Expedition Technology
Expedition Technology is a Herndon, Virginia-based AI/ML engineering firm founded in 2013 that builds proprietary machine learning products for U.S. defense and intelligence customers, including RF security (REALM), training data management (TDS), and RF fingerprinting (ChaRRNets).
- Company typePrivate
- Founded2013
- HeadquartersHerndon, United States
- Headcount101–250
- GTM typeB2B
- OfferingSoftware
What Expedition Technology does
Expedition Technology (EXP) is a privately held, employee-owned engineering firm founded in October 2013 and headquartered in Herndon, Virginia, that applies machine learning and AI to defense and intelligence problems. The company's work spans signal processing, computer vision, deep learning, and embedded systems (FPGA/GPU), with technical specializations in RF spectrum awareness, multi-sensor video analysis, geospatial intelligence, and ML training data management. Its named product portfolio includes the Training Data Storefront (TDS) for ML data management and bias analytics, REALM (an autonomous RF anomaly detection platform with four deployment tiers — Mobile, Edge, Command, Core), ChaRRNets (channel-robust RF fingerprinting), Firetail (SAR/LiDAR target identification with Bayesian inference), and Shadow Compass (multi-INT Bayesian inference). Underlying technical differentiators include complex-valued neural networks, unsupervised anomaly detection with sub-100ms latency, active learning for 3D point clouds, and synthetic data generation.
The company sells primarily through U.S. government contracting vehicles, pursuing competitive awards with DARPA, IARPA, AFRL, the Navy, the Army, DTRA, and the Intelligence Community, with additional revenue as a subcontractor to prime contractors such as L3Harris and Leidos. A secondary commercial motion sells packaged products (REALM, TDS) via direct sales engagement to defense contractors and adjacent commercial buyers. Disclosed contract vehicles include a $241M DoD JAIC DRAID Basic Ordering Agreement over five years, a $9.1M DARPA RFMLS prime contract, $5M AFRL awards (GeoPEX and IC3D), and a $3M DARPA NGEST Phase 1 agreement, supplemented by September 2025 growth investment from Enlightenment Capital and Razor's Edge.
Expedition Technology firmographics
Firmographics- Name
- Expedition Technology
- Legal name
- Expedition Technology, LLC.
- Website
- https://exptechinc.com
- Company type
- Private
- Founded year
- 2013
- Operating status
- Operating
- Headcount range
- 101–250 employees
- Short description
- Expedition Technology is a Herndon, Virginia-based AI/ML engineering firm founded in 2013 that builds proprietary machine learning products for U.S. defense and intelligence customers, including RF security (REALM), training data management (TDS), and RF fingerprinting (ChaRRNets).
- Ownership category
- akta.pro rank
Expedition Technology industry classification
Industry- Product category
- Defense AI/ML Software
- NAICS
- Scientific Research and Development Services (5417)
- SIC
- Search, Detection, Navagation, Guidance, Aeronautical Sys (3812), Services-Commercial Physical & Biological Research (8731)
- akta.pro primary industry
- AI/ML Engineering & Model Development Services (BPAEAHAF)
- akta.pro secondary industry
- Domain-Specific Training Data Solutions (e.g., medical, AV, geospatial) (HDAAALAL)
Keywords
Where Expedition Technology is headquartered
LocationHeadquarters
- HQ city
- Herndon
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Expedition Technology business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Infrastructure, Operations, Marketing or Sales
Revenue model
- Government Defense Contracts: Primary revenue through competitive government contracting with DoD agencies including DARPA, IARPA, AFRL, Navy, Army, DTRA, and the Intelligence Community. Contracts include SBIR Phase I/II/III awards, basic ordering agreements, and multi-year program engagements. Examples include $241M JAIC DRAID vehicle, $3M DARPA NGEST Phase 1, $5M AFRL GeoPEX, and $9.1M DARPA RFMLS.
- Private Investment: Received investment funding from Enlightenment Capital and Razor's Edge to support product expansion for defense/intelligence agencies and growth initiatives.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Other | Multi-year contract | DoD JAIC DRAID contracting vehicle |
Go-to-market motion2 records
Distribution channels3 records
Marketing channels6 records
Expedition Technology product offering
Product offeringCore offering
Expedition Technology develops AI/ML software products and provides advanced research engineering services for U.S. defense and intelligence customers. Core offerings include the Training Data Storefront (ML data management web app), REALM (autonomous RF security platform), ChaRRNets (RF fingerprinting deep learning architecture), Shadow Compass (Bayesian inference engine), and Firetail (geospatial intelligence target identification), alongside custom R&D contracts supporting DoD agencies like DARPA, IARPA, AFRL, Navy, Army, and DTRA.
