KPMG rolls out tool to model tariff impacts

Big Four firm KPMG announced the release of its new Tariff Modeler tool, made to help users prepare for and respond to ongoing trade policy changes. 

The solution draws on client-specific historical data, current tariff information, and the user’s organizational objectives to generate a tailored interactive dashboard that can provide detailed financial information with trade-related insights and data visualizations. People can examine their trade data, identify areas of risk, and understand the financial impacts of said risks. The solution also does in-depth scenario modeling, letting users look at a number of different hypotheticals and examine how tariff policy impacts them. Users can also refine insights by isolating high risk areas based on product, vendor, and country of origin. 

Users get access to comprehensive tariff analysis that provides detailed insights into current and potential tariffs affecting your products and markets; real-time updates on the latest tariff changes and regulations; customizable reports to help make informed decisions and communicate effectively with key stakeholders; and an intuitive interface made to be understandable to those who are not trade experts. 

“Today’s volatile global trade landscape requires companies to fundamentally rethink how they anticipate and respond to policy shifts,” says Rema Serafi, KPMG’s vice chair of tax. “By leveraging AI to transform vast streams of global trade data into actionable intelligence, organizations can rapidly model complex scenarios and make more informed decisions. Those who embrace this AI-powered approach will not only navigate current uncertainties but also position themselves to capitalize on emerging opportunities in this new normal of trade complexity.”

Llamadex Investment

KPMG also last week announced a minority investment in a company, LlamaIndex, that makes data infrastructure for large language models. 

LlamaIndex’s suite of services enables organizations to connect their proprietary data to large language models (LLMs). The company’s flagship offerings include LlamaParse, which provides parsing for complex documents with embedded tables and figures, and LlamaCloud, a managed ingestion and retrieval service for Retrieval Augmented Generation implementations.

KPMG’s investment is spearheaded by KPMG Ventures, which is dedicated to collaborating with and investing in early-stage start-ups in areas like agentic AI, data infrastructure, cybersecurity, and more. KPMG Venture’s minority equity investment follows recent investments in other AI-driven startups including Ema, Wokelo and Rhino.AI.  

“As we continue to innovate and push boundaries in applied AI, a robust data foundation is essential for building effective AI systems, particularly sophisticated knowledge assistants and agentic solutions,” said Swami Chandrasekaran, KPMG principal for AI and data labs. “LlamaCloud and LlamaIndex provide the frameworks necessary to access, curate, and ingest data at-scale, enabling KPMG to develop differentiated, industry-specific solutions that deliver measurable business outcomes for our clients.”

KPMG’s investment was made in parallel to another made by the data and AI company Databricks. Together, these investments will accelerate the development and adoption of LlamaIndex’s innovative LlamaCloud and LlamaParse services, which have emerged as critical tools for enterprises implementing production-grade AI solutions.