Beyond Compliance
Data sovereignty is often treated as a compliance checkbox - a legal requirement to keep data within certain borders. But for enterprises building on AI-driven decision layers, sovereignty is an architectural decision that determines whether you control your intelligence or someone else does.
Sentient OS is built on the principle that your data sovereignty must be untouchable - not just contractually, but architecturally.
The Hyperscaler Problem
Major cloud providers offer convenience but create dependency. Your data processing is subject to the regulatory jurisdiction of the provider's home country. Access requests, compliance mandates, and policy changes happen outside your control. For enterprises in regulated industries, healthcare, or public sector, this dependency is unacceptable.
Sentient OS guarantees independence from US Hyperscalers. Deploy on European infrastructure, sovereign clouds, or your own data center. No vendor lock-in. No mandatory migration.
Cloud Native with Full Flexibility
Being sovereign does not mean being stuck with legacy infrastructure. Sentient OS is developed entirely cloud native - container-based, elastic scale, public, private, or hybrid deployment. Switch to private cloud at any time without re-architecture.
The tech stack is battle-tested: Apache Kafka, Kubernetes, Docker, PostgreSQL, Redis, Elasticsearch, Prometheus, Grafana, Apache Spark. TLS 1.3 and OAuth 2.0 / OIDC for security. AVPQ Certified. Red Team Lead Certified. GDPR Compliant. Engineered in Germany.
Integration Without Risk
No rip-and-replace. Sentient docks onto your existing stack via standard APIs, SQL, Kafka, or S3. Your existing investments in BI, CRM, ERP, and data warehousing remain. The Decision Layer enhances them - turning retrospective reports into forward-looking, deterministic execution. All processing runs in your environment. No data leaves your perimeter.
GDPR and Data Residency in Practice
GDPR compliance is not just about consent banners. For AI-driven decision layers, it means purpose limitation (data is used only for the stated purpose), data minimization (only relevant signals are processed), and the right to explanation (decisions must be traceable). Sentient OS is architected for all three. Purpose limitation is enforced at the pipeline level. Data minimization is built into the vector encoding - raw data is transformed into compact representations that serve the decision layer without retaining unnecessary detail. Traceability runs from the Command Center recommendation back through Pattern Recognition, DNA, Logic Engine, Translator, and Sensor to the original signal. GDPR compliance is not an add-on - it is a design constraint that shaped the architecture.
AVPQ and Enterprise Procurement
For enterprises and public sector organizations in Germany, AVPQ certification (Amtliches Verzeichnis Praqualifizierter Unternehmen) confirms vendor reliability, capability, and regulatory compliance. Combined with Red Team Lead Certification and the "Engineered in Germany" designation, this forms a comprehensive trust framework. Procurement teams get documentation, compliance evidence, and architectural assurance that the decision layer meets regulated-environment standards. Sovereignty is not just a marketing claim - it is certified, auditable, and enforceable.
Sovereignty as Competitive Advantage
Data sovereignty is often framed as a constraint - something you must comply with. We frame it as an advantage. When your decision layer runs in your environment, on your infrastructure, under your control, you build institutional knowledge that cannot be extracted. Your vectors, your archetypes, your causal models - they are yours. No third party has access to the intelligence your data generates. In a world where data is the strategic asset, sovereignty is the moat that protects it.