AI systems<\/p>Drones for site survey and sensor placement<\/h3>Uncrewed aircraft for tower inspection, terrain survey and placing or retrieving sensors under aviation rules.<\/p>We design, integrate and operate.<\/p>Canadian Aviation Regulations Part IX (RPAS) \u00b7 ASTM F3411 (remote ID) \u00b7 JARUS SORA<\/p><\/article>AI systems<\/p>Inspection robots for sites and facilities<\/h3>Ground robots that read gauges, scan thermals and check equipment in edge sites and plants.<\/p>We design, integrate and operate.<\/p>ISO 3691-4 (driverless industrial trucks) \u00b7 ISO 13482 (personal care robots)<\/p><\/article>AI systems<\/p>Collaborative robots<\/h3>Robots working alongside people with force and speed limits.<\/p>We design and integrate.<\/p>ISO 10218-2 (industrial robot systems) \u00b7 ISO\/TS 15066 (collaborative robots)<\/p><\/article>AI systems<\/p>Functional safety of AI-enabled machines<\/h3>Safety lifecycle methods applied when learned components influence machine behaviour.<\/p>We design and support.<\/p>IEC 61508 \u00b7 ISO 13849-1 \u00b7 ISO\/IEC TR 5469<\/p><\/article>Frontier<\/b> \u00b7 AI systems<\/p>Simulation and sim-to-real transfer<\/h3>Training and testing robot behaviour in simulation, then validating on real hardware.<\/p>We design and integrate.<\/p>ISO\/IEC 30173 (digital twin concepts)<\/p><\/article>Frontier<\/b> \u00b7 AI systems<\/p>Embodied foundation models<\/h3>Large models that map perception and instructions to robot actions, an active research area.<\/p>We design.<\/p>ISO\/IEC TR 5469<\/p><\/article>AI systems<\/p>Red lines: no weapons, targeting or unlawful tracking<\/h3>Physical AI work excludes weapons, target selection and tracking of people without lawful authority and consent.<\/p>We design and operate.<\/p>OECD AI Principles \u00b7 UN Guiding Principles on Business and Human Rights<\/p><\/article>AI systems<\/p>Performance evaluation<\/h3>Task metrics, test design and reporting that show how a model performs and where it does not.<\/p>We design and operate.<\/p>ISO\/IEC TS 4213 (classification performance assessment) \u00b7 ISO\/IEC 25059 (quality model for AI systems)<\/p><\/article>AI systems<\/p>Robustness testing<\/h3>Testing under noise, shift, missing inputs and edge cases.<\/p>We design and operate.<\/p>ISO\/IEC TR 24029-1 \u00b7 ISO\/IEC 24029-2 (robustness of neural networks)<\/p><\/article> <\/section> 02<\/b>Architecture<\/p> Where it sits, and what it speaks.<\/h2> Physical AI draws on 4 domains and 32 layers of the spectrum; the highlighted layers carry this area. It speaks 3 of the protocol’s 8 core functions.<\/p> Edge inference, model serving and optimisation<\/p>10<\/p> Foundation models for Earth observation and geospatial<\/p>9<\/p> Time-series and sensor AI<\/p>8<\/p> Multimodal fusion and agentic operations<\/p>7<\/p> Federated and privacy-preserving learning<\/p>7<\/p> Physical AI and robotics (within red lines)<\/p>7<\/p> MLOps<\/p>7<\/p> Evaluation, model risk and AI governance<\/p>10<\/p> O-RAN architecture and open interfaces<\/p>7<\/p> Fronthaul (7.2x split) and transport<\/p>8<\/p> RAN intelligent controllers, xApps and rApps<\/p>8<\/p> SMO, O-Cloud and accelerated L1<\/p>8<\/p> AI-RAN: shared accelerated infrastructure<\/p>7<\/p> AI\/ML in the air interface and network management<\/p>8<\/p> Energy saving and efficiency<\/p>6<\/p> Testing, integration and security<\/p>8<\/p> 01Join<\/b>Identity, attestation quote, signed policy.<\/p>02Admit<\/b>Admitted for a stated scope, nothing wider.<\/p>03Describe<\/b>What, where, how and by whom, with calibration.<\/p>04Time<\/b>One clock across the grid, with its error bound.<\/p>05Observe<\/b>Every value with quality and provenance.<\/p>06Qualify<\/b>Tested against the specification, state on record.<\/p>07Federate<\/b>Signed exchange across grids and trust domains.<\/p>08Orchestrate<\/b>Software and configuration by signed plan.<\/p> <\/section> 03<\/b>On the grid<\/p> Every site joins one observing grid.<\/h2>The open networks on the grid today, over real relief and the geodesic cells we count them into, filtered to the space domain this area serves. A site built here enrols into the same grid.<\/p> <\/section> 04<\/b>In the field<\/p> Where this runs, sector by sector.<\/h2> 3 deployment scenarios from the sector research that rely on physical ai.<\/p> Scientific Research-infrastructure gap-filling nodes<\/h3>Observatory-as-a-service for research infrastructures that must extend coverage under their own quality rules.<\/a>Transport Non-federal automated weather observing for small airports<\/h3>Aviation-grade stations under the civil-aviation authority’s advisory circular; pricing not researched.<\/a>Defence-adjacent (civil dual-use) Research and development route through the defence science programme<\/h3>A science-and-technology programme on all-domain situational awareness.<\/a> <\/section> 05<\/b>Open and enterprise<\/p> Open by default. Enterprise by contract.<\/h2> The open counterpart lives on the main site for anyone to read and run. The enterprise service is designed, deployed and operated with you, under contract.<\/p> Open, on the main site<\/p>Benchmark methods<\/li>Pilot reports, published either way<\/li><\/ul>Enterprise, on this site<\/p>Research pilots<\/li>Prototype engineering<\/li><\/ul> <\/section> 06<\/b>The rest of the line<\/p> Frontier labs, area by area.<\/h2> Frontier labs Pilots<\/h3>New technology, a real site, a written plan.<\/a>Frontier labs Benchmarks<\/h3>Open data, one method, comparable results.<\/a>Frontier labs AI-RAN and 6G<\/h3>Sensing and communication on shared compute.<\/a>Frontier labs Space and NTN<\/h3>Direct-to-device and new payloads, tested.<\/a>Frontier labs Into the product<\/h3>From a result to a qualified release.<\/a> <\/section> Bring us the site.<\/h2>Survey, design, deployment and operation for physical ai. The form names who receives your details.<\/p> Talk to us<\/a>contact@observatory.global<\/a> <\/section> <\/main>
