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FederalSpecial noticeClosed Federal notice

SOFTWARE LICENSING OPPORTUNITY: CorrelateIQ - Correlation-Based System Intelligence

Department of Energy› Triad - DOE Contractor Los Alamos, NM

Solicitation # T5189Updated Oct 16, 2026

This RFP closed on Oct 31, 2026.

The details below are kept for reference. Similar open RFPs are listed first.

Closed

Oct 31, 2026

Responses were due Oct 31, 2026, 5:00 PM MDT

Posted
Oct 16, 2026
Closed
Oct 31, 2026

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Summary by RFP Detector

What this RFP is about

Department of Energy (Triad - DOE Contractor) posted a special notice titled “SOFTWARE LICENSING OPPORTUNITY: CorrelateIQ - Correlation-Based System Intelligence” under solicitation number T5189. It was posted on Oct 16, 2026. The response deadline was Oct 31, 2026, 5:00 PM MDT. It is classified under NAICS 513210 (Software Publishers) and product/service code AJ12. No set-aside is listed. The place of performance is Los Alamos, New Mexico. The listed point of contact is Satya Srinivasan.

Key facts

Sector
Federal
Notice type
Special notice
As posted: Special Notice
PSC
AJ12
Place of performance
Los Alamos, NM
ZIP 87545
Value
Not stated
Solicitation #
T5189
Listing
Official federal notice

Score at publication

Score breakdown

Every RFP starts at 50. Each factor adds or subtracts points compared with a typical RFP; unknown data counts as neutral.

Frozen at publication: closed RFPs are not re-scored.

Starts at 50

  • Value0.0unknown

    No value published, and there isn't enough award history to estimate one. Scored as neutral.

  • Competition & access−0.6estimated

    Full and open competition.

  • Issuer & market+3.2estimated

    83 other RFPs from Department of Energy on RFP Detector in the past 12 months; no award history found.

  • Time & stage+1.4measured

    Special notice: 15 days to respond (due Oct 31, 2026, 5:00 PM MDT).

  • Clarity & completeness+4.3estimated

    Documents not listed, 2 named contacts with email, 647-word description.

  • Freshness+9.0measured

    Posted today.

50 + contributions = 67 (B, Strong)

Informational, not advice to bid or not bid. Score version 1.0.0, evaluated Oct 16, 2026.

Requirements & submission

Eligibility · Full and open competition

Full and open competition means the notice states no set-aside: any responsible business can respond, subject to the requirements in the notice.

Not stated in a form we could extract. See the official solicitation for requirements, evaluation criteria and submission steps.

From the official notice

Description

647 words

CorrelateIQ reveals hidden relationships among many data streams at once, catching hidden patterns, early warning signs and operating shifts that single-variable monitoring overlooks. Built on analysis techniques from high-energy physics, this software from Los Alamos National Laboratory turns existing sensor and process data into practical insight that helps organizations prevent failures, protect quality and reduce downtime. Because the method makes no assumptions about where the data comes from, it applies to a wide range of numeric data, from manufacturing sensors and equipment logs to financial records, market data and scientific measurements. Overview Factories, laboratories, infrastructure networks, financial and real-estate markets now produce huge volumes of linked data from sensors, equipment logs and transactions. Most analytics tools, however, judge each variable separately or depend on fixed thresholds that trigger an alert only after a single reading crosses a limit. These methods have trouble spotting effects that arise from subtle interactions among many variables, such as gradual equipment wear, a drifting manufacturing process or a market entering a new phase. As a result, organizations often miss the earliest warning signals, react to failures only after they happen and leave much of the value in their data untapped. Teams in every data-reach fields need a practical way of understanding how an entire system behaves as a whole, not merely how each part performs alone. Key Benefits Spots early warning signs before small problems become costly failures Uncovers the hidden factors that drive outcomes such as quality, risk or price Reveals relationships across many data sources that conventional tools miss Identifies which combinations of variables matter most Gets more value from data organizations already collect Works across industries and data types, from factory sensors to financial records Condenses complex, high-volume data into clear, compact indicators Complements existing monitoring, machine learning and digital twin systems Core Capabilities At its core, CorrelateIQ: Correlation-Based System Intelligence measures collective behavior. Users choose the variables or signals of interest, and the software calculates higher-order correlations that capture how those inputs change together rather than separately. The framework accepts mixed data types, including time-series records, sensor readings, transactional data and scientific measurements. It condenses them into compact representations of overall system behavior. Because the software reduces many interacting variables to a smaller set of meaningful indicators, complex environments become easier to read, compare and act upon. CorrelateIQ also goes beyond a single snapshot. It tracks how correlation patterns change over time, so users can see shifts in operating state, new anomalies and transitions from one regime to another. Its outputs can act as an analytics or feature-generation layer that feeds existing monitoring, control or machine learning systems. It can run in real-time monitoring pipelines or offline analytics platforms. Planned improvements include automated selection and ranking of the most useful correlations, adaptive correlation building and closer integration with predictive maintenance and digital twin workflows. Use Cases & Market Applications Semiconductor and advanced manufacturing (process monitoring, quality control) Industrial operations and energy (predictive maintenance, equipment health) Infrastructure (structural health monitoring, multisensor networks) Industrial software and digital twins (system modeling, feature generation) Finance and real estate (market shift detection, risk analysis) Scientific research (physics data analysis, complex systems studies) Healthcare, transportation and cybersecurity (anomaly detection, early warning) Supply chains and climate monitoring (leading indicators, change detection) LA-UR-26-29216 LANL Tech Partnerships: Unlock the Innovative Potential Los Alamos National Laboratory offers a wide range of cutting-edge technologies and capabilities that may provide your company with a competitive edge in the market and unlock the innovative potential that can enhance, refine, and revolutionize your products. LANL’s licensing program focuses on moving inventions developed by our researchers to commercial innovations. Patented and patent pending inventions and copyrighted software are available to existing and start-up companies through exclusive and non-exclusive licensing agreements. For specific discussions, please contact licensing@lanl.gov. Note: This is not a call for external services for the development of this technology. https://www.lanl.gov/engage/collaboration/feynman-center/partner-with-us/licensing-technology m.lanl.gov/tech-search

Documents

No documents are listed for this notice.

Contacts

2 contacts

Points of contact as published on the notice.

Timeline & history

  1. Special Notice posted

  2. Responses were due

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About this notice

Official federal notice. Updated Oct 16, 2026.

Official solicitation:Sign in free to open the official solicitation

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