Savana

Madrid, Spain All Spain companies → — Founded 2014

Biotech / Drug Discovery Clinical AI Platform Healthcare Analytics / BI

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Savana Clinical NLP

Savana

Developer Tools & APIs

Savana Clinical NLP is an AI-powered, API-first service that transforms unstructured clinical notes from EHRs into structured, analysis-ready variables for real-world evidence generation, research, and clinical decision support.

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About Savana

Savana is a global medical company that leverages Artificial Intelligence (AI) to extract and unlock the clinical value embedded within free-text electronic medical records (EMRs). The company’s core technology, EHRead®, is a proprietary clinical Natural Language Processing (NLP) engine trained exclusively on electronic health records, operating in five languages (German, Spanish, English, French, and Portuguese). This technology enables Savana to transform unstructured clinical notes and reports into structured, actionable data.

For physicians, Savana’s solutions offer the ability to generate deep Real-World Evidence (RWE) and predictive algorithms for healthcare. This allows for faster and more accurate clinical research, providing insights that can lead to individualized treatment plans, a holistic view of patients, and advancements in medical research. Savana’s products, such as Savana Manager, Savana Research, and Savana Predict, are designed by clinicians to address specific clinical problems, aiming to improve medical knowledge and move towards predictive healthcare. The company also supports hospitals with rapid multicenter analyses, as demonstrated during the COVID-19 pandemic.

Focus Areas

Clinical Natural Language Processing (cNLP) Real-World Evidence (RWE) generation AI-powered data analysis federated research networks EHR data structuring predictive medicine drug discovery personalized medicine clinical research data governance population health insights

Business Intelligence

Technology

AI-powered Clinical NLP (EHRead®), machine learning, deep learning, Savana Manager Suite, Savana Data Space, Savana NGR (Next Generation Registry), Natural Privacy methodology, cloud-native architecture, API integration, OMOP transformations

What Physicians Need to Know

Clinical Natural Language Processing (cNLP)

Savana's cNLP is an AI-powered, scientifically validated solution that transforms unstructured clinical notes from Electronic Health Records (EHRs) into structured, analysis-ready variables. It supports multiple languages (English, Spanish, French, German, Portuguese, and Italian) and integrates with medical ontologies like SNOMED CT and MedDRA. This technology is delivered as an API-first service (NLPaaS) and is optimized for short-form clinical texts.

Real-World Evidence (RWE) Generation

Savana unlocks deep Real-World Evidence (dRWE) from multilingual EHRs, enabling hospitals, pharma, MedTech, and regulators to generate high-quality evidence directly from free-text data. Their approach allows for the creation of 'living registries' that continuously generate regulatory-grade evidence and adapt to evolving research needs.

AI-Powered Data Analysis & Predictive Medicine

Savana utilizes advanced AI models for predictive analysis of diseases, optimizing drug access through early detection of patient responses, and reducing hospital costs by improving efficiency. Their technology, including 'Savana Predict' based on proprietary 'Entropia' technology, aims to revolutionize medical practice by advancing disease diagnosis for individual patients.

Federated Research Networks

Savana enables secure, multi-center research across numerous hospitals without moving patient records, ensuring data privacy and GDPR compliance. Their 'Smart Health Alliance' is a global hospital network collaborating within Savana's ecosystem to drive innovative RWE use cases.

EHR Data Structuring

Savana's core strength lies in converting unstructured clinical data, such as medical notes and reports, into structured and usable information. Their EHRead® engine processes free-text documentation from EHRs, identifying and structuring clinically meaningful concepts and mapping them to standard terminologies.

Drug Discovery & Personalized Medicine

Savana's technology supports drug discovery by enriching datasets, building external control arms, and facilitating label expansions for pharmaceutical companies. They aim to advance personalized and precision medicine by providing insights from EHRs that can optimize the research and development of new drugs.

Data Governance

Savana operates under strict privacy standards, complying with regulations like GDPR and HIPAA, and includes anonymization and pseudo-anonymization of sensitive data. Their solutions are designed with privacy-by-design principles, ensuring data remains under hospital control.

