AI to advance your life science mission.
From discovery to clinic.

Accelerate innovation. Improve outcomes. Get there first.

BioPharma
R&D

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.

BioPharma
R&D

Cloud-scale bioinformatic and NLP solutions for faster drug development

Clinical Trials

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.

Clinical
Trials

Solutions for complex,
multi-modal biomarker discovery

Health
Tech

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 work with healthtech, medical devices, 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 and healthcare workflow automation that supports MLOps considerations including versioning, retraining, deployment, and monitoring.

HealthTech

Full stack AI applications for healthtech, medical devices, and SaMD

Production
Data
Science

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.

Production
Data Science

Data science platforms and cloud architecture to support the data science lifecycle and enable scalable model performance

BioPharma R&D

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.

Clinical Trials

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.

Medical Devices and SaMD

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.

Production Data Sciences

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.

Experts in AI and Life Sciences

We are a mission driven team of data science experts partnering with our clients to integrate analytics and machine learning capabilities to improve care, enhance discoveries, and enable data-driven decisions.
Agricultural Biotech
Biopharma
Biotech
Digital Health
Healthcare
Insurance
Tech
AI strategy
Bioinformatics
Clinical informatics
Digital biomarkers
Genomics studies
Human behavior
Image analysis
MOA/pathway studies
Multiomics studies
Medical device analytics
Proteomics studies
Scientific text NLP
Anomaly detection
Cloud tools and resources
Computer vision
Data engineering
Machine learning & deep learning
Natural language processing
Signal Processing
Speech analytics
Time series analytics
Video analytics
“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.”

- Mercury Data Science

Our areas of focus

Natural Language Processing

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.)

Video and Voice Analytics

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.

Bioinformatics

We are domain experts in computational biology with technical expertise in biomarker discovery, genomics / GWAS, mechanism of action (MOA), multi-omics and pathway studies.

Machine Learning

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 Platforms

Our cloud based platforms allow us to rapidly build solutions focused on biomedical data and video analytics.

Our work in action

We develop, deploy, and manage AI driven solutions.

Our work supports these industries: Biotech/BioPharma, MedTech, Digital Health, Healthcare, Insurance, Tech

Next Steps

From strategy to deployment, we partner with you where you are in the AI/ML lifecycle.

News

Our take on the world of Healthcare, Life Sciences, and Data Science.

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We’re proud to call these clients partners

Partner Logo Blackthorn
partner logo benson hill
partner logo artidis
partner logo braincheck
partner logo lung therapeutics
partner logo resonant
partner logo aclaimant
partner logo ripple science