AI systems<\/p>Inspection robots for sites and facilities<\/h3>Ground robots that read gauges, scan thermals and check equipment in edge sites and plants.<\/p>We design, integrate and operate.<\/p>ISO 3691-4 (driverless industrial trucks) \u00b7 ISO 13482 (personal care robots)<\/p><\/article>AI systems<\/p>Collaborative robots<\/h3>Robots working alongside people with force and speed limits.<\/p>We design and integrate.<\/p>ISO 10218-2 (industrial robot systems) \u00b7 ISO\/TS 15066 (collaborative robots)<\/p><\/article>AI systems<\/p>Functional safety of AI-enabled machines<\/h3>Safety lifecycle methods applied when learned components influence machine behaviour.<\/p>We design and support.<\/p>IEC 61508 \u00b7 ISO 13849-1 \u00b7 ISO\/IEC TR 5469<\/p><\/article>Frontier<\/b> \u00b7 AI systems<\/p>Simulation and sim-to-real transfer<\/h3>Training and testing robot behaviour in simulation, then validating on real hardware.<\/p>We design and integrate.<\/p>ISO\/IEC 30173 (digital twin concepts)<\/p><\/article>Frontier<\/b> \u00b7 AI systems<\/p>Embodied foundation models<\/h3>Large models that map perception and instructions to robot actions, an active research area.<\/p>We design.<\/p>ISO\/IEC TR 5469<\/p><\/article>AI systems<\/p>Red lines: no weapons, targeting or unlawful tracking<\/h3>Physical AI work excludes weapons, target selection and tracking of people without lawful authority and consent.<\/p>We design and operate.<\/p>OECD AI Principles \u00b7 UN Guiding Principles on Business and Human Rights<\/p><\/article>AI systems<\/p>Performance evaluation<\/h3>Task metrics, test design and reporting that show how a model performs and where it does not.<\/p>We design and operate.<\/p>ISO\/IEC TS 4213 (classification performance assessment) \u00b7 ISO\/IEC 25059 (quality model for AI systems)<\/p><\/article>AI systems<\/p>Robustness testing<\/h3>Testing under noise, shift, missing inputs and edge cases.<\/p>We design and operate.<\/p>ISO\/IEC TR 24029-1 \u00b7 ISO\/IEC 24029-2 (robustness of neural networks)<\/p><\/article> <\/section> 02<\/b>Architecture<\/p> Where it sits, and what it speaks.<\/h2> Physical AI draws on 4 domains and 32 layers of the spectrum; the highlighted layers carry this area. It speaks 3 of the protocol’s 8 core functions.<\/p> Edge inference, model serving and optimisation<\/p>10<\/p> Foundation models for Earth observation and geospatial<\/p>9<\/p> Time-series and sensor AI<\/p>8<\/p> Multimodal fusion and agentic operations<\/p>7<\/p> Federated and privacy-preserving learning<\/p>7<\/p> Physical AI and robotics (within red lines)<\/p>7<\/p> MLOps<\/p>7<\/p> Evaluation, model risk and AI governance<\/p>10<\/p> O-RAN architecture and open interfaces<\/p>7<\/p> Fronthaul (7.2x split) and transport<\/p>8<\/p> RAN intelligent controllers, xApps and rApps<\/p>8<\/p> SMO, O-Cloud and accelerated L1<\/p>8<\/p> AI-RAN: shared accelerated infrastructure<\/p>7<\/p> AI\/ML in the air interface and network management<\/p>8<\/p> Energy saving and efficiency<\/p>6<\/p> Testing, integration and security<\/p>8<\/p> 01Join<\/b>Identity, attestation quote, signed policy.<\/p>02Admit<\/b>Admitted for a stated scope, nothing wider.<\/p>03Describe<\/b>What, where, how and by whom, with calibration.<\/p>04Time<\/b>One clock across the grid, with its error bound.<\/p>05Observe<\/b>Every value with quality and provenance.<\/p>06Qualify<\/b>Tested against the specification, state on record.<\/p>07Federate<\/b>Signed exchange across grids and trust domains.<\/p>08Orchestrate<\/b>Software and configuration by signed plan.<\/p> <\/section> 03<\/b>On the grid<\/p> Every site joins one observing grid.<\/h2>The open networks on the grid today, over real relief and the geodesic cells we count them into, filtered to the space domain this area serves. A site built here enrols into the same grid.<\/p> <\/section> 04<\/b>In the field<\/p> Where this runs, sector by sector.<\/h2> 3 deployment scenarios from the sector research that rely on physical ai.<\/p> Scientific Research-infrastructure gap-filling nodes<\/h3>Observatory-as-a-service for research infrastructures that must extend coverage under their own quality rules.<\/a>Transport Non-federal automated weather observing for small airports<\/h3>Aviation-grade stations under the civil-aviation authority’s advisory circular; pricing not researched.<\/a>Defence-adjacent (civil dual-use) Research and development route through the defence science programme<\/h3>A science-and-technology programme on all-domain situational awareness.<\/a> <\/section> 05<\/b>Open and enterprise<\/p> Open by default. Enterprise by contract.<\/h2> The open counterpart lives on the main site for anyone to read and run. The enterprise service is designed, deployed and operated with you, under contract.<\/p> Open, on the main site<\/p>Benchmark methods<\/li>Pilot reports, published either way<\/li><\/ul>Enterprise, on this site<\/p>Research pilots<\/li>Prototype engineering<\/li><\/ul> <\/section> 06<\/b>The rest of the line<\/p> Frontier labs, area by area.<\/h2> Frontier labs Pilots<\/h3>New technology, a real site, a written plan.<\/a>Frontier labs Benchmarks<\/h3>Open data, one method, comparable results.<\/a>Frontier labs AI-RAN and 6G<\/h3>Sensing and communication on shared compute.<\/a>Frontier labs Space and NTN<\/h3>Direct-to-device and new payloads, tested.<\/a>Frontier labs Into the product<\/h3>From a result to a qualified release.<\/a> <\/section> Bring us the site.<\/h2>Survey, design, deployment and operation for physical ai. The form names who receives your details.<\/p> Talk to us<\/a>contact@observatory.global<\/a> <\/section> <\/main>
