Altimetrik: Accelerating AI in Finance & Healthcare | Build with Gemini Podcast @googlecloud

Uploaded August 2026 | Updated September 2026, 3 weeks ago

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How do you safely scale generative AI across highly regulated industries? In this Build with Gemini partner interview from the NorthAm Partner AI Forum, Nirage Negrani, Chief Data & AI Officer at Altimetrik, shares how they are deploying secure, multi-agent architectures for global enterprises.

Discover how Altimetrik is using Gemini to solve complex challenges, including cutting down fund launch prospectus reviews from weeks to hours for AssetMark, and automating batch record compliance in the pharmaceutical supply chain.

Altimetrik: Accelerating AI in Finance & Healthcare | Build with Gemini Podcast

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$New Way Now: Benifex gives benefits management a brainpower boost with Google AI *Featured in this video:* James Fairhead, EVP of Product Engineering at Benifex *Executive summary:* Benifex, the global leader in employee benefits technology, is helping customers make smarter benefits decisions with Project Brain — a multi-agent system that acts as an intelligent consultant to help HR teams design competitive, engaging, and compliant benefits programs for employees around the world. Using Gemini Enterprise Agent Platform (formerly Vertex AI), Google’s Gemini models, and AlloyDB, Project Brain draws on Benifex’s 20+ years of global benefits data and expertise — including consultant guides, competitive benchmarking data, and detailed benefit scheme information — to deliver trustworthy, data-driven insights that inform benefits strategies. Now, HR teams can simply ask questions using natural language and instantly receive expert advice on any country’s specific benefit regulations and market trends. The result: Faster market understanding, more confident decisions, and the ability to build competitive benefit packages in a fraction of the time. *Challenge:* To develop competitive benefits schemes, HR teams first need to fully understand a market’s benefits landscape — a costly, manual process that involves sifting through vast amounts of complex benefits information. Recognizing its wealth of expert intelligence contained answers that could help teams move faster, Benifex wanted to bring this valuable data to life and put it directly at their disposal. *Solution:* Benifex created a multi-agent system built on Google Cloud, designed to act as an intelligent consultant for HR teams, codenamed “Project Brain.” At its core, Vertex AI orchestrates multiple specialized agents, powered by Google’s Gemini models and trained on Benifex’s vast library of consultant guides on benefit norms, competitive benchmarking data, and in-depth benefit scheme information. These complex documents — some hundreds of pages long — are broken down into searchable chunks and stored as vector embeddings in AlloyDB, ensuring Project Brain can quickly surface the precise information to deliver accurate, meaningful answers. Gemini’s multimodal and long context capabilities allow the agents to understand complex questions and rapidly synthesize information into trustworthy recommendations, dramatically reducing the time it takes HR teams to conduct research and develop competitive benefits packages in market. *Results:* With Project Brain, HR teams can ask questions in natural language like, “What benefits should we offer our new team in Spain?” and get data-driven insights in seconds to help them quickly and confidently make decisions about their benefits offerings. Benifex has also extended the power of AI to employees to understand the programs on offer and the overall value of their benefits, using Vertex AI Search to provide instant, personalized answers to their questions. *Key takeaways and highlights from our interview with James Fairhead, EVP of Product Engineering at Benifex:* → “Project Brain helps guide HR teams in terms of how best to understand the benefits on offer. We started to build out this multi-agent system utilizing Vertex AI as that overall orchestration, and then these multiple agents underneath that have their specific purpose, so grounded and fine-tuned for the data they need to understand.” → “We started with Gemini 2.0 flash and then moved to 2.5. We actually found massive advancements in what Google Cloud have been working on. So more tailored, so more consistent and brought the right tone through that we wanted to portray from a Benifex culture perspective.” → “AlloyDB was the key to how we’ve built out the Brain, and how we can get that information and serve it in a really quick and easy way. Some of this information is a hundred pages long in PDFs, word documents, so it’s tabular or text. With AlloyDB, we are able to really just surface the key parts specific to the prompt that user asked.” → “Our real end user is the employees. We’ve put AI search front and center. A lot of these benefits have really long documentation. You could ask, are my dependents covered and it can [cite] and bring that information back. We are using Gemini again to come to life and bring that through Vertex AI Search. Having that all come together from that simple search for the employees is really powerful.” *Google Cloud products used:* Gemini Enterprise Agent Platform (formerly Vertex AI), Gemini, AlloyDB *Learn more:* → https://benifex.com$

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Altimetrik: Accelerating AI in Finance & Healthcare | Build with Gemini Podcast