Population Health Insights

Savana's capabilities extend to population-level analysis, such as national cardiovascular risk mapping, providing actionable insights for public and scientific institutions to guide quality improvement and inform population health strategies.

Physician Tip

Savana's technology, particularly the Savana Manager Suite and Patient Explorer, can significantly benefit physicians by transforming their free-text clinical notes into structured, searchable data. This allows for easier identification of patient populations, exploration of patient journeys, and access to real-time, evidence-based insights for clinical decision-making. The ability to quickly extract and analyze information from EHRs can save time, support clinical research, and ultimately lead to more personalized and effective patient care. Savana's tools are designed by and for clinicians to solve specific clinical problems, such as predicting disease progression or identifying patients who respond better to certain treatments.

Savana's cNLP is delivered as an API-first service (NLPaaS), enabling real-time integration across research and clinical workflows. Their technology supports integration with standard clinical terminologies like SNOMED CT, MedDRA, ATC, and LOINC. For downstream analytics and collaboration, their Next-Generation Registries (NGR) can export to OMOP- and HL7 FHIR-compatible models. Savana utilizes Google Cloud Platform, including Vertex AI, Cloud Run, API Gateway, Cloud Build, and BigQuery, for the productionization and deployment of their NLP models, allowing for API-based access and standardized inference.

Products by Savana

1 product in the directory

Savana Clinical NLP

Savana

Developer Tools & APIs

Contact for pricing

What the Web Says

Savana (savanamed.com) appears to be a company focused on leveraging AI and natural language processing for healthcare data analysis, particularly for clinical research and real-world evidence generation. Reviews suggest a strong technological foundation and a positive impact on data insights, though specific product and employer reviews are somewhat limited across major platforms.

Overall: Mixed

Strengths

Advanced AI/NLP capabilities for healthcare data
Potential for significant impact on clinical research
Focus on real-world evidence generation
Innovation in healthcare technology

Limitations

Limited public reviews on major platforms like G2, Glassdoor, Capterra
Specific product features and user experience details are not widely available
Employer-specific insights are scarce
Potential for complexity in implementation given the advanced technology

Based on reviews from: G2 (limited information), Glassdoor (limited information), Capterra (limited information), Healthcare IT publications (general mentions of AI in healthcare), Reddit (no specific company reviews found)

Last updated: 2026-10-28

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Press & Coverage

privateequitywire.co.uk

Savana raises USD25m in funding round led by Conexo Ventures, Knuru Capital and Aldea Ventures

Savana, a global medical company developing innovative Artificial Intelligence (AI) technologies, has closed a USD25 million funding round led by Conexo Ventures, along with Knuru Capital and Aldea Ventures. Existing investors Seaya Ventures and Cathay Innovation also reinvested in the round.

2022-04

cathaycapital.com

Savana raises $25M to expand its Real World Evidence presence into the drug discovery space

Savana, a global medical company utilizing AI to unlock clinical data value, successfully closed a $25M funding round with participation from Conexo Ventures, Knuru Capital, Aldea Ventures, and existing investors Seaya Ventures and Cathay Innovation. This funding will enable Savana to enhance its leadership in medical knowledge and predictive healthcare, and to enter the drug research and development space while consolidating its presence in America and Western Europe.

2022-04

seaya.vc

AI HealthTech Startup Savana Secures $15 Million Series B Funding Led by Cathay Innovation to Expand in America

Savana, a healthtech startup, announced the successful completion of its $15 million Series B funding round led by Cathay Innovation in October 2020. The funding will support Savana's international expansion and operations in the US.

2020-10

frontlines.io

Savana's Five-Year Detour: Why Selling to the Wrong Customer Kept Them Alive

Ignacio Medrano, Founder and Chief Medical Officer of Savana, revealed that the company spent five years selling to pharmaceutical companies instead of hospitals, a calculated strategy that saved the healthcare AI company. This approach allowed them to maintain technical progress while waiting for their actual target market to mature.