AI systems<\/p>Collaborative robots<\/h3>Robots working alongside people with force and speed limits.<\/p>We design and integrate.<\/p>ISO 10218-2 (industrial robot systems) \u00b7 ISO\/TS 15066 (collaborative robots)<\/p><\/article>AI systems<\/p>Functional safety of AI-enabled machines<\/h3>Safety lifecycle methods applied when learned components influence machine behaviour.<\/p>We design and support.<\/p>IEC 61508 \u00b7 ISO 13849-1 \u00b7 ISO\/IEC TR 5469<\/p><\/article>Frontier<\/b> \u00b7 AI systems<\/p>Simulation and sim-to-real transfer<\/h3>Training and testing robot behaviour in simulation, then validating on real hardware.<\/p>We design and integrate.<\/p>ISO\/IEC 30173 (digital twin concepts)<\/p><\/article>Frontier<\/b> \u00b7 AI systems<\/p>Embodied foundation models<\/h3>Large models that map perception and instructions to robot actions, an active research area.<\/p>We design.<\/p>ISO\/IEC TR 5469<\/p><\/article>AI systems<\/p>Red lines: no weapons, targeting or unlawful tracking<\/h3>Physical AI work excludes weapons, target selection and tracking of people without lawful authority and consent.<\/p>We design and operate.<\/p>OECD AI Principles \u00b7 UN Guiding Principles on Business and Human Rights<\/p><\/article>AI systems<\/p>Performance evaluation<\/h3>Task metrics, test design and reporting that show how a model performs and where it does not.<\/p>We design and operate.<\/p>ISO\/IEC TS 4213 (classification performance assessment) \u00b7 ISO\/IEC 25059 (quality model for AI systems)<\/p><\/article>AI systems<\/p>Robustness testing<\/h3>Testing under noise, shift, missing inputs and edge cases.<\/p>We design and operate.<\/p>ISO\/IEC TR 24029-1 \u00b7 ISO\/IEC 24029-2 (robustness of neural networks)<\/p><\/article> <\/section> 02<\/b>Architecture<\/p> Where it sits, and what it speaks.<\/h2> Physical AI draws on 4 domains and 32 layers of the spectrum; the highlighted layers carry this area. It speaks 3 of the protocol’s 8 core functions.<\/p> Edge inference, model serving and optimisation<\/p>10<\/p> Foundation models for Earth observation and geospatial<\/p>9<\/p> Time-series and sensor AI<\/p>8<\/p> Multimodal fusion and agentic operations<\/p>7<\/p> Federated and privacy-preserving learning<\/p>7<\/p> Physical AI and robotics (within red lines)<\/p>7<\/p> MLOps<\/p>7<\/p> Evaluation, model risk and AI governance<\/p>10<\/p> O-RAN architecture and open interfaces<\/p>7<\/p> Fronthaul (7.2x split) and transport<\/p>8<\/p> RAN intelligent controllers, xApps and rApps<\/p>8<\/p> SMO, O-Cloud and accelerated L1<\/p>8<\/p> AI-RAN: shared accelerated infrastructure<\/p>7<\/p> AI\/ML in the air interface and network management<\/p>8<\/p> Energy saving and efficiency<\/p>6<\/p> Testing, integration and security<\/p>8<\/p> 01Join<\/b>Identity, attestation quote, signed policy.<\/p>02Admit<\/b>Admitted for a stated scope, nothing wider.<\/p>03Describe<\/b>What, where, how and by whom, with calibration.<\/p>04Time<\/b>One clock across the grid, with its error bound.<\/p>05Observe<\/b>Every value with quality and provenance.<\/p>06Qualify<\/b>Tested against the specification, state on record.<\/p>07Federate<\/b>Signed exchange across grids and trust domains.<\/p>08Orchestrate<\/b>Software and configuration by signed plan.<\/p> <\/section> 03<\/b>On the grid<\/p> Every site joins one observing grid.<\/h2>The open networks on the grid today, over real relief and the geodesic cells we count them into, filtered to the space domain this area serves. A site built here enrols into the same grid.<\/p> <\/section> 04<\/b>In the field<\/p> Where this runs, sector by sector.<\/h2> 3 deployment scenarios from the sector research that rely on physical ai.<\/p> Scientific Research-infrastructure gap-filling nodes<\/h3>Observatory-as-a-service for research infrastructures that must extend coverage under their own quality rules.<\/a>Transport Non-federal automated weather observing for small airports<\/h3>Aviation-grade stations under the civil-aviation authority’s advisory circular; pricing not researched.<\/a>Defence-adjacent (civil dual-use) Research and development route through the defence science programme<\/h3>A science-and-technology programme on all-domain situational awareness.<\/a> <\/section> 05<\/b>Open and enterprise<\/p> Open by default. Enterprise by contract.<\/h2> The open counterpart lives on the main site for anyone to read and run. The enterprise service is designed, deployed and operated with you, under contract.<\/p> Open, on the main site<\/p>Benchmark methods<\/li>Pilot reports, published either way<\/li><\/ul>Enterprise, on this site<\/p>Research pilots<\/li>Prototype engineering<\/li><\/ul> <\/section> 06<\/b>The rest of the line<\/p> Frontier labs, area by area.<\/h2> Frontier labs Pilots<\/h3>New technology, a real site, a written plan.<\/a>Frontier labs Benchmarks<\/h3>Open data, one method, comparable results.<\/a>Frontier labs AI-RAN and 6G<\/h3>Sensing and communication on shared compute.<\/a>Frontier labs Space and NTN<\/h3>Direct-to-device and new payloads, tested.<\/a>Frontier labs Into the product<\/h3>From a result to a qualified release.<\/a> <\/section> Bring us the site.<\/h2>Survey, design, deployment and operation for physical ai. The form names who receives your details.<\/p> Talk to us<\/a>contact@observatory.global<\/a> <\/section> <\/main>
