Seekr & Enabled Intelligence tie up on AI data scrutiny

Seekr has partnered with Enabled Intelligence, combining Seekr's AI software with Enabled Intelligence's data-labeling operation.

The arrangement targets customers in defence, intelligence and other sectors where the source and handling of training data can determine whether AI systems are approved for operational use.

Enabled Intelligence uses a US-based workforce that includes former military personnel and geospatial analysts to label and annotate imagery, video, text and audio. That work will feed into Seekr's models and tools, including language-vision systems and its SeekrGeo geospatial reasoning product.

The deal reflects a wider debate in AI procurement over the importance of training data governance as buyers look beyond model performance claims. In sensitive applications, customers increasingly want records showing who handled data, what expertise they had and how quality checks were carried out.

The combined offering is intended to provide a traceable chain of custody for training data, linking labeled material to identified workers rather than anonymous contract pipelines. That is likely to matter most in fields where classification, domain knowledge and audit trails carry as much weight as raw model accuracy.

Both companies are pitching the tie-up beyond government work. They identified financial services, supply chain and logistics, critical infrastructure and utilities as target sectors for tools trained on proprietary customer data.

Data scrutiny

The announcement comes as businesses and public-sector buyers face growing questions about how AI systems are trained and validated. Models built on broad public datasets have been widely adopted, but they can struggle in specialist environments where source material is limited, sensitive or difficult to interpret without subject knowledge.

For defence and intelligence users, the issue is more acute. Mislabelled imagery, misunderstood signals or poor annotation standards can affect outputs in ways that are hard to detect after deployment, especially when systems are used to support decisions on targets, assets or threats.

Enabled Intelligence said its workforce is made up of full-time vetted experts and that it also provides data quality assurance as part of the process. Seekr's products focus on explainability and giving users visibility into how models generate outputs, particularly when trained on organisation-specific datasets rather than open-web material.

The companies said customers would also be able to use pre-built AI agents and analytics tools alongside tailored models. In practice, that means combining labelled multimodal datasets with software designed to identify patterns in text, images and video for industry-specific use cases.

Peter Kant outlined the rationale for the deal in a statement from Enabled Intelligence.

"Deploying AI out of the box isn't enough for organizations that want a competitive edge," said Peter Kant, Chief Executive Officer of Enabled Intelligence. "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. Whether they're interpreting complex geospatial data or surfacing the patterns that matter in their own operations, these precision tools turn raw data into reliable, explainable insight."

Procurement focus

The push for tighter control over training data has become more visible as AI buyers move from pilots to procurement. In regulated or security-sensitive environments, vendors are being asked not only about model outputs but also about provenance, data handling and the qualifications of the people preparing datasets.

That trend has created an opening for specialist providers that can offer smaller, domain-specific systems and clearer audit trails rather than relying on large general-purpose models trained on vast public corpora. It has also shifted attention to annotation work, which has often remained behind the scenes in the AI supply chain.

Rob Clark said customers are focused on precision, explainability and secure model training.

"Whether they are in financial services, supply chain and 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 and agents that are securely trained using their own proprietary data," said Clark. "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."