Vadum

What Vadum does

Vadum is a privately held, founder-owned defense technology company headquartered in Raleigh, North Carolina, founded in 2004 by Dr. Aaron Walker. The company designs and develops electrical, mechanical, and software solutions for U.S. Department of Defense military branches, defense primes, and Department of Homeland Security components. Vadum's portfolio spans six operational domains: tactical edge AI (SkyPro ATR), cognitive electronic warfare (ROCS, RF Sentinel, EW-BDA, EW-SSA), spectral situational awareness (CAMLS), predictive targeting and intercept (POSSE, TPAD), hardware-in-the-loop EW test and evaluation (RF Forge), and explosive ordnance disposal (MRED, plus DRM, PAS, and AR Targeting Camera accessories). Its core technology base combines statistical signal processing for RF/radar/communications, deep machine learning across vision, language, and audio modalities, and electro-mechanical system engineering. Multiple products — most notably ROCS (18 years of continuous development, 300+ threat emitters characterized) and SkyPro ATR (which reduces overhead automatic target recognition re-training from weeks to hours without synthetic data or manual annotation) — represent deeply validated, deployed capabilities rather than research-stage concepts.

Vadum's revenue is generated primarily through U.S. government Small Business Innovation Research (SBIR) Phase I and Phase II contracts with the U.S. Navy, Army, Air Force, and DHS, structured as project-based, milestone-driven R&D with a defined path toward Phase III commercialization and transition into Programs of Record. The company holds a seat on the Missile Defense Agency SHIELD IDIQ contract with a $151 billion ceiling, and sells physical hardware products (MRED and EOD accessories) to DoD EOD units. Go-to-market is direct enterprise field sales to government program managers, defense primes, and advanced research labs (DARPA, NIWC, U.S. Army Research Lab, NGA), with no commercial or consumer channels and no recurring SaaS pricing model. All revenue is sourced domestically within the United States.

The company is led by founder and CEO Dr. Aaron Walker (PhD in Electrical Engineering from NC State University), supported by a multi-disciplinary team of PhD scientists, engineers, Air Force, Army, and Navy veterans, and business area managers with 20-30+ years of domain experience in RF, radar, electronic warfare, and machine learning. Vadum operates with 51-100 employees, has no disclosed external institutional investors or private equity backing, and remains concentrated in Research Triangle Park, North Carolina. The product strategy emphasizes full R&D-to-field lifecycle ownership, where SBIR-funded research transitions into embedded program-of-record deployments on platforms such as AEGIS, Army Terrestrial Layer System, and tactical aircraft avionics.

Name

Vadum

Legal name

Vadum, Inc.

Website

https://vaduminc.com

Company type

Private

Founded year

2004

Operating status

Operating

Headcount range

51–100 employees

Short description

Vadum is a Raleigh, NC-based defense technology company that designs AI-enabled electronic warfare, radar characterization, predictive targeting, and EOD systems for the U.S. Department of Defense, defense primes, and DHS, generating revenue through SBIR contracts and direct government procurement.

Ownership category

akta.pro rank

Product category

Electronic Warfare Systems

NAICS

Search, Detection, Navigation, Guidance, Aeronautical, and Nautical System and Instrument Manufacturing (334511)

SIC

Search, Detection, Navagation, Guidance, Aeronautical Sys (3812), Guided Missiles & Space Vehicles & Parts (3760), Ordnance & Accessories, (No Vehicles/Guided Missiles) (3480)

akta.pro primary industry

Military ISR, EW & SIGINT Payloads (Airborne) (IMABAMAF)

akta.pro secondary industry

Guidance, Navigation & Control (GNC) Electronics for Weapons (IMABAGAH)

Keywords

• Electronic warfare systems
• Defense machine learning
• Radar signal processing
• Explosive ordnance disposal
• Military AI software

Headquarters

HQ city

Raleigh

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure

Revenue model

1. DoD SBIR Contract Research and Development: Vadum secures Small Business Innovation Research (SBIR) Phase I and Phase II contracts with various DoD branches and DHS to develop novel technologies. These contracts fund R&D from concept through prototype, with a path toward Phase III commercialization and Program of Record transitions. Revenue is project-based, milestone-driven, and sourced from agencies including U.S. Navy, U.S. Army, U.S. Air Force, and Department of Homeland Security.
2. MRED and EOD Accessories Product Sales: Sale of physical products including the Multi-Shot Robotic EOD Disrupter (MRED), Disrupter Recoil Mount (DRM), Precision Aim Stand (PAS), and AR Targeting Camera. Products are sold to DoD EOD units and explosive ordnance disposal programs. Revenue is one-time hardware sale based with potential for spare parts and accessories follow-on.
3. MDA SHIELD IDIQ Contract: Awarded an IDIQ (Indefinite Delivery/Indefinite Quantity) contract with the Missile Defense Agency for the SHIELD program with a ceiling of $151 billion. Revenue is earned through task orders for specific capability delivery within the layered defense framework.

