Best AI tools for< Manage Data Governance >

One Data is an AI-powered data product builder that offers a comprehensive solution for building, managing, and sharing data products. It bridges the gap between IT and business by providing AI-powered workflows, lifecycle management, data quality assurance, and data governance features. The platform enables users to easily create, access, and share data products with automated processes and quality alerts. One Data is trusted by enterprises and aims to streamline data product management and accessibility through Data Mesh or Data Fabric approaches, enhancing efficiency in logistics and supply chains. The application is designed to accelerate business impact with reliable data products and support cost reduction initiatives with advanced analytics and collaboration for innovative business models.

OneTrust is a Trust Intelligence Cloud Solutions platform that leverages data and artificial intelligence to drive trusted innovation across privacy, security, and ethics initiatives. It offers a comprehensive suite of solutions for privacy management, data discovery, security, consent and preferences, AI governance, technology risk and compliance, compliance automation, third-party risk, and ethics program management. With over 14,000 customers worldwide, OneTrust helps organizations manage risk, ensure compliance, and build trust through responsible data and AI usage.

Concentric AI is a Managed Data Security Posture Management tool that utilizes Semantic Intelligence to provide comprehensive data security solutions. The platform offers features such as autonomous data discovery, data risk identification, centralized remediation, easy deployment, and data security posture management. Concentric AI helps organizations protect sensitive data, prevent data loss, and ensure compliance with data security regulations. The tool is designed to simplify data governance and enhance data security across various data repositories, both in the cloud and on-premises.

Velotix is an AI-powered data security platform that offers groundbreaking visual data security solutions to help organizations discover, visualize, and use their data securely and compliantly. The platform provides features such as data discovery, permission discovery, self-serve data access, policy-based access control, AI recommendations, and automated policy management. Velotix aims to empower enterprises with smart and compliant data access controls, ensuring data integrity and compliance. The platform helps organizations gain data visibility, control access, and enforce policy compliance, ultimately enhancing data security and governance.

MineOS is an automation-driven platform that focuses on privacy, security, and compliance. It offers a comprehensive suite of tools and solutions to help businesses manage their data privacy needs efficiently. By leveraging AI and special discovery methods, MineOS adapts unique data processes to universal privacy standards seamlessly. The platform provides features such as data mapping, AI governance, DSR automations, consent management, and security & compliance solutions to ensure data visibility and governance. MineOS is recognized as the industry's #1 rated data governance platform, offering cost-effective control of data systems and centralizing data subject request handling.

Astera Software offers enterprise-ready data management solutions, including data integration, unstructured data management, data warehousing, and EDI Connect. The platform provides automated data processing, data governance, and AI capabilities to transform data into powerful insights, enabling smarter decisions and innovation. Astera simplifies data management with features like data pipeline builder, data warehouse automation, and EDI transaction optimization. Trusted by leading enterprises worldwide, Astera boosts operational efficiency, accelerates time to market, ensures data accuracy, and reduces operational costs through AI-powered data management.

Relyance AI is a platform that offers 360 Data Governance and Trust solutions. It helps businesses safeguard against fines and reputation damage while enhancing customer trust to drive business growth. The platform provides visibility into enterprise-wide data processing, ensuring compliance with regulatory and customer obligations. Relyance AI uses AI-powered risk insights to proactively identify and address risks, offering a unified trust and governance infrastructure. It offers features such as data inventory and mapping, automated assessments, security posture management, and vendor risk management. The platform is designed to streamline data governance processes, reduce costs, and improve operational efficiency.

Bravonix is a leading company specializing in Compliance, Cybersecurity, and Artificial Intelligence solutions to support Digital Transformation and Data Governance for Organizations. With a strong focus on education, laboratory diagnostics, fintech, retail, transportation, protest management, and benefits management, Bravonix offers innovative technologies and services to various sectors. The company aims to provide transformative education and cutting-edge solutions to enhance business operations and ensure compliance and security.

