SolasAI Illumination is the company’s latest AI risk management platform solution. Combine with SolasAI Beacon to address top model risk priorities, from pre-deployment bias detection to real-time post-deployment monitoring
Solas AIis a leader in innovative algorithmic fairness AI software. SolasAI illuminationis an advanced model monitoring and auditing platform built to help enterprises proactively verify the performance, quality, and fairness of their AI systems after deployment. Illumination joins the company’s flagship SolasAI Beacon This solution adds to an AI risk management suite built for the operational realities of modern AI teams.
As organizations deploy AI at scale across lending, insurance, healthcare, and employment, the risks don’t stop at go-live. The model’s performance often deteriorates silently, gradually, and without becoming apparent until the damage is complete.
SolasAI Illumination was built to fill that gap.
Illumination combines the most rigorous and advanced statistical model monitoring with the power of a human-controlled agent AI orchestrator. Proactively scan for drift, quality degradation, and new fairness risks and turn that operational data into a strategic asset to help your team optimize models at the speed and scale your business needs. Organizations can encode governance policies, configure custom alerts, and generate audit-ready compliance reports within a single, integrated workflow.
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“Following the success of our flagship product, SolasAI Beacon, our customers asked us to fill two additional roles,” said Larry Bradley, co-founder and CEO of SolasAI. “First, to help them use new GenAI and Agentic AI tools safely and effectively to increase both the productivity and effectiveness of their AI risk management programs; and second, to bring the same depth of expertise, statistical rigor, and ease of use to the broader areas of model risk management and model monitoring. Based on early feedback, we delighted them in both roles.”
Beacon and Illumination work together to address some of the highest priorities in risk management for AI models.
Beacon identifies bias, imbalance, and surrogate risks throughout the model lifecycle, pinpoints where harm can occur, and provides tools to optimize model quality without sacrificing performance.
Illumination ensures that these standards are maintained over time and continuously monitors for drift and degradation that is inevitable in real-world AI deployments.
These complementary platforms are designed for organizations in the banking, insurance, fintech, healthcare, and employment sectors where AI-driven decision-making has significant regulatory, legal, and reputational implications.
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