Stelia OS is a full‑stack operating system for enterprise AI that delivers private, sovereign deployments with integrated model orchestration, runtime execution, and trajectory governance. The platform provides end‑to‑end encryption, real‑time observability, compliance tooling, and token‑efficiency optimization, enabling regulated industries to run autonomous AI agents at scale with auditable decision paths.
Funding
$8.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
3Founders
Product
Problem
Enterprises can access powerful large‑language models and autonomous agents, but they lack a production‑grade, governed infrastructure that ensures auditable execution, regulatory compliance, and secure operation in high‑risk environments. Without such a platform, AI deployments remain fragmented, risky, and difficult to scale.
Solution
Stelia OS delivers a full‑stack operating system for enterprise AI that unifies model orchestration, runtime execution, and governance into a single, production‑ready stack. The platform provides sovereign, privately‑hosted deployments that give organizations complete control over data and compute while embedding trajectory governance that records intent and decision paths for every AI action. Built‑in observability, policy enforcement, and compliance tooling enable real‑time audit trails and human‑in‑the‑loop oversight, turning experimental pilots into scalable, regulated services. By abstracting integration complexity and optimizing token usage, Stelia OS accelerates time‑to‑value and reduces operational costs for AI‑driven workloads.
Target Audience
Primary customers are large enterprises and regulated industry operators—such as finance, healthcare, energy, and critical infrastructure—who need to deploy autonomous AI agents at scale with full auditability and governance.
Features
- Sovereign deployment model: private, fully owned infrastructure with zero‑trust networking and end‑to‑end encryption.
- Trajectory governance engine that reconstructs intent, logs decision provenance, and enforces policy rules across AI workflows.
- Unified observability suite delivering telemetry, real‑time monitoring, and automated compliance reporting.
- Model‑agnostic orchestration layer supporting multi‑cloud and on‑premise runtimes, enabling seamless provider switching.
- Token‑efficiency optimizer that reduces LLM consumption by up to 50 % through smart prompting and caching strategies.
- Integrated API gateway for secure connectivity to existing enterprise systems, data lakes, and EHR/SCADA interfaces.
- Modular plug‑in architecture allowing custom policy modules, risk‑scoring, and domain‑specific extensions without code rewrites.