Verax AI Exits Stealth with $7.6M Seed Funding and Launches AI Control Center

Empowering enterprises with real-time control and safety for Large Language Model-based AI solutions

Verax AI, a groundbreaking startup founded in 2023 by Leo Feinberg and Oren Gev, has announced its emergence from stealth mode with a significant achievement: securing $7.6 million in seed funding. This round was led by TQ Ventures, with notable contributions from Concept Ventures, Cardumen Capital, Seedcamp, InMotion Ventures, and XTX Ventures. This funding will enable Verax AI to fulfill its mission of empowering organizations to harness the full potential of artificial intelligence while addressing the critical challenges associated with its deployment.

A Vision for Responsible AI

The founders, Feinberg and Gev, bring extensive expertise to the venture, with a combined experience exceeding 45 years in developing and deploying enterprise-grade solutions. Feinberg, who previously served as Vice President of Product at CloudEndure—a company he co-founded before its acquisition by Amazon Web Services (AWS)—is well-equipped to lead Verax AI in this endeavor. Together, the team is committed to mitigating the risks associated with the use of AI technologies, particularly the inaccuracies, biases, and potential for offensive outputs that can arise from production AI applications.

The Importance of AI Oversight

In today’s rapidly evolving landscape, organizations across all sectors face increasing pressure to integrate AI solutions responsibly. The challenge lies in ensuring that these solutions do not produce erroneous or harmful outputs. Verax AI addresses this pressing need by introducing innovative solutions designed specifically for large language model (LLM)-based products. The company aims to provide enterprises with the necessary tools to navigate the complexities of AI deployment and ensure reliability and safety.

Introducing Verax Control Center

One of the key milestones in this journey is the launch of the Verax Control Center, touted as an industry-first tool that offers visibility and control over LLM-based products in production. The Control Center is designed to facilitate trustworthy and responsible AI use, allowing organizations to monitor and manage their AI solutions effectively.

The widespread adoption of LLM-based technologies has been hampered by issues related to transparency and predictability, such as factual inaccuracies, hallucinations, and inherent biases. Verax Control Center aims to alleviate these concerns by providing real-time auto-correction of unwanted behaviors, enabling companies to mitigate risks that were previously only partially addressed during the development or deployment stages. This innovative approach eliminates the need for time-consuming configurations or human intervention, thereby streamlining the management of AI systems.

Learning from the Past

Verax AI draws parallels between the current challenges in AI adoption and the public cloud adoption experience from a decade ago. As organizations embark on the journey to integrate AI technologies, they face significant financial and reputational risks. Verax Control Center is positioned as a vital resource that instills confidence and knowledge, empowering businesses to maximize their investments and adopt responsible AI practices at scale.

The need for reliable AI solutions has never been more critical, and Verax AI is poised to lead the way in addressing these challenges. By providing organizations with the necessary oversight and control mechanisms, the company seeks to foster an environment where AI can be embraced as a transformative tool rather than a source of concern.

With its recent funding and the launch of Verax Control Center, Verax AI has positioned itself as a leader in the realm of responsible AI. The company's commitment to transparency, reliability, and proactive risk management sets it apart in a crowded marketplace. As organizations continue to explore the benefits of AI, Verax AI stands ready to provide the solutions and support needed to navigate the complexities of this technology, ultimately driving the industry toward a more trustworthy and effective use of artificial intelligence.