Metis Technology Solutions, Inc.
CAGE Code: 63GA5
NCAGE Code: 63GA5
Status: Active
Type: Commercial Supplier
Dun & Bradstreet (DUNS): 963612291
Summary
Metis Technology Solutions, Inc. is an Active Commercial Supplier with the Cage Code 63GA5 and is tracked by Dun & Bradstreet under DUNS Number 963612291..
Address
2309 Renard Pl Se
Ste 200
Albuquerque NM 87106-4284
United States
Points of Contact
No Points of Contact...
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Frequently Asked Questions (FAQ) for CAGE 63GA5
- What is CAGE Code 63GA5?
- 63GA5 is the unique identifier used by NATO Organizations to reference the physical entity known as Metis Technology Solutions, Inc. located at 2309 Renard Pl Se, Ste 200, Albuquerque NM 87106-4284, United States.
- Who is CAGE Code 63GA5?
- 63GA5 refers to Metis Technology Solutions, Inc. located at 2309 Renard Pl Se, Ste 200, Albuquerque NM 87106-4284, United States.
- Where is CAGE Code 63GA5 Located?
- CAGE Code 63GA5 is located in Albuquerque, NM, USA.
Contracting History for CAGE 63GA5 Most Recent 25 Records
- 80NSSC22CA086
- Eo14042 Sbir Phase Ii Collaborative Sensing And Mapping For Iva Robots
- 5 May 2022
- Eo14042 Sbir Phase Ii Collaborative Sensing And Mapping For Iva Robots
- Nasa Shared Services Center
- National Aeronautics And Space Administration (Nasa)
- $740,922.00
- National Aeronautics And Space Administration (Nasa)
- 80NSSC22CA086
- Eo14042 Sbir Phase Ii Collaborative Sensing And Mapping For Iva Robots
- 9 Aug 2022
- Eo14042 Sbir Phase Ii Collaborative Sensing And Mapping For Iva Robots
- Nasa Shared Services Center
- National Aeronautics And Space Administration (Nasa)
- $740,922.00
- National Aeronautics And Space Administration (Nasa)
- 47QRAA21D009J
- Federal Supply Schedule Contract
- 2 Mar 2023
- Federal Supply Schedule Contract
- Gsa/Fas/Pshc/Prof Srvcs Sched-Pss
- General Services Administration (Gsa)
- $0.00
- General Services Administration (Gsa)
- 47QRAA21D009J
- Federal Supply Schedule Contract
- 22 Dec 2021
- Federal Supply Schedule Contract
- Gsa/Fas/Pshc/Prof Srvcs Sched-Pss
- General Services Administration (Gsa)
- $0.00
- General Services Administration (Gsa)
- 47QRAA21D009J
- Eo14042 This Contract Is Hereby Modified To Incorporate Federal Acquisition Regulation (Far) Clause 52.223-99 Ensuring Adequate Covid-19 Safety Protocols For Federal Contractors - Federal Supply Schedule Contract
- 27 Oct 2021
- Eo14042 This Contract Is Hereby Modified To Incorporate Federal Acquisition Regulation (Far) Clause 52.223-99 Ensuring Adequate Covid-19 Safety Protocols For Federal Contractors - Federal Supply Schedule Contract
- Gsa/Fas/Pshc/Prof Srvcs Sched-Pss
- General Services Administration (Gsa)
- $0.00
- General Services Administration (Gsa)
- 47QRAA21D009J
- Federal Supply Schedule Contract
- 24 Oct 2023
- Federal Supply Schedule Contract
- Gsa/Fas/Pshc/Prof Srvcs Sched-Pss
- General Services Administration (Gsa)
- $0.00
- General Services Administration (Gsa)
- 47QRAA21D009J
- Federal Supply Schedule Contract
- 11 Jul 2023
- Federal Supply Schedule Contract
- Gsa/Fas/Pshc/Prof Srvcs Sched-Pss
- General Services Administration (Gsa)
- $0.00
- General Services Administration (Gsa)
- 47QRAA21D009J
- Federal Supply Schedule Contract
- 8 Feb 2022
- Federal Supply Schedule Contract
- Gsa/Fas/Pshc/Prof Srvcs Sched-Pss
- General Services Administration (Gsa)
- $0.00
- General Services Administration (Gsa)
- 47QRAA21D009J
- Federal Supply Schedule Contract
- 27 Oct 2021
