Industries
Healthcare and Life Sciences
Utilizing AI to assist in clinical trials, predict patient needs, and create better health management tools
Fragmented data, legacy systems, and strict compliance requirements slow down innovation in healthcare From managing trials to delivering personalized care, healthcare and life sciences organizations face complexity at every level.
We help simplify and accelerate innovation—by combining AI, secure data infrastructure, and user-centered tools to improve outcomes, reduce costs, and support compliance
Future trends
documentation time saved
Journal of the American Medical AssociationAI scribes turn documentation time into clinical capacity
Over the next 18 months, ambient documentation will become a core clinical-capacity planning lever across health systems. Organizations scaling use across visits can reclaim clinician time for patient care.
When AI scribes were used for at least half of visits, clinicians spent 27.3 fewer minutes documenting per eight hours.
Journal of the American Medical Association
reporting faster R&D cycles
RSI Security (citing NVIDIA)Faster R&D cycles reshape pharma's AI funding race
By the next two-year R&D planning cycle, AI-assisted discovery will move from experimentation into portfolio-level execution. Companies converting cycle-time gains into repeatable workflows can bring therapies to market sooner.
Forty-one percent of pharmaceutical organizations report faster R&D cycles from AI investment.
RSI Security (citing NVIDIA)
running four or more AI initiatives in production
Coastal CloudFour-plus production AI initiatives expose the value divide
Within 18 months, healthcare AI competition will hinge on connecting production portfolios to measurable business outcomes. Leaders are already scaling, but value governance determines which programs earn the next budget.
Sixty-one percent of healthcare and life sciences organizations run four or more AI initiatives in production, yet only 21% strongly agree that AI delivers measurable business value.
Coastal Cloud
projected net savings opportunity
National Bureau of Economic ResearchAI automation opens a $120B hospital cost reset
Over the next five years, hospital operating models will shift administrative work and payment flows toward AI-enabled automation. Health systems that redesign these workflows can protect a materially lower cost base.
Hospitals have a projected net AI savings opportunity of up to $120 billion over five years.
National Bureau of Economic Research
Our use cases
We can develop models that identify ideal trial candidates, monitor patient responses, and predict dropouts—improving recruitment and retention
We provide tools that generate tailored recommendations based on patient data—empowering proactive care and ongoing engagement
We know how to manage sensitive health data securely—ensuring full traceability, access control, and compliance with global standards
We can deploy AI assistants that support clinical staff—by summarizing records, scheduling tasks, and guiding administrative workflows
We offer dashboards that track patient health trends, resource use, and operational efficiency—supporting faster, data-driven decisions
We help bring digital health ideas to life—quickly launching secure, user-friendly apps for mental health, chronic care, or patient tracking