Product overview
Expedition Technology offers a portfolio of AI/ML-powered products for defense and intelligence applications. The core offerings include the Training Data Storefront (TDS), a full-featured web app for ML training data management with automated data ingest, collaborative annotation, and bias analytics; REALM, an autonomous RF security platform with four deployment options (Mobile, Edge, Command, Core) that provides 24/7 threat detection; ChaRRNets for RF fingerprinting using complex-valued neural networks; Shadow Compass, a multi-INT Bayesian inference engine; and Firetail, a deep learning and Bayesian inference solution for geospatial intelligence. These products work together to address the full ML pipeline from data preparation through deployment, with a focus on national security applications.
Differentiator
Problem solved
Functional benefit
Products and services
- Training Data Storefront (TDS) A full-featured web application for ML training data management that empowers teams to assemble potent datasets from diverse sources. Features automated data ingest, collaborative annotation interface, Dataset Builder for incremental dataset assembly with visual bias analytics, integrated Segment Anything models for high-precision polygon annotation, RAG-based natural language querying, and a REST API for community automation tool integration. Built for ML teams in defense, intelligence, and commercial sectors needing AI/ML-ready datasets.
- REALM (RF Emanation & Anomaly Learning & Monitoring) An autonomous RF security platform that transforms RF blind spots into a cognitive security shield. Uses unsupervised machine learning to self-learn unique RF environments in 24-48 hours and alerts to genuine threats with sub-100ms end-to-end detection latency, covering 100 kHz to 20 GHz+ continuously. Provides threat-agnostic protection against unknown and zero-day RF threats for government facilities, data centers, corporate campuses, forward operating locations, and TSCM/incident response teams.
- ChaRRNets (Channel Robust Representation Networks) Novel deep learning architecture using complex-valued neural networks that are equivariant and invariant to the frequency response of FIR filters, enabling RF fingerprinting recognition of signals under real-world channel and propagation effects such as multipath. Outperforms traditional hand-tuned approaches for device identification in defense and electronic warfare applications.
- Shadow Compass Multi-INT Bayesian inference engine that models real-world intelligence problems using Bayesian math networks for probabilistic decision support. Provides analytical reasoning across multiple intelligence sources for defense and intelligence community users.
- Firetail Deep learning and Bayesian inference approach for geospatial intelligence processing that includes Firetail ML for target identification in SAR and LiDAR data, and Firetail Bayesian for time-dependent probability capability enabling contextual interpretation of targets. Built for Air Force Research Laboratory GeoPEX program and broader geospatial intelligence users.
Quantifiable outcome
- Self-learns RF environment in 24-48 hours vs. weeks of manual tuning for traditional IPMS
- +4 more outcomes
Companies that use Expedition Technology
Customer profileNamed customers11 records
Segments3 records
Ideal customer profiles3 records
Expedition Technology technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability14 records
Feature10 records
Expedition Technology partnerships and signals
Strategic signalPartnerships
Seven partnerships are on record, tiered major.
- Rensselaer Polytechnic InstitutemajorAcademic partner working with EXP on the IARPA Video LINCS program for developing autonomous re-identification algorithms across non-collaborative sensors.
- University of Tennessee KnoxvillemajorAcademic partner collaborating with EXP on IARPA Video LINCS program for autonomous multi-sensor video analysis.
- Michigan Technological Research Institute (MTRI)majorPartner in DARPA's NGEST program bringing expertise in hardware optimization, machine learning, and systems integration.
- University of California, Los Angeles (UCLA)majorAcademic partner on DARPA NGEST contributing hardware optimization and systems integration expertise.
- International Computer Science Institute (ICSI)majorPartnering subcontractor on DARPA's RFMLS program for applying ML to RF spectrum.
- LeidosmajorPartnering subcontractor on DARPA's RFMLS program.
- L3Harris TechnologiesmajorEXP serves as subcontractor to L3Harris on the IARPA HAYSTAC program for human mobility modeling and anomaly detection.
Scale indicators10 records
Recent moves9 records
Expansion highlights6 records
Expedition Technology competitors and assessment
Company assessmentBroad incumbents
- SAIC: SAIC is a federal IT and engineering services prime serving DoD and IC customers. Competes for similar AI/ML engineering and sensor processing task orders across DoD/IC vehicles where EXP holds BOAs.
