Explore the 10 Top AI Solutions for Pharma to Watch [2026]

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Executive Summary: Which are the Top 10 AI Solutions for Pharma to Watch?

1. Infinimol AI (Germany): Uses generative AI for virtual screening and molecule design to accelerate early-stage drug discovery.
2. Keiji AI (USA): Deploys AI agents to automate literature review, trial design, and data analysis across clinical research.
3. Pharma Pilot (Canada): Provides AI voice agents and chatbots to automate pharmacy calls, bookings, and patient reminders.
4. Baiyao Technology (China): Builds AI-powered virtual cell models to simulate disease mechanisms and predict drug responses.
5. Double Blind Bio (Italy): Connects clinical research sites and pharma sponsors using AI-driven site profiling and feasibility management.
6. YEZA.ai (Turkey): Automates adverse event processing with AI agents and human-in-the-loop validation for pharmacovigilance.
7. Dheera (India): Applies AI to predict compliance risks, automate SOPs, and manage quality workflows in pharma.
8. RxGenius.ai (Germany): Delivers a generative AI assistant for medication insights, clinical decision support, and patient education.
9. Deepful (Spain): Uses AI-driven role-play simulations to upskill pharmaceutical sales and medical teams.
10. PharmBot AI (UK): Offers an AI virtual pharmacist that automates clinical assessments and pharmacy documentation.

Global Startup Heat Map highlights Emerging AI Solutions for Pharma to Watch

Through the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering over 9M+ startups, 20K+ technology trends, plus 150M+ patents, news articles & market reports, we identified the top 10 AI-based pharma companies.

The Global Startup Heat Map below highlights emerging AI-based pharma companies you should watch in 2026, as well as the geo-distribution of 2050+ AI in pharma startups & scaleups we analyzed for this research.

According to our data, we observe high startup activity in the USA and India, followed by the UK. The top 5 Startup Hubs for AI in Pharma companies are San Francisco, London, New York City, Cambridge, and Boston.

Meet Emerging AI-based Pharma Companies to Watch in 2026

We hand-picked startups to showcase in this report by filtering for their technology, founding year, location, funding, and other metrics. These emerging AI-based pharma startups work on solutions ranging from pharma compliance and pharmacy customer service to a clinical trial AI assistance platform and AI-driven pharma sales.

1. Infinimol AI – AI-Driven Drug Discovery

• Founding Year: 2023
• Location: Eurasburg, Germany

German startup Infinimol AI delivers an artificial intelligence (AI)-driven drug discovery platform. It leverages generative AI to accelerate early-stage research.

The platform incorporates virtual screening of a multitude of compounds against specific targets. It generates new molecules against set targets and properties. This reduces the time for the identification of relevant compounds.

Further, the platform features a semantic molecule vector database that allows search and comparison of compounds semantically. The technology applies AI to support drug discovery applications across absorption, distribution, metabolism, excretion, and toxicity analysis.

This benefits research scientists, medicinal chemists, and pharmaceutical research teams seeking data-driven discovery workflows.

2. Keiji AI – AI Agents for Clinical Research

• Founding Year: 2023
• Location: Seattle, WA, USA

US-based startup Keiji AI offers an AI-driven clinical research platform for the clinical trial lifecycle. It uses specialized AI agents and machine learning models to automate literature review, real-world data analytics, trial design, protocol drafting, and more.

Its literature mining assistant automates systematic literature review workflows, including search, screening, extraction, and evidence synthesis.

The data science assistant (DSA) uses AI to interactively explore, analyze, visualize, and generate statistical insights from clinical and research data code support.
Data science agent for reproducing biomedical research

The startup also provides clinical trial AI models to enhance clinical trial design, site selection, patient-trial matching, document drafting, and enrollment forecasting across the clinical trial lifecycle.

These solutions support biopharma researchers, contract research organizations (CROs), and academic clinical scientists working on clinical development and real-world evidence analysis.
Deep Learning for Clinical Trials by Danica

3. Pharma Pilot – AI for Pharmacy Customer Service

• Founding Year: 2024
• Location: Calgary, Canada

Canadian startup Pharma Pilot offers an AI assistant to manage inbound and outbound calls in a pharmacy. The platform uses AI-powered voice agents, chatbots, and automated text notifications. They handle customer queries, vaccination bookings, and refill reminders, and they remind pharmacy managers to stock inventory.

This reduces manual phone workload and enables pharmacists to focus on direct patient care. This improves patient experience.

4. Baiyao Technology – AI-Powered Virtual Cell Modeling

• Founding Year: 2024
• Location: Beijing, China

Chinese startup Baiyao Technology offers an AI-powered virtual cell platform that uses virtual cell models and multi-source data simulation to recreate cellular states, disease mechanisms, and drug responses.

