Solace

06/01/2026

We're proud to announce that Apex Lubrication LLC and its long-standing partner Mighty L**e have chosen Solace Agent Mesh to power real-time AI intelligence across their industry-leading OmniView platform — bringing next-generation conveyor intelligence to some of the world's most demanding manufacturing environments.

For over 40 years, Apex and Mighty L**e have been the trusted choice for automotive manufacturers and large-scale production facilities. Now, by integrating Solace's real-time data and agentic AI capabilities into OmniView, they're transforming how conveyor data flows and decisions are made.

This is what the agent-native enterprise looks like in action — real-time operational visibility, predictive maintenance, and AI working where the work actually happens.

Read the full press release to learn more: https://solace.com/press-center/apex-lubrication/?utm_source=facebook&utm_medium=organicsocial&utm_campaign=pr_fy26_pressrelease&utm_content=apex_pr

05/21/2026

🚀 Big news! Solace is heading to the Databricks Data + AI Summit 2026 — the world's largest data, analytics, and AI conference!

📍 June 15–18 | Moscone Center, San Francisco

Come find us at Booth 655 and catch our Lightning Talk: "From Lakehouse to Event House: Scaling Real-Time Data Products with Databricks and Solace."

Solace is proud to be an Innovative sponsor for this event. Together, Databricks and Solace are connecting event-driven data with next-gen AI — helping enterprises unlock real-time, actionable intelligence like never before.

🔗 https://solace.com/event/databricks-data-ai-summit-2026/?utm_source=facebook&utm_medium=organicsocial&utm_campaign=databricks_summit_fy27

05/20/2026

The enterprises winning with AI have one thing in common: real-time data.

They've moved beyond batch pipelines and data lakes — and they're giving their AI agents the live, operational context needed to act on what's happening right now.

We're hosting a webinar with Forrester to show you what that looks like.

🎙️ Webinar: "How to Stop Feeding AI Yesterday's Data"
Joshua Carroll, CTO at Solace & guest speaker Mike Gualtieri, VP and Principal Analyst at Forrester, will explore the data architecture powering the next generation of enterprise AI — and how to get there.

🗓️ Join us:
Americas → June 11, 1:00 PM EDT
Europe → June 12, 11:00 PM GMT
APAC → June 12, 11:00 AM SGT / 8:30 AM IST

👇 Save your spot:
https://solace.com/event/forrester-data-streaming/?utm_source=facebook&utm_medium=organicsocial&utm_campaign=solace_forrester_rtdata_webinar_fy27

05/15/2026

Agentic AI has the potential to transform how enterprises operate, but only if it’s built on the right foundation.

As organizations move from experimentation to production, they’re discovering that scalable, reliable AI systems require more than just powerful models. They need real-time data, dynamic orchestration, governance, and resilient architectures built for enterprise complexity.

Our latest white paper explores the core principles behind designing agentic AI systems that can adapt, scale, and deliver business value in the real world.

05/14/2026

Smart cities are becoming a reality — powered by IoT, AI, 5G, and real-time event-driven integration.

A great example is the “living lab” initiative in Heilbronn, Germany, where connected technologies are helping create more efficient, sustainable, and responsive urban spaces.

From smart energy optimization to autonomous operations and connected infrastructure, this project highlights how EDA enables real-time data movement across complex environments.

Explore the Heilbronn smart city initiative. Learn how innovative living labs are shaping the future of sustainable urban living.

05/13/2026

Solace Agent Mesh enables organizations to create AI agents, connect them to enterprise data sources, and orchestrate their actions.

Here are four recent blog posts that explain how agents actually connect, coordinate, and execute, along with a practical real-world example of a multi-agent workflow:
➡️ Data Access: How agents connect to enterprise data in real-time
➡️ Entrypoints Explained: How systems trigger agents via UIs and APIs
➡️ Agent Workflows: How to define repeatable deterministic multi-agent flows
➡️ Building an Agentic RFQ System: A real-world example of multi-agent coordination

🔗https://solace.com/blog/?utm_source=facebook&utm_medium=organicsocial&utm_campaign=sync_with_solace&utm_content=agent_mesh

04/30/2026

“To move forward, it becomes necessary to distinguish seeing from acting, and state from behavior.”

Most Unified Namespace (UNS) architectures focus on visibility.
They centralize data so systems can see what’s happening.
But seeing isn’t the same as acting.

As industrial systems scale, the real challenge isn’t just sharing state. It’s coordinating behavior across systems instantly. That’s where traditional UNS approaches start to fall short.

A more composable architecture separates observation from ex*****on, allowing systems to not only reflect the current state, but respond to it dynamically, across environments, without tight coupling. This shift turns UNS from a passive data layer into an active foundation for real-time operations.

This breakdown explores what that evolution looks like and why it matters.↓
https://solace.com/blog/unified-namespace-composable-industrial-architecture/?utm_source=facebook&utm_medium=organicsocial&utm_campaign=blog_fy26&utm_content=unified_namespace_revisited

04/29/2026

United powers AI agents with accurate, timely data — made real with real-time data.

As agents interact across its operations, United ensures the data behind them is always fresh and low latency—enabling faster decisions, better coordination, and a smoother experience for every passenger.

Watch the full story: https://solace.com/company/customers/united/?utm_source=facebook&utm_medium=organicsocial&utm_campaign=realtime_made_real_fy26&utm_content=united

04/24/2026

A car moves through a busy intersection.
Pedestrians step forward.
A light changes.
A vehicle slows just ahead.
A driverless car’s system sees it all. But seeing isn’t the challenge.

What matters is how fast those signals move and whether they trigger action in time; in real-world environments every change is a decision point and reasoning needs real-time context.

🚗 Read about it here: https://buff.ly/sJuDheL

04/23/2026

What will separate AI pilots from real results in 2026?
Treating AI like serious engineering.
Edward Funnekotter outlines the practical shifts organizations need to succeed. https://buff.ly/5dE6pTg