See how Solace Agent Mesh choreographs sensors, forecasting agents, and associates to catch a demand spike in real time — turning a preventable out-of-stock into ~$1B in recoverable enterprise revenue.
Real-time data is the missing ingredient for agentic AI, and we've been building toward it for more than twenty years — it's why RBC, United Airlines, the FAA, Heineken, Bosch...
Together, Solace and OpenLegacy are enabling enterprises to modernize legacy systems without rewrites, disruption, or risky big‑bang migrations.
Real-time data connectivity isn't a performance optimization for real-time RAG — it's a requirement. Without it, retrieval pipelines return confidently wrong answers, and the cost shows up in bad decisions...
Organizations have spent centuries figuring out how to hire, train, supervise, and organize human talent. Solace Agent Mesh is how that wisdom gets applied to AI agents.
Agent mesh observability requires more than traditional microservices tooling. Solace Agent Mesh adds built-in visibility into LLM latency, token usage, and dynamic execution flows with interactive tracing designed specifically for...
Agent Mesh provides two integration paths that enable existing LangGraph agents to participate in the mesh while the broader architecture matures.
AI agents is that seeming to work and actually working reliably are very different things. This post is about how you close that gap using the built-in evaluation framework in...
The teams that build effective enterprise AI will be the ones who recognized early that agents are event consumers — and built their data enrichment layer to match. Micro-Integrations are...
Solace has built a multi-agent AIOps solution on top of Solace Agent Mesh to automate BAU requests, health checks, capacity reviews, and documentation lookups that keep middleware engineers in reactive...
Solace Agent Mesh gives you two ways to coordinate agents: Orchestrator is backed by a LLM and when it receives a task, it decides at runtime which agents to invoke,...
RFQ is a structurally complex process, not a simple workflow. The multi-system, multi-party, exception-heavy nature of quote generation makes it a poor fit for rule-based automation and a strong fit...