AI systems<\/p>Functional safety of AI-enabled machines<\/h3>Safety lifecycle methods applied when learned components influence machine behaviour.<\/p>We design and support.<\/p>IEC 61508 \u00b7 ISO 13849-1 \u00b7 ISO\/IEC TR 5469<\/p><\/article>Frontier<\/b> \u00b7 AI systems<\/p>Simulation and sim-to-real transfer<\/h3>Training and testing robot behaviour in simulation, then validating on real hardware.<\/p>We design and integrate.<\/p>ISO\/IEC 30173 (digital twin concepts)<\/p><\/article>Frontier<\/b> \u00b7 AI systems<\/p>Embodied foundation models<\/h3>Large models that map perception and instructions to robot actions, an active research area.<\/p>We design.<\/p>ISO\/IEC TR 5469<\/p><\/article>AI systems<\/p>Red lines: no weapons, targeting or unlawful tracking<\/h3>Physical AI work excludes weapons, target selection and tracking of people without lawful authority and consent.<\/p>We design and operate.<\/p>OECD AI Principles \u00b7 UN Guiding Principles on Business and Human Rights<\/p><\/article>AI systems<\/p>Performance evaluation<\/h3>Task metrics, test design and reporting that show how a model performs and where it does not.<\/p>We design and operate.<\/p>ISO\/IEC TS 4213 (classification performance assessment) \u00b7 ISO\/IEC 25059 (quality model for AI systems)<\/p><\/article>AI systems<\/p>Robustness testing<\/h3>Testing under noise, shift, missing inputs and edge cases.<\/p>We design and operate.<\/p>ISO\/IEC TR 24029-1 \u00b7 ISO\/IEC 24029-2 (robustness of neural networks)<\/p><\/article> <\/section> 02<\/b>Architecture<\/p> Where it sits, and what it speaks.<\/h2> Physical AI draws on 4 domains and 32 layers of the spectrum; the highlighted layers carry this area. It speaks 3 of the protocol’s 8 core functions.<\/p> Edge inference, model serving and optimisation<\/p>10<\/p> Foundation models for Earth observation and geospatial<\/p>9<\/p> Time-series and sensor AI<\/p>8<\/p> Multimodal fusion and agentic operations<\/p>7<\/p> Federated and privacy-preserving learning<\/p>7<\/p> Physical AI and robotics (within red lines)<\/p>7<\/p> MLOps<\/p>7<\/p> Evaluation, model risk and AI governance<\/p>10<\/p> O-RAN architecture and open interfaces<\/p>7<\/p> Fronthaul (7.2x split) and transport<\/p>8<\/p> RAN intelligent controllers, xApps and rApps<\/p>8<\/p> SMO, O-Cloud and accelerated L1<\/p>8<\/p> AI-RAN: shared accelerated infrastructure<\/p>7<\/p> AI\/ML in the air interface and network management<\/p>8<\/p> Energy saving and efficiency<\/p>6<\/p> Testing, integration and security<\/p>8<\/p> 01Join<\/b>Identity, attestation quote, signed policy.<\/p>02Admit<\/b>Admitted for a stated scope, nothing wider.<\/p>03Describe<\/b>What, where, how and by whom, with calibration.<\/p>04Time<\/b>One clock across the grid, with its error bound.<\/p>05Observe<\/b>Every value with quality and provenance.<\/p>06Qualify<\/b>Tested against the specification, state on record.<\/p>07Federate<\/b>Signed exchange across grids and trust domains.<\/p>08Orchestrate<\/b>Software and configuration by signed plan.<\/p> <\/section> 03<\/b>On the grid<\/p> Every site joins one observing grid.<\/h2>The open networks on the grid today, over real relief and the geodesic cells we count them into, filtered to the space domain this area serves. A site built here enrols into the same grid.<\/p> <\/section> 04<\/b>In the field<\/p> Where this runs, sector by sector.<\/h2> 3 deployment scenarios from the sector research that rely on physical ai.<\/p> Scientific Research-infrastructure gap-filling nodes<\/h3>Observatory-as-a-service for research infrastructures that must extend coverage under their own quality rules.<\/a>Transport Non-federal automated weather observing for small airports<\/h3>Aviation-grade stations under the civil-aviation authority’s advisory circular; pricing not researched.<\/a>Defence-adjacent (civil dual-use) Research and development route through the defence science programme<\/h3>A science-and-technology programme on all-domain situational awareness.<\/a> <\/section> 05<\/b>Open and enterprise<\/p> Open by default. Enterprise by contract.<\/h2> The open counterpart lives on the main site for anyone to read and run. The enterprise service is designed, deployed and operated with you, under contract.<\/p> Open, on the main site<\/p>Benchmark methods<\/li>Pilot reports, published either way<\/li><\/ul>Enterprise, on this site<\/p>Research pilots<\/li>Prototype engineering<\/li><\/ul> <\/section> 06<\/b>The rest of the line<\/p> Frontier labs, area by area.<\/h2> Frontier labs Pilots<\/h3>New technology, a real site, a written plan.<\/a>Frontier labs Benchmarks<\/h3>Open data, one method, comparable results.<\/a>Frontier labs AI-RAN and 6G<\/h3>Sensing and communication on shared compute.<\/a>Frontier labs Space and NTN<\/h3>Direct-to-device and new payloads, tested.<\/a>Frontier labs Into the product<\/h3>From a result to a qualified release.<\/a> <\/section> Bring us the site.<\/h2>Survey, design, deployment and operation for physical ai. The form names who receives your details.<\/p> Talk to us<\/a>contact@observatory.global<\/a> <\/section> <\/main>
