow users to find specification documents instantly. Working with large aerospace companies like Boeing, Pratt & Whitney and NASA, we have developed the next generation AI-enabled search system.
98.6%
accuracy
3500+
documents ingested
2M+
system users
80%
user time saved/session
case study
call center
Immersion into their IVR system, Cognistx designed a system that captures callers’ zip codes and street addresses, compares that data with serviceability maps, automatically adds city and state information, and delivers a confidence score. This process is performed in a matter of microseconds without service interruption.
Analytical Objectives:
  • Zip Code Identification
  • Human Error Reduction
  • Workforce Efficiency
Immersion into their IVR system, Cognistx designed a system that captures callers’ zip codes and street addresses, compares that data with serviceability maps, automatically adds city and state information, and delivers a confidence score. This process is performed in a matter of microseconds without service interruption.
78%+
address confidence
$12M+
dollars saved/year
50K+
recordings analyzed
case study
call center
Our AI-powered call center tool translates speech-to-text to create transcripts of agent-customer interactions. These transcripts are used by our solution to review, rate and rank calls according to more than 40 criterias spread across 9 customized categories. This allows Transcore to improve grading, quality monitoring and agent/team performance.
Analytical Objectives:
  • Junk Filtering
  • Cost Reduction
  • Manual Task Reduction
Our system allows companies to understand customer sentiment, identify product issues and get ahead of problems. We also save significant agent time by summarizing calls automatically.
94%
accuracy rate
$40K+
annual savings/ supervisor
60%
supervisor time saved/ day
case study
RETAIL
Our SmartBart beverage recommender chat bot demonstrates the capabilities of AI/NLP and video recognition to improve customer service in retail settings. The system identifies users based on facial recognition, and applies rules to include time of day, weather and personal preferences captured to successfully recommend beverages to customers.
Analytical Objectives:
  • User Identification
  • Beverage Prediction
  • Retail Efficiency
Our SmartBart beverage recommender chat bot demonstrates the capabilities of AI/NLP and video recognition to improve customer service in retail settings. The system identifies users based on facial recognition, and applies rules to include time of day, weather and personal preferences captured to successfully recommend beverages to customers.
98%
customer recognition accuracy
85%
product recommendation accuracy
96%
product size recommendation accuracy

Features and Benefits

Scalable and Customizable
High Volume and Velocity
Natural Language Processing
Tailored Data Architecture
Granular Data Analysis
Deep-Learning Algorithm
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