Scientists spent years trawling 40M+ medical articles. Now, AI parses complex literature with strict anti-hallucination guardrails.
A London-based healthcare technology startup helps researchers navigate databases like PubMed, which hosts over 40 million articles, to accelerate the 10-to-12-year drug development lifecycle.
Scientists spend roughly a third of the drug development process trawling through medical literature to find insights for clinical trials and...
“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.”
AI agent for healthcare and life sciences research and data extraction.
Managed the infrastructure landing platform and helped streamline its migration to Google Cloud.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Giles AI's Medical data extraction is part of this use case:
Related implementations across industries and use cases
Health apps relied on male 24h cycles. Privacy-first AI now scales female health insights to 100k users for just £1,000/mo.
Barcodes capped the app at 5 markets. Visual AI now identifies waste from photos, unlocking expansion to 170+ countries.
Abstractors spent 6 hours hunting details per complex case. Now, they validate AI findings in 90 mins, saving 6,000 annual labor hours.
Grid capacity data lay buried in thousands of messy PDFs. AI agents now extract details to identify viable connection points instantly.
Abstractors spent 6 hours hunting details per complex case. Now, they validate AI findings in 90 mins, saving 6,000 annual labor hours.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Legacy keyword search failed on typos and vague queries. Now, semantic AI interprets natural language and images to find exact items.
Scientists spent years trawling 40M+ medical articles. Now, AI parses complex literature with strict anti-hallucination guardrails.
A London-based healthcare technology startup helps researchers navigate databases like PubMed, which hosts over 40 million articles, to accelerate the 10-to-12-year drug development lifecycle.
Scientists spend roughly a third of the drug development process trawling through medical literature to find insights for clinical trials and...
“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.”
AI agent for healthcare and life sciences research and data extraction.
Managed the infrastructure landing platform and helped streamline its migration to Google Cloud.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Giles AI's Medical data extraction is part of this use case:
Related implementations across industries and use cases
Health apps relied on male 24h cycles. Privacy-first AI now scales female health insights to 100k users for just £1,000/mo.
Barcodes capped the app at 5 markets. Visual AI now identifies waste from photos, unlocking expansion to 170+ countries.
Abstractors spent 6 hours hunting details per complex case. Now, they validate AI findings in 90 mins, saving 6,000 annual labor hours.
Grid capacity data lay buried in thousands of messy PDFs. AI agents now extract details to identify viable connection points instantly.
Abstractors spent 6 hours hunting details per complex case. Now, they validate AI findings in 90 mins, saving 6,000 annual labor hours.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Legacy keyword search failed on typos and vague queries. Now, semantic AI interprets natural language and images to find exact items.