SurePath AI is an AI platform solution company that governs the workforce use of GenAI. It provides solutions for detecting usage, mitigating risks, and controlling enterprise data access. SurePath AI offers a secure path for GenAI adoption by spotting, securing, and streamlining GenAI use effortlessly. The platform helps prevent data leaks, control access to private models and enterprise data, and manage access to public and private models. It also provides insights and analytics into user activity, policy enforcement, and potential risks.

Profit Isle is an AI application that helps enterprises make data-driven decisions to enhance profitability and drive value to the bottom line. The platform integrates and transforms enterprise data to power AI initiatives, providing actionable insights and recommendations grounded in company data. Profit Isle prioritizes transparency, data governance, and privacy to ensure customers can confidently run AI models and make informed decisions.

OneTrust is an AI tool that offers a comprehensive suite of privacy management solutions to help organizations streamline compliance, improve operational efficiency, and enable risk-informed decisions. The platform enables automation of processes like Data Subject Rights (DSRs), risk assessments, and data mapping, allowing organizations to manage privacy requirements efficiently. OneTrust integrates regulatory-aware workflow automation with data integration to reduce costs and enhance compliance with regulations like GDPR and CCPA. The platform provides a unified privacy-centric user experience, ensuring secure response to DSR requests and building consumer trust. By automating ID verification, data retrieval and deletion, legal hold checks, and data redaction, OneTrust helps organizations deliver privacy securely and mitigate security risks.

Rekor is an AI-powered platform that delivers revolutionary roadway intelligence by collecting, connecting, and organizing mobility data. It offers a range of software platforms, hardware systems, and applications for urban mobility, transportation management, and public safety. Rekor's technology utilizes computer vision, edge processing, and predictive algorithms to transform data into actionable intelligence, benefiting communities and businesses on a daily basis. With a focus on security standards and data governance, Rekor provides comprehensive traffic and vehicle analytics, license plate recognition, and compliance automation solutions.

AiFA Labs is an AI platform that offers a comprehensive suite of generative AI products and services for enterprises. The platform enables businesses to create, manage, and deploy generative AI applications responsibly and at scale. With a focus on governance, compliance, and security, AiFA Labs provides a range of AI tools to streamline business operations, enhance productivity, and drive innovation. From AI code assistance to chat interfaces and data synthesis, AiFA Labs empowers organizations to leverage the power of AI for various use cases across different industries.

Anyscale is a company that provides a scalable compute platform for AI and Python applications. Their platform includes a serverless API for serving and fine-tuning open LLMs, a private cloud solution for data privacy and governance, and an open source framework for training, batch, and real-time workloads. Anyscale's platform is used by companies such as OpenAI, Uber, and Spotify to power their AI workloads.

FairNow is an AI governance platform that simplifies and centralizes AI risk management at scale. It provides audit-ready compliance, automated bias audits, customizable AI governance tools, and seamless data integration options. FairNow ensures organization-wide oversight, meticulous organization, and unwavering accountability, helping organizations align AI projects with compliance requirements and ethical standards.

Modulos is a Responsible AI Platform that integrates risk management, data science, legal compliance, and governance principles to ensure responsible innovation and adherence to industry standards. It offers a comprehensive solution for organizations to effectively manage AI risks and regulations, streamline AI governance, and achieve relevant certifications faster. With a focus on compliance by design, Modulos helps organizations implement robust AI governance frameworks, execute real use cases, and integrate essential governance and compliance checks throughout the AI life cycle.

Domino Data Lab is an enterprise AI platform that enables users to build, deploy, and manage AI models across any environment. It fosters collaboration, establishes best practices, and ensures governance while reducing costs. The platform provides access to a broad ecosystem of open source and commercial tools, and infrastructure, allowing users to accelerate and scale AI impact. Domino serves as a central hub for AI operations and knowledge, offering integrated workflows, automation, and hybrid multicloud capabilities. It helps users optimize compute utilization, enforce compliance, and centralize knowledge across teams.

Domino Data Lab is an enterprise AI platform that enables data scientists and IT leaders to build, deploy, and manage AI models at scale. It provides a unified platform for accessing data, tools, compute, models, and projects across any environment. Domino also fosters collaboration, establishes best practices, and tracks models in production to accelerate and scale AI while ensuring governance and reducing costs.

