Holistic AI
Holistic AI is an enterprise governance platform that offers full-lifecycle oversight, detecting risk and ensuring compliance, fairness, safety, and transparency in AI deployment.
What is Holistic AI?
- Founder: Adriano Koshiyama and Emre Kazim
- Launch: Early 2020
- Use Cases:
- Uncovering undocumented or “shadow” AI systems to build an accurate inventory
- Performing audits for bias, safety, robustness and privacy issues in models
- Ensuring compliance with global or local AI regulation frameworks
- Continual monitoring of deployed systems to catch performance drift, risks or non-compliance
- Technology: Holistic AI uses AI- and data-driven risk scoring, automated risk triage, bias and safety testing, policy alignment engines, real-time monitoring dashboards, alerting, and audit logging. It integrates with enterprise workflows so governance is embedded in existing operations.
Holistic AI is an AI-powered AI Agnet platform that designed to provide rigor, safety, and accountability to enterprises as they develop their AI initiatives, starting with a team of researchers from both academic and technical backgrounds who wish to bridge the gap between innovation and governance. The platform starts by discovering all of the AI systems across an organization, including undocumented and loose systems. The platform checks the systems for risks in various areas (like bias, safety, strength, privacy, and legal issues) before starting a wide range of tools for fixing problems, testing weaknesses, ensuring fairness, and checking safety.In addition to risk discovery and assessment,
Holistic AI can support alignment with regulators and ethical standards by offering framework mapping/aligning capability and governance workflows. The solution helps organizations by constantly checking for when systems act unexpectedly, slow down, or face compliance issues due to outside factors. Reports are generated for audit and executive reporting. With role-based access control and sign-on integration into existing enterprise systems such as communication or incident management tools, we enable collaboration across the spectrum of engineering, compliance, legal, and operations teams. Together with our focus on technical depth and trust, Holistic AI is structured so that an organization can not only prevent harms but also scale AI system innovation responsibly and safely.
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FAQ
Is Holistic AI appropriate for smaller companies or only large enterprises?
It can benefit any organization using or planning to use multiple AI systems, but its strength is especially pronounced for larger or regulated organizations that need formal risk management, governance, and oversight.
What kinds of regulations or standards does it help comply with?
It supports various standards and regulations related to fairness, safety, privacy, transparency, and AI ethics; companies can map their AI systems against regulatory or policy frameworks relevant to their jurisdiction or industry.
Can it detect AI systems that are not formally documented?
Yes, one of its core features is automated discovery of all AI systems in use, including those that have not been centrally registered or documented by teams.
How does it help in auditing and reducing risks?
It provides tools to check for bias and safety, test for weaknesses, keep an eye on things with alerts, score risks, suggest ways to reduce those risks, and create reports for both internal management and outside compliance needs.
What deployment options and integrations are available?
The platform includes integrations into enterprise tools and workflows, has role-based access controls, supports APIs or SDKs, and is designed so governance steps can be embedded in existing processes without major disruption.
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