Uncover Intelligence Insights with AI
C3 AI Intelligence Analysis
Demonstrated Benefits
Connect
Connect to any number of data sources
Automate
Automate data ingestion, cleaning, and adjudication
Explore
Explore multiple data sources from a unified view
Accelerate
Accelerate case building and time-to-insight
Next Generation AI-based Intelligence
Disparate and unconnected intelligence data sources
Unified, federated data image ingests data from multiple feeds, including structured and unstructured sources
Intermittent data streams do not provide up-to-date operational picture
Near real-time data parsing extract entities and meaning from data – including people, places, activities and relationships
Important decisions based on sparse data or “gut feelings”
AI-generated insights unearth patterns in complex data to complement user decision-making
Primitive visualizations used to reflect multi-dimensional, complex information
Interactive graph visualization and exploration capabilities make it easy to track entities and relationships
Inefficient and disconnected case collaboration mechanisms
Data and scenario versioning enhances collaboration between users allowing hypothesis exploration and custom storyboard creation
Customer Viewpoints
Todd Probert
VP C2, Space and Intelligence
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Zico Kolter
Associate Professor, Computer Science Department
“I really like seeing a single platform that enables a very broad use of AI applications, and a way to let people write their own algorithms on top of this unified architecture.”
Rosalba Russo
Product Owner Agile
“C3 AI Fraud Detection gives the opportunity to provide a software for people to use in the field.”
C3 AI Intelligence Analysis
Key Capabilities
Unified, multi-int data fusion
Unified, multi-int data fusion
- Bring myriad structured and unstructured data sources into one central application
- Eliminate data and knowledge silos within the organization by creating central corpus of information
- Parse unstructured data feeds and combine with enterprise data to reveal trends
Interactive graph visualization
Interactive graph visualization
- Explore semantic, temporal, and geographical relationships between entities
- Reveal relational attributes between entities like strength and sentiment
- Manipulate spatial and temporal data with advanced tools like hierarchical, force-based, and geospatial graphs
User access controls
User access controls
- Gain near real-time visibility of risks as they unfold
- AI-enabled entity recognition extracts networks of people, places, events, and organizations within the data
- Natural Language Processing (NLP) techniques, including sentiment analysis, reveal hidden trends in text data
AI-generated insights and configurable alerts
AI-generated insights and configurable alerts
- Detect anomalous behavior by combining individual factors into a holistic assessment
- Receive recommendations to mitigate threat level and protect national interests
- Configure agency-specific alerts and recommendations
Investigation collaboration
Investigation collaboration
- Version control cases of interest
- Explore unique hypotheses without compromising source data integrity
- Create custom storyboards and share between internal and external stakeholders.
Continuous monitoring
Continuous monitoring
- Continuously monitor activities, entities, and relationships and maintain a rich version history
- Detect critical events and AI-inferred relationships in near real-time and provide timely action
Scope
C3 AI Intelligence Analysis can be deployed across government and commercial firms
Industries
Law Enforcement
Defense & Intelligence
Financial Services
Legal
Use Cases
Identity Adjudication
Investigation Analysis
Fraud Detection
Network Analysis
Anomaly Detection
Case Management
Benefits for Application Users
Intel Analyst (Government)
Analyze all data sources and intelligence reports in a single view. Vet AI-based recommendations that highlight patterns of interest and propose course of actions and mitigation tactics.
Intel Analyst (Commercial)
Aggregate compliance and legal documentation into one repository to break down knowledge and data silos within the organization.
Knowledge Manager
Expedite efficient configuration of new data sources to help intel analysts incorporate novel information into their analyses.
Data and Architecture