GDPR Local is an AI tool that provides comprehensive compliance solutions for data protection and AI law. The platform offers services such as compliance hub, AI law compliance, data protection consultancy, GDPR Art.27 EU/UK and Art.14 FADP Swiss Representative services, and Data Protection Officer support. With experienced consultants and a range of tools, GDPRLocal helps businesses achieve global data privacy and AI law compliance efficiently.

PixieBrix is an AI engagement platform that allows users to build, deploy, and manage internal AI tools to drive team productivity. It unifies AI landscapes with oversight and governance for enterprise scale. The platform is enterprise-ready and fully customizable to meet unique needs, and can be deployed on any site, making it easy to integrate into existing systems. PixieBrix leverages the power of AI and automation to harness the latest technology to streamline workflows and take productivity to new heights.

BionicGPT is an on-premise replacement for ChatGPT, offering the advantages of Generative AI while maintaining strict data confidentiality. BionicGPT can run on your laptop or scale into the data center.

Awesome Responsible AI is a curated list of academic research, books, code of ethics, courses, data sets, frameworks, institutes, newsletters, principles, podcasts, reports, tools, regulations, and standards related to Responsible, Trustworthy, and Human-Centered AI. It covers various concepts such as Responsible AI, Trustworthy AI, Human-Centered AI, Responsible AI frameworks, AI Governance, and more. The repository provides a comprehensive collection of resources for individuals interested in ethical, transparent, and accountable AI development and deployment.

The AI Enablement Stack is a curated collection of venture-backed companies, tools, and technologies that enable developers to build, deploy, and manage AI applications. It provides a structured view of the AI development ecosystem across five key layers: Agent Consumer Layer, Observability and Governance Layer, Engineering Layer, Intelligence Layer, and Infrastructure Layer. Each layer focuses on specific aspects of AI development, from end-user interaction to model training and deployment. The stack aims to help developers find the right tools for building AI applications faster and more efficiently, assist engineering leaders in making informed decisions about AI infrastructure and tooling, and help organizations understand the AI development landscape to plan technology adoption.

Awesome MLOps is a curated list of tools related to Machine Learning Operations, covering areas such as AutoML, CI/CD for Machine Learning, Data Cataloging, Data Enrichment, Data Exploration, Data Management, Data Processing, Data Validation, Data Visualization, Drift Detection, Feature Engineering, Feature Store, Hyperparameter Tuning, Knowledge Sharing, Machine Learning Platforms, Model Fairness and Privacy, Model Interpretability, Model Lifecycle, Model Serving, Model Testing & Validation, Optimization Tools, Simplification Tools, Visual Analysis and Debugging, and Workflow Tools. The repository provides a comprehensive collection of tools and resources for individuals and teams working in the field of MLOps.

The 'Awesome AI Guidelines' repository aims to simplify the ecosystem of guidelines, principles, codes of ethics, standards, and regulations around artificial intelligence. It provides a comprehensive collection of resources addressing ethical and societal challenges in AI systems, including high-level frameworks, principles, processes, checklists, interactive tools, industry standards initiatives, online courses, research, and industry newsletters, as well as regulations and policies from various countries. The repository serves as a valuable reference for individuals and teams designing, building, and operating AI systems to navigate the complex landscape of AI ethics and governance.

CSGHub is an open source, trustworthy large model asset management platform that can assist users in governing the assets involved in the lifecycle of LLM and LLM applications (datasets, model files, codes, etc). With CSGHub, users can perform operations on LLM assets, including uploading, downloading, storing, verifying, and distributing, through Web interface, Git command line, or natural language Chatbot. Meanwhile, the platform provides microservice submodules and standardized OpenAPIs, which could be easily integrated with users' own systems. CSGHub is committed to bringing users an asset management platform that is natively designed for large models and can be deployed On-Premise for fully offline operation. CSGHub offers functionalities similar to a privatized Huggingface(on-premise Huggingface), managing LLM assets in a manner akin to how OpenStack Glance manages virtual machine images, Harbor manages container images, and Sonatype Nexus manages artifacts.