2025-11

researchgate.net

From electronic health records to real-world evidence: Savana Next-Generation Registry digital solution

This article presents the Savana Next-Generation Registry (SNGR), a methodology for building oncology-focused registries through the extraction and structuring of unstructured EHR data. The secondary use of electronic health records (EHRs) offers a major opportunity to generate real-world evidence (RWE) to complement clinical trials and support regulatory and clinical decision making.

2026-10

europa.eu

The EU-funded SAVANA project aims to create a tool that uses natural language processing to extract data from massive amounts of EHRs' clinical narratives, enabling healthcare professionals to generate real-world evidence, make new discoveries, create personalized medicine, and evaluate health outcomes. This tool is designed to satisfy the requirements of hospital ethics committees, national health services regulations, and pharmaceutical industry policies.

2023-12

seaya.vc

Savana raises €3.8M in series A financing led by Seaya Ventures for international expansion

Savana successfully closed a €3.8M funding round in August 2018, led by Seaya Ventures with participation from existing angel investors. This investment will help Savana achieve its mission to revolutionize how unstructured free-text content of health records is used in clinical research, improving healthcare systems and fostering personalized medicine.

2019-03

unir.net

Savana: AI-enabled system for clinical decision support

This demo paper introduces Savana, an AI-enabled system based on Natural Language Processing (NLP) and Neural Networks, capable of automatically expanding medical terminologies. This system allows for the re-use of information expressed in natural language in clinical reports, generating a real-time information engine for healthcare institutions, clinical research, and management.

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Frequently Asked Questions

What specific problems does Savana solve for healthcare organizations using cNLP and AI?

Savana leverages cNLP and AI to transform unstructured clinical data within EHRs into structured, actionable insights. This enables healthcare organizations to overcome challenges in data silos, manual data extraction, and limited use of real-world data for research, operational efficiency, and improved patient outcomes.

How does Savana ensure data privacy and compliance (e.g., HIPAA, GDPR) when working with sensitive EHR data in its federated research network?

Savana prioritizes data privacy and compliance through a federated learning approach, meaning raw patient data never leaves the healthcare institution's secure environment. Instead, Savana's algorithms are sent to the data, and only aggregated, anonymized insights are shared, ensuring adherence to regulations like HIPAA and GDPR.

Can you explain Savana's approach to Real-World Evidence (RWE) generation and how it benefits clinical research and drug discovery?

Savana's platform accelerates RWE generation by structuring vast amounts of EHR data, making it readily available for analysis. This facilitates more efficient patient cohort identification, accelerates clinical trial design, and provides deeper insights for drug discovery and post-market surveillance by revealing how treatments perform in diverse, real-world patient populations.

What are Savana's key products or platforms that address predictive medicine, personalized medicine, and population health insights?

Savana offers a unified platform that supports predictive and personalized medicine by identifying risk factors and treatment responses from structured EHR data. For population health, it provides tools to analyze disease prevalence, treatment patterns, and outcomes across large patient cohorts, enabling proactive health management and targeted interventions.

How does Savana integrate with existing EHR systems, and what kind of technical support and implementation process can we expect?

Savana integrates seamlessly with various EHR systems through secure, standardized interfaces. The implementation process involves close collaboration with your IT department to ensure smooth data flow and system compatibility. Savana provides comprehensive technical support, including dedicated account managers and technical specialists, throughout the integration and operational phases.

What is Savana's business model and pricing structure, and what kind of partnerships does the company typically pursue?

Savana's business model typically involves a subscription-based or licensing fee for its platform and services, often tailored to the scale and specific needs of the healthcare organization. Savana actively pursues partnerships with pharmaceutical companies, research institutions, and other healthcare technology providers to expand its federated network and enhance its analytical capabilities.

What is the long-term vision for Savana, particularly concerning advancements in AI, data governance, and expanding its federated research network?

Savana's long-term vision is to continuously advance its AI and cNLP capabilities to unlock even deeper insights from clinical data, further enhancing predictive and personalized medicine. The company is committed to strengthening its data governance frameworks and expanding its federated research network globally, fostering collaborative research while upholding the highest standards of data privacy and security.

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