Conscium deployed BigQuery as the foundation of their data analytics platform, enabling it to process terabytes of information in real time. This implementation transformed its data visualization capabilities, allowing clients to interact with dynamic dashboards that update instantly as new data arrives. Artificial Labs built its insurance claims automation system on Gemini Enterprise Agent Platform, creating machine learning models that recognize patterns in complex insurance documentation. This system now processes most claims without intervention, reducing errors while accelerating payments to policyholders.

This early work has since evolved into AgLabs, the innovation arm focused on building the agentic foundations for the future of insurance markets.

OQC accessed Google Cloud's high-performance computing resources to run hybrid quantum-classical algorithms. Its implementation enabled iterative development and refinement of quantum algorithms and provided a platform for benchmarking against classical approaches, executed on both simulators and OQC's own quantum computing hardware. This capability accelerated its research cycle significantly while reducing capital expenditure on computational infrastructure. OQC uses Gemini Enterprise Agent Platform to execute and manage its quantum machine learning pipelines, and Gemini for Google Cloud for post-run analysis. "We were really pleased that this worked pretty much out of the box, so we didn't need to make changes to the Google Cloud tools or our cloud API," says Ailsa Keyser, Technology Manager, Oxford Quantum Circuits. Google Cloud provided direct technical guidance through dedicated solution architects who collaborated with each startup's engineering team, and all three companies participated in Google Cloud's startup program, gaining access to technical resources, architecture reviews, and implementation credits.

The scalability of these solutions proved particularly valuable during periods of rapid growth, allowing the startups to handle increasing workloads without proportional increases in operational costs or complexity. This can potentially benefit Artificial Labs as it rolls out its agent-to-agent technology in the insurance industry. "This solution has the potential to scale up much higher," says Alexis Renaudin, Head of Data and AI, Artificial Labs. "You could imagine a 24x7 marketplace where underwriters and brokers have their army of agents that talk to each other. Then, in the morning, they find in their inbox risk that has been discussed and data that has been collected, and they just review it and provide the human element to it."

The capabilities enabled by Google Cloud translate into competitive differentiation and create opportunities for expansion into new markets, all while maintaining operational efficiency and cost control. "The changes we want to make eventually are for quantum to augment the capabilities of CPUs and GPUs, and we need to tightly integrate with classical computing infrastructure," says Keyser. "Google Cloud tools are exactly the way for us to do that, and to offer quantum where our users are in terms of data science or machine learning engineers."

Google Cloud has supported all three startups in expanding their businesses through both technical infrastructure support and strategic partnerships. Moving forward, all three companies plan to continue to work closely with Google Cloud as they continue to innovate and grow into the future. For example, Conscium plans to expand its Google Cloud usage and leverage Google's services to streamline operations and observability as it enters the next phase. The company looks forward to featuring prominently on Google's marketplace and becoming a strategic partner.