It aligns multi-batch single-cell data distributions to cluster cells by biological type and uses generative training of gene embeddings to build similarity networks representing genetic interactions.

Machine learning models infer developmental trajectories and cell differentiation states from gene knockout expression data. They assign biological cell labels to input cells using automated inference.

It reconstructs differentiation and state transitions from high-dimensional single-cell data and computationally reconstructs the spatial arrangements of cells.

Further, deep learning models analyze gene expression and protein interactions to predict and evaluate potential drug targets. They indicate how biological systems respond to varying quantities of drugs to characterize pharmacological behavior.

These features support drug discovery, cell line optimization, phenotype design, and physiological-pathological simulation for life science researchers and biopharma teams.

5. Double Blind Bio – AI Platform for Clinical Trial Collaboration

• Founding Year: 2025
• Location: Turin, Italy

Italian startup Double Blind Bio uses AI to connect clinical research sites with pharmaceutical sponsors. It auto-builds site profiles and dispatches tailored outreach to sponsors aligned with a site’s expertise. This reduces repetitive manual work.

The platform aggregates and manages feasibility responses and engagement data to inform future trial strategies for clinical research teams. This supports centralized collaboration across study stakeholders through shared insights.

Want to Explore 2050+ AI-based Pharma Startups & Scaleups?

6. YEZA.ai – AI-powered Pharmacovigilance Automation

• Founding Year: 2024
• Location: Istanbul, Turkey

Turkish startup YEZA.ai automates the intake and processing of adverse event reports using AI agents and large language models (LLMs). It processes unreadcted sources containing suspect adverse drug reactions and product complaints. This supports pharmacovigilance workflows.

The solution uses intelligent extraction beyond optical character recognition (OCR) and robotic process automation (RPA). It deploys human-in-the-loop (HITL) validation for accuracy and compliance.

Moreover, the platform integrates into existing safety systems to speed adverse event triage. This reduces manual workload for pharmacovigilance and safety teams.

7. Dheera – AI-based Pharma Compliance Management

• Founding Year: 2024
• Location: Bangalore, India

Indian startup Dheera provides an AI-powered compliance and quality management platform for the pharmaceutical industry. It predicts compliance risks and suggests corrective and preventive action (CAPA) workflows to prevent quality deviations.

It automates Standard Operating Procedure (SOP) creation, monitoring, and updates to align with global regulations like the U.S. Food and Drug Administration (USFDA). This prevents the risk of inspection delays and lost market opportunities.

The platform also delivers live compliance dashboards and risk analytics. This supports data-driven decisions by quality assurance, regulatory affairs, and pharma teams.

8. RxGenius.ai – GenAI Assistant for Pharma Clinical Research

• Founding Year: 2024
• Location: Dusseldorf, Germany

German startup RxGenius.ai delivers a pharma-grade generative AI assistant for clinical research and decision support. It uses natural language processing (NLP) to provide factual answers to complex medication and product questions to patients and health care professionals (HCPs).

The platform features QR code-enabled Scan & Ask AI that provides insights on medication packaging, safety information, and more. The AI is trained on real-world medical data. This allows clinicians to detect rare conditions as well.

Further, the platform features patient engagement and personalized education. This reduces dropouts during clinical trials, thus improving trial outcomes.

9. Deepful – AI-driven Pharma Sales Upskilling

• Founding Year: 2023
• Location: Barcelona, Spain

Spanish startup Deepful offers an AI-powered role-play training and sales proficiency platform for pharmaceutical commercial teams. The solution uses AI-driven conversational simulations and tailored scenario training practice to simulate realistic HCP interactions.

It delivers customized role-play scenarios and coaching to enhance communication and scientific messaging skills. Each session generates progress insights, helping teams to track performance.

This supports pharmaceutical sales representatives, medical science liaisons (MSLs), and pharma managers with scalable skill development.

10. PharmBot AI – Virtual Pharmacist Chatbot

• Founding Year: 2024
• Location: Solihull, UK

British startup PharmBot AI offers an AI-enabled virtual pharmacist chatbot, AIVAe. AIVAe combines deterministic clinical logic, structured assessments, and audit-ready documentation to support pharmacy-centric workflows.

It provides automated clinical assessment for conditions like sore throat, sinusitis, impetigo, insect bites, shingles, acute otitis media, and more. It generates subjective, objective, assessment, and plan (SOAP) notes, consultation summaries, and patient group direction (PGD) compliance reasoning.

This way, the solution delivers faster case intake, reduces manual review effort, and improves data consistency.

Discover All Emerging Pharma Startups

The pharma startups showcased in this report are only a small sample of all startups we identified through our data-driven startup scouting approach. Download our free Pharma Innovation Report for a broad overview of the industry or get in touch for quick & exhaustive research on the latest technologies & emerging solutions that will impact your company in 2026!