As the cost of software development has plummeted, data has become a competitive advantage. We are in the age of abundant data availability but garnering insights from this disparate and unstructured data is becoming a requirement for businesses looking to optimize and thrive.

Many data science projects fail. To ensure project success, the best data scientists require the support of excellent data engineers.

All engineers require iterative project guidance. Business stakeholders require clear project insight to provide adaptive feedback. Putting all the pieces in place can be challenging and expensive.

We are a team of enterprise data engineers, mathematical PhDs,
technical project managers and developers.

Richard Morrison

Data Architect


Expert ETL and data engineer. A passion for distributed systems and large data transformation.

Hiron Roy

Al/Machine Learning


Specialist in building enterprise-class, highly available, fault tolerant big data infrastructure.

Josh Miramant

CEO


Enterprise application developer. Built 2 big data companies. Serial dot connector and deal maker.

Kiron Roy

Big Data DevOps


ML expert with experience building custom cutting-edge models and ETLs for large enterprises.

We've built production data-driven business solutions for over 10 years. Successful data science projects can be difficult to actualize. We work with clients from start to finish to help identify the best tools and project scope, then implement the best solution.

Our Clients Love Us
Our Process

It all starts with data. Our flexible 4 step approach to unlocking
the value in client data:

  • 1. Discover
    Explore the potential of unstructured data. Our data advisory services give you a clear assessment and project roadmap to realize more value in data.
  • 2. Structure
    Unified data architecture is a fundamental need for modern data analysis. We build cutting-edge distributed data warehousing that supports even the greediest algorithms.
  • 3. Model
    Bringing modern analytics to life. Our PhDs and Data Scientists select and test the best algorithms to meet your business needs.
  • 4. Integrate
    Without integration, there is no value. We work with companies to identify their highest impact areas to deliver insights and predictive analytics.