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OWL Intelligence Platform

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About

OWL Intelligence Platform is a comprehensive data management and intelligence solution designed to consolidate siloed information from various sources into a single interface. It provides organizations with the tools to integrate internal databases, cloud services, and IoT devices through a flexible API architecture. By centralizing data, the platform aims to eliminate the manual effort typically required to correlate information across disconnected systems, thereby increasing operational efficiency and reducing the risk of missing critical connections during investigations. The platform operates through several specialized modules, including data query, visualization, and case management. Users can perform advanced searches without coding, utilizing filters to extract specific data points. The visualization module offers link analysis, timelines, and geospatial mapping to help investigators understand complex relationships. A key component is the Automated Deconfliction module, which uses real-time intelligence algorithms and fuzzy matching to identify commonalities across cases and subjects. Additionally, the OWLxtract and OWLdiscover tools utilize natural language processing (NLP) and machine learning to extract and transform raw document data into searchable intelligence. This tool is primarily tailored for sectors requiring high-level security and complex investigative capabilities, such as law enforcement, federal and local government, and financial services. It is particularly beneficial for Special Investigative Units (SIU), risk management teams, and corporate security departments that handle sensitive records and documents. The platform supports specific regulatory needs, including 28 CFR Part 23 compliance, making it a robust choice for public safety and disaster response agencies that must adhere to strict data retention and access control standards. What sets OWL apart is its extensive focus on compliance and security frameworks, boasting certifications and validations like CJIS 5.9, FIPS 140-3, and ISO 27001. Unlike generic data analytics tools, it offers a dedicated marketplace for third-party connectors and specialized modules like SaaS Smart City and Digital Asset Management. The integration of automated deconfliction and intelligent record linking ensures that collaboration between teams is both secure and efficient, preventing duplicated efforts and ensuring that all users are working with the most up-to-date information across the entire organization.

Pros & Cons

Offers extensive compliance support including CJIS 5.9, FIPS 140-3, and 28 CFR Part 23.

Automated deconfliction algorithms identify hidden connections across disparate datasets.

Centralized marketplace allows for easy integration of third-party tools via vendor API keys.

Supports specialized modules for diverse sectors from law enforcement to smart city management.

Includes built-in translation and natural language processing for unstructured data.

Pricing is not transparent and requires direct contact with sales for a custom quote.

The platform's vast feature set may require significant initial training for investigative teams.

Certain compliance certifications were still in the approval process at the time of publication.

Public access is restricted to demo requests rather than an immediate self-service signup.

Use Cases

Law enforcement investigators can use link analysis and automated deconfliction to uncover hidden relationships between subjects across separate cases.

Financial fraud analysts can integrate multiple internal and external databases to monitor suspicious activities and streamline case record handling.

Corporate security teams can centralize document management and set granular access controls to protect sensitive assets while maintaining audit trails.

Public safety agencies can use the geospatial mapping and real-time alerts to coordinate disaster response efforts across different departments.

Risk management professionals can automate document extraction to identify patterns in insurance claims and reduce manual data entry errors.

Platform
Web
Task
data unification

Features

digital asset management

geospatial mapping

granular access controls

fuzzy matching algorithms

case management lifecycle

nlp document extraction

link analysis visualization

automated deconfliction

FAQs

What data sources can be integrated into the OWL platform?

The platform uses a flexible API architecture to connect internal databases, cloud services, and IoT devices. This allows organizations to centralize disparate information into one interface for easier analysis.

How does the platform handle security and compliance?

OWL adheres to rigorous standards including CJIS 5.9, FIPS 140-3, and NIST 800-53. It is also ISO 27001 certified and offers deployment options in AWS GovCloud for sensitive government data.

What is the Automated Deconfliction feature?

This module identifies potential connections among users working on related cases or subjects. It uses real-time algorithms and fuzzy matching to identify commonalities across data sources and records.

Does OWL support automated document processing?

Yes, the OWLxtract and OWLdiscover modules use natural language processing and machine learning to extract data from documents. It can convert unstructured files into a searchable database format.

How can an organization begin using the platform?

Prospective users must request a personalized demo via the website to explore solutions for their specific sector. The company also offers trial and pilot programs for qualified organizations.

Pricing Plans

Enterprise
Unknown Price

Full data integration API

Automated deconfliction module

NLP document extraction

Case management workflows

Advanced link analysis

28 CFR Part 23 compliance

Marketplace connector access

Real-time alerts

Secure audit trails

GovCloud hosting options

Job Opportunities

There are currently no job postings for this AI tool.

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