Special NoticePosted Oct 16, 2026·Responses due Oct 31, 2026

SOFTWARE LICENSING OPPORTUNITY: CorrelateIQ - Correlation-Based System Intelligence

Energy · TRIAD - DOE CONTRACTOR

Stage
Early notice (sources sought, presolicitation or special notice)
NAICS
513210
Value
Not stated
Solicitation
T5189
Set-aside
None stated
PSC
AJ12
Place
Los Alamos, NM, USA
Contact
Not stated
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CSV Email

Capture briefs (a one-page, shareable copy of this page) are part of Pro. The CSV here holds the notice, its timeline and past awards.

Where this opportunity stands

Every notice posted under solicitation T5189 in this department, oldest first.

Early notice
  • Oct 16, 2026 · this notice
    Special Notice
Solicitation
None posted
Award
Not yet. Typical award: Nov 7, 2026 to Dec 23, 2026, middle of the range Nov 13, 2026.
Measured from 15 past early notices at Energy, Department of with NAICS 513210 that later posted an award (middle half of cases, counted from Oct 16, 2026).

Next steps for this stage

Standard steps for the notice type; not advice about this buyer.

  • Answer the notice: this is when the requirement can still be shaped.
  • Contact the contracting officer named on the notice.
  • Check who won similar work; they are the likely bidders.

What the notice says

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 fin… (show all)

ancial 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

Who won similar work

32 award notices on SAM.gov in the last 24 months. Matched by: Same agency (Energy), same NAICS 513210.

Single-winner award sizes (32): middle half $25K to $166K, median $44K; range $10K to $1.0M.

WinnerAwardsValueLast
BLOOMBERG FINANCE LP4$163KDec 23, 2025
DANIEL L. SUN, INC.3$163KSep 22, 2026
Sightline Analytics, Inc.2$1.2MAug 26, 2026
ASPEN TECHNOLOGY, INC. · $EMR · $15.2B2$828KSep 30, 2026
S&P Global Limited · $SPGI · $12.5B2$90KDec 11, 2025
ResFrac Corporation2$50KDec 29, 2025
S&P GLOBAL MARKET INTELLIGENCE LLC1$672KApr 29, 2025
HITACHI ENERGY USA INC.1$551KSep 23, 2025
202 GROUP LLC1$290KAug 20, 2026
ENVERUS, INC.1$212KSep 29, 2025

Value counts single-winner awards. "Shared" awards are multiple-award contracts that list every winner with the same total ceiling; that ceiling is not one company's win, so it is not added in. Revenue next to a ticker is the company's last annual revenue from its 10-K.

Investor context
  • $EMR reported $15.2B revenue in FY2025. The median single-winner award in these 32 past awards, $44K, is under 0.1% of that. 10-K
  • $SPGI reported $12.5B revenue in FY2025. The median single-winner award in these 32 past awards, $44K, is under 0.1% of that. 10-K

One award's total value against one year of revenue; many awards are paid over several years.

Latest awards

Competitive landscape

For the 8 most frequent past winners above. Lobbying is matched by the company's exact name or exact ticker; agencies are as named on the filings.

  • 2 of these past winners lobbied Energy, Dept of since 2024 (14 filings)
  • 0 of their lobbyists list a past Energy, Dept of job
  • $22K from their corporate PACs since 2024 to members of House Committee on Appropriations, House Committee on Energy and Commerce, House Committee on Science, Space, and Technology, Senate Committee on Appropriations, Senate Committee on Energy and Natural Resources
  • 0 foreign-agent (FARA) registrations
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Policy around it

Bills the past winners named while lobbying this agency's issues, rules from the department, and executive orders that name the agency, last 12 months.

  • 4 bills named on the past winners' lobbying filings
  • 75 rules from the department in the last 12 months
  • 0 executive orders naming the agency in the last 12 months
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Market

For past winners matched exactly to a listed company. Insider trades are open-market buys and sells (Form 4) in the last 90 days, shown as facts; our own study found insiders do not reliably buy ahead of awards. A sale marked 10b5-1 was made under a trading plan set up in advance.

  • 2 of the past winners are listed companies
  • 0 insider buys and 1 insider sells at them in the last 90 days
See who and the source records with Pro

Sources: SAM.gov notices and award notices; Senate LDA lobbying filings; FEC filings; FARA; Federal Register; congress.gov; SEC Form 4. Every row above links to its record.

Companies are matched to tickers by exact name only. A company we could not match shows no market rows; that is a miss, not a finding.