Tredence launches agentic AI suite with Google Cloud

Tredence has launched a suite of agentic AI accelerators developed with Google Cloud. According to the company, the products are already in production with customers in multiple markets.

Built on Google Cloud tools including Gemini Enterprise, Vertex AI and BigQuery, the suite is aimed at companies trying to move AI projects from pilot stages into day-to-day operations. The software is positioned as a set of pre-built, industry-specific products that can be integrated with existing data systems and workflows.

The launch spans three broad areas. One centres on data modernisation, with tools intended to simplify migration from legacy systems and bring fragmented data together into a governed foundation for AI use. Another targets supply chains, where the software is designed to replace separate tools with a single decision layer that provides real-time visibility and coordination across operations.

A third area focuses on customer-facing work. These accelerators are designed to help companies anticipate customer needs, personalise interactions at scale and connect those interactions to business results.

At the centre of the offering is what Tredence describes as a unified intelligence layer, where AI agents act as digital co-workers that collaborate, reason and execute decisions. The pitch reflects a broader shift in the corporate AI market as businesses move away from isolated use cases and seek systems that support operational decisions across departments.

That shift has also raised practical concerns for buyers. Large organisations have struggled with the cost and complexity of connecting data across old and new systems, proving a return on investment from AI projects and avoiding dependence on a single technology supplier.

Sumit Mehra, co-founder and chief technology officer at Tredence, said the company had focused on operational deployment rather than experimental applications. "The gap between enterprises that lead and those that lag will come down to how quickly they operationalize Agentic AI," said Mehra. "With Google Cloud, we're bringing together the power of Gemini Enterprise with solutions we've already tested in real-world environments. This helps our customers move beyond pilots and actually scale AI by embedding it into day-to-day decisions and delivering outcomes they can measure."

Retail work

Tredence pointed to its work in global retail as evidence of how the partnership has been used in practice. In its most recent financial year, the company said it worked with Google Cloud across dozens of strategic retail accounts on four continents.

Those projects included large cloud migrations and platform modernisation programmes. Tredence said it moved complex data environments without disruption and helped customers cut total cost of ownership by up to 40% while creating data foundations for broader AI use.

The company also said it deployed AI and multi-agent systems on Vertex AI and Gemini Enterprise that automated up to 98% of manual processes, reduced operational effort by up to 70% and shortened deployment times from months to weeks. It did not identify the customers involved.

Rakesh Sancheti, chief growth officer at Tredence, said the work spanned multiple business functions and geographies. "The impact has been global and cross-functional, from unifying supply chain intelligence across thousands of stores to rapidly launching full-scale agentic platforms. This demonstrates how the Tredence-Google Cloud partnership translates AI ambition into real, scalable business outcomes," said Sancheti.

Partner strategy

The announcement also underlines the commercial importance of hyperscale cloud partnerships in the market for AI services and software. Consulting and data firms have increasingly tied new AI products to cloud providers' model platforms and data systems, aiming to package implementation work into repeatable tools for specific industries.

For Google Cloud, alliances of this kind help expand the use of Gemini Enterprise and related services inside large businesses. For partners such as Tredence, close alignment with a major cloud provider offers a route into larger transformation programmes, though buyers often remain cautious about tying operations too tightly to a single stack.

Tredence describes itself as a global AI and data science provider with more than 4,200 employees across the San Francisco Bay Area, Chicago, Riyadh, London, Toronto and Bengaluru. It serves clients across retail, consumer packaged goods, technology, telecoms, healthcare, travel and industrial sectors.

The new accelerator suite is intended to address what Tredence calls the final stage of enterprise AI adoption: turning technical progress into measurable operating results.