- Federal Supply Schedule Contract
- Gsa/Fas/Pshc/Prof Srvcs Sched-Pss
- General Services Administration (Gsa)
- $0.00
- General Services Administration (Gsa)
- 47QRAA21D009J
- Federal Supply Schedule Contract
- 27 Aug 2021
- Federal Supply Schedule Contract
- Gsa/Fas/Pshc/Prof Srvcs Sched-Pss
- General Services Administration (Gsa)
- $0.00
- General Services Administration (Gsa)
- 47QRAA21D009J
- Federal Supply Schedule Contract
- 7 Nov 2022
- Federal Supply Schedule Contract
- Gsa/Fas/Pshc/Prof Srvcs Sched-Pss
- General Services Administration (Gsa)
- $0.00
- General Services Administration (Gsa)
- 47QRAA21D009J
- Federal Supply Schedule Contract
- 15 Dec 2023
- Federal Supply Schedule Contract
- Gsa/Fas/Pshc/Prof Srvcs Sched-Pss
- General Services Administration (Gsa)
- $0.00
- General Services Administration (Gsa)
- 47QRAA21D009J
- Federal Supply Schedule Contract
- 14 Feb 2023
- Federal Supply Schedule Contract
- Gsa/Fas/Pshc/Prof Srvcs Sched-Pss
- General Services Administration (Gsa)
- $0.00
- General Services Administration (Gsa)
- 47QRAA21D009J
- Federal Supply Schedule Contract
- 27 Aug 2021
- Federal Supply Schedule Contract
- Gsa/Fas/Pshc/Prof Srvcs Sched-Pss
- General Services Administration (Gsa)
- $0.00
- General Services Administration (Gsa)
- 47QRAA21D009J
- Federal Supply Schedule Contract
- 26 May 2023
- Federal Supply Schedule Contract
- Gsa/Fas/Pshc/Prof Srvcs Sched-Pss
- General Services Administration (Gsa)
- $0.00
- General Services Administration (Gsa)
- N0017812D6964
- Seaport Enhanced
- 16 Apr 2019
- Seaport Enhanced
- Nswc Dahlgren
- Department Of Defense (Dod)
- $0.00
- Department Of Defense (Dod)
- NNX17CL03C
- Our Phase I Work Focused On How Improved Information Flow Between Actors In A Flight Deck Environment Can Improve Safety Performance. An Operational Prototype Was Developed Demonstrating How The Intelligent Information Processing System (Iips) Will Operate In Actual Accidents/Incidents. For Phase Ii, We Propose The Following Operating Environment Extensions From The Flight Deck Environment: Nextgen Scenarios Emphasizing Interactions With Air Traffic Controllers Operating In Fast Paced, Increased Volume Of Manned And Autonomous Traffic; Uav Operations Emphasizing Introduction Of Uavs Into The Nas, Transition To Autonomy And Fully Autonomous Operations; And Iips In Flight Training Environments Both Simulated And Airborne. We Also Propose An Extension To The Manner In Which Conditions Were Developed In Phase I. Conditions Were Developed Using Post Analysis Of Accidents And Incidents. The Error Chain Of Events Was Identified, Information Necessary To Prevent The Event Was Identified, And Finally, A Condition Developed That Detected The Circumstances For A Possible Safety Failure So That A Notification Could Be Transmitted To The Actor Who Would Then Take The Appropriate Action To Break The Error Chain. This Paradigm Of Condition Development Can Be Characterized As Reactive. With The Nas Moving Into A State Of Flux With The Integration Of Uavs And General Increased Traffic Volume, Reactive Safety May Not Be Acceptable. In Order To Continue The Steadily Improving Safety Record Of Aviation, A More Proactive Approach Must Be Considered. We Propose The Use Of A Classical Rule-Based Expert System And Other Artificial Intelligence Approaches That Can Make Inferences Of Possible Unsafe Conditions Using A Temporal Knowledge Base Populated By Propositional Statements Generated By Iips Information Sources.
