No Rip-and-Replace
The first question engineering teams ask is: "What do we have to replace?" With Sentient OS, the answer is: nothing. The platform is designed as an intelligent layer above your existing stack. It consumes data from your sources and produces intelligence through standard interfaces. Your data warehouse, CDP, CRM, and BI tools remain. Sentient enhances them.
Standard Integration Interfaces
Sentient OS supports the interfaces your stack already speaks: REST APIs for query and ingest, GraphQL for flexible data retrieval, Apache Kafka for stream processing and event-driven pipelines, S3 for data lake integration and bulk artifacts, gRPC for high-performance service-to-service communication, webhooks for real-time notifications, and message queues for async workflows. No proprietary protocols. No custom connectors that create lock-in.
Container-Based Deployment
The platform is developed entirely cloud native. Container-based deployment on Kubernetes means it runs wherever your infrastructure runs - public cloud, private cloud, hybrid, or on-premise. Scale elastically based on signal volume and computation demand. The tech stack is battle-tested: Kafka, Kubernetes, Docker, PostgreSQL, Redis, Elasticsearch, with Prometheus and Grafana for observability. TLS 1.3 and OAuth 2.0 / OIDC for security.
Implementation Timeline
A typical integration follows 4 phases over 8 weeks. Phase 1 (Weeks 1-2): Discovery and data landscape assessment - what sources exist, what schemas, what volumes. Phase 2 (Weeks 3-4): API connections, data pipeline setup, initial signal ingestion. Phase 3 (Weeks 5-6): Pilot with live data, Command Center validation, calibration. Phase 4 (Weeks 7-8): Full deployment, team onboarding, continuous optimization. Teams that want to start faster can use the Platform API path with pre-built SDKs for common platforms.
Data Sovereignty for Engineering
Engineering teams care about data flow: where does data go, who can access it, what leaves the perimeter. With Sentient OS: data stays in your environment. Private cloud and on-premise deployments keep all processing inside your perimeter. Enterprise Integration can consume global behavioral ontology without sending your data out. The architecture guarantees data sovereignty at the technical level, not just the contractual level.
Monitoring and Observability
The platform exposes standard observability endpoints. Prometheus metrics for pipeline health. Grafana dashboards for system performance. Structured logging for audit trails. Engineering teams can integrate Sentient OS monitoring into their existing observability stack without adopting new tooling.