95% accuracy in medical research data extraction
85% reduction in time required for clinical research tasks
Full healthcare compliance out of the box with Google Cloud
Giles AI uses the integrated, secure Google Cloud AI ecosystem for high-accuracy research insights, accelerating scientific discovery.
Giles AI uses the integrated, secure Google Cloud AI ecosystem for high-accuracy research insights, accelerating scientific discovery.
The need for secure, reliable AI the
healthcare industry can trust
Bringing a new drug to market typically takes between 10 and 12 years, and around a third of that time is spent on research. With databases like PubMed hosting over 40 million articles, scientists are forced to trawl through reams of literature to find the specific insights needed to launch a clinical trial or regulatory submission. This adds years to drug development timelines, making patients wait longer for life-saving treatments.
AI research assistant giles® was built with one mission: save time, save money, and ultimately, save human lives. Designed to think like a healthcare professional, giles® helps researchers and clinicians quickly extract and summarize key data from vast amounts of literature, accelerating their discovery.
For doctors and researchers, being able to trust AI output is essential—the difference between an accurate answer and an inaccurate one can have potentially life-changing consequences for patients. The healthcare industry is, therefore, wary of certain large language models hallucinating responses when they can't find the correct information. Initially built using third-party AI models, Giles AI wanted to overcome this trust gap to ensure it was offering researchers consistently accurate data.
Giles AI's previous cloud provider was unable to provide all the tools it needed, forcing the company to integrate a range of third-party solutions. This architectural fragmentation made the already demanding task of achieving healthcare compliance, such as HIPAA and SOC2, even more arduous. Giles AI needed a cloud platform that could provide healthcare-tailored AI services, a comprehensive set of solutions, and strict data compliance, all in one unified platform. As a young start-up, the company also needed a cloud provider that would work closely with its team to support the platform's development.
"The Google Cloud team was accessible from the outset, immediately introducing us to people who could help build the platform and grow the business," says Rishi Wadhera, CEO and co-founder of Giles AI. "Without that support, along with compliance and medically focused AI models out of the box, it would have taken far longer to achieve our goals."
The Google Cloud team was accessible from the outset, immediately introducing us to people who could help build the platform and grow the business. Without that support, along with compliance and medically focused AI models out of the box, it would have taken far longer to achieve our goals.
Rishi Wadhera
CEO and Co-founder, Giles AI
Delivering 95% data accuracy with
Vertex AI and Gemini
Giles AI migrated to Google Cloud with the support of Google Cloud partner Insight, who managed the infrastructure landing platform and helped streamline the transition from its previous cloud provider. Since migrating, giles® has significantly increased its dependability as a robust engine for accelerating scientific decision-making. At the heart of this transformation are Vertex AI and Gemini, which allow the platform to ingest, parse, and analyze millions of complex documents with the accuracy the healthcare industry demands.
By using Document AI to parse unstructured data, combined with the reasoning capabilities of Gemini Pro, giles® has achieved a 95% accuracy rate in data extraction. Importantly, if the data isn't available, the AI admits this, rather than simply hallucinating an answer, which helps to build trust with medical professionals and ensure the integrity of their work.
Thanks to Google Cloud, one customer achieved an 85% reduction in the time required for clinical research. The combination of Document AI and Gemini has also led to a 98% agreement rate between our AI and human researchers. Google Cloud allows us to deliver trusted, real-world insights faster than ever.
Rishi Wadhera
CEO and Co-founder, Giles AI
giles® also benefits from the flexibility of Google Cloud, which makes it easy to develop solutions for different use cases. Using Model Garden on Vertex AI, the Giles AI team can plug and play different AI models for different tasks. For example, they can use Gemini for complex reasoning or deploy open-source models, such as Gemma, for enterprise clients who require their data to remain within specific geographic borders.
Underpinning this intelligence layer is a robust, scalable infrastructure. By using Google Kubernetes Engine (GKE) and Cloud Run, Giles AI has significantly reduced latency, ensuring that features like text-to-speech work instantly. This speed and reliability are vital for delivering a polished user experience to researchers who are often working against the clock.
"Thanks to Google Cloud, one customer achieved an 85% reduction in the time required for clinical research," says Wadhera. "The combination of Document AI and Gemini has also led to a 98% agreement rate between our AI and human researchers. Google Cloud allows us to deliver trusted, real-world insights faster than ever."
Pioneering the future of collaborative research
with multimodal AI
With a secure and scalable foundation in place, Giles AI now plans to evolve the platform from a research assistant to a digital team member that can sit at the table with researchers and medical practitioners.
Using the multimodal and voice capabilities of Gemini, including features like Gemini Live, the Giles AI team is exploring how the assistant could listen in on research meetings, understand the context, and proactively offer insights or pull up relevant papers in real time. The team also wants to develop giles® to become an intelligence expert to support medical practice and decision-making. They're planning to integrate specialized medical models, including MedGemma and TxGemma, to analyze medical images, such as CT scans and MRIs, alongside text, creating a holistic view of patient data that could predict outcomes and flag risks doctors might miss. Optimized for specific domains like dermatology and radiology, these fine-tuned foundation models will enable giles® to offer tailored medical support for different specializations.
To help reach the global healthcare organizations that need this technology most, giles® is launching on Google Cloud Marketplace. This will allow enterprise clients to deploy the platform seamlessly within their existing Google Cloud environments, removing procurement hurdles and accelerating adoption across Europe and Latin America.
For Wadhera, this is another example of how working with Google Cloud has helped Giles AI speed up the growth of its business. "The acceleration we've accomplished in the last 18 months would have taken so much longer without Google Cloud," Wadhera concludes. "It hasn't just provided the infrastructure, the team has held our hands throughout to help us build a platform capable of transforming data into life-saving knowledge."
Giles AI is a London-based AI research assistant that helps healthcare organizations quickly extract and summarize key data from fragmented literature, accelerating evidence generation.
Industry: Healthcare and Life Sciences
Location: UK
Products: Google Cloud, Cloud Run, Document AI, Gemini, Gemini Live, Gemini Pro, Gemma, Google Cloud Marketplace, Google Kubernetes Engine (GKE), MedGemma, Model Garden on Vertex AI, TxGemma, Vertex AI
About Google Cloud partner - Insight
SADA, an Insight company, helps organizations migrate, modernize, innovate, and transform with the power of Google Cloud, accelerating their mission every step of the way.
