We build AI/ML cloud-scale bioinformatics applications to analyze multi-omic data 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.
Contact us to learn more about our work in Biotech or read our case studies.
Tools for patient enrichment, biomarker discovery, and participant behaviour.
We build data science and data engineering platforms to store and process clinical trial data to discover biomarkers, stratify patients, assess therapeutic response, optimize treatment, and refine drug discovery and development pipelines.
Our solutions incorporate the many types and sources of data captured in clinical trials such as multi-omics, medical devices, EEG, ECG, actigraphy, gaze, video, audio, digital therapeutic applications, clinical data, and patient-reported outcomes.
Contact us to learn more about our work in Clinical Trials or read our case studies.
We create digital strategies and solutions for connected medical devices and 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 collaboration, traceability, model monitoring, and maintenance.
Contact us to learn more about our work in Medical Devices and SaMD or read our case studies.
AI/ML to measure physiology, behavior and content from video to discover biomarkers and improve care.
Al/ML solutions for telehealth and telepsychiatry to improve the telemedicine experience and discover behavior biomarkers for more successful clinical trials. Our video analytics platform VIVO extracts physiological and behavioral indicators such as heart rate, blood pressure, and emotional state, and applies Natural Language Processing (NLP) to extract valuable insights from the spoken words of the telemedicine visit.
Contact us to learn more about our work in Telemedicine and Telepsychiatry, or read about our Vivo platform.
We build AI/ML cloud-scale bioinformatics applications to analyze multi-omic data 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.
Contact us to learn more about our work in Biotech or read our case studies.
Cloud-scale bioinformatic and NLP solutions for faster drug development
Tools for patient enrichment, biomarker discovery, and participant behaviour.
We build data science and data engineering platforms to store and process clinical trial data to discover biomarkers, stratify patients, assess therapeutic response, optimize treatment, and refine drug discovery and development pipelines.
Our solutions incorporate the many types and sources of data captured in clinical trials such as multi-omics, medical devices, EEG, ECG, actigraphy, gaze, video, audio, digital therapeutic applications, clinical data, and patient-reported outcomes.
Contact us to learn more about our work in Clinical Trials or read our case studies.
Tools for patient enrichment, biomarker discovery, and participant behavior
We create digital strategies and solutions for connected medical devices and 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 collaboration, traceability, model monitoring, and maintenance.
Contact us to learn more about our work in Medical Devices and SaMD or read our case studies.
Full-stack AI applications for medical devices and Software as a Medical Device (SaMD)
Al/ML solutions for telehealth and telepsychiatry to improve the telemedicine experience and discover behavior biomarkers for more successful clinical trials.
Our video analytics platform VIVO extracts physiological and behavioral indicators such as heart rate, blood pressure, and emotional state, and applies Natural Language Processing (NLP) to extract valuable insights from the spoken words of the telemedicine visit.
Contact us to learn more about our work in Telemedicine and Telepsychiatry, or read about our Vivo platform.
AI/ML to measure physiology, behavior and content from video to discover biomarkers and improve care
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 proof-of-concept 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.
Engineering to deploy at scale
After the AI lighthouse project has established feasibility, we develop cloud-based infrastructure, data engineering pipelines, data storage, and the integrations necessary to operationalize your ML application. We are able to deploy most applications into production within 3 to 6 months.
Drive innovation. We consider how your data sets 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.
Engineering to deploy at scale. After theAI lighthouse project has established feasibility, we develop cloud-based infrastructure, data engineering pipelines, data storage, and the integrations necessary to operationalize your ML application. We are able to deploy most applications into production within 3 to 6 months.
“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.”
