Vectice is a regulatory MLOps platform for AI/ML developers and validators that streamlines documentation, governance, and collaborative reviewing of AI/ML models. Designed to enhance audit readiness and ensure regulatory compliance, Vectice automates model documentation, from development to validation. With features like automated lineage tracking and documentation co-pilot, Vectice empowers AI/ML developers and validators to work in their favorite environment while focusing on impactful work, accelerating productivity, and reducing risk.

FairNow is an AI governance software tool that simplifies and centralises AI risk management at scale. To build and maintain trust with customers, organisations must conduct thorough risk assessments on their AI models, ensuring compliance, fairness, and security. Risk assessments also ensure organisations know where to prioritise their AI governance efforts, beginning with high-risk models and use cases.

Enzai’s EU AI Act Compliance Framework makes achieving compliance with the world’s first comprehensive AI governance legislation as easy as possible. The framework breaks hundreds of pages of regulations down into easy-to-follow steps allowing teams to enable organisations to seamlessly and confidently assess the compliance of their AI Systems with the Act and complete the requisite conformity assessments.

Citrusx offers a multifaceted solution to connect all stakeholders in the company through an SDK, user-friendly UI, and automated reporting system.

Saidot is a platform that helps you create and manage AI applications that are safe, ethical and transparent. With Saidot, you can: 1) Adopt AI policies from a library of templates, 2) Identify, mitigate and monitor AI risks, 3) Share AI reports with your stakeholders and 4) Learn how to use generative AI responsibly.

Automate, simplify, and streamline your end-to-end AI risk management process.

Based on abstract interpretations, Saimple leverages state-of-the-art techniques described in ISO/IEC 24029 standards for the assessment and validation of AI model robustness

Meta-learning is a promising strategy for learning to efficiently learn within new tasks, using data gathered from a distribution of tasks.

QuantPi’s platform unites AI testing with AI governance. It is the cockpit of AI-first organizations to collaborate on – to efficiently and responsibly understand, enhance and steer their individual AI models as well as their complete AI landscape.

A software-based EU AI Act compliance solution for your clients and AI value chain actors

GuArdIan: Essential safeguard for businesses utilizing ChatGPT-like LLM technology

To accelerate the journey to net zero, our team has designed the first publicly available tool to be used on new data projects to assess and measure the data CO2 footprint along the dataflow, called the “Data Carbon Ladder”. Using this tool, organizations can reduce their data CO2 footprint by ensuring optimal dataset(s) selection, frequency of updates, storage location, and analytics for the project to not only succeed but to do so in the most environmentally friendly way.

Fast AI with Assurance, Integrity, and Reliability for comprehensive AI governance and oversight.

BetterBeliefs is an evidence-based and inclusive stakeholder engagement platform to create contextual, relevant and justified AI policy

GRACE is an AI governance platform that offers a central registry for all AI models, tools, and workflows for risk mitigation, compliance, and collaboration across AI teams and projects. It provides real-time compliance, transparency, and trust while promoting AI innovation. The platform works across all major cloud vendors and offers out-of-the-box frameworks for complying with EU AI Act, AI standards, data regulations, and AI frameworks.

The framework proposes a self-regulated approach that incorporates certain tools (or instruments) to facilitate ethical and responsible AI development, drawing on insights from the EU Regulation on Artificial Intelligence (AI Act)

The framework helps to identify and manage risks of algorithmic bias and discrimination and to promote equality in the use of AI. It is especially intended for public sector use in close collaboration between public procurers and technical AI developers.

A scalable and systematic solution empowering enterprise to adopt and scale AI with confidence and enhance business performance.

A fully independent and impartial audit to ensure compliance with the bias audit requirements for New York City Local Law 144 and upcoming regulations.

A bespoke AI risk audit solution tailor-made to identify your enterprise project’s AI risks, comprising deep technical, quantitative analysis.