Frontier<\/b> \u00b7 AI systems<\/p>Simulation and sim-to-real transfer<\/h3>Training and testing robot behaviour in simulation, then validating on real hardware.<\/p>We design and integrate.<\/p>ISO\/IEC 30173 (digital twin concepts)<\/p><\/article>Frontier<\/b> \u00b7 AI systems<\/p>Embodied foundation models<\/h3>Large models that map perception and instructions to robot actions, an active research area.<\/p>We design.<\/p>ISO\/IEC TR 5469<\/p><\/article>AI systems<\/p>Red lines: no weapons, targeting or unlawful tracking<\/h3>Physical AI work excludes weapons, target selection and tracking of people without lawful authority and consent.<\/p>We design and operate.<\/p>OECD AI Principles \u00b7 UN Guiding Principles on Business and Human Rights<\/p><\/article>AI systems<\/p>Performance evaluation<\/h3>Task metrics, test design and reporting that show how a model performs and where it does not.<\/p>We design and operate.<\/p>ISO\/IEC TS 4213 (classification performance assessment) \u00b7 ISO\/IEC 25059 (quality model for AI systems)<\/p><\/article>AI systems<\/p>Robustness testing<\/h3>Testing under noise, shift, missing inputs and edge cases.<\/p>We design and operate.<\/p>ISO\/IEC TR 24029-1 \u00b7 ISO\/IEC 24029-2 (robustness of neural networks)<\/p><\/article> <\/section> 02<\/b>Architecture<\/p> Where it sits, and what it speaks.<\/h2> Physical AI draws on 4 domains and 32 layers of the spectrum; the highlighted layers carry this area. It speaks 3 of the protocol’s 8 core functions.<\/p> Edge inference, model serving and optimisation<\/p>10<\/p> Foundation models for Earth observation and geospatial<\/p>9<\/p> Time-series and sensor AI<\/p>8<\/p> Multimodal fusion and agentic operations<\/p>7<\/p> Federated and privacy-preserving learning<\/p>7<\/p> Physical AI and robotics (within red lines)<\/p>7<\/p> MLOps<\/p>7<\/p> Evaluation, model risk and AI governance<\/p>10<\/p> O-RAN architecture and open interfaces<\/p>7<\/p> Fronthaul (7.2x split) and transport<\/p>8<\/p> RAN intelligent controllers, xApps and rApps<\/p>8<\/p> SMO, O-Cloud and accelerated L1<\/p>8<\/p> AI-RAN: shared accelerated infrastructure<\/p>7<\/p> AI\/ML in the air interface and network management<\/p>8<\/p> Energy saving and efficiency<\/p>6<\/p> Testing, integration and security<\/p>8<\/p> 01Join<\/b>Identity, attestation quote, signed policy.<\/p>02Admit<\/b>Admitted for a stated scope, nothing wider.<\/p>03Describe<\/b>What, where, how and by whom, with calibration.<\/p>04Time<\/b>One clock across the grid, with its error bound.<\/p>05Observe<\/b>Every value with quality and provenance.<\/p>06Qualify<\/b>Tested against the specification, state on record.<\/p>07Federate<\/b>Signed exchange across grids and trust domains.<\/p>08Orchestrate<\/b>Software and configuration by signed plan.<\/p> <\/section> 03<\/b>On the grid<\/p> Every site joins one observing grid.<\/h2>The open networks on the grid today, over real relief and the geodesic cells we count them into, filtered to the space domain this area serves. A site built here enrols into the same grid.<\/p> <\/section> 04<\/b>In the field<\/p> Where this runs, sector by sector.<\/h2> 3 deployment scenarios from the sector research that rely on physical ai.<\/p> Scientific Research-infrastructure gap-filling nodes<\/h3>Observatory-as-a-service for research infrastructures that must extend coverage under their own quality rules.<\/a>Transport Non-federal automated weather observing for small airports<\/h3>Aviation-grade stations under the civil-aviation authority’s advisory circular; pricing not researched.<\/a>Defence-adjacent (civil dual-use) Research and development route through the defence science programme<\/h3>A science-and-technology programme on all-domain situational awareness.<\/a> <\/section> 05<\/b>Open and enterprise<\/p> Open by default. Enterprise by contract.<\/h2> The open counterpart lives on the main site for anyone to read and run. The enterprise service is designed, deployed and operated with you, under contract.<\/p> Open, on the main site<\/p>Benchmark methods<\/li>Pilot reports, published either way<\/li><\/ul>Enterprise, on this site<\/p>Research pilots<\/li>Prototype engineering<\/li><\/ul> <\/section> 06<\/b>The rest of the line<\/p> Frontier labs, area by area.<\/h2> Frontier labs Pilots<\/h3>New technology, a real site, a written plan.<\/a>Frontier labs Benchmarks<\/h3>Open data, one method, comparable results.<\/a>Frontier labs AI-RAN and 6G<\/h3>Sensing and communication on shared compute.<\/a>Frontier labs Space and NTN<\/h3>Direct-to-device and new payloads, tested.<\/a>Frontier labs Into the product<\/h3>From a result to a qualified release.<\/a> <\/section> Bring us the site.<\/h2>Survey, design, deployment and operation for physical ai. The form names who receives your details.<\/p> Talk to us<\/a>contact@observatory.global<\/a> <\/section> <\/main>
