Building Defensible AI: Seekr and Enabled Intelligence Tackle Trust

RESTON, VA – July 01, 2026 – In a move that directly confronts the enterprise AI industry’s persistent trust problem, explainable AI leader Seekr and high-precision data labeling specialist Enabled Intelligence have announced a strategic partnership. The alliance combines Seekr’s platform for building auditable AI with Enabled Intelligence’s expert-vetted data annotation services to deliver secure, purpose-built models for high-stakes industries.

The collaboration aims to move beyond the limitations of generic, large-scale AI by focusing on the foundational element that determines model reliability: the data itself. By pairing an explainable AI architecture with meticulously curated training data, the two companies are making a bid to solve the issues of model “hallucinations” and black-box decision-making that have hindered AI adoption in critical sectors.

The Trust Deficit in Enterprise AI

The AI market is booming, but its rapid expansion has been shadowed by a significant “trust gap.” For enterprises operating in finance, defense, and critical infrastructure, deploying an AI system that cannot explain its reasoning is a non-starter. This demand for transparency is fueling a surge in the Explainable AI (XAI) market, projected to grow from roughly $7.8 billion in 2024 to over $21 billion by 2030.

This growth is not just market-driven; it’s increasingly a matter of regulatory compliance. Frameworks like the EU AI Act and the NIST AI Risk Management Framework are codifying the need for transparency, accountability, and human oversight, especially for “high-risk” systems. These regulations mandate that organizations be able to audit and defend the decisions made by their algorithms, a requirement that general-purpose models trained on the open internet often fail to meet.

“Deploying AI out of the box isn't enough for organizations that want a competitive edge,” said Peter Kant, Enabled Intelligence CEO. “Our partnership with Seekr pairs best-in-class platform tools with precision labeling and analysis, giving customers sophisticated AI solutions they can act on with confidence.”

A Foundation of Precision: The Human-in-the-Loop Advantage

At the heart of the partnership is Enabled Intelligence’s unique approach to data labeling. While much of the industry relies on crowdsourced, often international, gig workers, Enabled Intelligence has built a 100% U.S.-based workforce of full-time, vetted experts. This team includes geospatial analysts, former military personnel, and neurodiverse professionals capable of obtaining high-level security clearances.

This distinction is critical for government and enterprise clients handling sensitive or classified information. The company’s focus on a secure, domestic workforce was a key factor in securing a landmark $708.3 million contract with the National Geospatial-Intelligence Agency (NGA)—reportedly the largest-ever U.S. government contract for AI data labeling. The work supports critical defense initiatives, where data integrity and security are non-negotiable.

Company leadership notes that its neurodiverse talent possesses exceptional skills in pattern recognition and detail orientation, achieving accuracy rates above 95%, far surpassing the industry standard. This expert-in-the-loop process is managed through EnkI, the company’s proprietary software platform, which provides granular quality assurance and ensures that the data fed into AI models is as close to perfect as possible. By reducing the noise, errors, and ambiguity in training data, this method directly mitigates the risk of model hallucinations and unreliable outputs.

From Clean Data to Explainable Decisions

The partnership integrates this high-fidelity data pipeline directly with Seekr's SeekrFlow platform. Seekr has established itself as a leader in “defensible AI,” providing tools that allow organizations to not only build custom models but also trace their outputs back to the source data and reasoning steps.

SeekrFlow is an end-to-end platform for building, governing, and deploying domain-specific large language and vision models. A core feature, “Principle Alignment,” allows developers to embed an organization's specific policies, regulatory constraints, and proprietary knowledge directly into the model’s behavior. This ensures the AI operates within defined guardrails, a crucial capability for regulated industries.

The synergy becomes particularly powerful in complex, multi-modal applications. For example, the partnership will enhance the SeekrGeo platform, which is designed for advanced geospatial reasoning. Enabled Intelligence’s expertise in annotating complex satellite imagery, SAR, and other sensor data will provide the pristine fuel for SeekrGeo’s analytical engine. The result is an ability to surface patterns, detect changes, and explain activity in the physical world with a level of clarity and reliability that off-the-shelf models cannot replicate.

“Whether they are in financial services, supply chain & logistics, critical infrastructure and utilities, or another high-stakes industry, these customers demand the highest level of precision and the explainability required of purpose-built AI models,” said Rob Clark, Seekr President. He emphasized that training these models securely with proprietary data is paramount. “Adding Enabled Intelligence's unparalleled, high-precision data labeling and proprietary AI model quality assurance tools and capabilities to Seekr's platform ensures those customers get the most accurate, explainable, purpose-built AI that solves their toughest challenges.”

Targeting High-Stakes Industries

The joint offering is squarely aimed at sectors where the cost of an AI error is unacceptably high. In financial services, where the AI market is expected to exceed $166 billion by 2035, models for fraud detection and credit scoring require full auditability. In defense and intelligence, secure, sovereign AI that can operate in disconnected environments is essential for mission success. And in critical infrastructure, AI is needed to optimize aging power grids and manage renewable energy sources, but security and reliability concerns have slowed adoption.

By combining a secure, U.S.-based data supply chain with a transparent, auditable AI platform, Seekr and Enabled Intelligence are providing a solution tailored to these exacting requirements. Their ability to support flexible deployments—from cloud to fully air-gapped on-premises systems—further addresses the diverse operational and security needs of this demanding client base. This focus on creating specialized, trustworthy systems represents a significant shift away from the one-size-fits-all approach, offering a path for enterprises to finally deploy AI with confidence.