Research & Education

Altered Carbon Ltd has developed a scalable platform for digital chemical perception, enabling machines to detect, interpret, and act on invisible chemical signals in the air. Their technology utilizes proprietary graphene nanomaterials engineered for mass manufacture and seamless integration with standard silicon electronics. These sensors operate at ultra-low power, providing stable and repeatable performance without the need for frequent recalibration, unlike traditional metal-oxide sensors. The core sensing architecture is highly configurable, applicable across various industries such as healthcare, built environment, food & agriculture, security & defense, industrial & infrastructure, and robotics. This innovative approach allows for continuous chemical awareness in environments where traditional sensors are too costly, power-hungry, or complex to maintain, effectively giving machines a new sense for a deeper understanding of their surroundings.

Opyl is an AI-driven platform specifically designed for biostatistical validation and optimizing clinical trial designs. It leverages artificial intelligence to simulate trials, analyze complex datasets from clinical studies, and provide data-backed recommendations. This allows for more efficient and effective strategic planning and decision-making within the pharmaceutical and biotech sectors. Opyl supports companies of all sizes in streamlining trial outcomes, from early-stage drug candidate selection to real-time recruitment analytics, ultimately aiming to accelerate the development of new therapies.

ML Agents Walker is a Unity game environment designed to showcase the capabilities of machine learning-driven agents. Within this interactive space, AI agents autonomously navigate and interact with pyramid structures. The tool requires no direct input from the user; instead, it offers a passive observation experience where users can watch the agents' behavior and interactions unfold. This platform serves as an accessible demonstration of AI agents operating within a simulated environment, highlighting their ability to perceive, decide, and act. It's hosted on Hugging Face Spaces, making it easily accessible for anyone interested in observing AI in action.

Biographica is an advanced AI platform dedicated to revolutionizing crop improvement through gene-editing. The tool leverages cutting-edge machine learning and high-throughput sequencing to identify and prioritize novel, high-quality genetic targets for any trait in any crop. It analyzes each target within its full biological context, moving beyond 'low-hanging fruit' to identify targets with maximal efficacy and minimal undesired pleiotropic effects. Biographica aims to streamline the gene-editing pipeline, increasing success rates, saving time, and cutting costs for trait developers. The platform integrates deep multi-modal in silico screening, context-aware edit design, in planta validation, and iterative re-integration of validation data to continuously improve future screens.

ChemAlive SA offers an advanced platform leveraging quantum chemistry to accelerate and enhance chemical research. Their mission is to provide accurate and actionable computational quantum chemical data, helping clients reduce time-to-market and solve complex research challenges. The platform specializes in reaction mechanism elucidation, kinetic modeling, molecular design, virtual screening, drug discovery, and property prediction. ChemAlive also focuses on materials modeling, data-driven synthetic planning, and experimental execution of chemical synthesis. They are pioneers in cloud-based quantum chemical calculations and integrate machine learning to provide rapid access to quantum chemical data, supporting both computational and experimental research.

Citrine Informatics is an enterprise SaaS platform that applies generative AI and materials science to accelerate product development in the materials and chemicals industries. The platform offers tools like Citrine DataManager for capturing company knowledge, Citrine VirtualLab for specifying properties and running virtual experiments, and Citrine Catalyst for identifying promising candidates. It helps businesses develop products faster, optimize R&D investments, and improve sales, supply chain, and production processes. Citrine Informatics is designed for enterprise use, offering robust security, professional onboarding, and adaptability to unique material properties, ensuring faster time-to-market for new products.

Cognitive GeoInterpretation Inc. (interpretation.ai) offers a browser-based platform designed for machine learning interpretation of large 3D datasets, specifically targeting the oil and gas industry. The platform enables users to train and deploy machine learning models, view and interpret complex 3D datasets directly in the browser, and collaborate with other interpreters. It aims to solve the scalability issues of human interpretation for ground layers that can comprise billions of elements. The methodology combines industry expertise with advanced software knowledge in algorithmic design, machine learning, graphics, and massive dataset processing. Users can import seismic data and begin interpretation quickly, with the platform continuously learning from professional input to create machine-labeled data.

Maibrain is an innovative AI platform designed to preserve knowledge and memories by transforming personal information into intelligent digital agents. The platform allows users to store photos, videos, texts, and audio, creating a comprehensive digital legacy. A key feature is voice cloning, which enables interactive and personalized chat experiences with the digital agents, simulating conversations with loved ones. Maibrain aims to automate processes, enhance customer service, and empower businesses through its advanced technology. It offers both a Free plan with limited features and a Premium plan that includes advanced capabilities like unlimited interactive chat, custom chat links, avatar creation, and scheduling appointments, making it suitable for individuals and businesses looking to digitize and interact with their preserved knowledge.

ViridisChem offers an AI-powered chemistry platform designed for R&D and EHS teams. The platform enables users to find safer reagents, generate OSHA/GHS compliant Safety Data Sheets (SDS) for chemicals and mixtures, and receive ADMET characteristics of novel molecules. It also allows for the assessment of reaction performance, helping to minimize late-stage product development changes and optimize processes. Key features include a Chemical Analyzer for comprehensive chemical profiles and selecting less toxic alternatives, an SDS Generator for automatic compliance, and a Reaction Analyzer for predictive scores on performance, toxicity, and scalability. The tool aims to empower toxicity-aware smart decisions and enhance lab safety.

DIGESTAID is an AI platform dedicated to advancing digestive healthcare through innovative deep learning solutions. It specializes in the automatic detection and characterization of digestive lesions, providing critical support for physicians in their decision-making processes. The tool encompasses a wide scope of applications, including non-invasive capsule endoscopy technologies, AI live vision for procedures like cholangioscopy and endoscopic ultrasound, and digestive motility and raw data analysis technologies for anorectal and esophageal manometry. DIGESTAID aims to improve diagnostic accuracy and workflow efficiency, leveraging a combination of gastroenterological expertise and advanced engineering to deliver accurate and impactful AI solutions.

DigiBiomics leverages AI and precision diagnostics to bridge the gap between symptoms and answers in healthcare. The platform integrates science and artificial intelligence to facilitate earlier disease detection, smarter care delivery, and improved patient outcomes globally. It offers services such as tailored AI models for analyzing medical data and generating evidence-based diagnoses, Data as a Service (DaaS) for secure clinical data provision, and end-to-end automation for digital transformation of healthcare systems. DigiBiomics also fosters collaboration and training with academic institutions and healthcare organizations to promote AI adoption and digital literacy, ultimately empowering care teams to act faster and save lives.

bindsnet is a Python package designed for simulating spiking neural networks (SNNs) on both CPUs and GPUs, leveraging PyTorch's tensor functionality. It is specifically geared towards the development of biologically inspired algorithms for machine learning, making it a valuable tool for researchers. The package facilitates ongoing research in applying SNNs to machine learning (ML) and reinforcement learning (RL) problems. It allows users to convert ordinary differential equations (ODEs) describing neuron dynamics into difference equations for approximation, utilizing PyTorch's powerful `torch.Tensor` objects and `torch.nn.functional` submodule. This enables the creation of SNN architectures with features like convolution or pooling functions, and supports spike-timing-dependent plasticity (STDP) for weight modification.

GrowDoc is an AI-powered plant health monitoring tool designed to assist growers in maintaining optimal plant health. It leverages advanced AI vision technology to accurately identify various plant health issues, including diseases, nutrient deficiencies, and pest infestations, directly from leaf images. The platform also offers data digitization capabilities, allowing for efficient tracking and management of plant health information. A key feature is its ability to automate pest counting on sticky traps, which is crucial for optimizing Integrated Pest Management (IPM) strategies. By providing precise diagnostics and data insights, GrowDoc empowers growers to make informed decisions, leading to healthier crops and improved yields.

insitro is a pioneering drug company that integrates machine learning (ML) and large-scale data to revolutionize drug discovery and development. By decoding the complexities of biology, insitro aims to bring better drugs faster to patients. The platform combines in vitro cellular data from its labs with human clinical data to redefine disease understanding. This ML-driven approach is engineered to precisely identify therapeutic insights and interventions across a wide spectrum of diseases, accelerating the development of new medicines. insitro is building a pipeline of wholly-owned and partnered therapeutic programs in key areas like metabolism, oncology, and neuroscience, all fueled by its robust data-driven platform.

Intelligest is an AI-driven optimization platform designed to unlock the full potential of organic waste for biomethane production. It integrates seamlessly with existing biomethane plants, enhancing their operational and biological efficiency. By leveraging intelligent operating systems, Intelligest can increase biomethane production by up to 30% per tonne of organic waste. This not only helps reduce greenhouse gas emissions by preventing waste emissions and displacing fossil fuels but also contributes to mitigating global warming. The platform combines machine learning with biological insights to support the biomethane industry in scaling its decarbonization impact.

Revilico is an AI-powered platform designed to digitize and accelerate pharmaceutical research and development. It provides a comprehensive ecosystem for drug discovery, empowering chemists and biologists with unified virtual simulations, AI models, and closed-loop experimentation. The platform integrates core engines like Docking, Co-folding, Molecular Dynamics, FEP+, Generative and Quantum Chemistry, and Virtual Cells to cover the entire drug discovery spectrum from Target ID to Preclinical Development. Revilico aims to reduce screening hit rates, experimental reduction efficiency, and lead generation costs, ultimately enabling faster and more precise development of new medicines. It also features a robust data ecosystem, harmonizing vast amounts of biomedical data to bridge the gap between computational and experimental scientists.

Qlucore provides visualization-based solutions to accelerate, simplify, and improve research and cancer diagnostics. The platform offers powerful, flexible, and easy-to-use tools for multi-omics data analysis, including bulk RNA-seq and proteomics. It integrates publicly available resources and supports a broad spectrum of omics data types like RNA-seq, NGS, proteomics, and metabolomics. Key features include real-time 2D and 3D interactive plots, powerful statistical analysis with instant visualization, and a Biomarker Workbench optimized for drug development and biomarker discovery. Qlucore also supports machine learning classifiers and offers an NGS Module for genome browser-centric analysis, including fusion gene analysis and single-cell RNA-seq data support. It is available in both cloud and local installations.

OKRA.ai, integrated within Envision Pharma Group, is an AI and technology solution designed for the life sciences sector. It combines AI-powered technology with medical, commercial, and strategic expertise to help organizations achieve smarter, faster outcomes and real-world impact for patients. The tool supports various functions across the product lifecycle, including evidence generation, medical affairs, commercialization, market access, revenue management, and compliance. It aims to accelerate access to life-changing treatments by providing integrated and scalable solutions, enabling better decisions, stronger governance, reduced risk, and accelerated impact for clients.

PolyMage Labs is a deep-technology software startup specializing in advanced compilers and code generators designed to accelerate computations within the domain of Artificial Intelligence. Their core technology, PolyBlocks, enables AI programming frameworks and languages, such as PyTorch, to effectively target and exploit high-performance AI hardware. This results in significant performance improvements and optimization for AI workloads. The company was incubated at the Indian Institute of Science (IISc) and is recognized under India's Startup India initiative. PolyMage Labs collaborates with leading AI hardware companies like Tenstorrent and Cerebras Systems to develop state-of-the-art AI compilers, addressing critical challenges in AI hardware and software integration.

The SDG AI Lab is a collaborative initiative established in 2019 by UNDP's Bureau for Policy and Programme Support (BPPS) teams and the Sustainable Finance Hub. Hosted by UNDP’s Istanbul International Center for Private Sector in Development (ICPSD) with support from the Government of Türkiye, it operates under UNDP’s Digital, AI and Innovation Hub since 2025. The lab focuses on leveraging Artificial Intelligence to address challenges and advance sustainable development goals, providing research and solutions in this critical area.

ChemAI is an AI-powered platform designed to industrialize AI in chemistry by working with selected global industry leaders. The tool integrates proprietary data assets with advanced AI capabilities to provide solutions for route prediction, reaction optimization, and autonomous, closed-loop development and manufacturing processes. By leveraging AI, ChemAI aims to transform chemical research and development, offering enhanced efficiency and precision in complex chemical tasks. The platform focuses on practical applications within the industry, enabling leaders to integrate cutting-edge AI tools into their existing workflows.

AILiveSim is a cloud-based simulation platform designed for validating AI and autonomous systems. It offers a robust environment for AI training and testing, allowing teams to conduct realistic, scenario-driven simulations to enhance AI performance. The platform supports comprehensive testing of perception, navigation, and control functionalities across diverse conditions, ensuring thorough validation before real-world deployment. By providing advanced simulation capabilities, AILiveSim helps organizations mitigate testing risks, accelerate the development cycle, and achieve autonomy readiness for applications in maritime, robotics, autonomous vehicles, and mobile machines. It is a critical tool for deep learning, dataset generation, and various AI testing methodologies including regression and functional testing.

Data-science-your-way is an open-source GitHub repository providing comprehensive tutorials on data science engineering and machine learning concepts. It offers practical guidance on implementing various data science tasks, such as working with data frames, performing exploratory data analysis, dimensionality reduction, clustering, and sentiment analysis. The resource uniquely compares how these concepts are applied in both R and Python, using real-world datasets and building actual data products. It aims to equip data scientists with proficiency in both dominant ecosystems, making them well-prepared for the job market or personal projects. The tutorials cover a range of topics from basic data structures to advanced statistical models and even includes applications like web-based sentiment classifiers and information retrieval algorithms.

Biomod AI acts as an AI-powered bioinformatician, offering on-demand expertise for molecular biology workflows. It handles tasks from in silico design to complex data analysis, including primer design, sequence analysis, gene expression, CRISPR design, and NGS pipelines. Users describe their analysis needs in plain language, and the AI processes the request using validated pipelines, with expert review ensuring accuracy. The tool delivers publication-ready reports, data tables, and visualizations, not just raw terminal output. It integrates with over 1,000 tools and databases like BLAST, Primer3, NCBI, and UniProt, providing comprehensive support for life science research without the need for in-house bioinformatics hires.