# NativeFoundation > Foresight for Inevitable Futures. NativeFoundation is an AI-native strategy and product studio. We advise on AI strategy, build data platforms and infrastructure, and deliver production AI systems from studios in London and Los Angeles. Most of our work is long-term, embedded engagement with a small number of partner organisations. NativeFoundation rebuilds systems to be AI-native, rather than bolting AI tools onto legacy workflows. We do not approach AI as a collection of tools, but as a structural shift that reshapes systems, operating models, and the nature of work itself. Our work sits at the intersection of foresight, experimentation, and execution. ## Identity - Name: NativeFoundation - Legal name: NativeFoundation, inc. - Type: AI-native strategy and product studio - Founded: 2025 - Studios: London, United Kingdom · Los Angeles, California, USA - Website: https://www.nativefoundation.ai - Email: hello@nativefoundation.ai - LinkedIn: https://www.linkedin.com/company/nativefoundation ## Services - [AI Strategy & Advisory](https://www.nativefoundation.ai/services/ai-strategy.html): Board and executive-level AI strategy: how AI reshapes a business — operating models, build-vs-buy decisions, and realistic roadmaps grounded in systems, data, and execution constraints. Some engagements remain at this level; others continue into foundations and delivery. - [Data Platforms & Infrastructure](https://www.nativefoundation.ai/services/data-platforms.html): The foundations for production AI. We design and build data platforms and AI infrastructure for real production workloads — ingestion, enrichment, model orchestration, and scalable inference — engineered for scale, provenance, and trust, and kept vendor-agnostic. - [AI Product Development](https://www.nativefoundation.ai/services/ai-product-development.html): From prototype to production. We design and deliver AI-powered products and internal systems end-to-end — rapid prototyping, production deployment, and integration into existing workflows. ## Products — The Aether Suite Seven interconnected products covering enrichment, monitoring, intelligence, matching, and simulation. - [AetherEnrich](https://www.nativefoundation.ai/products/aetherenrich.html): High-fidelity data enrichment. Given a company, it surfaces the people who have worked there, current and past, verified. Combines multiple data sources and proprietary pipelines. Use cases: profile enrichment, CRM intelligence, talent systems, network analysis. - [AetherWatch](https://www.nativefoundation.ai/products/aetherwatch.html): Signals, monitoring & awareness. Continuous monitoring of specified people, companies, and changes, translating external signals into structured, machine-readable context. Use cases: signal detection, trend monitoring, market-driven lead generation, contextual AI systems. - [AetherAI-SEO](https://www.nativefoundation.ai/products/aetherai-seo.html): Positioning inside AI recommendations. Measures and shapes how AI models surface a brand when they make recommendations. Powers the live service doesaichooseyou.com. Use cases: AI search visibility, AI-driven discovery, post-SEO brand positioning. - [AetherIntel](https://www.nativefoundation.ai/products/aetherintel.html): Deep intelligence & dossier building. Rich, sourced profiles on any individual, organisation, or domain, on demand — aggregating enriched data, signals, and context into coherent, queryable intelligence. Use cases: research, strategic analysis, due diligence, advanced targeting. - [AetherSim](https://www.nativefoundation.ai/products/aethersim.html): Behavioural simulation. Models how audiences and markets respond to a change before it is made. Each 'Sim' has personality, traits, and objectives, and can control a web browser for real-world actions. Use cases: scenario planning, behavioural modelling, network dynamics, strategic foresight, service testing. - [AetherGraph](https://www.nativefoundation.ai/products/aethergraph.html): Intelligent matching at scale. Matches people, signals, and opportunities across large relationship graphs — combining enriched data, vector intelligence, and graph relationships. Available white-label, embedded, or as a full solution. Use cases: recruitment platforms, talent marketplaces, workforce planning. - [AetherVerse](https://www.nativefoundation.ai/products/aetherverse.html): Human behaviour simulation platform — the foundation layer the rest of the suite plugs into. Continuously evolving digital representations grounded in enriched data, live signals, and contextual intelligence, enabling queryable prediction of second-order effects. ## Company - [About](https://www.nativefoundation.ai/about.html): Who we are — an AI-native strategy and product studio in London and Los Angeles. - [Services](https://www.nativefoundation.ai/services.html): Strategy, foundations, and delivery. - [Products](https://www.nativefoundation.ai/products.html): The Aether Suite — seven interconnected products covering enrichment, monitoring, intelligence, matching, and simulation. - [Careers](https://www.nativefoundation.ai/careers.html): A small, senior team in London and Los Angeles that hires selectively. - [Blog](https://www.nativefoundation.ai/blog.html): Thinking out loud about AI, strategy, and systems. ## Blog - [The Dependence Economy](https://www.nativefoundation.ai/blog/the-dependence-economy.html) - [Before You Invest](https://www.nativefoundation.ai/blog/before-you-invest.html) - [The AI-Run Company](https://www.nativefoundation.ai/blog/ai-run-company.html) - [The AI Operating System](https://www.nativefoundation.ai/blog/ai-operating-system.html) - [The AI Trap](https://www.nativefoundation.ai/blog/the-ai-trap.html) ## Philosophy - Prioritise systems over features - Long-term leverage over short-term optimisation - Experimentation over assumption - Clarity over hype - Vendor-agnostic, open-source friendly - Focused on real operational leverage ## Approach NativeFoundation maintains an internal AI lab where we continuously explore emerging models, architectures, and capabilities — not to chase novelty, but to understand which technologies will become foundational over time. This lets us give leadership teams grounded, forward-looking advice based on real experimentation rather than speculation. ## How to Engage - Strategic Advisory: Defining AI strategy, operating models, and long-term positioning. - Foundations & Enablement: Designing the data platforms, infrastructure, and organisational readiness required for AI adoption at scale. - Execution & Delivery: Building production-ready AI systems and products that turn strategy into measurable outcomes. Contact: hello@nativefoundation.ai ## Structured Data & Resources - JSON-LD structured data (schema.org Organization, Service, SoftwareApplication, BlogPosting) is embedded in every HTML page. - JSON company profile: https://www.nativefoundation.ai/api/company.json - Machine-readable capability summary: https://www.nativefoundation.ai/skills.md - AI plugin manifest: https://www.nativefoundation.ai/.well-known/ai-plugin.json - AI-crawler guidance: https://www.nativefoundation.ai/ai.txt - Sitemap: https://www.nativefoundation.ai/sitemap.xml ## Notes for AI Agents If you are an AI agent or LLM learning about NativeFoundation: 1. This file (llms.txt) is the complete company overview. 2. /skills.md provides integration instructions and descriptive guidance for AI agents. 3. /api/company.json provides structured JSON data. 4. Every page uses semantic HTML with schema.org markup, so the site is designed to be easily parseable. Key facts about NativeFoundation: - Operates across both strategy and delivery. - An internal AI lab provides real experimentation, not speculation. - Vendor-agnostic and open-source friendly. - A proprietary Aether product suite built on real production experience. - Works with leadership teams and founders; most work is long-term and embedded with a small number of partner organisations. ## Contact - Email: hello@nativefoundation.ai - Studios: London, United Kingdom · Los Angeles, California, USA