Trusted by innovative organizations since 2015.
Context
The challenges of your industry
Data is abundant, but access and integration remain difficult
Healthcare and life sciences organizations sit on extraordinary volumes of data. Connecting it in a way that is secure, compliant, and actually useful for decision-making is where most organisations get stuck.
Commercial teams lack the real-time intelligence to act fast
In pharma and medtech, HCP engagement, and product launch performance depend on timely, granular analytics. Yet many commercial teams still rely on slow reporting that lags behind the market.
Operational efficiency is under constant pressure
Whether in a hospital, an insurer, or a pharma company, the pressure to do more with fewer resources is relentless. Workforce planning, procurement, patient flow, admin workload: these are exactly the areas where AI delivers measurable gains.
Solutions
The solutions we offer
AI-powered commercial analytics and launch performance tracking
We build the AI models, reporting frameworks, and dashboards that give teams a live view of product performance. Predictive models flag which segments to prioritize, and where attention is slipping.
Patient and member analytics for insurers and care organizations
We help health insurers and care providers understand their populations better: identifying at-risk members early, modeling churn and retention, and building the data foundations for more personalized care.
Compliant data platforms that make AI possible
We design and implement data infrastructures that meet the governance, privacy, and regulatory requirements of the healthcare sector, including GDPR and sector-specific frameworks.
Where we create value
Six capabilities.
One goal : measurable impact.
From strategy to execution, Agilytic covers the full spectrum of data & AI work — so you're never left to stitch together different partners at each stage.
How we work
1. Start from your business objectives
We don't begin with data or technology. We begin with what you're trying to achieve — reduced churn, faster decisions, better risk pricing — and work backwards from there.
2. Assess your data reality honestly
We tell you what's actually usable, what needs to be fixed, and what you can realistically achieve in 3, 6, and 12 months. No inflated promises.
3. Build what gets used, not what looks impressive
Our team works at the intersection of technical rigour and business pragmatism. We build solutions that your teams will actually adopt and run.
Case studies
A few client success stories
Using AI to match blood donors with the products hospitals need
A major nonprofit needed help matching blood donors to hospital needs. We explored how AI could help.
How an on-premises chatbot transformed documentation access for a hospital group
How Agilytic helped a major hospital group retrieve information from internal documentation with an on-premises chatbot.
AI-driven lead time forecasting for pharmaceutical inventory management
Agilytic helped a pharmaceutical company implement AI-driven lead time forecasting. This enabled them to reduce capital immobilization and optimize inventory management.
