| layout | default |
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| title | Sovereign AI Platforms at Population Scale |
| description | PlatformBuilds focuses on Platform Engineering to build Sovereign AI Platforms at Population Scale. We are driven by data and AI, empowering AI capabilities through open hardware innovations including Open Compute and SONiC networking. |
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We build sovereign AI platforms at population scale, powered by data-driven insights and open hardware innovations. Our platform engineering approach empowers AI capabilities with complete sovereignty.
Population-scale AI platforms with complete data sovereignty. Built on open hardware foundations including Open Compute and SONiC networking for maximum control and transparency.
Learn MoreBuilt on Open Compute Project standards and SONiC networking. We leverage open hardware innovations to create vendor-neutral, scalable AI infrastructure platforms.
Explore ProjectsWe are active contributors to the OpenTelemetry ecosystem with 2 production-grade plugins. Our AI-powered observability solutions enhance monitoring for population-scale platforms.
View ContributionsL3 Horizontally Scalable WAF + Load Balancer Engine fusing the Bare Metal Networks and Kubernetes CNI, the vendor-agnostic way.
View on GitHubContribution to the OpenTelemetry Collector, adding a custom processor for anomaly detection using Isolation Forest on streaming spans for intelligent observability.
View on GitHubAI-Powered Impact to Causation RCA & Unified Observability Platform, orchestrating metrics, logs, and traces through a single REST API. Features intelligent routing, cross-engine correlation, and enterprise-grade performance with 10x RAM reduction.
View on GitHubWe fundamentally focus on Platform Engineering to build Sovereign AI Platforms at Population Scale. Driven by data and AI, we empower AI capabilities through open hardware innovations.
We welcome community contributions! Open issues, submit PRs, or start discussions to collaborate on the future of cloud-native networking and observability.
📜 All projects are open source under permissive licenses (Apache 2.0 unless stated otherwise)