Pentagon's AI Gets a Dose of Trust and Precision

FALLS CHURCH, Va. – August 27, 2026 – In the high-stakes world of national security, where the speed and accuracy of information can mean the difference between strategic advantage and disaster, the U.S. government is placing its bets on a new breed of artificial intelligence. A partnership announced today between Enabled Intelligence (EI) and Seekr aims to accelerate this shift, pairing human-driven data precision with AI that can explain and defend its every move.

Seekr, a specialist in explainable AI, will join EI as a subcontractor on major national security programs, most notably for the National Geospatial-Intelligence Agency (NGA). The collaboration promises to enhance the speed and efficiency of creating AI models by integrating Seekr's "Agentic AI" platform into EI's established, high-precision data labeling workflow. For a Pentagon grappling with the dual mandate of innovating rapidly while ensuring AI systems are trustworthy, this alliance represents a significant step forward.

The Precision Engine of Mission-Critical AI

At the heart of any effective AI is the data it's trained on. For years, the adage has been "garbage in, garbage out." Enabled Intelligence has built its reputation by solving the "garbage in" problem with an almost fanatical devotion to quality. The company provides data labeling services—the painstaking process of identifying and tagging objects in images, text, and other data to teach AI models what to look for—with an industry-leading 95% accuracy rate.

This figure stands in stark contrast to an industry standard that often hovers around 70%. The company attributes its success to a unique workforce strategy, employing a significant number of neurodiverse individuals whose skills in pattern recognition and attention to detail are leveraged for data quality. This human-in-the-loop precision is the foundation for the NGA's massive $708 million SEQUOIA contract, the largest data labeling award in the agency's history, which EI secured by outbidding industry giants like Scale AI. Operating with a 100% U.S.-citizen workforce and Top Secret/SCI-level clearances, EI has become a trusted engine for preparing the fuel for the nation's most sensitive AI systems.

"In mission critical work, efficiency equals speed," said Peter Kant, Founder and CEO of Enabled Intelligence. "Bringing Seekr onto work with our U.S. government customers lets us increase efficiency while providing the high levels of accuracy our customers have come to expect."

Building a Defensible AI: Beyond the Black Box

While high-quality data is the foundation, the AI model itself is where trust is either won or lost. For years, many powerful AI systems have operated as "black boxes," delivering outputs without revealing their decision-making process. In a commercial setting, this is a challenge; in national security, it's a non-starter. This is where Seekr's technology enters the picture.

Seekr specializes in what it calls "explainable, defensible AI." Its SeekrFlow platform allows government agencies to build and deploy AI agents trained on their own proprietary data. Crucially, these systems are designed for transparency. The platform includes robust verification and validation tools that surface the provenance and intent behind every model decision, allowing an analyst to audit the AI's reasoning. This aligns directly with guidelines from the National Institute of Standards and Technology (NIST) and the DoD's Chief Digital and AI Office (CDAO), which have made explainability a core tenet of trustworthy AI.

"In national security missions, accuracy, speed and efficiency are paramount to the mission," said Rob Clark, President of Seekr. "Combining EI's high-precision data with Seekr's agents enable high levels of automation across annotation and model building, maintaining high accuracy while driving cost and turnaround times down. Government customers not only get accurate, mission-ready data faster, they get AI that can explain, audit, and defend every decision."

This capability is more than a technical feature; it's a strategic imperative. By making AI auditable, the partnership aims to build confidence among warfighters and intelligence analysts, encouraging adoption and ensuring that human operators remain in ultimate control.

A Strategic Alliance for Geospatial Dominance

The most immediate impact of this partnership will be felt in the realm of geospatial intelligence. The NGA is responsible for processing and analyzing staggering volumes of imagery and data from satellites, drones, and other sensors to provide intelligence for military operations, disaster relief, and strategic planning. Manually analyzing this data is no longer feasible.

By integrating Seekr's AI agents into EI's workflow for the SEQUOIA contract, the two companies will accelerate the development of computer vision models capable of automatically detecting and classifying objects of interest—from military hardware to environmental changes—in near real-time. The combination of EI's precisely labeled training data and Seekr's efficient, explainable models promises to deliver a significant strategic advantage. Analysts will be able to task AI with greater confidence, understand its outputs, and ultimately make faster, better-informed decisions.

Setting the Standard in a Competitive AI Landscape

The Enabled Intelligence-Seekr partnership is a clear signal of where the government AI market is heading. It's a move away from monolithic, one-size-fits-all solutions and toward specialized, integrated systems that prioritize precision, security, and trust. Both companies bring a deep understanding of the government's stringent security requirements, from CMMC compliance to support for "sovereign deployments" that keep sensitive data within a secure government-controlled environment.

This collaboration creates a powerful offering that is difficult for competitors to replicate: the combination of a uniquely effective human workforce for data quality, advanced AI agents for automation and speed, and a foundational commitment to explainability and auditability. In doing so, it doesn't just promise to make the Pentagon's AI more efficient; it aims to make it fundamentally more trustworthy.