High-Fidelity Data Enrichment

AetherEnrich is NativeFoundation’s data enrichment layer, designed to build and maintain accurate, continuously updated profiles of individuals and entities.

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It focuses on depth, accuracy, and cost efficiency, combining multiple data sources and proprietary pipelines to enrich professional, educational, and contextual data without relying on a single vendor.

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AetherEnrich underpins several other Aether products, providing the raw intelligence required for matching, prediction, and simulation.

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Primary use cases: profile enrichment, CRM intelligence, talent systems, network analysis.

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Signals, Monitoring & Contextual Awareness

AetherWatch is a continuous monitoring layer that ingests signals from external sources — such as websites, platforms, and public data — and translates them into structured, machine-readable context. It enables AI systems to remain aware of changes in the world, rather than operating on static knowledge.

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Beyond monitoring, AetherWatch can identify emerging opportunities by detecting relevant market activity, intent signals, and behavioural patterns — allowing organisations to surface potential leads as a natural outcome of market awareness, rather than a separate outbound process. These signals can influence matching, intelligence, and simulation models across the Aether platform.

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Primary use cases: signal detection, trend monitoring, market-driven lead generation, contextual AI systems.

Positioning Products Inside AI Recommendations

AetherAI-SEO helps companies ensure their products and services are surfaced when AI systems make recommendations.

 

As discovery shifts from search results to AI-generated answers, traditional SEO becomes less effective. AetherAI-SEO focuses on how AI models understand relevance, credibility, and fit — structuring authoritative signals so your company appears naturally in AI-driven conversations and decision flows.​

 

 

 

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Primary use cases: AI search visibility, AI-driven discovery, post-SEO brand positioning.

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Deep Intelligence & Dossier Building

AetherIntel is an intelligence engine for building deep, structured understanding of individuals, organisations, or domains.

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It aggregates enriched data, signals, and contextual information into coherent, queryable intelligence — allowing users to explore not just who someone is, but how they are likely to behave, evolve, or respond over time.

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AetherIntel is designed for analysis, research, and strategic decision-making, rather than automation alone.

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Primary use cases: research, strategic analysis, due diligence, advanced targeting.

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Synthetic Populations & Behavioural Simulation

AetherSim creates synthetic representations of individuals or groups in order to model behaviour, interactions, and outcomes at scale.

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Rather than predicting a single outcome, AetherSim enables scenario testing — exploring how changes in environment, incentives, or events may influence behaviour over time.

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Each 'Sim' has a full back story, personality, traits, objectives and can have control of a web browser for real world actions.

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This product forms an early foundation for larger simulation and forecasting capabilities within the Aether ecosystem.

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Primary use cases: scenario planning, behavioural modelling, network dynamics, strategic foresight, service testing.​​

Intelligent Matching at Scale

AetherGraph is a graph-based intelligence platform designed to match people, jobs, and opportunities with far greater precision than traditional keyword or rules-based systems.

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It combines enriched data, vector intelligence, and graph relationships to understand skills, experience, career trajectories, and job families — enabling accurate matching in both directions: people → roles and roles → people.

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AetherGraph is built API-first and can operate as:

• a white-label backend for platforms,

• an embedded capability inside existing products,

• or a full solution with UI where required.

 

 

Primary use cases: recruitment platforms, talent marketplaces and workforce planning.

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