Russ Blattner, Co-Founder and CEO, SUPERWISE – Interview Series

Russ Blattner is the Co-Founder and Chief Executive Officer of SUPERWISE, the leading platform for enterprise AI operations, enabling organizations to operationalize, monitor and govern AI models across complex and regulated environments. Under his leadership, SUPERWISE, formerly known as Blattner Technologies, has emerged as a critical company driving Enterprise AI Governance and Operations Platform, which enables its customers to rapidly develop, deploy, safeguard, and govern AI solutions at scale.

A recognized advocate for responsible AI, Russ champions the development of ethical frameworks and trust-centric AI systems that align with both business goals and societal expectations.

You spent time at companies like BT Group and Lucent Technologies prior to founding Blattner Technologies. What personal or professional experiences during those early years shaped your decision to build a company focused on operationalizing and governing enterprise AI? What gap did you see in the market that others were missing?

Before I started my own company, I saw firsthand how enterprise systems can either accelerate or stall innovation depending on how well they’re managed. We were moving mountains with data, yet adoption kept hitting the same wall; technology pilots that never made it past proof of concept, compliance headaches and operational blind spots. The gap was clear: companies didn’t just need data and technology solutions, they needed a way to operationalize them responsibly, with governance and observability baked in from day one. That’s what drove me to build a company focused not just on AI deployment, but on managing the entire AI estate across the business.

In 2023, Blattner Technologies acquired the original Israeli-based Superwise.ai platform. What made that acquisition a turning point for your company, and how did the technology and team behind Superwise influence your roadmap moving forward?

The Superwise.ai acquisition was a turning point because it gave us a mature, battle-tested observability and governance engine, and an incredibly talented Israeli R&D team that had been solving AI governance problems for years. Overnight, we could offer end-to-end visibility into AI models, detect bias and drift in real time, and automate compliance reporting. That foundation became the backbone of our roadmap, allowing us to expand from monitoring into full AI governance and agentic management.

When you rebranded from Blattner Technologies to SUPERWISE in 2024, what did that shift represent for your customers and your vision? Was it more about alignment, scale, or something deeper?

The rebrand wasn’t just cosmetic, it was a declaration of focus. Blattner Technologies was a broad technology company; SUPERWISE is laser-focused on AI governance, risk, compliance and operationalization. For customers, it signaled that we weren’t dabbling in AI, we are the platform of choice for companies competing in high-stakes industries. It aligned our identity with our mission to make AI observable, controllable and accountable.

How do you ensure that SUPERWISE maintains both technical innovation and strong model governance across customers in regulated sectors like healthcare, finance, and construction?

We build for sectors like healthcare, finance and construction, where mistakes aren’t just costly, they can be catastrophic. That’s why our AI Governance and Operations Platform combines rapid development tools with active guardrails: an AI firewall, role-based access controls, bias and drift detection and one-click compliance reports. Innovation doesn’t mean moving fast and breaking things, it means moving fast while proving you’re in control.

As your team has grown, how have you intentionally built a company culture that values trust, transparency, and responsible AI? Are there specific frameworks or internal policies you’ve put in place to support that?

From day one, we’ve hired people who believe in both the promise and responsibility of AI. We follow clear governance frameworks like NIST AI RMF, enforce transparency in decision-making and require human-in-the-loop oversight for high-impact models. Internally, we run what we sell . Our own platform monitors our models, so the SUPERWISE tech infrastructure lives under the same accountability as our customers.

What distinguishes SUPERWISE’s platform in terms of real-time observability, bias detection, and drift monitoring?

What makes us different in real-time observability, bias detection and drift monitoring is our proactive, contextual approach. We don’t just tell you there’s bias, we pinpoint exactly which subgroups are affected and provide actionable recommendations, even automatically executing corrective measures when appropriate. Our drift monitoring goes beyond simple statistical measures to use advanced model-based techniques that capture complex relationships in high-dimensional data, giving you granular analysis to identify root causes before they cascade into real problems. In observability, our automated metric discovery means you don’t need a team of data scientists to configure monitoring, the platform immediately surfaces what matters most about your model’s behavior in production, not after they’ve already impacted patient or business outcomes. This isn’t just monitoring its intelligent, preventive AI governance that ensures your models remain trustworthy and compliant at enterprise scale.

Can you describe the new open AgentOps platform you launched in June 2025 and how it supports developers using frameworks like Flowise, Langflow, and N8n?

AgentOps is our leap into open standards for agentic AI. Whether you build flows in Flowise, Langflow, or N8n, you can now run, monitor, and govern them inside SUPERWISE. Developers get flexibility, but enterprises get the oversight they need, tracking agent actions, ensuring they operate within guardrails and integrating them with enterprise systems.

Tell us about the implementation with Renova Health. How did SUPERWISE embed real-time AI into clinical workflows to improve documentation and patient engagement?

Our approach with Renova Health was to strategically fuse our AI directly into its existing workflows, creating a seamless integration that works in real-time during patient calls. That includes everything from AI-enabled transcription, summarization and alerting during live calls to using machine learning to build patient personas, predict needs and guide personalized care. 

Now, instead of care managers frantically trying to remember and manually document everything afterward, our AI is right there flagging relevant patterns, suggesting next steps and even helping draft clinical notes as the conversation happens. We’ve freed up Renova’s care teams to focus on what they do best – building patient relationships – while ensuring nothing important falls through the cracks. It’s an excellent example of how purposeful AI implementations can transform healthcare delivery without losing that essential human touch.

What are some of the other verticals – such as manufacturing or commerce – where you’ve seen SUPERWISE deliver transformative results?

In manufacturing, we’ve helped companies like Bridgestone revolutionize their quality assurance by reducing warranty claims cycles from months to days through early defect detection. For our construction vertical, we have created real-time risk dashboards that prevent costly delays and help firms recalibrate project risk models to stay ahead of supply chain volatility through live monitoring and AI-driven field data processing. 

Our work in retail and ecommerce has been just as innovative. We’ve powered personalized shopping experiences with AI-driven behavioral insights that dramatically lift customer loyalty and repeat sales, and our real-time alerting system has saved retailers from conversion rate disasters by flagging pricing agent drift before it impacts business outcomes. 

What excites me most is that  SUPERWISE’s platform-first approach to AI governance consistently delivers measurable business value while maintaining the trust and reliability that various industries demand; whether it’s optimizing resources in complex construction projects, ensuring compliance across supply chains, or preventing model drift in dynamic retail environments. These are meaningful business impacts that our platform is delivering – today..

As a long-time advocate of responsible AI, how do you balance business objectives with broader societal expectations around ethics, fairness, and transparency?

Responsible AI isn’t a side project, it’s a market advantage that must be baked into our AI infrastructure. Enterprises are realizing that without governance, AI becomes a liability. We win deals because we help customers hit their performance targets and prove to regulators, partners, and the public that their AI is fair, explainable and secure.

Looking five to ten years ahead, how do you envision the role of enterprise AI governance evolving—and where do you see SUPERWISE positioned in that future?

As AI becomes more distributed – running in edge devices, embedded in SaaS, integrated into countless workflows – the challenge will shift from building AI to managing it at scale. Ai governance will be as fundamental as cybersecurity. And it won’t surprise you that we envision a world in which SUPERWISE will be the platform enterprises trust to oversee their entire AI estate, no matter where or how it runs.

Thank you for the great interview, readers who wish to learn more should visit SUPERWISE.