Go-to-market motion1 record

Distribution channels1 record

Marketing channels5 records

Core offering

Vadum is a U.S. Department of Defense defense technology contractor that designs, develops, and delivers Statistical Signal Processing, Deep Machine Learning, and RF/Electro-mechanical system solutions for Electronic Warfare, Intelligence, Explosive Ordnance Disposal, and Homeland Security applications. Its core deliverables include AI-powered automatic target recognition (SkyPro ATR), cognitive EW radar characterization software (ROCS), RF signal detection/classification (CAMLS), LLM-based multi-modal C4 analytics (LASERTAG), maritime anomaly detection (AHAB), predictive targeting and engagement scheduling (POSSE, TPAD), hardware-in-the-loop EW test systems (RF Forge), and the MRED multi-shot robotic EOD disrupter with accessories. The company executes primarily through SBIR R&D contracts transitioning into DoD Programs of Record, supplemented by direct hardware sales to EOD units.

Product overview

Vadum is a defense technology company that designs, develops, and delivers novel Statistical Signal Processing (RF, radar, communications), Deep Machine Learning (vision, language, audio), and RF and Electro-mechanical system solutions. The company offers multiple distinct products across Electronic Warfare, Intelligence, Explosive Ordnance Disposal, and Homeland Security domains. Key products include SkyPro ATR for AI-powered automatic target recognition; ROCS for cognitive electronic warfare radar characterization; RF Forge for hardware-in-the-loop EW testing; CAMLS and LASERTAG for RF signal classification and multi-modal data analysis; MRED for multi-shot robotic EOD disruption; and TPAD/POSSE for predictive targeting and engagement scheduling. The portfolio includes complementary accessories (DRM, PAS, AR Targeting Camera) for EOD operations. Customers range from advanced DoD research labs to large defense primes to expeditionary DoD personnel and platforms.

Differentiator

Problem solved

Functional benefit

Brands

• SkyPro ATR: AI-powered high-speed image generation and object detection solution for overhead automatic target recognition. Deep machine learning fueled artifact-free data generation capability for supercharging vision-based ATR accuracy.
• MRED
• ROCS
• RF Forge

Products and services

• SkyPro ATR Deep machine learning fueled artifact-free data generation capability for overhead automatic target recognition (ATR). When a novel object is detected, SkyPro automatically generates new pixel-perfect datasets with varying lighting, cloud coverage, and object shadows, reducing ATR re-training from weeks to hours. Delivers up to 20% performance boost over rendered/synthetic data approaches. Targeted at space and drone-based targeting for DoD and intelligence customers.
• ROCS (Radar Online Characterization System) Cognitive electronic warfare software that augments or replaces library lookup to provide actionable information for machine and human EW decisions against modern and emerging complex threat radars. Learns new threat behavior and patterns in operation, runs in real-time with a low computational footprint on existing avionics systems in tactical aircraft, and is scalable to dense emitter environments with robust streaming analytics.
• MRED (Multi-Shot Robotic EOD Disrupter) Remotely controlled multi-shot explosive ordnance disposal (EOD) disrupter delivering the power and versatility of eight 12-gauge disrupters in a single lightweight tool. Capable of up to 8 standard 12-gauge shots before reloading, plus high-pressure water shots, with full remote control of shot loading, reloading, and water injection. Temperature tested from -25F to +135F and compatible with all standard 12-gauge EOD ammunition. Sold to DoD EOD units.
• RF Forge (HWIL Electronic Warfare Test System) Integrated Hardware-in-the-Loop (HWIL) solution for automated test, evaluation, and optimization of cognitive electronic warfare and tactical radio systems. Supports closed-loop threats, automated run-to-run and real-time analytics, complex RCS/propagation/antenna models, and mission-scale spatial effects. Scalable from several to many RF ports in banded architecture with automated calibration of signal levels.
• CAMLS (Context-Aware Machine Learning Signal System) AI-enabled RF signal detection and classification software suite that improves signal identification and aggregates observations from distributed sensors to generate a unified picture of the RF environment. Hardware abstraction layer provides consistent RF ecosystem across SDR platforms, with scalable/adaptable algorithms for varied target hardware compute capabilities. Designed for integration with the U.S. Army Terrestrial Layer System (TLS).
• LASERTAG (LLM-based Analysis and Structuring of multi-modal C4 data) Novel machine learning framework for intelligently analyzing, efficiently structuring, and intuitively explaining large volumes of unstructured multi-modal data within C4 Systems. Modifies open-source LLM backbone to process multi-modal inputs (audio, images, text), uses automatic intelligent prompt modification techniques to generate explanations, and forms knowledge graphs automatically with an intuitive front-end interface for DoD operator interaction.
• AHAB (Alert Handling for Anomalous Behavior) Pioneering ML system for automatic analysis of maritime video surveillance feeds to detect and flag multifaceted behaviors associated with drug smuggling. Uses a multi-scale spatial and temporal analytics engine to detect salient, complex, and evolving behaviors of interest, incorporates operator feedback for alert fine-tuning, and is adaptable to border patrol surveillance, military outposts, government facilities, and critical public infrastructure.
• POSSE (Prediction, Optimization, and Scheduling of System Engagements) Algorithmic solution that models dense AEGIS Combat System air defense engagements as a graph of connected engagement opportunities. Uses graph traversal algorithms to determine the optimal set of engagement opportunities that maximize probability of kill and minimize the likelihood of engagement interference for closely spaced air defense threats.
• TPAD (Threat Prediction for Air Defense) Algorithmic solution that enhances U.S. Navy AEGIS Combat System effectiveness for threat prediction in air defense scenarios. Uses threat kinematics and ML model-based algorithms to predict future states of incoming threats, supporting interceptor engagement planning and threat state prediction.
• EW-BDA (EW Battle Damage Assessment) Real-time feedback of Electronic Attack (EA) by fusing over-the-air and multi-source data to generate threat behavior features reflecting RF link quality. Provides threat-centric situational awareness and supports rapid decision-making in contested electromagnetic environments.
• DRM (Disrupter Recoil Mount) Rugged recoil-mitigating mount designed to attenuate disrupter firing forces, protecting robotic arms and mounting hardware while maintaining alignment during firing. Compatible with the MRED and single-shot PAN-style disrupters. Sold to DoD EOD units as a complementary accessory.
• PAS (Precision Aim Stand) Ground-deployed firing stand that provides fine elevation and azimuth positioning for precise disrupter alignment during standoff EOD operations. Supports the MRED and single-shot PAN-style disrupters. Sold to DoD EOD units as a complementary accessory.
• AR Targeting Camera Enhanced visual feedback module with augmented-reality aim referencing for accurate disrupter alignment at standoff distances. Deploys on the Precision Aim Stand or a nearby tripod. Sold to DoD EOD units as a complementary accessory.