Frontier<\/b> \u00b7 AI systems<\/p>Embodied foundation models<\/h3>Large models that map perception and instructions to robot actions, an active research area.<\/p>We design.<\/p>ISO\/IEC TR 5469<\/p><\/article>AI systems<\/p>Red lines: no weapons, targeting or unlawful tracking<\/h3>Physical AI work excludes weapons, target selection and tracking of people without lawful authority and consent.<\/p>We design and operate.<\/p>OECD AI Principles \u00b7 UN Guiding Principles on Business and Human Rights<\/p><\/article>AI systems<\/p>Performance evaluation<\/h3>Task metrics, test design and reporting that show how a model performs and where it does not.<\/p>We design and operate.<\/p>ISO\/IEC TS 4213 (classification performance assessment) \u00b7 ISO\/IEC 25059 (quality model for AI systems)<\/p><\/article>AI systems<\/p>Robustness testing<\/h3>Testing under noise, shift, missing inputs and edge cases.<\/p>We design and operate.<\/p>ISO\/IEC TR 24029-1 \u00b7 ISO\/IEC 24029-2 (robustness of neural networks)<\/p><\/article> <\/section> 02<\/b>Architecture<\/p> Where it sits, and what it speaks.<\/h2> Physical AI draws on 4 domains and 32 layers of the spectrum; the highlighted layers carry this area. It speaks 3 of the protocol’s 8 core functions.<\/p> Edge inference, model serving and optimisation<\/p>10<\/p> Foundation models for Earth observation and geospatial<\/p>9<\/p> Time-series and sensor AI<\/p>8<\/p> Multimodal fusion and agentic operations<\/p>7<\/p> Federated and privacy-preserving learning<\/p>7<\/p> Physical AI and robotics (within red lines)<\/p>7<\/p> MLOps<\/p>7<\/p> Evaluation, model risk and AI governance<\/p>10<\/p> O-RAN architecture and open interfaces<\/p>7<\/p> Fronthaul (7.2x split) and transport<\/p>8<\/p> RAN intelligent controllers, xApps and rApps<\/p>8<\/p> SMO, O-Cloud and accelerated L1<\/p>8<\/p> AI-RAN: shared accelerated infrastructure<\/p>7<\/p> AI\/ML in the air interface and network management<\/p>8<\/p> Energy saving and efficiency<\/p>6<\/p> Testing, integration and security<\/p>8<\/p> 01Join<\/b>Identity, attestation quote, signed policy.<\/p>02Admit<\/b>Admitted for a stated scope, nothing wider.<\/p>03Describe<\/b>What, where, how and by whom, with calibration.<\/p>04Time<\/b>One clock across the grid, with its error bound.<\/p>05Observe<\/b>Every value with quality and provenance.<\/p>06Qualify<\/b>Tested against the specification, state on record.<\/p>07Federate<\/b>Signed exchange across grids and trust domains.<\/p>08Orchestrate<\/b>Software and configuration by signed plan.<\/p> <\/section> 03<\/b>On the grid<\/p> Every site joins one observing grid.<\/h2>The open networks on the grid today, over real relief and the geodesic cells we count them into, filtered to the space domain this area serves. A site built here enrols into the same grid.<\/p> <\/section> 04<\/b>In the field<\/p> Where this runs, sector by sector.<\/h2> 3 deployment scenarios from the sector research that rely on physical ai.<\/p> Scientific Research-infrastructure gap-filling nodes<\/h3>Observatory-as-a-service for research infrastructures that must extend coverage under their own quality rules.<\/a>Transport Non-federal automated weather observing for small airports<\/h3>Aviation-grade stations under the civil-aviation authority’s advisory circular; pricing not researched.<\/a>Defence-adjacent (civil dual-use) Research and development route through the defence science programme<\/h3>A science-and-technology programme on all-domain situational awareness.<\/a> <\/section> 05<\/b>Open and enterprise<\/p> Open by default. Enterprise by contract.<\/h2> The open counterpart lives on the main site for anyone to read and run. The enterprise service is designed, deployed and operated with you, under contract.<\/p> Open, on the main site<\/p>Benchmark methods<\/li>Pilot reports, published either way<\/li><\/ul>Enterprise, on this site<\/p>Research pilots<\/li>Prototype engineering<\/li><\/ul> <\/section> 06<\/b>The rest of the line<\/p> Frontier labs, area by area.<\/h2> Frontier labs Pilots<\/h3>New technology, a real site, a written plan.<\/a>Frontier labs Benchmarks<\/h3>Open data, one method, comparable results.<\/a>Frontier labs AI-RAN and 6G<\/h3>Sensing and communication on shared compute.<\/a>Frontier labs Space and NTN<\/h3>Direct-to-device and new payloads, tested.<\/a>Frontier labs Into the product<\/h3>From a result to a qualified release.<\/a> <\/section> Bring us the site.<\/h2>Survey, design, deployment and operation for physical ai. The form names who receives your details.<\/p> Talk to us<\/a>contact@observatory.global<\/a> <\/section> <\/main>
AI systems<\/p>Red lines: no weapons, targeting or unlawful tracking<\/h3>Physical AI work excludes weapons, target selection and tracking of people without lawful authority and consent.<\/p>We design and operate.<\/p>OECD AI Principles \u00b7 UN Guiding Principles on Business and Human Rights<\/p><\/article>AI systems<\/p>Performance evaluation<\/h3>Task metrics, test design and reporting that show how a model performs and where it does not.<\/p>We design and operate.<\/p>ISO\/IEC TS 4213 (classification performance assessment) \u00b7 ISO\/IEC 25059 (quality model for AI systems)<\/p><\/article>AI systems<\/p>Robustness testing<\/h3>Testing under noise, shift, missing inputs and edge cases.<\/p>We design and operate.<\/p>ISO\/IEC TR 24029-1 \u00b7 ISO\/IEC 24029-2 (robustness of neural networks)<\/p><\/article> <\/section> 02<\/b>Architecture<\/p> Where it sits, and what it speaks.<\/h2> Physical AI draws on 4 domains and 32 layers of the spectrum; the highlighted layers carry this area. It speaks 3 of the protocol’s 8 core functions.