Pactum's $54 Million Funding Boost for Agentic AI in Procurement, Apple's AI Challenge at WWDC, and Transformative Agentic AI in Enterprise Software
June 10, 2025
Pactum Secures $54 Million in Series C Funding to Scale Agentic AI in Procurement
Pactum, a leading company in agentic AI for enterprise procurement, has raised $54 million in a Series C funding round led by Insight Partners, bringing its total funding to over $100 million. The investment will help expand Pactum's agentic AI solutions that enable seamless supplier negotiations and procurement processes. The company has achieved significant growth, including a 489% increase in spend managed by its AI agents and acquiring over 25 new Global 2000 customers such as Honeywell, Novartis, and Tetra Pak. Pactum’s CEO, Kaspar Korjus, highlights this milestone as an opportunity to further empower procurement professionals and transform industry practices. With Insight Partners' Managing Director, Josh Zelman, joining Pactum's board, the collaboration aims to sustain Pactum's robust market expansion and innovation in autonomous procurement solutions. (Source)
Apple announced new 'Liquid Glass' software design and AI updates at WWDC
Apple's annual Worldwide Developers Conference, held today in Cupertino, showcased new software updates as the tech giant aims to keep pace with existing AI tools. Under pressure to prove its leadership in AI technology, Apple introduced features such as call and message translation, phone call screening, and searching for items in images on phone screens. However, these updates mirror early AI applications already present on Android platforms by competitors like Google and Samsung, highlighting Apple's challenge to present innovative AI breakthroughs amidst competitors' rapid advancements. (Source)
Business Software and the Urgency of Adopting Agentic AI
Agentic AI represents a transformative shift in enterprise software, transcending traditional SaaS and RPA by employing autonomous agents capable of analyzing data, making decisions, executing tasks, and orchestrating workflows autonomously. Unlike generative AI models like ChatGPT, agentic AI agents independently crawl databases and build workflows to complete specific tasks in real time, providing measurable business outcomes. Gartner predicts that by 2028, a third of enterprise software will integrate agentic AI, a substantial increase from less than 1% in 2024. According to a Cloudera survey, a significant majority of IT leaders view AI agents as essential for competitive advantage, with 96% planning to expand deployments within a year. As the technology develops, companies must consider changes in vendor evaluation, accountability, and software cost models while progressively integrating agentic AI into their tech stacks to boost productivity and efficiency. (Source)
Claude 4 Opus and Composer Agent AI Coding Development Workflow
AI-powered tools like Abacus AI's updated Composer Agent and Code LM are transforming the development landscape by integrating advanced models such as Claude 4 Opus and Gemini 2.5 Pro to enhance coding productivity, streamline workflows, and cut costs. Priced at an affordable $10 per month, these tools feature smarter autocomplete, context-aware code suggestions, and conversational AI for debugging, addressing both front-end and back-end challenges with models like Cloud 4 Opus and Cloud 4 Sonet. They offer developers of all skill levels the ability to focus on creativity by automating repetitive tasks and providing intelligent insights, thus elevating coding efficiency and ensuring projects are completed to high standards. (Source)
IT leaders' top 5 barriers to AI success
Generative AI is rapidly enhancing enterprise productivity, yet several obstacles hinder its full potential. IT leaders must swiftly recognize and address these challenges to maximize the benefits of AI systems. Key barriers include integration complexities, data privacy concerns, and the need for skilled personnel. Overcoming these hurdles will enable organizations to derive greater value from their AI initiatives and improve overall efficiency. (Source)