- 28 Aug 2019
- Our Phase I Work Focused On How Improved Information Flow Between Actors In A Flight Deck Environment Can Improve Safety Performance. An Operational Prototype Was Developed Demonstrating How The Intelligent Information Processing System (Iips) Will Operate In Actual Accidents/Incidents. For Phase Ii, We Propose The Following Operating Environment Extensions From The Flight Deck Environment: Nextgen Scenarios Emphasizing Interactions With Air Traffic Controllers Operating In Fast Paced, Increased Volume Of Manned And Autonomous Traffic; Uav Operations Emphasizing Introduction Of Uavs Into The Nas, Transition To Autonomy And Fully Autonomous Operations; And Iips In Flight Training Environments Both Simulated And Airborne. We Also Propose An Extension To The Manner In Which Conditions Were Developed In Phase I. Conditions Were Developed Using Post Analysis Of Accidents And Incidents. The Error Chain Of Events Was Identified, Information Necessary To Prevent The Event Was Identified, And Finally, A Condition Developed That Detected The Circumstances For A Possible Safety Failure So That A Notification Could Be Transmitted To The Actor Who Would Then Take The Appropriate Action To Break The Error Chain. This Paradigm Of Condition Development Can Be Characterized As Reactive. With The Nas Moving Into A State Of Flux With The Integration Of Uavs And General Increased Traffic Volume, Reactive Safety May Not Be Acceptable. In Order To Continue The Steadily Improving Safety Record Of Aviation, A More Proactive Approach Must Be Considered. We Propose The Use Of A Classical Rule-Based Expert System And Other Artificial Intelligence Approaches That Can Make Inferences Of Possible Unsafe Conditions Using A Temporal Knowledge Base Populated By Propositional Statements Generated By Iips Information Sources.
- Nasa Shared Services Center
- National Aeronautics And Space Administration (Nasa)
- $747,510.00
- National Aeronautics And Space Administration (Nasa)
- 0001
- Seaport Enhanced
- 27 Feb 2020
- Seaport Enhanced
- Dcma Albuquerque
- Department Of Defense (Dod)
- $0.00
- Department Of Defense (Dod)
- NNX17CL03C
- Our Phase I Work Focused On How Improved Information Flow Between Actors In A Flight Deck Environment Can Improve Safety Performance. An Operational Prototype Was Developed Demonstrating How The Intelligent Information Processing System (Iips) Will Operate In Actual Accidents/Incidents. For Phase Ii, We Propose The Following Operating Environment Extensions From The Flight Deck Environment: Nextgen Scenarios Emphasizing Interactions With Air Traffic Controllers Operating In Fast Paced, Increased Volume Of Manned And Autonomous Traffic; Uav Operations Emphasizing Introduction Of Uavs Into The Nas, Transition To Autonomy And Fully Autonomous Operations; And Iips In Flight Training Environments Both Simulated And Airborne. We Also Propose An Extension To The Manner In Which Conditions Were Developed In Phase I. Conditions Were Developed Using Post Analysis Of Accidents And Incidents. The Error Chain Of Events Was Identified, Information Necessary To Prevent The Event Was Identified, And Finally, A Condition Developed That Detected The Circumstances For A Possible Safety Failure So That A Notification Could Be Transmitted To The Actor Who Would Then Take The Appropriate Action To Break The Error Chain. This Paradigm Of Condition Development Can Be Characterized As Reactive. With The Nas Moving Into A State Of Flux With The Integration Of Uavs And General Increased Traffic Volume, Reactive Safety May Not Be Acceptable. In Order To Continue The Steadily Improving Safety Record Of Aviation, A More Proactive Approach Must Be Considered. We Propose The Use Of A Classical Rule-Based Expert System And Other Artificial Intelligence Approaches That Can Make Inferences Of Possible Unsafe Conditions Using A Temporal Knowledge Base Populated By Propositional Statements Generated By Iips Information Sources.
