Convert Fragmented Health Data into Compliant, Revenue-Generating Insights without Compromising Patient Privacy.
Healthcare and life sciences organizations generate large amounts of patient data which is often scattered, low quality, and tightly constrained by privacy rules.
That makes it hard to have actionable insight and to turn real‑world data into trustworthy evidence or products for hospitals, labs, and agencies.
With a modern data platform, strong governance, and AI/ML for quality, linkage, and de identification, these organizations can convert siloed data into privacy safe cohorts, real time insights, and decision tools that partners trust and pay for, unlocking new revenue, reducing manual data and compliance work, and accelerating impact.
We can unlock profit and innovation.
Unlock Compliant Patient Data to Power New Revenue Streams
300M+ Sensitive Healthcare Records Safely De‑identified and Certified for Use.
Companies in healthcare and life sciences often sit on huge troves of sensitive patient data but cannot fully use or sell it because of strict privacy rules and slow, manual compliance processes.
PrimeAI’s de-identification and risk assessment platform, like the one delivered for LexisNexis, automates HIPAA Expert Determination at scale so datasets stay analytically rich while meeting regulatory standards.
With compliant, high-utility data ready faster, these organizations can create new products—such as longitudinal patient-journey datasets, enriched RWD/RWE assets, and analytics services—for hospitals, labs, public-health agencies, and life sciences companies.
This opens new revenue streams, shortens sales cycles, and makes it practical to support more customers and use cases without adding large compliance or engineering teams.
Workforce Optimization
Suboptimal clinician scheduling adversely impacts patient outcomes and operational expenditures. Our Workforce Optimization engine enables organizations to meet complex staffing demands with precision, enhancing both the patient journey and provider satisfaction.
Customer Success Stories
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Marmic Technician Scheduling & Routing
Marmic struggled with inefficient manual technician scheduling & routing caused lost technician availability, overtime, and excessive travel costs. By using our workforce scheduling & routing optimizer, they increased revenue 10%, cut overtime by 91%, and enabled 90 days of forward visibility instead of just 48 hours.
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CheckSammy Pricing Optimization & Workforce Routing
CheckSammy’s manual routing, scheduling, and non-optimized pricing limited capacity and profitability. With our scheduling, routing, and pricing optimization, they doubled operational and revenue capacity without adding headcount or infrastructure, supporting a $150M capital raise as revenue rose and costs fell.
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Aeroméxico Dynamic Pricing
Aeroméxico’s rigid fare classes failed to reflect real customer price sensitivity across routes and seasons. Our dynamic pricing optimization algorithm improved offer relevance, demonstrated higher conversion, and lifted passenger revenue by approximately 1–3% on targeted flows.
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LexisNexis De-Identification & Risk Mitigation
LexisNexis wanted to grow revenue by offering HIPAA-compliant enriched healthcare data products and risk insights. Using our de-identification and risk-scoring platform, they scaled compliant data products, reduced privacy risk, and accelerated regulatory certification and customer onboarding cycles.
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Hotel Group Demand Forecasting & Price Optimization
A Major Hotel Group struggled with static pricing and weak demand forecasts that left rooms underpriced or empty. After deploying our forecasting and dynamic pricing optimizers, this hotel group grew revenue by 2.7% and significantly increased adoption of advanced pricing tools among global hotel managers.
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Forto Demand Planning & Pricing Optimization
Freight forwarder Forto faced inaccurate container demand forecasts and suboptimal pricing that constrained margins and growth. By using our demand forecasting and dynamic pricing optimizers, they added over $1M in monthly revenue, enabling a profitable, scalable growth trajectory.
