Every prompt, every document, every conversation your institution produces is now training-grade data — and the AI market is built to move it outside your walls. SkywardAI is the open-source stack that keeps it inside: private AI infrastructure with trust built in — injection detection, PII scrubbing, and audit logging enforced entirely in-cluster, on hardware you already own.
Modular tools that work together to run private AI safely on your own infrastructure.
In-cluster reverse proxy that enforces trust on every LLM request and response — authentication and rate limiting, prompt-injection detection, PII scrubbing before inference, output toxicity/PII filtering, and tamper-evident audit logging. OpenAI-API compatible, no external dependencies, runs entirely inside the cluster.
Secure mesh networking that connects all infrastructure automatically. Headscale manages WireGuard key exchange; Cilium enforces identity-based NetworkPolicy at the eBPF level — no sidecar proxies, no manual key management.
High-availability k3s cluster with GPU-aware scheduling. Deploy and scale AI workloads with automatic failover, self-healing, and intelligent resource allocation across edge nodes.
Create intelligent conversational agents with custom knowledge bases, RAG capabilities, and support for any LLM model. A causality-aware calibration layer knows when to trust its own retrieval — flagging low-confidence answers instead of asserting them.
Centralized management for all components. Monitor cluster health, GPU utilization, Skyward Gate trust metrics, and Mesh connectivity from a single browser-based interface — access controlled to administrators only.
A composable agent framework built on our own optimised structure for teams — designed for businesses that put data privacy first and need to share agent workflows across a team without friction.
Six components, one owner: you. Each stage of the platform maps to what happens to institutional data — from the moment it's generated to the moment it's shared.
Each SkywardAI component is designed around published research.
When to Trust: A Causality-Aware Calibration Framework for Accurate Knowledge Graph Retrieval-Augmented Generation
Securing LLM-as-a-Service for Small Businesses: An Industry Case Study of a Distributed Chatbot Deployment Platform
The Missing Adapter Layer for Research Computing
In-cluster trust enforcement for private LLM inference on Kubernetes — prompt injection detection, PII scrubbing, and tamper-evident audit logging with zero external dependencies.
Production-ready k3s cluster with GPU-aware scheduling, automatic failover, and self-healing capabilities for mission-critical AI workloads.
3-node master cluster with distributed etcd and automatic leader election for zero-downtime operations.
Intelligent workload placement across NVIDIA GPUs (A5000, DSG, NV4090) with resource isolation and time-slicing.
Automatic pod restart, health monitoring, and keep-alive behavior for continuous AI service. Recovery time: <30s.
Battle-tested technologies for production AI workloads
Connect your entire infrastructure with zero-configuration mesh networking. Cilium + Headscale — no complex VPN setup, no sidecars required.
Cilium enforces identity-based NetworkPolicy at the eBPF level — no sidecars, no Envoy proxies. Each SkywardAI component can only reach the components it is permitted to reach, enforced in the kernel.
All node-to-node traffic is encrypted with WireGuard, managed automatically by Headscale. No manual key generation or static config files. New nodes join with a single command.
New nodes and services are automatically discovered and connected. Headscale assigns stable overlay IPs — no DNS or config changes needed when cluster topology changes.
Deploy the full SkywardAI stack on your own k3s cluster, or contribute to the project. All components are open-source.