SeaStreet

SeaStreet is an enterprise software company that provides an AI-driven orchestration platform for automating and optimizing complex networked infrastructure and services.

• AI-based orchestration platform for distributed infrastructure and services (infrastructure automation).
• Autonomous control loops that monitor telemetry and execute real-time configuration changes (AIOps / closed-loop automation).
• Optimization of resource utilization, performance, and service quality across multi-domain, multi-vendor environments (network and service optimization).
• Support for integration with existing OSS/BSS, management systems, and data sources via APIs and adapters (systems integration).
• Use of Machine Learning (ML) models for decisioning on routing, capacity, and service-level objectives (applied Artificial Intelligence (AI) for operations).

More About SeaStreet

SeaStreet focuses on AI-based orchestration for enterprises and service providers that operate complex, distributed infrastructure, such as telecommunications networks, data center environments, and cloud-based services. Its platform is designed to ingest large volumes of telemetry and operational data, apply ML models to that data, and then execute closed-loop control actions across heterogeneous systems and vendors. This approach places SeaStreet in enterprise categories that include infrastructure automation, AI Operations (AIOps), and network and service optimization.

The SeaStreet platform (infrastructure automation / AIOps) typically sits above existing operational and management layers, integrating with OSS/BSS in telecom environments, Software Defined Networking (SDN) controllers, network management systems, and other control-plane software via APIs and adapters. The platform constructs feedback loops in which policies and objectives are defined at a high level, telemetry from network and service elements is continuously collected, and optimization decisions are computed and enforced through configuration changes. This architecture is consistent with closed-loop automation patterns recognized in carrier and large enterprise operations.

From a technology standpoint, SeaStreet relies on ML (applied AI for operations) to determine actions that align with defined service-level objectives, such as latency, throughput, or availability. Models use historical and real-time telemetry, including traffic metrics, utilization data, and fault information, to predict the effect of configuration changes and to recommend or execute those changes automatically. The platform supports multi-domain scenarios where IP networks, transport layers, and data center or cloud environments must be coordinated to meet end-to-end service goals.

For enterprise and institutional users, SeaStreet’s offerings are positioned as a way to automate decision-making that would otherwise require manual analysis by operations teams. In practice, this can involve dynamic routing adjustments, capacity allocation, or workload placement to maintain performance and cost targets. Compared with traditional rule-based policy engines, the ML components can adapt policies based on observed behavior rather than static thresholds, within constraints specified by operators.

Within an IT and telecom directory, SeaStreet fits into categories such as infrastructure automation, AIOps/observability-adjacent control, and network and service optimization. It is relevant to organizations that manage large-scale networks, multi-cloud environments, or converged service infrastructures and that require programmatic, data-driven control across multiple vendors and domains. The company’s focus on integration with existing operational support systems and APIs positions the platform as an overlay decision and control layer rather than a replacement for underlying network elements or management systems.