RTX BBN Technologies, Inc.

RTX BBN Technologies, Inc., doing business as BBN Technologies, a Cambridge, Massachusetts–based research and engineering subsidiary of Raytheon Technologies Corporation (RTX Corp), delivers advanced technology development, systems analysis, and applied research services to defense and intelligence agencies as a prime contractor on 91% of its federal awards under full-and-open competition with no set-aside participation. The company operates across quantum computing, artificial intelligence, cybersecurity, autonomous systems, communications technologies, and undersea warfare systems, with a $4.48 billion combined potential value across 661 prime and sub awards since 2000.

RTX BBN's customer concentration is heavily weighted toward defense research agencies. The Air Force Research Laboratory dominates by award count (147 awards, $747.9 million combined potential value) and tracks closely with dollar rankings, followed by DARPA (108 awards, $716.6 million), Air Mobility Command (30 awards, $341 million), the Office of the Secretary of Defense (5 awards, $274.6 million), and Naval Sea Systems Command (31 awards, $266.1 million). These five customers account for 52% of the vendor's combined potential value. Award volume has grown from 21 in 2022 to 41 in 2024, with 2025–2026 showing moderation (23 and 11 awards respectively). Twenty-two awards with ultimate completion dates in the next twenty-four months carry combined potential value of $202.5 million, creating significant recompete exposure.

RTX BBN holds a $125 million single-award indefinite-delivery contract with U.S. Transportation Command for Analysis of Mobility Platform (AMP) mobility technology services through March 2031, with 2 task orders issued to date. The company also anchors multiple DARPA Other Transaction IDVs sitting outside FAR constraints: ARTEMIS BASE Rapid Resilience Response ($7.4 million, June 2025), DONATELLO/CODORD ($2 million, February 2025), PWND2 ($1.1 million, January 2025), XENA ($646 thousand, March 2025), and a $10.3 million multiple-award OTA (March 2024). A $245.9 million Naval Sea Systems Command multiple-award indefinite-delivery contract for Undersea Weapons and Undersea Defensive Family of Systems (through January 2029) has supported 2 delivery orders totaling $19.1 million for MK48 and MK54 torpedo operational software development. The Office of the Secretary of Defense Basic Ordering Agreement for AI data readiness and synthetic data generation (May 2022–March 2027) carries a $249 million ceiling with no obligated funds at award.

Recent representative prime work includes a $69.1 million Air Force Research Laboratory cyber advancement technologies contract (July 2024, ultimate completion September 2029) for secure development tools and zero-trust computing; a $33.7 million AFRL APEX GEAR contract (July 2025, through December 2027) for air operations planning software with subcontractors CACI, Inc. – Federal, Kestrel Institute, and Breakaway, LTD.; a $20.6 million DARPA Quantum Augmented Network contract (March 2024, through February 2026) with academic subcontractors University of Maryland College Park, University of Massachusetts, University of Arizona, UC San Diego, and MIT; a $19.1 million Naval Sea Systems Command delivery order (May 2024, through May 2029) for torpedo operational software; a $14.36 million DARPA Other Transaction Agreement for ARTEMIS BASE research (June 2026, through June 2029); a $12.88 million Naval Air Systems Command ground replay system development contract (June 2025, through June 2030) with Dell Federal Systems as a subcontractor; and a $8.55 million U.S. Customs and Border Protection purchase order for Border Tunneling Activity Detection System-Point sustainment (September 2026, through September 2029).

RTX BBN operates as a prime contractor on the majority of its work and engages subcontractors selectively. Across SCI-reportable prime contracts covering FY2023–FY2025, the company invoiced $56.8 million ($18.2 million in FY2023, $20.2 million in FY2024, $18.4 million in FY2025) with a median government-paid hourly rate of $290.85/hr, with senior labor pricing reaching $500.79/hr at the 90th percentile. Subcontractors performed an average of 20% of contractor hours on SCI-reportable prime contracts, with 20 named subcontractors across the SCI dataset. In its subcontractor role, RTX BBN delivers research and engineering services to Electric Boat Corporation on next-generation submarine science and technology efforts, to Science Applications International Corporation on surface ship torpedo defense (AN/SLQ-25D Nixie) engineering support, to Booz Allen Hamilton on advanced technology R&D including cyber operations and command-and-control integration, and to other primes including Lockheed Martin, Huntington Ingalls, and The Johns Hopkins University Applied Physics Laboratory on undersea and air warfare system support.

RTX BBN holds two federal grant awards as a prime recipient: a $738,245 cooperative agreement incremental funding option with the Research Development and Engineering Command for Dynamic Network Resilience for Capturing Counter-World Operations (DYNER) through May 2029, and a cooperative agreement with RDEC for Sticky Formation Tracking with Learning and Deception in Complex Terrains (StickyLearn), completed November 2024. The vendor acts as a sub-recipient on University of Florida and University of Massachusetts Lowell grants, contributing to robotic autonomy research and quantum qubit stabilization efforts respectively.

SCI data captures a narrow slice of federal service-contract activity above the $150,000 reporting threshold and excludes goods, products, classified work, and non-federal revenue; the $56.8 million in SCI invoicing across the three-year period and roughly 21–33 FTEs on SCI-reportable contracts represent a small portion of RTX BBN's total federal revenue and workforce. The company's service contract footprint has held steady at approximately $18–$20 million annually in SCI-reportable invoicing, with workforce between 21 and 33 FTEs across prime records.