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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 inclinical 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 andSoftware 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 design and implement data science platforms and cloud architecture to support the data science lifecycle and enable scalable model performance for production applications.
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. To support full MLOps solutions, we can incorporate custom model monitoring and automated retraining
approaches. We offer managed services to support our clients that have not yet built their Data Engineering and ML Engineering teams.
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.
Cloud-scale bioinformatic and NLP solutions for faster drug development
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 inclinical 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 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 and healthcare workflow automation that supports MLOps considerations including versioning, retraining, deployment, and monitoring.
Full stack AI applications for healthtech, medical devices, and SaMD
We design and implement data science platforms and cloud architecture to support the data science lifecycle and enable scalable model performance for production applications.
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. To support full MLOps solutions, we can incorporate custom model monitoring and automated retraining approaches. We offer managed services to support our clients that have not yet built their Data Engineering and ML Engineering teams.
Data science platforms and cloud architecture to support the datascience lifecycle and enable scalable model performance
Drive innovation.
We consider how your datasets can be leveraged to productize AI-driven solutions to accelerate your mission. We evaluate feasibility, assess market opportunity, and build an AI roadmap.
Validate a concept.
We design AI light house projects focused around an arrow scope and achieve proof of concept results. De-risk your AI investment and confirm a path to production.
Design the UX and architecture.
We design the user experience, APIs, data storage and analytic tools in the context of the current and future workflows.
Build the application.
We build the application in your cloud environment, working with your team to ensure usability, long-term performance and maintainability.
Deploy at scale.
We construct cloud infrastructure required for data storage and pipeline orchestration, resulting in enhanced transparency and optimal model and application performance.
Drive innovation. We consider how your datasets can be leveraged to productize AI-driven solutions to accelerate your mission. We evaluate feasibility, assess market opportunity, and build an AI roadmap.
Validate a concept. We design AI lighthouse projects focused around a narrow scope and achieve results in an 8 to 12 week timeline. De-risk your AI investment and confirm a path to production.
Design the UX and architecture. We design the user experience, APIs, data storage and analytic tools in the context of the current and future workflows.
Build the application. We build the application in your cloud environment, working with your team toensure usability, long-term performance and maintainability.
Deploy at scale. We construct cloud infrastructure required for datastorage and pipeline orchestration, resulting in enhanced transparency and optimal model and application performance.
We offer a managed services agreement to support and maintain the application for the lifetime of the partnership. Our MLOps workflows continuously monitor, retrain, and version models that are critical to maintaining your long-term success.
“We are entering a golden age of biotech - an age of exponential innovation driven by our increased understanding of biology and accelerating computational technology. We are committed to using our expertise to accelerate our clients' advances in human health, nutrition, therapeutics, diagnostics and behavior, creating profound advances for humanity.”
