SolasAI provides a software suite that integrates with existing machine‑learning pipelines to automatically detect, explain, and remediate algorithmic disparities and bias without requiring model replacement. The platform delivers root‑cause analysis, generates alternative models that preserve performance, and produces regulator‑ready documentation, helping risk, compliance, and data‑science teams in finance, healthcare, and lending meet fairness and governance requirements.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations deploying AI models often lack tools to identify and quantify algorithmic disparities, leading to regulatory risk, unfair outcomes, and reduced trust among customers and employees.
Solution
SolasAI offers a software suite that integrates with existing machine‑learning pipelines to detect, explain, and remediate fairness and performance issues without requiring model replacement. The platform automatically audits models for bias, drift, and quality, then generates actionable recommendations and alternative model versions that maintain overall performance. It also produces regulator‑ready documentation and reports, streamlining compliance and decision‑making for risk and compliance teams. By embedding up‑to‑date legal guidance and statistical best practices, SolasAI enables businesses to deploy AI responsibly while preserving commercial value.
Target Audience
Primary customers are risk, compliance, and data‑science teams at large enterprises—particularly in finance, healthcare, and consumer lending—who must meet fair‑lending, anti‑discrimination, and AI governance regulations.
Features
- Seamless integration with existing models; no need to rebuild or replace systems
- Automated disparity detection across multiple protected attributes using state‑of‑the‑art statistical tests
- Root‑cause analysis that explains which features drive bias and overall model value
- Generation of viable alternative models that reduce unfairness while preserving predictive performance
- Comprehensive, customizable compliance reports and documentation ready for regulators
- Continuous monitoring for drift, quality, and fairness risks with human‑in‑the‑loop oversight
- Policy engine to encode organization‑specific fairness rules, thresholds, and alerts