Krishna Gade of Fiddler: Our Mission is to Build Trust into AI

Fiddler is the all-in-one AI Observability and Security platform for responsible AI. The platform’s monitoring and analytics tools give teams clear visibility, context, and control across both development and production. This helps teams understand how their AI agents, GenAI systems, and machine learning applications are performing and identify areas for improvement. A key part of the platform, the Fiddler Trust Service, adds quality and moderation controls for AI agents and GenAI applications. Powered by cost-effective, task-specific, and scalable trust models developed by Fiddler, including cloud and VPC deployments for secure environments, it delivers some of the fastest guardrails in the industry.

Fortune 500 companies rely on Fiddler to scale AI agents, GenAI, and ML deployments, enabling them to deliver dependable AI, cut costs, and maintain responsible governance. Krishna Gade, founder and CEO, explains that the platform is built to give teams the confidence to deploy AI at scale while preserving trust and compliance.

“Our mission is to build trust into AI,” Gade explains. “Transparency and security are the foundations of trust, and we embed them into every aspect of the platform.”

Building AI That Teams Can Trust

Krishna Gade’s journey toward Fiddler began during his years leading engineering teams at companies such as Facebook, Twitter, and Microsoft. He noticed that organizations increasingly relied on machine learning models for critical decision-making, yet lacked clarity on how these models produced their results.

“I realized that teams were investing heavily in AI without having a clear understanding of the decisions their models were making,” Gade says. “This lack of transparency can have serious consequences, from regulatory risks to lost trust with customers.”

Fiddler was founded to fill that gap, providing a single platform where organizations can monitor model behavior, ensure quality, and enforce responsible governance. The Trust Service offers real-time moderation and quality controls for AI agents and generative AI applications, helping teams prevent undesirable outputs before they reach end-users.

Democratizing AI Observability

Fiddler brings observability into every stage of AI deployment. Teams can track model performance, detect anomalies, measure fairness, and identify bias, all from a centralized console. By combining analytics and monitoring, the platform allows developers, data scientists, and business leaders to work from the same set of insights.

“We designed Fiddler to be usable across roles,” Gade explains. “A data scientist can dive into metrics, a product manager can review high-level trends, and executives can understand model reliability without needing technical expertise.”

This democratization ensures that decision-making around AI is transparent and grounded in data. Teams gain the ability to act quickly on model issues, deploy safer AI, and maintain alignment with corporate standards.

Scaling AI Agents and Generative AI Safely

As enterprises adopt AI agents and GenAI applications, the complexity of monitoring, moderating, and governing these systems increases. Fiddler’s Trust Service provides task-specific trust models that can operate in the cloud or in virtual private cloud environments. This allows companies to maintain security while scaling deployments efficiently.

“AI agents and GenAI are powerful tools, but they require careful oversight,” Gade emphasizes. “Our platform ensures that enterprises can deploy these systems with speed and confidence, without sacrificing quality or safety.”

Organizations using Fiddler can detect when outputs deviate from expected behavior, implement automated guardrails, and continually improve model performance. This combination of observability and security helps reduce operational risk and optimize costs, which is critical for large-scale AI deployments.

Enabling Responsible Governance

Fiddler equips organizations with the tools to comply with internal policies and external regulations while providing clear explanations of model behavior. Teams can document decisions, monitor usage, and review outputs systematically, reducing the risk of unintentional harm or bias.

“Responsible AI is more than a checkbox,” Gade says. “It is about building systems that people can trust. By giving teams tools to govern AI proactively, we help them act responsibly and ethically.”

This approach not only ensures compliance but also strengthens relationships with customers, partners, and regulators. Fiddler’s governance tools help enterprises anticipate potential risks and address them before they escalate.

Simplifying Collaboration Across Teams

Fiddler is designed to facilitate collaboration among engineers, data scientists, product managers, and executives. The platform provides shared dashboards, alerts, and insights so all stakeholders can see the same information and make informed decisions.

“Many AI projects fail because teams don’t share a common understanding,” Gade explains. “We built Fiddler to break down those silos. Collaboration becomes seamless when everyone can interpret and act on the same data.”

Teams can annotate models, track performance changes over time, and document actions taken in response to issues. This level of collaboration ensures consistency in AI deployment and reduces the chance of miscommunication or errors.

From Development to Production

Transitioning AI models from development to production is often a source of risk. Fiddler provides continuous monitoring and quality checks to maintain performance and reliability after deployment. Models in production can be updated and retrained with confidence, backed by insights from observability metrics.

“Deploying models is not the end of the journey,” Gade notes. “We help teams maintain control and visibility long after the initial launch, making production AI safer and more predictable.”

This capability allows enterprises to scale AI initiatives without slowing down innovation. Continuous observability ensures that models remain effective, compliant, and aligned with business goals.

What’s Next for Fiddler

Krishna Gade envisions a future where AI systems are fully transparent, accountable, and trustworthy, enabling organizations to deploy AI at scale without hesitation. Fiddler will continue to enhance its observability, trust, and governance capabilities to meet the growing needs of enterprises using AI agents, GenAI, and machine learning.

“We want AI to be something that teams can rely on completely,” Gade concludes. “By providing clarity, control, and confidence, Fiddler allows organizations to focus on building solutions that deliver value safely and responsibly.”

Krishna Gade, Founder & CEO, Fiddler

We want AI systems to be transparent and controllable, so teams can focus on building solutions rather than wrestling with uncertainty.