The responsible data intelligence AI

Continuous Active Learning

Use a machine learning structure to dynamically update and improve your understanding of data through ongoing user feedback.

Intelligent Search

Utilize algorithms to enhance search results by understanding context, intent, and user behavior, improving the accuracy and relevance of search outcomes.

Smart Search

Integrate advanced technologies like machine learning and natural language processing to deliver more personalized and context-aware search results, optimizing your search experience.

Machine Learning

Leverage algorithms and techniques that enable iCONECT to learn from your data and improve its performance over time without explicit programming.

Natural Language Processing

iCONECT understands and interprets human language, enabling tasks like language translation, sentiment analysis, and text summarization.

Entity Identification

Recognize and categorize specific entities or objects within data, such as names of people, organizations, or locations, crucial for various applications like extraction and notification.

Process in Place

Perform operations or transformations on data without moving it from its original location, reducing data movement and improving efficiency.

Natives

Data is directly ingested into iCONECT, reducing the risk of data loss or errors that can occur during format conversions.

Preprocessed Data

Work with data that has undergone initial processing, transformation, or organization to make it ready for further analysis or integration into data-driven applications.

Data Updates

Replace sensitive information within datasets with placeholders or masks to preserve data confidentiality and security while allowing for analysis and processing.

Structured Data

Work with organized and formatted information that fits into a predefined model or schema, making it easily searchable and analyzable.

Unstructured Data

Manage data that lacks a predefined format or organization, such as text documents, social media posts, and images, using advanced techniques like natural language processing for analysis.

Batching

Group data into sets or batches for efficient processing, enhancing computational performance and resource utilization.

Intelligent Document Processing

Use automation and AI technologies to extract, classify, and process information from various types of documents, improving efficiency in data handling and analysis.

Document Classification

Categorize documents into predefined classes or categories based on their content to organize and manage large volumes of data more effectively.

ROT Analysis

Redundant, Obsolete, and Trivial analysis allows you to identify and manage data that is no longer useful or relevant. This helps to optimize storage resources and improve data quality.

Tagging/Coding

Label data with descriptive tags or codes to categorize and organize it for easier retrieval and analysis. The result is better data understanding and usability.

ECA

Early Case Assessment allows you to evaluate data during legal proceedings to determine relevance, potential risks, and strategies for handling electronic evidence.

Review

Examine and evaluate data, documents, or information for analysis and decision-making. This is essential for extracting insights and ensuring data accuracy.

FOIA

iCONECT can be run in-house or via the cloud as a stand-alone system or as an integrated component of a Freedom of Information Act disclosure workflow.

Data Mining

Uncover hidden knowledge and make data-driven decisions with data mining. Extract patterns, trends, and insights from large datasets using statistical and machine learning techniques.

ROT

Identify and remove redundant, outdated, or irrelevant data. This helps optimize data storage and improve data quality and usability.