- 3 Jul 2019
- Our Phase I Work Focused On How Improved Information Flow Between Actors In A Flight Deck Environment Can Improve Safety Performance. An Operational Prototype Was Developed Demonstrating How The Intelligent Information Processing System (Iips) Will Operate In Actual Accidents/Incidents. For Phase Ii, We Propose The Following Operating Environment Extensions From The Flight Deck Environment: Nextgen Scenarios Emphasizing Interactions With Air Traffic Controllers Operating In Fast Paced, Increased Volume Of Manned And Autonomous Traffic; Uav Operations Emphasizing Introduction Of Uavs Into The Nas, Transition To Autonomy And Fully Autonomous Operations; And Iips In Flight Training Environments Both Simulated And Airborne. We Also Propose An Extension To The Manner In Which Conditions Were Developed In Phase I. Conditions Were Developed Using Post Analysis Of Accidents And Incidents. The Error Chain Of Events Was Identified, Information Necessary To Prevent The Event Was Identified, And Finally, A Condition Developed That Detected The Circumstances For A Possible Safety Failure So That A Notification Could Be Transmitted To The Actor Who Would Then Take The Appropriate Action To Break The Error Chain. This Paradigm Of Condition Development Can Be Characterized As Reactive. With The Nas Moving Into A State Of Flux With The Integration Of Uavs And General Increased Traffic Volume, Reactive Safety May Not Be Acceptable. In Order To Continue The Steadily Improving Safety Record Of Aviation, A More Proactive Approach Must Be Considered. We Propose The Use Of A Classical Rule-Based Expert System And Other Artificial Intelligence Approaches That Can Make Inferences Of Possible Unsafe Conditions Using A Temporal Knowledge Base Populated By Propositional Statements Generated By Iips Information Sources.
- Nasa Shared Services Center
- National Aeronautics And Space Administration (Nasa)
- $747,510.00
- National Aeronautics And Space Administration (Nasa)
- N0017812D6964
- Igf::Ot::Igf Seaport Enhanced
- 8 Aug 2017
- Igf::Ot::Igf Seaport Enhanced
- Nswc Dahlgren
- Department Of Defense (Dod)
- $0.00
- Department Of Defense (Dod)
- N0017812D6964
- Seaport Enhanced
- 29 May 2018
- Seaport Enhanced
- Nswc Dahlgren
- Department Of Defense (Dod)
- $0.00
- Department Of Defense (Dod)
- 80NSSC21C0288
- To Build Online Maps Of The Iss Using "Co-Slam". The Maps Would Be Built And Shared Between Multiple Robots, Using A Central Server. The Proposal Is To Evaluate Co-Slam Algorithms In The Astrobee Simulator And Develop Con-Ops For Operation On The Iss
- 18 May 2021
- To Build Online Maps Of The Iss Using "Co-Slam". The Maps Would Be Built And Shared Between Multiple Robots, Using A Central Server. The Proposal Is To Evaluate Co-Slam Algorithms In The Astrobee Simulator And Develop Con-Ops For Operation On The Iss
- Nasa Shared Services Center
- National Aeronautics And Space Administration (Nasa)
- $123,634.00
- National Aeronautics And Space Administration (Nasa)
- 80NSSC19C0609
- Intelligent Information Processing For Enhanced Safety In The Nas
- 5 Sep 2019
- Intelligent Information Processing For Enhanced Safety In The Nas
- Nasa Shared Services Center
- National Aeronautics And Space Administration (Nasa)
- $74,996.00
- National Aeronautics And Space Administration (Nasa)
- DTFAWA17A00033
- Other Functions Mod P00002 Exercise Option Period
- 26 Aug 2019
- Other Functions Mod P00002 Exercise Option Period
- Faa, Contracting For Services
- Department Of Transportation (Dot)
- $0.00
- Department Of Transportation (Dot)
- NNX17CL03C
