SolasAI, Inc.
Responsible & Explainable AI software empowering companies to remove unfairness from their models without hurting their business.
- Stage Product In Market
- Industry Software
- Location Philadelphia, PA, USA
- Currency USD
- Founded May 2021
- Employees 10
- Incorporation Type C-corp
- Website solas.ai
Company Summary
We built the only end-to-end, industry agnostic artificial intelligence solution for detecting, explaining, and removing discrimination and other forms of bias in predictive models built by the customer.
Our current and target customers include lenders, insurers, healthcare, and other large enterprises & digital companies.
Our primary GTM is consulting, SI, and tech channel partners including Capco, BLDS LLC, and Fairly AI with more on the way!
Team
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CEOGrew REAN Cloud’s (acquired by Hitachi Vantara) application modernization, Big Data and AI/ML business from a $1M contract to a $12M line of business in 1 yr.
Developed and led sales for several product and services offerings across data modernization, AI/ML, Data Governance, and Big Data after being acquired by Hitachi Vantara.
Transformed Sentrana, Inc. from a services-led data management & statistics company to a product-first AI/ML company.
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Chairman of the BoardSpecializes in the application of statistics in law, especially in analyzing data for statistical evidence of discrimination
Testified in Court for both Plaintiffs and Defendants in more than 200 cases including many precedent-setting large class actions
Conducted statistical studies and testified about discrimination in lending, housing, and insurance
Founder of BLDS, LLC, the premier employment, housing and fair lending consultancy in the US
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CTONick created the groundbreaking method that enables the ability to test, explain and generate less discriminatory alternatives for standard, machine learning and artificial intelligence algorithms
Partner at BLDS LLC, where he heads the Artificial Intelligence Practice which heavily uses the SolasAI product
Author of multiple foundational research and academic articles for algorithmic fairness, Explainable AI and Responsible AI
Advisors
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