- Leidos: Leidos is a large federal IT and defense services prime that partners with EXP on DARPA RFMLS. Comparable as a government AI/ML services buyer/partner and competes for overlapping DoD sensor processing and analytics programs.
- Anduril Industries: Anduril is a venture-backed defense technology company building AI-enabled hardware/software systems for DoD. Comparable in defense AI mission and prime-subcontractor relationships, though significantly larger and broader in scope than EXP.
- Palantir Technologies: Palantir provides data integration and AI analytics platforms (Gotham, Foundry, AIP) for DoD and IC customers. Comparable in defense AI/ML software for IC and DoD mission users, though much larger and broader than EXP's niche.
- CACI International: CACI provides IT, engineering, and intelligence services across DoD/IC, with growing investment in AI/ML and electronic warfare. Competes for similar cleared engineering talent and IC contracts as EXP.
- Booz Allen Hamilton: Booz Allen Hamilton is a large government services and AI/ML consulting firm serving DoD and IC clients. Competes with EXP for cleared AI/ML engineering talent and analytics programs at the same IC/DoD agencies.
Emerging players
- Shield AI: Shield AI is a venture-backed defense AI/autonomy company focused on autonomous systems and ISR for DoD. Comparable as a defense AI software peer, though EXP is more sensor/signal-focused while Shield AI centers on autonomy platforms.
- Rebellion Defense: Rebellion Defense is a venture-backed defense AI startup building software products for DoD mission planning, intelligence, and cyber. Comparable to EXP as a smaller, well-capitalized defense AI software firm targeting similar DoD/IC buyers.
Direct peers
- DeepSig: DeepSig applies machine learning to RF signals and spectrum awareness, including RF fingerprinting and emitter classification. Directly comparable to EXP's ChaRRNets/RFMLS work on applying deep learning to RF signals for DoD/IC customers.
- Two Six Technologies: Two Six Technologies is a defense and intelligence technology firm built from IARPA/DARPA-trusted research groups, providing AI/ML, cyber, and data analytics for IC missions. Closely aligned to EXP's IC-focused AI/ML engineering and DARPA/IARPA contract profile.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks5 records
Key highlights7 records
Customer concentration
Expedition Technology social profiles
Digital presenceExpedition Technology financial estimates
Financial estimateRevenue estimate
Valuation estimate
Expedition Technology leadership team
Management profileNumber of profiles
Profiles2 records
Expedition Technology funding detail
Funding detailFunding overview
Funding rounds1 record
Investors2 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Expedition Technology M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Expedition Technology
What does Expedition Technology do?
Expedition Technology develops AI/ML software products and provides advanced research engineering services for U.S. defense and intelligence customers. Core offerings include the Training Data Storefront (ML data management web app), REALM (autonomous RF security platform), ChaRRNets (RF fingerprinting deep learning architecture), Shadow Compass (Bayesian inference engine), and Firetail (geospatial intelligence target identification), alongside custom R&D contracts supporting DoD agencies like DARPA, IARPA, AFRL, Navy, Army, and DTRA.
Is Expedition Technology a public or private company?
Expedition Technology is a private company. It is classified as venture growth investor backed and is currently operating.
When was Expedition Technology founded?
Expedition Technology was founded in 2013. It employs 101 to 250 people.
Where is Expedition Technology based?
Expedition Technology is headquartered in Herndon, United States, in the North America region.
How does Expedition Technology make money?
Two revenue lines are on record. Government Defense Contracts are the primary driver. The others are private Investment.
Who are Expedition Technology's main competitors?
Broad incumbents on record are SAIC, Leidos, Anduril Industries, Palantir Technologies, CACI International and Booz Allen Hamilton. Emerging players are Shield AI and Rebellion Defense. Direct peers are DeepSig and Two Six Technologies.
Does Expedition Technology have an API?
Yes. The Training Data Storefront (TDS) provides a REST API primed to dovetail with community automation tools. TDS is a full-featured web app that offers automated ingest of data, a browse/search/filtering user experience, a collaborative annotation interface, and powerful data extraction tools via its API.
What industry is Expedition Technology in?
Expedition Technology's product category is Defense AI/ML Software. Its primary akta.pro industry code is BPAEAHAF, AI/ML Engineering & Model Development Services, with a secondary code of HDAAALAL, Domain-Specific Training Data Solutions (e.g., medical, AV, geospatial). Its NAICS code is 5417 and its SIC code is 3812.