Custom solutions that harness
best-in-class data engineering, data visualization and AI

At Eigen Systems, our approach to AI innovation is guided by a core set of principles

Custom solutions that harness best-in-class data engineering, data visualization and AI

At Eigen Systems, our approach to AI innovation is guided by a core set of principles

Our approach to AI innovation is guided by a core set of principles

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Transparency

In absence of well motivated and documented actions relating to data ingestion, pre-processing, feature engineering and modeling, analytics pipelines will seldom behave as intended. We are committed to delivering cutting edge innovation to our customers that is contextualized within a catalog of meta-parameters and design decisions. An AI ‘flight envelope’ that lets customers know, leverage and repurpose our work

Fairness

A number of factors ranging from optimization methodology, variable selection approach, modeling assumptions as well as the underlying data generation mechanisms will cause statistical algorithms to be biased. We believe that AI algorithms that are deployed without a bias range-check, will frequently result in harm. We invest extensively in tooling and oversight processes that aim to a conservatively self-evaluate our algorithms for bias.

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Accountability

We are accountable to our customers not just to deliver on our contractual commitments, but also to develop and sustain a high degree of trust in our delivery mechanisms. We actively seek criticism. When we have achieved a milestone in building our customers’ trust, we challenge ourselves to raise the bar slightly. 

We love working with ambitious people. Let’s build something great together now.

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We love working with ambitious people. Let’s build something great together now.

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Company

About

Careers

News

Blogs

Contact

Support

Help Center 

Status 

Report a Bug

Chat Support

 

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