Ordinal Science builds practical AI solutions for industry. Our expertise is in computer vision, anomaly detection, multi-variant predictive modeling, and ensemble AI systems.
Adaptive AI vision systems for manufacturing QA, healthcare, security and transportation.
Realtime anomaly detection in sensor data, IoT streams and software data flows.
Neural network ensembles for complex problems in planning, behavior prediction, security.
Merge Big Data and IoT - Case Study.We collect data from thousands of equipment sensors, merge it with historical data stores, and detect anomalies in real-time.
Internet of Things
Ordinal Science designs and develops IoT pipelines. We recommend sensor arrays for data acquisition platforms, build high throughput software pipelines, and connect streams to realtime analytics.
Design the right data acquisition system or integrate existing platforms into Internet of Things.
High Velocity Pipelines
Implement high volume data ingestion and processing with Kafka, Spark, and cloud streaming platforms.
Gain actionable intelligence with realtime data analytics, predictive modeling and machine learning.
Accident Risk Prediction - Case Study.We aggregate information from vehicles every second and analyze driving patterns with our machine learning systems. We deliver up to the minute evaluation of accident risk for each active driver.
Big Data Consulting
Ordinal Science helps companies to scale technology infrastructure to match the requirements of growing data loads. We evaluate existing deployment, recommend designs to accommodate emerging business cases, then implement the plan with your team.
Assess and Advise
We collaborate to identify current bottlenecks and recommend technology path for non-disruptive migration.
We develop software to materialize big data infrastructure ideas into a prototype, then scale to production.
Implement and Support
We work with your team to smoothly rollout the scaled solution without disruptions to your business.
Driver Retention - Case Study.We combine employee work history, geographic work regions, route exceptions, and other features into a predictive model. Your team can see drivers at the highest risk of leaving and focus retention efforts accordingly.
A large data store is only as relevant as the value you can extract from it. Our team helps companies advance existing analytics programs with real-time and predictive capabilities.