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Every successful AI application needs more than just a predictive model - it requires a strategy to serve the business, infrastructure to scale, and a user experience to share the information learned. We build successful full stack AI solutions in life sciences and healthcare.

Our work in action

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GPT based large language models (LLMs) for life sciences

The power of large language models to build a structured understanding of disease biology

Generative AI

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Data science strategy for biomarker discovery

Design a robust data science driven approach to analyze clinical trial participant data with the goal of driving stratification, predicting endpoints, and discovering predictive biomarkers

Clinical R&D

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Voice and video analytics for pediatric mental health

Video Analytics platform driving biomarker discovery for mental health

Clinical R&D

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A scalable data science platform to orchestrate clinical trial analysis workflows and analyze results

Design and implement a generalizable, scalable platform to support biomarker discovery on clinical trial data

Clinical R&D

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Accelerating innovation in pharma with advanced language models

Harnessing LLMs to Expedite Scientific Discovery and Unlock New Insights

Generative AI

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Unifying biological knowledge for AI powered decision making in life science

Leveraging LLMs to Drive Informed Decision-Making

Generative AI

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Create a digital biomarker platform for neuropsychiatric disorders

A better way to assess patients with depression and anxiety for a company bringing new therapeutics to market for neuropsychiatric disorders

Clinical R&D

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Digital strategy and mobile app build to collect real world evidence for a medical device

Design, build, launch and maintain a patient mobile application to capture, analyze, and present data insights to patients using a neuro device that treats neuropsychiatric disorders

Digital Health

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A better way to identify and prioritize drug targets

Identify therapeutic candidates via multiomics informatics and evaluate top candidates against published literature to prioritize the best targets for drug development

Pre-Clinical R&D

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AI/ML strategy for a medical device

Identify the most valuable AI/ML use cases for a medical device to improve patient outcomes

Digital Health

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Build an AI platform to find targets for genetic engineering to improve crop yield

Analyze plant genomic data and recommend genetic engineering targets to increase yield and resilience of important, staple food crops using a scalable AI platform

Pre-Clinical R&D

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Improve clinical trial participant retention

Predictive models of engagement and behavior to guide personalized participant retention strategies in clinical trials

Clinical R&D

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A data science platform to support biomarker discovery

Design and implement a generalizable platform to import, process and quality assure clinical trial data to support data science analyses

Clinical R&D

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Identify potential mechanisms of action for a promising therapeutic using integrative analysis of proteomics data

Analyze proteomics data to guide the next phase of drug development of a novel candidate that showed promise in in-vitro and in-vivo studies

Pre-Clinical R&D

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Digital strategy to connect a new medical device to the cloud

Design the software and cloud architecture to connect an ophthalmic imaging device to data processing pipelines and deep learning infrastructure

Digital Health

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Guide medical diagnosis with biometric eye tracking

Design and build a realtime gaze tracking application to assess cognitive performance in dementia, concussion, and intoxication patient cohorts

Digital Health

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Accelerate COVID-19 research with AI driven insights

Natural language processing (NLP) to extract relationships and themes from the evolving COVID-19 scientific literature

Pre-Clinical R&D

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Monitor heart rate variability from video to reduce reliance on wearable devices

Empower telehealth and distributed clinical trial applications with video based heart rate (HR) and variability (HRV) measures

Digital Health

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A data science platform designed for life sciences

Design and implement a data science platform to support the full life cycle of ML/AI

Digital Health

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Design and develop a multiomics platform for discovery of drug targets

Our client needed a unified approach to help them understand the biological context of their data and support their internal workflows.

Pre-Clinical R&D

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Assessing treatment efficacy and disorder subtypes in clinical trials

Biomarker driven machine learning to exclude treatment non-responders from analysis and inform biomarker-based exclusionary criteria in future trials

Clinical R&D

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Generalizable ECG processing for biomarker discovery

A digital biomarker and data pipeline for clinical trials

Clinical R&D

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ML modeling for cancer diagnosis

A computer vision pipeline and an ML model for a cancer diagnostic device.

Digital Health

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A pathway enrichment tool for interpreting protein experiments

A full stack application to explore the biological context of large scale proteomics results

Pre-Clinical R&D

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Predictive biomarkers for non-invasive cancer screening

Biomarker discovery platform to elucidate key bioprofiles and significantly improve ML model performance

Clinical R&D

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A bioinformatics pipeline for proteomics

A locally deployed command line tool and database for the analysis of protein assays across multiple experimental types and tissues

Pre-Clinical R&D

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Analysis of health clinic KPIs to measure patient engagement and adherence

Time series analysis and statistical comparisons of health clinic KPIs to answer patient and business impact questions

Digital Health

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Scalable bioinformatic pipelines to interpret the soil microbiome

A pipeline to automate the processing of whole genome sequencing files to generate microbiome insights

Digital Health

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Predictive modeling to identify digital biomarkers to accelerate oncology diagnosis for a medical device

Machine learning to maximize signal-to-noise to differentiate between normal and malignant tissue.

