Axiom Data Science

Anchorage, Alaska, United States

Data management and visualization for scientific research organizations

Axiom Data Science is an informatics and software development firm that focuses on creating scalable solutions for data management, integration, and visualization. They work with a variety of federal, private, academic, and non-governmental organizations involved in ecological, geological, and ocean sciences. The company is headquartered in Anchorage, Alaska, with additional offices in Portland, Oregon, and Wickford, Rhode Island.

Axiom Data Science offers services such as data integration and visualization systems, high-performance computing resources, and comprehensive data management tools. Their solutions are designed to support the entire research lifecycle, enhancing the long-term management and impact of scientific data resources. The firm operates a high-performance compute cluster in Portland, which facilitates large-scale scientific modeling and data processing.

The team at Axiom Data Science includes software architects, engineers, GIS and data analysts, and data librarians, all working together to deliver robust data solutions. Founded by Rob Bochenek in 2006, the company leverages its expertise in scientific geospatial information management to support complex research initiatives and improve data-driven decision-making.

20
YEARS IN BUSINESS
1
SERVICE

Capabilities

Agency details

Team size
51-200 people
Founded
2006 (20 years)

About this agency on Agency List

Axiom Data Science holds an Agency List Score of 72 out of 100.

That score is higher than 23% of the 36,920 agencies Agency List has assessed so far.

The Agency List Score measures how well an agency documents its work in public: named clients, quantified outcomes, and whether those outcomes are attributed to the agency rather than to the client.

It does not measure client satisfaction, price, or availability.

How the Agency List Score is measured

Assessment date

Agency List assessed Axiom Data Science in September 2026, reading 7 pages published on axiomdatascience.com.

The score reflects what Axiom Data Science had published by that date; anything published since has not been read.

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