Primer: Delta, Command and AI for intelligence analysis
Primer’s public portfolio separates document analysis, open-source monitoring and integration through an API. Those products address different parts of an analyst’s workflow.
Intelligence / Archive
Intelligence reporting
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Quantum Systems: drones, software and an expanding portfolio
Quantum Systems combines aircraft with software and a broader autonomy portfolio. Its US subsidiary’s 2026 Vector AI announcement identifies a specific customer and procurement stage.
Reading geolocation-accuracy claims in commercial imagery
A positional-accuracy figure needs a metric, a reference and a scope. Public Landsat documentation shows why an image-wide summary and an assessed location are different forms of evidence.
Revisit time and delivery latency measure different services
Revisit describes an observation opportunity; latency describes the time until a product becomes available. A subscription needs to state which clock its promise uses and what quality of output is delivered.
Ripjar: risk screening, Labyrinth and intelligence software
Ripjar applies intelligence software to financial-crime screening and investigations. Its public portfolio separates screening, an AI assistant and Labyrinth investigation tools.
Saildrone: uncrewed vessels and maritime data services
Saildrone combines uncrewed vessels with managed maritime data collection. A NOAA project with Woolpert illustrates how collection and processing can be divided between suppliers.
SAR resolution and pixel spacing: why the numbers differ
A radar image can have ten-metre pixel spacing while its documented resolution is coarser. The distinction affects supplier comparisons, processing costs and the claims a downstream product can support.
SATLANTIS: optical payloads, small satellites and Earth observation services
Spain-headquartered SATLANTIS builds optical imaging payloads and integrated satellite solutions, with a public mission history spanning environmental and security applications.
Sekoia.io: threat intelligence and security-operations software
Sekoia sells threat intelligence and security-operations software through a network of managed service providers. Its public evidence includes Thales and Infinigate partnerships, named industrial users and a U.S. government acknowledgment.
ShadowDragon: Horizon, SocialNet and the OSINT software market
ShadowDragon supplies OSINT investigation software and integrations. Its public portfolio distinguishes a broader investigation platform from a social-data API.
Synspective: radar imagery, analytics and Japan’s commercial satellite supply chain
Japan’s Synspective operates radar-imaging satellites and sells data and analytics, with public evidence spanning a defence imagery subcontract and telecom disaster-response cooperation.
Thermal imagery: a visual picture and a measurement product are different offers
Thermal data purchases need a clear distinction between a rendered picture, stored measurement data and an interpreted surface-temperature product.
Umbra: radar data, satellite systems and customer access
Umbra supplies radar imagery, spacecraft components and mission partnerships. NRO, e-GEOS and Reflex Aerospace records show the different ways customers can use its technology.
Unseenlabs: satellite RF data and maritime intelligence
Unseenlabs supplies RF data and analysis from space. Its public history describes a maritime starting point and a 2026 move toward broader applications.
Vannevar Labs: intelligence software and customer-led engineering
Vannevar’s public engineering accounts describe a move from Decrypt toward several products and shared infrastructure, with customer-facing engineers shaping development.
Vizgard: FortifAI and visual AI for defense systems
Vizgard supplies visual AI software and supporting products for cameras and uncrewed systems. Its public record identifies government work and industrial customers without disclosing complete contract terms.
What confidence information should accompany a commercial RF data product?
A confidence label is useful only when it names the claim being assessed. RF data buyers need to separate the observation, any classification and the later commercial interpretation, with uncertainty preserved through delivery.