Enabled Intelligence, Inc. Market Research Report
Background
Overview
Enabled Intelligence, Inc. is a privately held artificial intelligence (AI) technology company founded in October 2020. Headquartered in Falls Church, Virginia, the company specializes in providing secure and accurate data labeling services essential for AI and machine learning (ML) applications, particularly within the defense, intelligence, and critical industries sectors.
Mission and Vision
The company's mission is to deliver high-quality, secure data annotation services that enable the development and deployment of advanced AI systems. By focusing on precision and security, Enabled Intelligence aims to support mission-critical applications, ensuring that AI models are trained on reliable and accurate data.
Primary Area of Focus
Enabled Intelligence concentrates on data curation, conditioning, and annotation services, facilitating the creation of training and testing datasets for AI models. Their expertise spans various data types, including satellite imagery, radar, text, speech, audio, and video, catering to the unique requirements of government and defense sectors.
Industry Significance
In the rapidly evolving AI landscape, the quality of training data is paramount. Enabled Intelligence addresses this need by providing specialized data labeling services that enhance the performance and reliability of AI models used in critical applications, thereby contributing significantly to advancements in national security and defense technologies.
Key Strategic Focus
Core Objectives
- Data Annotation Excellence: Ensure the highest standards of accuracy and security in data labeling to support the development of robust AI models.
- Scalability: Develop scalable solutions that can handle large volumes of diverse data types efficiently.
- Security Compliance: Adhere to stringent security protocols, including operating within Sensitive Compartmented Information Facilities (SCIFs) and maintaining compliance with NIST 800-705 and Cyber Maturity Model Certification Level 2 standards.
Areas of Specialization
- Geospatial Data Annotation: Provide precise labeling of satellite imagery and geospatial data to support intelligence and defense operations.
- Multimodal Data Handling: Expertise in annotating various data forms, such as text, speech, audio, video, and hyperspectral imagery.
- AI Model Testing and Evaluation: Offer services for testing AI models in real-world defense environments to ensure operational effectiveness.
Key Technologies Utilized
- EnkI™ Platform: An open architecture platform designed to maximize scalability and quality while limiting vendor lock-in, ensuring data remains fully owned and accessible to customers.
- Expert-in-the-Loop Annotation: Incorporation of human expertise in the annotation process to enhance data quality and model performance.
Primary Markets Targeted
- Defense and Intelligence: Supplying data annotation services for military and intelligence applications.
- Government Agencies: Supporting federal programs requiring secure and accurate AI data labeling.
- Commercial Data Providers: Collaborating with commercial entities to enhance their AI model training datasets.
Financials and Funding
Funding History
As of February 2026, Enabled Intelligence has raised a total of $1 million in funding. The most recent funding round, a seed round, was completed in 2025, securing the full $1 million.
Notable Investors
Specific details regarding individual investors are not publicly disclosed.
Utilization of Capital
The capital raised is intended to support the expansion of operations, enhance technological capabilities, and further develop AI data annotation services to meet the growing demand in defense and intelligence sectors.
Pipeline Development
Key Pipeline Candidates
Enabled Intelligence is actively engaged in several initiatives, including:
- AI Data Annotation Services: Ongoing development of services to provide secure and accurate data labeling for AI applications.
- AI Model Testing Platforms: Advancement of platforms designed to test AI models in real-world defense environments.
Stages of Development
- AI Data Annotation Services: Services are operational, with a focus on enhancing accuracy and scalability.
- AI Model Testing Platforms: Platforms are in the development phase, with initial testing and evaluation underway.
Target Conditions
The company's services are tailored to meet the needs of defense and intelligence agencies, addressing challenges related to data security, accuracy, and scalability in AI applications.
Anticipated Milestones
- Platform Deployment: Expected to deploy AI model testing platforms in 2026.
- Service Expansion: Plans to expand data annotation services to additional government agencies and commercial clients in the coming years.
Technological Platform and Innovation
Proprietary Technologies
- EnkI™ Platform: An open architecture platform that ensures scalability and quality while limiting vendor lock-in, allowing clients full ownership and access to their data.
Significant Scientific Methods
- Expert-in-the-Loop Annotation: Incorporating human expertise into the annotation process to improve data quality and model performance.
- AI Model Testing: Utilizing advanced testing methodologies to evaluate AI models in real-world defense environments, ensuring operational effectiveness.
Leadership Team
Key Executives
- Peter Kant: Chairman and CEO. An experienced entrepreneur focused on the intersection of technology and government missions.
- Scott Rubin: Chief Financial Officer. Responsible for overseeing the company's financial operations and strategy.
- Mark Tramontozzi: Chief Operating Officer. Manages day-to-day operations and ensures efficient service delivery.
- Lauren Smith: Chief People Officer. Leads human resources and talent management initiatives.
- David Ross: Chief Information Security Officer. Ensures the security and compliance of the company's data handling processes.
- Charles Milligan: Director of Business Development and Sales. Focuses on expanding the company's client base and partnerships.
- Miller Wilt: Director of Data Science. Leads the data science team in developing AI models and testing platforms.
Leadership Changes
No significant leadership changes have been reported as of February 2026.
Competitor Profile
Market Insights and Dynamics
The AI data annotation market is experiencing significant growth, driven by the increasing adoption of AI technologies across various sectors, including defense, intelligence, and commercial industries. The demand for high-quality, secure data labeling services is rising, presenting opportunities for companies like Enabled Intelligence to expand their offerings.
Competitor Analysis
Enabled Intelligence operates in a competitive landscape with several key players:
- MondoBrain: Specializes in AI data annotation services with a focus on enterprise solutions.
- Cynet Systems: Offers a range of cybersecurity and AI data services, including data labeling and annotation.
- GuidePoint Security: Provides cybersecurity solutions with capabilities in AI data annotation and labeling.
- Pro-Sphere Tek: Delivers IT services with a focus on AI data annotation and related technologies.
Strategic Collaborations and Partnerships
Enabled Intelligence has established partnerships to enhance its service offerings:
- SourceAmerica: Collaborated to expand employment opportunities for individuals with disabilities, integrating diverse talents into the workforce.
- Maxar Intelligence: Partnered to support geospatial intelligence initiatives, combining data annotation expertise with advanced geospatial insights.
Operational Insights
Enabled Intelligence differentiates itself through its commitment to data security, accuracy, and scalability. The company's focus on employing a diverse workforce, including veterans and individuals with disabilities, enhances its ability to deliver high-quality services. Additionally, the development of proprietary platforms like EnkI™ provides a competitive edge in the market.
Strategic Opportunities and Future Directions
Strategic Roadmap
- Service Expansion: Plan to broaden data annotation services to additional government agencies and commercial clients.
- Technological Advancements: Continue to develop and refine AI model testing platforms to meet evolving industry needs.