OpenDAN is an open source Personal AI OS that consolidates various AI modules for personal use. It empowers users to create powerful AI agents like assistants, tutors, and companions. The OS allows agents to collaborate, integrate with services, and control smart devices. OpenDAN offers features like rapid installation, AI agent customization, connectivity via Telegram/Email, building a local knowledge base, distributed AI computing, and more. It aims to simplify life by putting AI in users' hands. The project is in early stages with ongoing development and future plans for user and kernel mode separation, home IoT device control, and an official OpenDAN SDK release.

Unity Catalog is an open and interoperable catalog for data and AI, supporting multi-format tables, unstructured data, and AI assets. It offers plugin support for extensibility and interoperates with Delta Sharing protocol. The catalog is fully open with OpenAPI spec and OSS implementation, providing unified governance for data and AI with asset-level access control enforced through REST APIs.

Feast is an open source feature store for machine learning, providing a fast path to manage infrastructure for productionizing analytic data. It allows ML platform teams to make features consistently available, avoid data leakage, and decouple ML from data infrastructure. Feast abstracts feature storage from retrieval, ensuring portability across different model training and serving scenarios.

APIPark is an open-source AI Gateway and Developer Portal that enables users to easily manage, integrate, and deploy AI and API services. It provides robust API management features, including creation, monitoring, and access control, to help developers efficiently and securely develop and manage their APIs. The platform aims to solve challenges such as connecting to powerful AI models, managing complex AI & API call relationships, overseeing API creation and security, simplifying fault detection and troubleshooting, and enhancing the visibility and valuation of data assets.

Hopsworks is a data platform for ML with a Python-centric Feature Store and MLOps capabilities. It provides collaboration for ML teams, offering a secure, governed platform for developing, managing, and sharing ML assets. Hopsworks supports project-based multi-tenancy, team collaboration, development tools for Data Science, and is available on any platform including managed cloud services and on-premise installations. The platform enables end-to-end responsibility from raw data to managed features and models, supports versioning, lineage, and provenance, and facilitates the complete MLOps life cycle.

HAMi is a Heterogeneous AI Computing Virtualization Middleware designed to manage Heterogeneous AI Computing Devices in a Kubernetes cluster. It allows for device sharing, device memory control, device type specification, and device UUID specification. The tool is easy to use and does not require modifying task YAML files. It includes features like hard limits on device memory, partial device allocation, streaming multiprocessor limits, and core usage specification. HAMi consists of components like a mutating webhook, scheduler extender, device plugins, and in-container virtualization techniques. It is suitable for scenarios requiring device sharing, specific device memory allocation, GPU balancing, low utilization optimization, and scenarios needing multiple small GPUs. The tool requires prerequisites like NVIDIA drivers, CUDA version, nvidia-docker, Kubernetes version, glibc version, and helm. Users can install, upgrade, and uninstall HAMi, submit tasks, and monitor cluster information. The tool's roadmap includes supporting additional AI computing devices, video codec processing, and Multi-Instance GPUs (MIG).

CISO Assistant is a tool that helps organizations manage their cybersecurity posture and compliance. It provides a centralized platform for managing security controls, threats, and risks. CISO Assistant also includes a library of pre-built frameworks and tools to help organizations quickly and easily implement best practices.

KitOps is a packaging and versioning system for AI/ML projects that uses open standards so it works with the AI/ML, development, and DevOps tools you are already using. KitOps simplifies the handoffs between data scientists, application developers, and SREs working with LLMs and other AI/ML models. KitOps' ModelKits are a standards-based package for models, their dependencies, configurations, and codebases. ModelKits are portable, reproducible, and work with the tools you already use.

Gateway is a tool that streamlines requests to 100+ open & closed source models with a unified API. It is production-ready with support for caching, fallbacks, retries, timeouts, load balancing, and can be edge-deployed for minimum latency. It is blazing fast with a tiny footprint, supports load balancing across multiple models, providers, and keys, ensures app resilience with fallbacks, offers automatic retries with exponential fallbacks, allows configurable request timeouts, supports multimodal routing, and can be extended with plug-in middleware. It is battle-tested over 300B tokens and enterprise-ready for enhanced security, scale, and custom deployments.