- Igf::Ot::Igf Our Phase I Work Focused On How Improved Information Flow Between Actors In A Flight Deck Environment Can Improve Safety Performance. An Operational Prototype Was Developed Demonstrating How The Intelligent Information Processing System (Iips) Will Operate In Actual Accidents/Incidents. For Phase Ii, We Propose The Following Operating Environment Extensions From The Flight Deck Environment: Nextgen Scenarios Emphasizing Interactions With Air Traffic Controllers Operating In Fast Paced, Increased Volume Of Manned And Autonomous Traffic; Uav Operations Emphasizing Introduction Of Uavs Into The Nas, Transition To Autonomy And Fully Autonomous Operations; And Iips In Flight Training Environments Both Simulated And Airborne. We Also Propose An Extension To The Manner In Which Conditions Were Developed In Phase I. Conditions Were Developed Using Post Analysis Of Accidents And Incidents. The Error Chain Of Events Was Identified, Information Necessary To Prevent The Event Was Identified, And Finally, A Condition Developed That Detected The Circumstances For A Possible Safety Failure So That A Notification Could Be Transmitted To The Actor Who Would Then Take The Appropriate Action To Break The Error Chain. This Paradigm Of Condition Development Can Be Characterized As Reactive. With The Nas Moving Into A State Of Flux With The Integration Of Uavs And General Increased Traffic Volume, Reactive Safety May Not Be Acceptable. In Order To Continue The Steadily Improving Safety Record Of Aviation, A More Proactive Approach Must Be Considered. We Propose The Use Of A Classical Rule-Based Expert System And Other Artificial Intelligence Approaches That Can Make Inferences Of Possible Unsafe Conditions Using A Temporal Knowledge Base Populated By Propositional Statements Generated By Iips Information Sources.
- 4 Jun 2018
- Igf::Ot::Igf Our Phase I Work Focused On How Improved Information Flow Between Actors In A Flight Deck Environment Can Improve Safety Performance. An Operational Prototype Was Developed Demonstrating How The Intelligent Information Processing System (Iips) Will Operate In Actual Accidents/Incidents. For Phase Ii, We Propose The Following Operating Environment Extensions From The Flight Deck Environment: Nextgen Scenarios Emphasizing Interactions With Air Traffic Controllers Operating In Fast Paced, Increased Volume Of Manned And Autonomous Traffic; Uav Operations Emphasizing Introduction Of Uavs Into The Nas, Transition To Autonomy And Fully Autonomous Operations; And Iips In Flight Training Environments Both Simulated And Airborne. We Also Propose An Extension To The Manner In Which Conditions Were Developed In Phase I. Conditions Were Developed Using Post Analysis Of Accidents And Incidents. The Error Chain Of Events Was Identified, Information Necessary To Prevent The Event Was Identified, And Finally, A Condition Developed That Detected The Circumstances For A Possible Safety Failure So That A Notification Could Be Transmitted To The Actor Who Would Then Take The Appropriate Action To Break The Error Chain. This Paradigm Of Condition Development Can Be Characterized As Reactive. With The Nas Moving Into A State Of Flux With The Integration Of Uavs And General Increased Traffic Volume, Reactive Safety May Not Be Acceptable. In Order To Continue The Steadily Improving Safety Record Of Aviation, A More Proactive Approach Must Be Considered. We Propose The Use Of A Classical Rule-Based Expert System And Other Artificial Intelligence Approaches That Can Make Inferences Of Possible Unsafe Conditions Using A Temporal Knowledge Base Populated By Propositional Statements Generated By Iips Information Sources.
- Nasa Shared Services Center
- National Aeronautics And Space Administration (Nasa)
- $747,510.00
- National Aeronautics And Space Administration (Nasa)