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.
\n\nOverview
\n\nFactories, 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.
\n\nKey Benefits
\n\nCore Capabilities
\n\nAt 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.
\n\nCorrelateIQ 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.
\n\nUse Cases & Market Applications
\n\nLA-UR-26-29216
\n\n\n\nLANL Tech Partnerships: Unlock the Innovative Potential
\n\nLos 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.
\n\nLANL’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.
\n\nNote: This is not a call for external services for the development of this technology.
\n\nhttps://www.lanl.gov/engage/collaboration/feynman-center/partner-with-us/licensing-technology
\n\nm.lanl.gov/tech-search
","text":"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.\n\nOverview\n\nFactories, 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.\n\nKey Benefits\n\n• Spots early warning signs before small problems become costly failures\n\n• Uncovers the hidden factors that drive outcomes such as quality, risk or price\n\n• Reveals relationships across many data sources that conventional tools miss\n\n• Identifies which combinations of variables matter most\n\n• Gets more value from data organizations already collect\n\n• Works across industries and data types, from factory sensors to financial records\n\n• Condenses complex, high-volume data into clear, compact indicators\n\n• Complements existing monitoring, machine learning and digital twin systems\n\nCore Capabilities\n\nAt 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.\n\nCorrelateIQ 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.\n\nUse Cases & Market Applications\n\n• Semiconductor and advanced manufacturing (process monitoring, quality control)\n\n• Industrial operations and energy (predictive maintenance, equipment health)\n\n• Infrastructure (structural health monitoring, multisensor networks)\n\n• Industrial software and digital twins (system modeling, feature generation)\n\n• Finance and real estate (market shift detection, risk analysis)\n\n• Scientific research (physics data analysis, complex systems studies)\n\n• Healthcare, transportation and cybersecurity (anomaly detection, early warning)\n\n• Supply chains and climate monitoring (leading indicators, change detection)\n\nLA-UR-26-29216\n\nLANL Tech Partnerships: Unlock the Innovative Potential\n\nLos 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.\n\nLANL’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.\n\nNote: This is not a call for external services for the development of this technology.\n\nhttps://www.lanl.gov/engage/collaboration/feynman-center/partner-with-us/licensing-technology\n\nm.lanl.gov/tech-search","origin":"detail"},"notice_type":{"code":"s","label":"Special Notice"},"schema_version":1,"solicitation_number":"T5189","place_of_performance":{"zip":"87545","city":{"code":"42320","name":"Los Alamos"},"state":{"code":"NM","name":"New Mexico"},"country":{"code":"USA","name":"UNITED STATES"}},"product_service_code":"AJ12"}],"due_at":"2026-10-31T23:00:00Z","due_date":"2026-10-31","closes_at":"2026-10-31T23:00:00Z","awardable":false,"dept_key":"d-089","dept_name":"ENERGY, DEPARTMENT OF","sub_key":"s-8900","sub_name":"ENERGY, DEPARTMENT OF","office_key":"o-899015","office_name":"TRIAD - DOE CONTRACTOR","state":"NM","county":"35028","county_name":"Los Alamos County","city":"3542320","city_name":"Los Alamos","country":"USA","state_source":null,"state_evidence":null,"site_key":null,"winner_key":null,"amount":null,"linked_awards":0,"cancelled":false,"archived":false,"updated_at":"2026-10-17T03:49:26.118050Z","principal_notice_id":"b43661b912ce4ea2a5f2be890a593c79","description":{"text":"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.\n\nOverview\n\nFactories, 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.\n\nKey Benefits\n\n• Spots early warning signs before small problems become costly failures\n\n• Uncovers the hidden factors that drive outcomes such as quality, risk or price\n\n• Reveals relationships across many data sources that conventional tools miss\n\n• Identifies which combinations of variables matter most\n\n• Gets more value from data organizations already collect\n\n• Works across industries and data types, from factory sensors to financial records\n\n• Condenses complex, high-volume data into clear, compact indicators\n\n• Complements existing monitoring, machine learning and digital twin systems\n\nCore Capabilities\n\nAt 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.\n\nCorrelateIQ 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.\n\nUse Cases & Market Applications\n\n• Semiconductor and advanced manufacturing (process monitoring, quality control)\n\n• Industrial operations and energy (predictive maintenance, equipment health)\n\n• Infrastructure (structural health monitoring, multisensor networks)\n\n• Industrial software and digital twins (system modeling, feature generation)\n\n• Finance and real estate (market shift detection, risk analysis)\n\n• Scientific research (physics data analysis, complex systems studies)\n\n• Healthcare, transportation and cybersecurity (anomaly detection, early warning)\n\n• Supply chains and climate monitoring (leading indicators, change detection)\n\nLA-UR-26-29216\n\nLANL Tech Partnerships: Unlock the Innovative Potential\n\nLos 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.\n\nLANL’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.\n\nNote: This is not a call for external services for the development of this technology.\n\nhttps://www.lanl.gov/engage/collaboration/feynman-center/partner-with-us/licensing-technology\n\nm.lanl.gov/tech-search","html":"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.
