PGEU Medicine Shortages Report 2023
pgeu.eu
Pharma Predict AI is a state-of-the-art SaaS application that leverages advanced machine learning algorithms to evaluate and predict the viability of drug candidates through clinical trials.
Everything you need to analyze, monitor, and predict drug viability.
Accurately predict the success of drug candidates using our proprietary machine learning models trained on vast pharmacological datasets.
Access comprehensive, detailed profiles and molecular information for thousands of potential drug candidates in real-time.
Analyze in-depth predictions including potential efficacy, safety profiles, and clinical trial phase survivability.
Review the extensive historical progression and audit trails of past and current drug candidates effortlessly.
Medicine without queues and shortages. Our goal is to transform the EU healthcare system (€1.7T TAM) by addressing critical misallocations and outdated procurement methods.
Medicine accessibility is drastically uneven across the EU (e.g., 92% in Germany vs. 25% in Bulgaria). Outdated procurement, lack of flow coordination, and manual data errors lead to critical shortages and surplus imbalances.
Our technological core acts as a central hub. The predictive model synchronizes procurement, sales, and logistics, enabling AI agents to autonomously execute up to 90% of operational functions seamlessly.
Starting with SME pharmaceutical integration, proving the model, and scaling to major players. From there, accumulated cross-border data will ensure availability across all EU nations.
A pure Revenue Sharing model. Zero implementation fees or monthly subscriptions—we operate solely on a percentage of the turnover growth driven by our predictive sales optimization.
By eliminating systemic failures within pharma companies, we establish an efficiency standard that cascades to integrate our algorithms into the management of the entire EU healthcare system.
Seeking €150,000 Pre-Seed Round (5% Equity) to accelerate MVP development via AltaLab acceleration program.
Extended regulatory cycles cause multi-million-euro losses. Annually, €6+ billion of expired products are written off across EU pharmaceutical companies.
Focusing initially on SME pharmaceutical companies (85% of Eastern European market) with scalability up to the entire 450M EU consumer base.
In Germany 92% of EU-authorized medicines are available, compared to only 25% in Bulgaria. Our predictive model bridges this critical gap.
Led by a Founder with 20 yrs experience, Head of AI (ex-Tinkoff/SumSub), Head of IT, and advised by an AI Professor from a German University.
Concrete signals from mission and teaser materials: timing, capital allocation, traction, and market proof.
Since March 2, 2026, Pharma Predict AI officially joined the AltaLab acceleration program by AltaIR VC. This compresses MVP delivery timelines and shortens time-to-market for pilot deployments.
Stage: pre-launch. The team is completing data preparation and negotiating first integrations with pharma companies. First revenue indicators are expected approximately 6 months after the first core integration.
Revenue Sharing only: no implementation fees, no monthly subscriptions. We monetize as a percentage of measurable turnover growth created by forecast-driven optimization.
A proven group of tech experts and AI innovators driving systemic change in EU healthcare.
Founder and CEO
Serial entrepreneur with 20 years of experience in business and startups.
Co-Founder & Head of AI
10+ years experience (SumSub, Tinkoff Bank, VK AI Lab).
Co-Founder & Head of IT
Head of Engineering with 10+ years of high-level experience.
IT Specialist & AI Analytics
Specialist from rebels.ai driving the data insights.
External reports and regulatory updates influencing our predictive models.