KUALA LUMPUR, Sept 18 (Bernama) -- Beacon Software (Beacon), the first centralised artificial intelligence (AI) holding company, has acquired Haize Labs, an AI reliability company testing and safeguarding AI agents for real-world deployment.
The Haize Labs team will join Beacon to form its Applied AI Research Group, with its co-founder and chief executive officer (CEO), Leonard Tang, joining as vice president of AI Research to lead the AI operating system deployed across Beacon’s companies.
“Haize Labs brings exceptional engineers to Beacon who know how to find where AI fails and make it better. Together, we will build AI our customers can count on, in the software they already use and trust,” said Beacon founder and CEO, Nilam Ganenthiran in a statement.
Meanwhile, Tang said: “Haize Labs was founded with the mission of building AI that any business can depend on. Now, our work will be put directly to use for Beacon’s broad and growing portfolio of essential businesses.”
Beacon said it believes that the fastest way to bring AI to the traditional economy is through the software businesses that essential industries already use and trust, equipping them with AI infrastructure.
The company acquires these businesses for long-term growth and connects them to a centralised AI operating system that compounds with each additional acquisition and industry.
The addition of the Haize Labs team will strengthen this centralised technology platform, which provides shared engineering, AI, product and go-to-market capabilities to Beacon’s portfolio of 45 software companies with customers across recreation, utilities, education, government, manufacturing and other essential industries.
Key focuses for Beacon’s new Applied AI Research Group include creating reusable AI infrastructure that compounds across its portfolio without erasing the local context of each company and translating domain expertise into evaluation and feedback systems that define what good looks like in each business.
In addition, the group will build continuous testing, red teaming and observability for AI agents before and after deployment, as well as develop AI products that reduce administrative burden, improve customer service and help portfolio businesses grow.
-- BERNAMA