Maintains a live, time-aware view of enterprise data, decisions, and agent activity, ensuring AI always operates on what is true now, not what was true yesterday.
Connects structured and unstructured data into a unified knowledge graph, enabling semantic understanding, reasoning, and explanations across customers, products, and operations.
Deploy search, analytical, simulation, and operational agents that reason over context, evaluate scenarios, and execute actions under defined policies and human oversight.
Ensures every AI-driven decision is provable, traceable, and auditable with policy gating, full lineage, and automatic invalidation when inputs or assumptions change.
Synchronizes data across enterprise systems through permission-based, bi-directional integrations, allowing agents to read, act, and write back safely under policy.
Provides enterprise-grade access controls, audit history, and transparency so teams can collaborate confidently while maintaining security, compliance, and accountability.
Support agent workloads with a unified data foundation combining graph, relational, and vector formats optimized for reasoning, state management, and real-time decision control.
Launch and scale agentic applications quickly. Syntes supports no-code builders, programmatic tools, and external frameworks, enabling teams to compose agents without locking into rigid systems.
Built for security, scale, and continuous change. Syntes adapts as data, systems, and policies evolve—so enterprises deploy AI with confidence, not constant reengineering.