text intelligence

Data extraction from documents and conversations for deep analysis and insights

Our text intelligence solution uses Natural Language Processing (NLP) technologies to extract 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

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

text intelligence

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, our NLP engine drives OnQue™, SAE's next-generation 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

FINANCial AI

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

50M+

records
processed/year

1M+

anomalies
detected/year

$10M+

dollars saved/year

40GB+

data processed/year

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

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

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: