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We design and implement secure and private data science solutions and cloud architecture to leverage the power of generative AI.
The new generation of Large Language Models (LLMs) enable rapid and efficient insights from vast and diverse sets of data. We design and deploy secure and private AI solutions that leverage LLMs for life sciences organizations.
Large language model solutions designed specifically for life sciences
We build AI/ML cloud-scale bioinformatics applications to analyze multi-omic datasets and accelerate biological insights and drug discovery.
Our platform, ERGO, allows scientists to quickly discover new insights from exponentially growing biomedical datasets to make more informed decisions. These insights can be used to put assay results in context, validate targets, support pathway analysis, gene-to-disease relationship discovery, and advance drug development pipelines.
Cloud-scale bioinformatic and NLP solutions for faster drug development & target validation
We build data science and data engineering platforms to store and process clinical trial data to discover biomarkers to stratify patients, assess therapeutic response, optimize treatment, and predict participant behavior.
Our solutions incorporate the many types and sources of data captured in clinical trials such as multi-omics, sensors, EEG, ECG, actigraphy, gaze, video, voice, digital therapeutic applications, clinical data, and patient reported outcomes.
Solutions for complex,
multi-modal biomarker discovery
We create digital strategies, solutions, and workflow automations for healthtech, medical devices, and Software as a Medical Device (SaMD) to accelerate time to market.
We have experience with the major cloud vendor tools and with cloud native, open source tools to connect data scientists to scalable compute and storage resources via Kubernetes. Our solutions allow easier design, creation, versioning, and deployment of complex data pipelines. For knowledge intensive applications, our solutions support large scale biomedical knowledge networks. Our MLOps solutions incorporate custom model monitoring and automated retraining approaches. We also offer managed services for clients that have not yet built their ML & Data Engineering teams enabling digital transformation.
Full stack AI applications for healthtech, digital therapeutics, medical devices, and SaMD
We design and implement secure and private data science solutions and cloud architecture to leverage the power of generative AI.
The new generation of Large Language Models (LLMs) enable rapid and efficient insights from vast and diverse sets of data. We're experienced in designing and deploying secure and private AI solutions that leverage LLMs for life sciences and healthcare focused organizations.
We build AI/ML cloud-scale bioinformatics applications to analyze multi-omicdata sets and accelerate biological insights and drug discovery.
Our platform, ERGO, allows scientists to quickly discover new insights from exponentially growing biomedical datasets to make more informed decisions. These insights can be used to put assay results in context, support pathway analysis and gene-to-disease relationship discovery, and advance drug development pipelines.
We build data science and data engineering platforms to store and process clinical trial data to discover biomarkers to stratify patients, assess therapeutic response, optimize treatment, and predict participant behavior.
Our solutions incorporate the many types and sources of data captured in clinical trials such as multi-omics, sensors, EEG, ECG, actigraphy, gaze, video, voice, digital therapeutic applications, clinical data, and patient reported outcomes.
We create digital strategies and solutions for connected medical devices and Software as a Medical Device (SaMD) to accelerate time to market.
We work with connected medical device and SaMD teams to develop a digital strategy that considers the data, algorithms, architecture, integrations, and patient and provider experience.
We design mobile applications to optimize patient engagement and ensure the capture of valuable real-world data. We train predictive models to monitor health conditions and generate alerts when interventions are required. We design and implement cloud infrastructure that supports MLOps considerations including versioning, retraining, deployment, and monitoring.
We use state-of-the-art methods to extract domain-specific entities and learn semantic relationships from unstructured text data (scientific literature, patents, clinical trials, etc.)
We engineer video, voice and text analytics products to quantify human behavior and extract digital biomarkers to provide information about engagement, emotion, mental state and physical health.
We are domain experts in computational biology with technical expertise in biomarker discovery, genomics / GWAS, mechanism of action (MOA), multi-omics and pathway studies.
We engineer custom pipelines for feature extraction and modeling across a wide variety of data types (customer, device/sensor, images, etc.). Our team has expertise in time series forecasting, computer vision, and other statistical machine learning methods including deep learning.
Our AI team brings technology and perspectives from multiple disciplines including computational biology, pharmacology, neuroscience, biomedical engineering, physics, software engineering, and computer science.
Our Approach
Unleash the Potential of Large Language Models (LLMs) in Life Sciences
Is your organization fully leveraging the value of LLMs and Generative AI to accelerate your mission? Our team of Data Scientists discuss use cases for companies in Life Sciences.
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