About

Our Values

Vero AI has one purpose - to find objective truth in AI and complex automated systems. Beyond the marketing hype, what do these systems really do? Are they biased? Are they effective? How do they score on the comprehensive VIOLET Impact Model? Put simply, Vero AI aims to scale the scientific process, so you can know with certainty whether and how your systems are working. To make Vero AI work, it is imperative that it is fully independent and not beholden to any outside interests. Vero AI does not accept payment from tool developers in exchange for public praise or awards. Instead, Vero AI works directly with tool developers and users to evaluate their VIOLET Impact Model profiles in context of their implementations.

Rigor

No shortcuts, no "good enough." Vero AI invests the time to reach the highest level of confidence feasible.

Objectivity

Just the cold, hard facts. Vero AI roots through data and information, casting off subjective and unreliable elements to find the truth.

Humanitarianism

Humans first, always. AI and other advanced tech exists to make human lives better. Vero AI shines a light on whether and how technology benefits humanity.

Humility

Being truly objective requires humility - Vero AI approaches analyses with "beginner's mind": with no preconceived notions, and always with a willingness to be proven wrong.

Independence

Financial and other outside forces can never sway Vero AI's conclusions. VIOLET Impact Model scorecards and other results are untouchable.

Service

Ultimately, Vero AI seeks to support and uphold humanity and the humans who work at our clients. Our team strives for total client satisfaction.

Our Team

A collection of scientific thinkers dedicated to objective knowledge

The VIOLET Impact ModelTM

The VIOLET Impact ModelTM, a holistic framework that provides a comprehensive and objective view of the impact of algorithms and complex systems.

Visibility

The degree to which affected individuals are aware of how algorithms are being used.

Integrity

Whether the algorithm does good and whether it is fair to all classes.

Optimization

How well the algorithm was built.

Legislative Preparedness

How well the algorithm and surrounding systems are prepared to meet the requirements of current and upcoming legislation.

Effectiveness

How well the algorithm works.

Transparency

How clearly understood the algorithm and its uses are internally.

Contact us for a free consultation

Contact us for a free consultation

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