<\/p> Edge inference, model serving and optimisation<\/p>10<\/p> Foundation models for Earth observation and geospatial<\/p>9<\/p> Time-series and sensor AI<\/p>8<\/p> Multimodal fusion and agentic operations<\/p>7<\/p> Federated and privacy-preserving learning<\/p>7<\/p> Physical AI and robotics (within red lines)<\/p>7<\/p> MLOps<\/p>7<\/p> Evaluation, model risk and AI governance<\/p>10<\/p> O-RAN architecture and open interfaces<\/p>7<\/p> Fronthaul (7.2x split) and transport<\/p>8<\/p> RAN intelligent controllers, xApps and rApps<\/p>8<\/p> SMO, O-Cloud and accelerated L1<\/p>8<\/p> AI-RAN: shared accelerated infrastructure<\/p>7<\/p> AI\/ML in the air interface and network management<\/p>8<\/p> Energy saving and efficiency<\/p>6<\/p> Testing, integration and security<\/p>8<\/p> 01Join<\/b>Identity, attestation quote, signed policy.<\/p>02Admit<\/b>Admitted for a stated scope, nothing wider.<\/p>03Describe<\/b>What, where, how and by whom, with calibration.<\/p>04Time<\/b>One clock across the grid, with its error bound.<\/p>05Observe<\/b>Every value with quality and provenance.<\/p>06Qualify<\/b>Tested against the specification, state on record.<\/p>07Federate<\/b>Signed exchange across grids and trust domains.<\/p>08Orchestrate<\/b>Software and configuration by signed plan.<\/p> <\/section> 03<\/b>On the grid<\/p> Every site joins one observing grid.<\/h2>The open networks on the grid today, over real relief and the geodesic cells we count them into, filtered to the space domain this area serves. A site built here enrols into the same grid.<\/p> <\/section> 04<\/b>In the field<\/p> Where this runs, sector by sector.<\/h2> 3 deployment scenarios from the sector research that rely on physical ai.<\/p> Scientific Research-infrastructure gap-filling nodes<\/h3>Observatory-as-a-service for research infrastructures that must extend coverage under their own quality rules.<\/a>Transport Non-federal automated weather observing for small airports<\/h3>Aviation-grade stations under the civil-aviation authority’s advisory circular; pricing not researched.<\/a>Defence-adjacent (civil dual-use) Research and development route through the defence science programme<\/h3>A science-and-technology programme on all-domain situational awareness.<\/a> <\/section> 05<\/b>Open and enterprise<\/p> Open by default. Enterprise by contract.<\/h2> The open counterpart lives on the main site for anyone to read and run. The enterprise service is designed, deployed and operated with you, under contract.<\/p> Open, on the main site<\/p>Benchmark methods<\/li>Pilot reports, published either way<\/li><\/ul>Enterprise, on this site<\/p>Research pilots<\/li>Prototype engineering<\/li><\/ul> <\/section> 06<\/b>The rest of the line<\/p> Frontier labs, area by area.<\/h2> Frontier labs Pilots<\/h3>New technology, a real site, a written plan.<\/a>Frontier labs Benchmarks<\/h3>Open data, one method, comparable results.<\/a>Frontier labs AI-RAN and 6G<\/h3>Sensing and communication on shared compute.<\/a>Frontier labs Space and NTN<\/h3>Direct-to-device and new payloads, tested.<\/a>Frontier labs Into the product<\/h3>From a result to a qualified release.<\/a> <\/section> Bring us the site.<\/h2>Survey, design, deployment and operation for physical ai. The form names who receives your details.<\/p> Talk to us<\/a>contact@observatory.global<\/a> <\/section> <\/main>
AI systems<\/p>Performance evaluation<\/h3>Task metrics, test design and reporting that show how a model performs and where it does not.<\/p>We design and operate.<\/p>ISO\/IEC TS 4213 (classification performance assessment) \u00b7 ISO\/IEC 25059 (quality model for AI systems)<\/p><\/article>AI systems<\/p>Robustness testing<\/h3>Testing under noise, shift, missing inputs and edge cases.<\/p>We design and operate.<\/p>ISO\/IEC TR 24029-1 \u00b7 ISO\/IEC 24029-2 (robustness of neural networks)<\/p><\/article> <\/section> 02<\/b>Architecture<\/p> Where it sits, and what it speaks.<\/h2> Physical AI draws on 4 domains and 32 layers of the spectrum; the highlighted layers carry this area. It speaks 3 of the protocol’s 8 core functions.<\/p> Edge inference, model serving and optimisation<\/p>10<\/p> Foundation models for Earth observation and geospatial<\/p>9<\/p> Time-series and sensor AI<\/p>8<\/p> Multimodal fusion and agentic operations<\/p>7<\/p> Federated and privacy-preserving learning<\/p>7<\/p> Physical AI and robotics (within red lines)<\/p>7<\/p> MLOps<\/p>7<\/p> Evaluation, model risk and AI governance<\/p>10<\/p> O-RAN architecture and open interfaces<\/p>7<\/p> Fronthaul (7.2x split) and transport<\/p>8<\/p> RAN intelligent controllers, xApps and rApps<\/p>8<\/p> SMO, O-Cloud and accelerated L1<\/p>8<\/p> AI-RAN: shared accelerated infrastructure<\/p>7<\/p> AI\/ML in the air interface and network management<\/p>8<\/p> Energy saving and efficiency<\/p>6<\/p> Testing, integration and security<\/p>8<\/p> 01Join<\/b>Identity, attestation quote, signed policy.<\/p>02Admit<\/b>Admitted for a stated scope, nothing wider.<\/p>03Describe<\/b>What, where, how and by whom, with calibration.<\/p>04Time<\/b>One clock across the grid, with its error bound.<\/p>05Observe<\/b>Every value with quality and provenance.<\/p>06Qualify<\/b>Tested against the specification, state on record.<\/p>07Federate<\/b>Signed exchange across grids and trust domains.<\/p>08Orchestrate<\/b>Software and configuration by signed plan.<\/p> <\/section> 03<\/b>On the grid<\/p> Every site joins one observing grid.<\/h2>The open networks on the grid today, over real relief and the geodesic cells we count them into, filtered to the space domain this area serves. A site built here enrols into the same grid.<\/p> <\/section> 04<\/b>In the field<\/p> Where this runs, sector by sector.<\/h2> 3 deployment scenarios from the sector research that rely on physical ai.