Productize Your Machine Learning Workflow

Deployment of machine learning systems
Data pipeline design and build
Cloud and on-prem architectures
Managed services and custom infrastructure

Model Interpretability and Visibility

It’s easy to build a machine learning model; it’s not so easy to deliver that model to your users in a reproducible, abstracted environment. It takes more than data science expertise to enable productionized machine learning in your org. Expero can help! We build systems for customers to productionize data pipelines and ML models from experimentation, to training and inference, through delivery to users, and back through the model staleness/update cycle.

Productionzed Model Deployment

Cloud and On-Prem

Scalable Data Pipelines

Custom vs. Managed

Connect with one of our Data Science experts

Productionized Model Deployment

Models: From Sandbox to Users

Production pipelines for models from experimentation into scalable, productionized code
Serialization and archival of models for production roll-backs and reproducibility
Containerized and/or microservice-based architectures for scalability and abstraction
Connect batch training time and streaming inference time models to same data source to mitigate training/serving skew

Scalable Data Pipelines

Unifying Data Science and Data Engineering

Batch and streaming data pipeline architectures to enable fully-scalable data products
Message queueing through just-in-time ETL and data warehousing infra
Aggregated batch data structures and offline massive data processing
Serialization of data pipelines for fully reproducible and production versionable pipelines

Cloud and On-Prem

Compliant, Extensible Architectures

On-Prem, full-cloud, and hybrid data pipeline, processing, and modeling solutions
Combination burstable architectures for flexible data loads
Intelligent pricing forecast and vendor selection processes to maintain data compliance and minimize operating expenses

Custom vs. Managed Infrastructure

Hands On or Hands Off

Fully custom solutions, fully managed solutions, or somewhere in between
Data pipelines, model building and deployment, data exploration and analytics, business intelligence
Managed solutions from data collection through data cleaning, data processing, model building, deployment, and integration