EIC Accelerator

Iktos is a French company specializing in artificial intelligence-driven solutions for medicinal chemistry and new drug discovery. It offers SaaS platforms Makya™ for generative drug design and Spaya™ for retrosynthesis, accelerating pharmaceutical R&D. Iktos also develops AI-driven synthesis automation platform Iktos Robotics and has its own drug pipeline targeting oncology and autoimmune diseases.

Superintelligence Computing Systems are committed to bringing true automation to all industrial sectors through AGI technology with human-like learning capabilities.

NannyML develops enterprise software to monitor machine learning models in production, enabling decision-makers to understand how AI decisions evolve and how changes affect business outcomes. The platform detects data drift and concept drift, estimates potential model degradation, and provides actionable insights through a dashboard that communicates model decisions to both business and technical stakeholders. It focuses on bridging the gap between business use and AI, helping organizations keep ML systems reliable, maintain value, and act on insights. The company was founded in 2020 and is based in Leuven, Belgium.

Aindo specializes in generating synthetic data, enabling artificial intelligence to add value responsibly while respecting privacy. Its platform creates hyper-realistic yet artificial data, replacing personal information or balancing biased datasets for safe and fair analysis across sectors like healthcare, finance, and policymaking.

DeepKeep develops cybersecurity software to protect artificial intelligence and large language model systems from risks and cyber threats. Its platform covers the entire AI deployment lifecycle, from individual models to complex pipelines, with integrated tools that automatically enhance security and trustworthiness, including risk assessment and detection of hallucinations. Built for AI-native security, the solution supports vision data models, large language models, and tabular models, enabling scalable, reliable, and transparent AI deployments.

Founded in Berlin in 2017, LiveEO is a pioneering provider of insights-as-a-service. It leverages AI and satellite data to offer real-time earth observation applications, specializing in monitoring large-scale infrastructure such as railways, power lines, and pipelines. LiveEO's services enable clients to manage risks, enhance operational efficiency, and ensure infrastructure safety and sustainability.

Superintelligence Computing Systems are committed to bringing true automation to all industrial sectors through AGI technology with human-like learning capabilities.

Noah Labs develops innovative technology aimed at the early detection of cardiovascular diseases through voice analysis. Utilizing advanced machine learning software, the company has created a digital health platform that allows patients to record their voices using a smartphone. This platform incorporates patient monitoring and digital biomarkers, providing personalized and predictive virtual care in the comfort of their homes. By focusing on voice-based diagnostics, Noah Labs seeks to empower individuals with cardiovascular conditions to lead healthier and longer lives.

NannyML develops enterprise software to monitor machine learning models in production, enabling decision-makers to understand how AI decisions evolve and how changes affect business outcomes. The platform detects data drift and concept drift, estimates potential model degradation, and provides actionable insights through a dashboard that communicates model decisions to both business and technical stakeholders. It focuses on bridging the gap between business use and AI, helping organizations keep ML systems reliable, maintain value, and act on insights. The company was founded in 2020 and is based in Leuven, Belgium.

DeepKeep develops cybersecurity software to protect artificial intelligence and large language model systems from risks and cyber threats. Its platform covers the entire AI deployment lifecycle, from individual models to complex pipelines, with integrated tools that automatically enhance security and trustworthiness, including risk assessment and detection of hallucinations. Built for AI-native security, the solution supports vision data models, large language models, and tabular models, enabling scalable, reliable, and transparent AI deployments.

Noah Labs develops innovative technology aimed at the early detection of cardiovascular diseases through voice analysis. Utilizing advanced machine learning software, the company has created a digital health platform that allows patients to record their voices using a smartphone. This platform incorporates patient monitoring and digital biomarkers, providing personalized and predictive virtual care in the comfort of their homes. By focusing on voice-based diagnostics, Noah Labs seeks to empower individuals with cardiovascular conditions to lead healthier and longer lives.