<\/p> Scientific Research-infrastructure gap-filling nodes<\/h3>Observatory-as-a-service for research infrastructures that must extend coverage under their own quality rules.<\/a>Transport Non-federal automated weather observing for small airports<\/h3>Aviation-grade stations under the civil-aviation authority’s advisory circular; pricing not researched.<\/a>Defence-adjacent (civil dual-use) Research and development route through the defence science programme<\/h3>A science-and-technology programme on all-domain situational awareness.<\/a> <\/section> 05<\/b>Open and enterprise<\/p> Open by default. Enterprise by contract.<\/h2> The open counterpart lives on the main site for anyone to read and run. The enterprise service is designed, deployed and operated with you, under contract.<\/p> Open, on the main site<\/p>Benchmark methods<\/li>Pilot reports, published either way<\/li><\/ul>Enterprise, on this site<\/p>Research pilots<\/li>Prototype engineering<\/li><\/ul> <\/section> 06<\/b>The rest of the line<\/p> Frontier labs, area by area.<\/h2> Frontier labs Pilots<\/h3>New technology, a real site, a written plan.<\/a>Frontier labs Benchmarks<\/h3>Open data, one method, comparable results.<\/a>Frontier labs AI-RAN and 6G<\/h3>Sensing and communication on shared compute.<\/a>Frontier labs Space and NTN<\/h3>Direct-to-device and new payloads, tested.<\/a>Frontier labs Into the product<\/h3>From a result to a qualified release.<\/a> <\/section> Bring us the site.<\/h2>Survey, design, deployment and operation for physical ai. The form names who receives your details.<\/p> Talk to us<\/a>contact@observatory.global<\/a> <\/section> <\/main>
AI systems<\/p>Robustness testing<\/h3>Testing under noise, shift, missing inputs and edge cases.<\/p>We design and operate.<\/p>ISO\/IEC TR 24029-1 \u00b7 ISO\/IEC 24029-2 (robustness of neural networks)<\/p><\/article> <\/section> 02<\/b>Architecture<\/p> Where it sits, and what it speaks.<\/h2> Physical AI draws on 4 domains and 32 layers of the spectrum; the highlighted layers carry this area. It speaks 3 of the protocol’s 8 core functions.<\/p> Edge inference, model serving and optimisation<\/p>10<\/p> Foundation models for Earth observation and geospatial<\/p>9<\/p> Time-series and sensor AI<\/p>8<\/p> Multimodal fusion and agentic operations<\/p>7<\/p> Federated and privacy-preserving learning<\/p>7<\/p> Physical AI and robotics (within red lines)<\/p>7<\/p> MLOps<\/p>7<\/p> Evaluation, model risk and AI governance<\/p>10<\/p> O-RAN architecture and open interfaces<\/p>7<\/p> Fronthaul (7.2x split) and transport<\/p>8<\/p> RAN intelligent controllers, xApps and rApps<\/p>8<\/p> SMO, O-Cloud and accelerated L1<\/p>8<\/p> AI-RAN: shared accelerated infrastructure<\/p>7<\/p> AI\/ML in the air interface and network management<\/p>8<\/p> Energy saving and efficiency<\/p>6<\/p> Testing, integration and security<\/p>8<\/p> 01Join<\/b>Identity, attestation quote, signed policy.<\/p>02Admit<\/b>Admitted for a stated scope, nothing wider.<\/p>03Describe<\/b>What, where, how and by whom, with calibration.<\/p>04Time<\/b>One clock across the grid, with its error bound.<\/p>05Observe<\/b>Every value with quality and provenance.<\/p>06Qualify<\/b>Tested against the specification, state on record.<\/p>07Federate<\/b>Signed exchange across grids and trust domains.<\/p>08Orchestrate<\/b>Software and configuration by signed plan.<\/p> <\/section> 03<\/b>On the grid<\/p> Every site joins one observing grid.<\/h2>The open networks on the grid today, over real relief and the geodesic cells we count them into, filtered to the space domain this area serves. A site built here enrols into the same grid.<\/p> <\/section> 04<\/b>In the field<\/p> Where this runs, sector by sector.<\/h2> 3 deployment scenarios from the sector research that rely on physical ai.<\/p> Scientific Research-infrastructure gap-filling nodes<\/h3>Observatory-as-a-service for research infrastructures that must extend coverage under their own quality rules.<\/a>Transport Non-federal automated weather observing for small airports<\/h3>Aviation-grade stations under the civil-aviation authority’s advisory circular; pricing not researched.<\/a>Defence-adjacent (civil dual-use) Research and development route through the defence science programme<\/h3>A science-and-technology programme on all-domain situational awareness.<\/a> <\/section> 05<\/b>Open and enterprise<\/p> Open by default. Enterprise by contract.<\/h2> The open counterpart lives on the main site for anyone to read and run. The enterprise service is designed, deployed and operated with you, under contract.<\/p> Open, on the main site<\/p>Benchmark methods<\/li>Pilot reports, published either way<\/li><\/ul>Enterprise, on this site<\/p>Research pilots<\/li>Prototype engineering<\/li><\/ul> <\/section> 06<\/b>The rest of the line<\/p> Frontier labs, area by area.<\/h2> Frontier labs Pilots<\/h3>New technology, a real site, a written plan.<\/a>Frontier labs Benchmarks<\/h3>Open data, one method, comparable results.<\/a>Frontier labs AI-RAN and 6G<\/h3>Sensing and communication on shared compute.<\/a>Frontier labs Space and NTN<\/h3>Direct-to-device and new payloads, tested.<\/a>Frontier labs Into the product<\/h3>From a result to a qualified release.<\/a> <\/section> Bring us the site.<\/h2>Survey, design, deployment and operation for physical ai. The form names who receives your details.<\/p> Talk to us<\/a>contact@observatory.global<\/a> <\/section> <\/main>