AIGES is a core component of the Athena Serving Framework, designed as a universal encapsulation tool for AI developers to deploy AI algorithm models and engines quickly. By integrating AIGES, you can deploy AI algorithm models and engines rapidly and host them on the Athena Serving Framework, utilizing supporting auxiliary systems for networking, distribution strategies, data processing, etc. The Athena Serving Framework aims to accelerate the cloud service of AI algorithm models and engines, providing multiple guarantees for cloud service stability through cloud-native architecture. You can efficiently and securely deploy, upgrade, scale, operate, and monitor models and engines without focusing on underlying infrastructure and service-related development, governance, and operations.

AITreasureBox is a comprehensive collection of AI tools and resources designed to simplify and accelerate the development of AI projects. It provides a wide range of pre-trained models, datasets, and utilities that can be easily integrated into various AI applications. With AITreasureBox, developers can quickly prototype, test, and deploy AI solutions without having to build everything from scratch. Whether you are working on computer vision, natural language processing, or reinforcement learning projects, AITreasureBox has something to offer for everyone. The repository is regularly updated with new tools and resources to keep up with the latest advancements in the field of artificial intelligence.

`npcsh` is a python-based command-line tool designed to integrate Large Language Models (LLMs) and Agents into one's daily workflow by making them available and easily configurable through the command line shell. It leverages the power of LLMs to understand natural language commands and questions, execute tasks, answer queries, and provide relevant information from local files and the web. Users can also build their own tools and call them like macros from the shell. `npcsh` allows users to take advantage of agents (i.e. NPCs) through a managed system, tailoring NPCs to specific tasks and workflows. The tool is extensible with Python, providing useful functions for interacting with LLMs, including explicit coverage for popular providers like ollama, anthropic, openai, gemini, deepseek, and openai-like providers. Users can set up a flask server to expose their NPC team for use as a backend service, run SQL models defined in their project, execute assembly lines, and verify the integrity of their NPC team's interrelations. Users can execute bash commands directly, use favorite command-line tools like VIM, Emacs, ipython, sqlite3, git, pipe the output of these commands to LLMs, or pass LLM results to bash commands.

Ensures data accuracy, consistency, and security across organization.

Real Estate Agencies and Brokers deal with personal data of clients, including financial information and preferences, requiring careful handling and protection of such data.

Optimizes data systems and designs new data architectures.

A comprehensive resource for all aspects of digital preservation.

Expert in data protection laws, ready to analyze documents and answer related queries.

GRC Consultant focused on privacy governance, implementation, and risk management.

I simulate the governance of a unique company focused on AI for good

Active, formal analyst of potential name duplicates.

Private Investigators and Security Firms, given the nature of their work, handle highly sensitive information and must maintain strict confidentiality and data privacy standards.

Watchmakers and Jewelry Designers, high-end businesses dealing with valuable items and personal details of clients, making data privacy and security paramount.

Data Privacy for Event Management and Ticketing Services handle personal data such as names, contact details, and payment information for event registrations and ticket purchases.

A specialist in DataOps and Data Observability, aiding in data management and monitoring.

Home Inspection and Appraisal Services have access to personal property and related information, requiring them to be vigilant about data privacy.

Freelancers and Independent Consultants, individuals in these roles often handle client data, project specifics, and personal contact information, requiring them to be vigilant about data privacy.

Architecture and Construction Firms handle sensitive project data, client information, and architectural plans, necessitating strict data privacy measures.

Spa and Beauty Salons collect Customer inforation, including personal details and treatment records, necessitating a high level of confidentiality and data protection.

Guides in data engineering tasks with a focus on practical solutions.

Database Developer assisting with SQL/NoSQL, architecture, and optimization.

Your personal Snowflake assistant and copilot with a focus on efficient, secure, and scalable data warehousing. Trained with the latest knowledge and docs.

Your friendly Data Engineering teacher