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RTX BBN TECHNOLOGIES, INC. vs INDEX ANALYTICS LLC

Side-by-side comparison of federal AI/ML contract awards. RTX BBN TECHNOLOGIES, INC. leads with 1.7× the total of INDEX ANALYTICS LLC.

Metric RTX BBN TECHNOLOGIES, INC. INDEX ANALYTICS LLC
Total awarded $27.57M $16.57M
Contract count 6 1
Avg award size $4.59M $16.57M
Agencies served 1 1

Top awards: RTX BBN TECHNOLOGIES, INC.

Department of Defense · Defense Contract Management Agency
FAST NETWORK INTERFACE CARDS (FASTNICS) PROGRAM WILL SPEED UP APPLICATIONS LIKE DISTRIBUTED TRAINING OF MACHINE LEARNING CLASSIFIERS BY100X THROUGH DEVELOPMENT, IMPLEMENTATION
NAICS 541715 MA Award HR001120C0089 Jun 11, 2020 → Jun 30, 2025
Department of Defense · Defense Contract Management Agency
THE SCIENCE OF ARTIFICIAL INTELLIGENCE AND LEARNING FOR OPEN-WORLD NOVELTY (SAIL-ON) PROGRAM INTENDS TO RESEARCH AND DEVELOP THE UNDERLYING SCIENTIFIC PRINCIPLES, GENERAL ENGINEERING TECHNIQUES, AND ALGORITHMS NEEDED TO CREATE AI SYSTEMS.
NAICS 541715 MA Award HR001120C0022 Nov 20, 2019 → Jun 30, 2022
Department of Defense · Defense Advanced Research Projects Agency
EO14042 PERCEPTUALLY-ENABLED TASK GUIDANCE (PTG)- DEVELOP ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGIES TO HELP USERS PERFORM COMPLEX PHYSICAL TASKS
NAICS 541715 MA Award HR001122C0010 Nov 5, 2021 → Feb 28, 2025
Department of Defense · Defense Contract Management Agency
COMPETENCY-AWARE MACHINE LEARNING (CAML). THE CAML PROGRAM PROPOSES TO IMPROVE HUMAN-MACHINE TEAMING AND REALIZATION OF THE TASK SYNERGIES EXPECTED OF AUTONOMOUS SYSTEMS.
NAICS 541715 MA Award HR001119C0114 Sep 25, 2019 → Jun 30, 2021
Department of Defense · Defense Contract Management Agency
DEFENSIVE ANALYSIS AND EXPLORATION IN MACHINE LEARNING
NAICS 541715 MA Award FA875020C1003 Jan 10, 2020 → Mar 27, 2023

Top awards: INDEX ANALYTICS LLC

Department of Health and Human Services · Centers for Medicare and Medicaid Services
ARTIFICIAL INTELLIGENCE THROUGH MACHINE LEARNED MODELING (AIMM)
NAICS 541511 MD Award 75FCMC23F0001 Sep 28, 2023 → Sep 27, 2026

Agency overlap

No common agencies — they serve different parts of the federal market.