\n\nOverview
\n\nFactories, 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.
\n\nKey Benefits
\n\nCore Capabilities
\n\nAt 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.
\n\nCorrelateIQ 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.
\n\nUse Cases & Market Applications
\n\nLA-UR-26-29216
\n\n\n\nLANL Tech Partnerships: Unlock the Innovative Potential
\n\nLos 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.
\n\nLANL’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.
\n\nNote: This is not a call for external services for the development of this technology.
\n\nhttps://www.lanl.gov/engage/collaboration/feynman-center/partner-with-us/licensing-technology
\n\nm.lanl.gov/tech-search
","origin":"detail"},"contacts":[{"name":"Satya Srinivasan","role":"primary","email":"licensing@lanl.gov"},{"name":"Lindsay Augustyn","role":"secondary","email":"licensing@lanl.gov"}],"place_of_performance":{"zip":"87545","city":{"code":"42320","name":"Los Alamos"},"state":{"code":"NM","name":"New Mexico"},"country":{"code":"USA","name":"UNITED STATES"}},"office_address":{"zip":"43201","city":"Columbus","state":"OH","country":"USA"},"naics_codes":["513210"],"award":null,"attachments":[],"awards":[],"related":[],"similar_open":[{"key":"N0040627Q0009","latest_notice_id":"c2b6a69c8dc84efc91d9c186c5c6bd98","title":"Sole Source OEM Hirsch Software Service Agreement","solicitation_number":"N0040627Q0009","notice_type":"o","first_type":"o","first_posted":"2026-10-28","last_posted":"2026-10-28","notices":1,"due_at":"2026-11-03T06:00:00Z","due_date":"2026-11-02","closes_at":"2026-11-03T06:00:00Z","awardable":true,"open":true,"removed":false,"dept_key":"d-017","dept_name":"DEPT OF DEFENSE","sub_key":"s-1700","sub_name":"DEPT OF THE NAVY","office_key":"o-N00406","office_name":"NAVSUP FLT LOG CTR PUGET SOUND","naics":"513210","psc":"DG10","set_aside":null,"state":null,"county":null,"county_name":null,"city":null,"city_name":null,"country":null,"place_scope":"unknown","state_source":null,"state_evidence":null,"site":null,"site_key":null,"winner":null,"winner_key":null,"amount":null,"linked_awards":0,"cancelled":false,"archived":false,"removed_at":null,"updated_at":"2026-10-29T04:15:54.363094Z"},{"key":"HE125427SIRFI","latest_notice_id":"c1c7f7ebb6df4b0fb469c0834fe727b6","title":"DoWEA- Super Intelligence (SI) Education Support Solution","solicitation_number":"HE125427SIRFI","notice_type":"r","first_type":"r","first_posted":"2026-10-29","last_posted":"2026-10-29","notices":2,"due_at":"2026-11-03T16:00:00Z","due_date":"2026-11-03","closes_at":"2026-11-03T16:00:00Z","awardable":true,"open":true,"removed":false,"dept_key":"d-097","dept_name":"DEPT OF DEFENSE","sub_key":"s-97F2","sub_name":"DEPT OF DEFENSE EDUCATION ACTIVITY (DODEA)","office_key":"o-HE1254","office_name":"DOD EDUCATION ACTIVITY","naics":"513210","psc":null,"set_aside":null,"state":"VA","county":"51510","county_name":"City of Alexandria","city":null,"city_name":null,"country":"USA","place_scope":"site","state_source":null,"state_evidence":null,"site":null,"site_key":null,"winner":null,"winner_key":null,"amount":null,"linked_awards":0,"cancelled":false,"archived":false,"removed_at":null,"updated_at":"2026-10-30T03:41:17.879115Z"},{"key":"N0017827Q6608","latest_notice_id":"54f6dc07547d418c8c509759714a206b","title":"GeoTel SWM","solicitation_number":"N0017827Q6608","notice_type":"k","first_type":"k","first_posted":"2026-10-29","last_posted":"2026-10-29","notices":1,"due_at":"2026-11-03T22:00:00Z","due_date":"2026-11-03","closes_at":"2026-11-03T22:00:00Z","awardable":true,"open":true,"removed":false,"dept_key":"d-017","dept_name":"DEPT OF DEFENSE","sub_key":"s-1700","sub_name":"DEPT OF THE NAVY","office_key":"o-N00178","office_name":"NSWC DAHLGREN","naics":"513210","psc":"DA10","set_aside":null,"state":"FL","county":null,"county_name":null,"city":null,"city_name":null,"country":null,"place_scope":"site","state_source":"description","state_evidence":"TS LIST. GEOTEL COMMUNICATIONS IS LOCATED IN LAKE MARY, FL","site":null,"site_key":null,"winner":null,"winner_key":null,"amount":null,"linked_awards":0,"cancelled":false,"archived":false,"removed_at":null,"updated_at":"2026-10-30T03:41:17.879115Z"}],"similar_open_total":26}