Quantifiable outcome

• SkyPro ATR reduces Automatic Target Recognition re-training times from weeks to hours
• +6 more outcomes

Named customers10 records

Segments2 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability11 records

Feature13 records

Partnerships

Six partnerships are on record, tiered core and flagship.

• U.S. NavycoreStrategic or Co-development PartnerVadum has a long-standing strategic relationship with the U.S. Navy, originating from early counter-IED electronic forensics work in 2004 and continuing through current AEGIS Combat System algorithmic development (POSSE, TPAD). The Navy is a key SBIR sponsor and program transition partner.
• U.S. ArmycoreStrategic or Co-development PartnerVadum is developing CAMLS for integration with the Army Terrestrial Layer System (TLS) under a Phase 2 Sequential SBIR award. The partnership enables delivery of real-time actionable RF situational awareness across Army RF-capable devices.
• U.S. Air ForcecoreStrategic or Co-development PartnerVadum is developing LASERTAG (LLM-based Analysis and Structuring of multi-modal C4 data) for Air Force C4 Systems under a Phase 2 SBIR award, targeting TRL-6 solution delivery.
• Missile Defense Agency (MDA)flagshipStrategic or Co-development PartnerVadum was awarded a seat on the MDA SHIELD IDIQ contract with a $151 billion ceiling, the largest contract vehicle in the company's portfolio. This strategic partnership covers novel ML-based target classification and threat prediction for layered missile defense.
• U.S. Coast Guard (USCG) / Department of Homeland SecuritycoreStrategic or Co-development PartnerVadum developed AHAB capabilities for the USCG under a DHS SBIR Phase 1 award, enabling automatic analysis of maritime video surveillance to detect drug and human smuggling behaviors.
• AEGIS Prime ContractorcoreStrategic or Co-development PartnerVadum coordinates its POSSE algorithm development with the AEGIS prime contractor and Government stakeholders for Phase II testing campaign and Phase III transition, coordinating algorithm improvement and verification data collection.

Scale indicators3 records

Recent moves6 records

Expansion highlights5 records

Market position

Competitive moat5 records

Key risks6 records

Key highlights6 records

Customer concentration

• YouTubeyoutu.be/c50QbGFD6nQ
• Facebookfacebook.com/VadumInc
• LinkedInlinkedin.com/company/vadum-inc.

Revenue estimate

Valuation estimate

Number of profiles

Profiles9 records

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Vadum