Digital Health

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Production data science for a medical device

Design and build production architecture for data science models for a medical device

Digital Health

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Increase health cost transparency with payor data aggregation

Ingest and unify large scale health payor data to increase healthcare cost transparency for patients

Digital Health

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A cloud agnostic framework for streamlining auto-scaling computer vision pipelines

Migrate existing computer vision pipelines from Vertex AI to Kubeflow

Digital Health

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Predict the cost and timeline of an injury claim

Better prioritize and allocate resources to the most serious claims

Digital Health

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Strategic consulting to build a scalable data engineering team

Create a strategy to build a data engineering team to support a biotech company's rapid growth.

Tech

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Measure bias in emotion detection of underrepresented groups

Improve the performance of industry standard emotion detection models on people of color

Clinical R&D

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Automated quality assurance for medical image (MRI) data sets

Automatically evaluate which MRI scans can be used for subsequent analysis and modeling

Digital Health

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Give instructors the analytics they need to support student success with online learning

Quantify and predict student interactions to identify under performing students

Tech

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Optimize a manufacturing process with anomaly detection

Train predictive models on manufacturing process time-series data to predict and prevent future faults

Tech

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Develop predictive models to power the sales process

Use data science to identify the highest value sales targets

Tech

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Data science to recommend CPG campaigns to targeted audiences to maximize ROI and sales lift

Train machine learning models to predict consumer purchase behavior to optimize CPG campaigns

Tech

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Production data science for sensor based time series data

Design and build production architecture for data science models based on time series data from sensors

Tech

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Automate data engineering normalization for public real estate data

Use data science techniques to auto-normalize and unify data for an organization focused on showing the impact of the governmental policy decisions on real estate values

Tech

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Automatically discover themes from 6 million new web articles published daily

Develop specialized natural language processing (NLP) models to extract and organize newly published web content for a digital PR firm

Tech

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Automatically extract & organize information on 250,000+ food products

Use machine learning algorithms to extract and organize food product ingredients from 2 million+ product label images and classify products into 2,000+ categories

Tech

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Unify global user data to enable real time analytics

Build ETL (extract, transform and load) pipelines and create a realtime unified store of analytics ready data from sources including web, social media, and app servers

Tech

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Automate taxonomy construction and product classification

Develop an algorithm to transform 2.5 Tb of text for ~8.5 million unique products into a hierarchical taxonomy and unified naming convention

Tech

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Understand how discounts affect consumer behavior

Analyze purchase history trends to determine the impact of discount campaigns on customer visits and purchases

Tech

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Automate human decision making to maximize sales

Develop a pipeline that optimizes sales assignments to leads to increase revenue

Tech

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Data science for consumer research analytics

Data engineering, analytics, and NLP to understand brand, consumer and market trends for pharma clients and more

Tech

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Automate industrial asset management

Leverage computer vision algorithms for object detection and image classification to extract industrial asset information

Tech

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Generate geospatial visualizations to understand real time fluid distribution

Software engineering to translate time series data into actionable insights

Tech

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See all life sciences case studies

Our tech work in action

See all tech case studies

Give instructors the analytics they need to support student success with online learning

Quantify and predict student interactions to identify under performing students

Learn More

Optimize a manufacturing process with anomaly detection

Train predictive models on manufacturing process time-series data to predict and prevent future faults

Learn More

Develop predictive models to power the sales process

Use data science to identify the highest value sales targets

Learn More

Data science to recommend CPG campaigns to targeted audiences to maximize ROI and sales lift

Train machine learning models to predict consumer purchase behavior to optimize CPG campaigns

Learn More

Automate data engineering normalization for public real estate data

Use data science techniques to auto-normalize and unify data for an organization focused on showing the impact of the governmental policy decisions on real estate values

Learn More

Automatically discover themes from 6 million new web articles published daily

Develop specialized natural language processing (NLP) models to extract and organize newly published web content for a digital PR firm

Learn More

Automatically extract & organize information on 250,000+ food products

Use machine learning algorithms to extract and organize food product ingredients from 2 million+ product label images and classify products into 2,000+ categories

Learn More

Unify global user data to enable real time analytics

Build ETL (extract, transform and load) pipelines and create a realtime unified store of analytics ready data from sources including web, social media, and app servers

Learn More
See all tech case studies
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