Media

In this Unite.AI interview, Russ Blattner, CEO of SUPERWISE, details his path from telecom and defense technology into enterprise AI governance. He explains why so many pilots fail to scale, how SUPERWISE bridges the gap with monitoring, drift and bias detection, and built-in guardrails, and why regulated industries need stronger oversight. Blattner also talks through the company’s rebrand, the acquisition of Superwise.ai, and its new AgentOps platform that integrates with Flowise, Langflow, and N8n.

According to SiliconANGLE, SUPERWISE has launched /collect, an AI tool designed for frontline data capture across voice, photo, and text. Built for offline use with local caching, region-aware syncing, and AI-structured reporting, /collect empowers organizations with secure, governed, and fully owned data—bridging the gap between field operations and enterprise systems

The article by Mark Stadtmueller discusses the challenges of governing AI systems in a fast-paced environment and proposes a "control plane" as a new layer in the AI stack. This control plane would provide real-time observability, policy enforcement, and compliance reporting, shifting governance from a slow process to a competitive advantage.

TechIntelPro reports that SUPERWISE® has been named a Sample Vendor in Gartner’s 2025 Hype Cycle for Explainable AI (XAI). This recognition underscores SUPERWISE®'s commitment to enterprise-grade AI governance, operational oversight, and explainability at scale—delivering trusted, real-world AI systems in regulated and high-stakes environments.

AiThority reports that SUPERWISE® has launched its first open, enterprise-grade AgentOps platform—designed to securely deploy, govern, and monitor third-party AI agents across frameworks like Flowise—offering unparalleled compliance, observability, and operational control

Enterprise AI is failing not due to lack of innovation, but because of a growing accountability crisis that undermines trust, oversight, and real-world impact.