MindPeak GmbH is a technology company based in Hamburg, Germany, founded in 2018. It specializes in developing artificial intelligence software tools aimed at enhancing the accuracy and efficiency of cancer diagnostics. The company's flagship product, BreastAI, is designed for the quantification of breast cancer immunohistochemistry (IHC) and can be integrated into third-party software systems. MindPeak's solutions automate tissue diagnostics, enabling pathologists to identify and quantify tumorous regions and detect breast cancer cells more effectively. By streamlining tasks such as cell and biomarker quantification, MindPeak's tools allow cancer specialists to focus on critical decision-making in clinical environments, ultimately improving patient care while making diagnostic processes more accessible and cost-effective.

Raidium is a Medtech company specializing in radiology-augmented technology. It is developing the first radiological foundation model, often referred to as the "GPT-4" of radiology, to simplify precision medicine. Raidium's deep learning algorithms analyze medical imaging data, providing AI-assisted diagnoses to radiologists via an integrated console. This enables earlier detection and management of serious conditions like cancer and cardiovascular diseases.

Absolut Sensing is a company focused on environmental, geo, and planetary intelligence services, specializing in the measurement of greenhouse gas emissions for institutional stakeholders. The company develops advanced space observation technologies to monitor and anticipate planetary changes, utilizing compact, high-performance sensors capable of detecting and quantifying atmospheric variations. These technologies integrate machine learning and predictive modeling to analyze emission trends, helping organizations address complex environmental and climate-related challenges. Absolut Sensing aims to redefine remote sensing with its miniaturized and cooled hyperspectral instruments, compatible with standard Cubesat platforms, thereby enhancing the efficiency of environmental monitoring and data analysis.

Raidium is a Medtech company specializing in radiology-augmented technology. It is developing the first radiological foundation model, often referred to as the "GPT-4" of radiology, to simplify precision medicine. Raidium's deep learning algorithms analyze medical imaging data, providing AI-assisted diagnoses to radiologists via an integrated console. This enables earlier detection and management of serious conditions like cancer and cardiovascular diseases.

Absolut Sensing is a company focused on environmental, geo, and planetary intelligence services, specializing in the measurement of greenhouse gas emissions for institutional stakeholders. The company develops advanced space observation technologies to monitor and anticipate planetary changes, utilizing compact, high-performance sensors capable of detecting and quantifying atmospheric variations. These technologies integrate machine learning and predictive modeling to analyze emission trends, helping organizations address complex environmental and climate-related challenges. Absolut Sensing aims to redefine remote sensing with its miniaturized and cooled hyperspectral instruments, compatible with standard Cubesat platforms, thereby enhancing the efficiency of environmental monitoring and data analysis.

Iris.ai offers an AI-powered science assistant designed for R&D departments. It enhances research efficiency through smart search, filters, summaries, and autonomous extraction of scientific insights.

Giskard is a developer of a visual quality management platform focused on enhancing the performance and safety of artificial intelligence models. The company offers a testing platform that automates the evaluation of AI models, enabling users to visually inspect for bugs and receive feedback on model performance. Giskard's solution also provides actionable alerts regarding undesirable behaviors of AI models in production. By facilitating the identification and mitigation of potential risks, Giskard supports data scientists, engineers, and business professionals in ensuring the quality, security, and compliance of AI systems, ultimately helping enterprises manage AI-related risks effectively.

BioSimulytics is a company that specializes in creating AI-powered software tailored for drug researchers in the pharmaceutical industry. Its innovative platform integrates molecular chemistry, quantum physics, and advanced artificial intelligence to enhance the drug development process. By focusing on crystal-structure prediction, BioSimulytics enables researchers to accurately predict stable polymorphs, which significantly improves the speed, certainty, and quality of product data. This technology aims to streamline the development of pharmaceuticals, ultimately supporting researchers in their quest to bring new drugs to market more efficiently.

QuantPi provides automated and scalable solutions for AI model explainability and robustness auditing, offering an artificial intelligence platform that reveals how algorithms operate, assesses risks in outputs, and delivers customized explainability tailored to data types and use cases. This enables organizations to gain clear, actionable insights into the decision-making processes of the AI models they rely on.