OmniSci provides real-time data visualizations for big data analytics in pharma so process analysts and data scientists can monitor processes and improve drug manufacturing, engineering, and supply chain management. Instantly comb through EHRs, publications, genomics data, and clinical trials for precision medicine.

  • The pharma and biotech industry will exceed $1.2 trillion in revenue by 2022
  • The top 10 drugs in the US are only between 4% to 25% effective
  • Using Big Data to inform decision making could generate $100 billion of value in US healthcare

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OmniSci GPU-accelerated Analytics


Research Genomic Data

The Challenge

A human genome is equivalent to about 1.5 gigabytes. About three genomes fit on a DVD. Genomic medicine attempts to build individualized strategies for diagnoses or therapies that utilize genomic information, but legacy analytics aren’t suited to iterative trials at scale. Legacy tools aren't suited to visual exploration of the genomic data for hundreds of individuals.

OmniSci Solution

OmniSci offers researchers a platform to discover genetic opportunities for trials of new life-saving treatments using genomic data science. When scientists can visualize and cross-filter data with such transformative efficiency, they uncover hidden patterns and cryptic correlations between our genetics and our risks for cancer, heart disease or inherited disorders.

Bioconductor Project

Compelling visualization of genomics data


Overview of visualization techniques and methods for genomics data


How GPUs are used to understand agricultural genomics data

Predict Hospital Staffing Levels

The Challenge

Hospitals around the world look to optimize their operational efficiency by predicting optimal staffing levels without putting lives are at risk during periods of peak demand. Healthcare administrators lack a common visualization platform to track results and extend their machine learning models for precise staffing predictions.

OmniSci Solution

The OmniSci platform lets hospital staffing analysts visualize a model’s predictions and compare them to actual staffing outcomes. Every click on a chart generates SQL queries that complete in milliseconds, then all visual elements instantly refresh, giving you the best clinical pathway for your patients. Likewise, the number one goal of a hospital is to keep readmission rates low. Imagine using all of this data to create ML models that guide staffing decisions and predict readmission and recommend preventative treatment.

New England Journal of Medicine

Nurse-Staffing Levels and the Quality of Care in Hospitals

Harvard Business Review

Why Hospitals Need Better Data Science

Rapid Response to Cyber Incidents

The Challenge

Unauthorized intruders infiltrate systems of national governments and global corporations by hiding their tracks across identities, devices and behavior. Teams in Security Operations Centers (SOCs) receive countless incident alerts, the majority of which are false alarms.. When an actual attack has occurred, slow analytics across fragmented data make it impossible for security teams to identify and patch vulnerabilities before more data is compromised.

OmniSci Solution

OmniSci's zero-latency visual Investment Management data analytics don't require pre-aggregation., That speed gives financial security analysts immediate insight. They can perform hundreds of queries in quick succession, without losing access to any granular information. SOC teams can investigate far more cyber alerts every day, and when they do find a vulnerability they have the data they need to apply the right patch quickly, maintaining an ongoing patch cadence that deters future attacks.

Watch OmniSci Demo

See how OmniSci Immerse interactively explores your Google Analytics data

Ponemon Institute

How malware destroys an organization’s reputation and financial stability

eSecurity Planet

Industry experts discuss how AI is shaping the future of IT security

Location and Mobile Services

The Challenge

Location-based metadata can create a wealth of new business opportunity. Yet this stream of data scales too quickly for developers who want to create apps showing relationships between the location of people and equipment to other operational data. Existing analytic engines cannot keep up with the scale and speed of today’s operational data.

OmniSci Solution

The OmniSci Core SQL engine was designed for this new era of location intelligence. It can process billions of rows of structured data in milliseconds and visually render those with the same speed. This dramatically accelerates logistics analytics, marrying vital business datasets to mobile location metadata. OmniSci Core is open-source, in-house or third-party developers can easily create new apps to deliver analytic apps for exploring layers of operational location and logistics data.

OmniSci Customer Case Study

How Skyhook uses OmniSci for location intelligence and insights


Using GPU-Accelerated Analytics to Deliver Competitive Insights in Telecommunications

OmniSci Video

OmniSci overcomes the data challenges of speed, scale, and real-time interaction, to provide telecommunication carriers instant insights from datasets too big or too fast for traditional analytics platforms.

Predict Machine Failure with IoT Data

The Challenge

Artificial intelligence is increasingly used to predict machine failure, to minimize downtime and maintenance costs for automobiles, ships or aircraft. Yet engineers have trouble explaining an AI model’s black-box recommendations, so leaders fall back on human experience and "gut" guesses in favor of predictive analytics in logistics industry to keep field equipment running as intended.

OmniSci Solution

OmniSci visual analytics makes AI models more accessible to the scientists who create them and to the broader audiences of logistics leaders, military commanders or regulators who must understand those models. With immediate visual exploration of the same underlying elements that trained AI models, anyone can trust their predictions.

GTC Presentation

Volkswagen Uses OmniSci to Visualize and Interrogate Black Box AI Models


Blending Man And Machine To Get The Most From AI

IoT Agenda

Five ways IoT is transforming the manufacturing industry