Unlike traditional consultancies that begin with lengthy workshops and proofs of concept, Firemind helps organisations skip the POC stage entirely. With our Pulse Accelerator and Managed AI, you can go straight to secure, production-ready AI that’s designed for the realities of healthcare and research.

Why now?

AI’s impact is already visible. In the UK, NHS trials showed AI models achieving twice the accuracy of clinicians in interpreting stroke CT scans – supporting faster, more reliable diagnoses and saving lives. In research, AI is cutting the time needed to process complex trial datasets, regulatory submissions, and scientific literature, helping accelerate the pace of innovation.

Globally, the scale of the opportunity is significant. In the U.S., AI adoption is projected to save $150 billion annually by 2026 through efficiency gains, cost reductions, and improved care quality. Yet adoption remains at an early stage: many providers and R&D teams are stuck in pilots, rather than deploying AI into production. For leaders across healthcare and life sciences, the opportunity is clear: stay ahead by using AI to deliver better patient outcomes and accelerate research.

Our approach: the power of three

Delivering AI in healthcare and life sciences requires the right foundations. Firemind brings together the power of three:

• Amazon Web Services (AWS) – Providing the scalable, secure cloud infrastructure healthcare requires.

• NVIDIA –  Delivering the AI compute power to process complex medical data in real-time.

• Firemind –  Bridging the gap with Pulse, our tool that helps healthcare organisations seamlessly implement AI agents.                                                    Together, this foundation ensures that Pulse Accelerator and Managed AI are not only powerful, but also secure, scalable, and compliant from day one.

Pulse: workflows and agents for healthcare and research

With Pulse, organisations don’t need to spend months locked in proofs of concept. Instead, Pulse Workflows and Pulse Agents plug directly into existing environments – delivering value quickly and scaling as needs grow.

Example use cases include:

• In healthcare: automating patient record analysis, compliance checks, appointment scheduling, and other document-heavy processes.

• In research: accelerating the processing of trial data, lab notes, and regulatory submissions with higher speed and accuracy.

With pre-built AI components and integrations for platforms like SharePoint, Salesforce, ServiceNow, and healthcare systems (including EHRs and CRMs), Pulse helps organisations move straight from idea to production-ready deployment.

Managed AI: governance without the overhead

AI in regulated industries cannot be “set and forget.” Firemind’s Managed AI provides the oversight required to keep AI reliable and compliant:

• Continuous monitoring of performance and drift

• Regular updates to maintain accuracy and relevance

• Compliance reviews aligned with GDPR, HIPAA, and EMA frameworks

• Incident management and optimisation – without the need for a large in-house AI team

Real-world impact

• Faster diagnostics: NHS trials show AI stroke detection models with twice the accuracy of clinicians.

• Operational efficiency: AI-powered document processing reduces manual review times by up to 70%, cutting administrative burden across hospitals and research organisations.

• Accelerated research: AI tools process trial datasets and literature up to 5x faster, expediting discovery and compliance workflows.

• Better outcomes: Data-driven insights support earlier interventions in patient care and help researchers bring new therapies to patients more quickly.

Ready to act, not just experiment?

Too many healthcare and life sciences organisations get stuck in endless pilots, never realising AI’s full value. With Firemind’s GenAI Accelerator – delivered in partnership with AWS and NVIDIA – you can stay ahead, skip lengthy POCs, and move straight to secure, production-ready AI that works for you. The opportunity is here – contact us to get started.