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RFI for AI Enabled Data Analytics Solution

Overview


Data Analytics, AI & Cloud Hosting
Washington, District Of Columbia, United StatesPosted 24 days agoDeadline: May 1st, 2026

Fit Score


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SUMMARY


RFI for a scalable, AI-enabled data analytics solution supporting advanced processing and government data governance, with integration to Azure cloud.

KEY REQUIREMENTS


BUDGET

Estimate

$500,000 – $2,000,000

TIMELINE


Questions due by April 20th, 2026.

Government answers to select questions posted by April 24th, 2026.

Response submission deadline is May 1st, 2026.

QUESTION DEADLINE


April 20th, 2026

Issuing Agency


U.S. Department Of Justice, Antitrust Division

Organization overview and procurement intelligence available on paid plans.

DESCRIPTION


The agency is seeking information from vendors capable of providing a scalable, AI-enabled Data Analytics Solution (DAS) designed to support advanced data processing, analytics, and mission-driven decision making. Interested vendors should be able to demonstrate platforms suitable for large-scale ingestion, processing, and analysis of both structured and unstructured data. The solution must offer Artificial Intelligence and Machine Learning capabilities to enhance economic analysis, pattern detection, and litigation support.

Vendors are expected to outline their approach to security, compliance, and data governance in a government context and describe integration capabilities with the agency's Azure-based cloud infrastructure. Information is requested on the platforms' performance, scalability, operational efficiency, deployment models, cost structures, and licensing approaches. The agency will also assess the vendors' experience, maturity, and support models, especially for public sector implementations. Technologies of interest include Cloudera, Databricks, Snowflake, Apache Spark, and Azure Synapse Analytics.

The contract period will be for one year. All questions related to the RFI must be submitted by April 20, 2026.

Source attribution

This Settle analysis is based on the issuing organization’s public RFP listing.

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