Alternatives to VerifyWise

Compare VerifyWise alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to VerifyWise in 2026. Compare features, ratings, user reviews, pricing, and more from VerifyWise competitors and alternatives in order to make an informed decision for your business.

  • 1
    Vertex AI
    Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, and Spark. You can use BigQuery ML to create and execute machine learning models in BigQuery using standard SQL queries on existing business intelligence tools and spreadsheets, or you can export datasets from BigQuery directly into Vertex AI Workbench and run your models from there. Use Vertex Data Labeling to generate highly accurate labels for your data collection. Vertex AI Agent Builder enables developers to create and deploy enterprise-grade generative AI applications. It offers both no-code and code-first approaches, allowing users to build AI agents using natural language instructions or by leveraging frameworks like LangChain and LlamaIndex.
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  • 2
    DataHub

    DataHub

    DataHub

    DataHub Cloud is an event-driven AI & Data Context Platform that uses active metadata for real-time visibility across your entire data ecosystem. Unlike traditional data catalogs that provide outdated snapshots, DataHub Cloud instantly propagates changes, automatically enforces policies, and connects every data source across platforms with 100+ pre-built connectors. Built on an open source foundation with a thriving community of 13,000+ members, DataHub gives you unmatched flexibility to customize and extend without vendor lock-in. DataHub Cloud is a modern metadata platform with REST and GraphQL APIs that optimize performance for complex queries, essential for AI-ready data management and ML lifecycle support.
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  • 3
    Rocket.Chat

    Rocket.Chat

    Rocket.Chat

    Rocket.Chat is a fully customizable, open-source communications platform for organizations with high standards of data protection. It enables real-time conversations between colleagues, with other companies, or with your customers, regardless of how they want to connect with you. Compared to similar players in the industry, such as Slack and Microsoft Teams, Rocket.Chat offers an on-prem deployment that enables organizations to take full ownership of their data. Rocket. Chat's open-source nature makes it more flexible to meet specific company needs and more scalable to follow your organization's growth. It also holds the only true MIT open-source license. We have over 1000 developers across the world contributing to the open-source code. Every day, tens of millions of users in over 150 countries and in organizations such as Audi Business Innovation, Deutsche Bahn, The US Navy, and Credit Suisse trust Rocket.Chat to keep their communications completely private and secure.
    Starting Price: $3/user/month
  • 4
    Amazon SageMaker
    Amazon SageMaker is an advanced machine learning service that provides an integrated environment for building, training, and deploying machine learning (ML) models. It combines tools for model development, data processing, and AI capabilities in a unified studio, enabling users to collaborate and work faster. SageMaker supports various data sources, such as Amazon S3 data lakes and Amazon Redshift data warehouses, while ensuring enterprise security and governance through its built-in features. The service also offers tools for generative AI applications, making it easier for users to customize and scale AI use cases. SageMaker’s architecture simplifies the AI lifecycle, from data discovery to model deployment, providing a seamless experience for developers.
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    Modulos AI Governance Platform
    Modulos AG, founded in 2018, is a Swiss pioneer in Responsible AI Governance and the first AI Governance platform to achieve ISO 42001 certification. With a mission to empower organizations to govern AI products and services responsibly in regulated environments, Modulos streamlines and accelerates the AI compliance process. The platform enables businesses to efficiently manage risks and align with key regulatory frameworks like the EU AI Act, NIST AI RMF, ISO 42001, and more. As a result, Modulos helps clients avoid economic, legal, and reputational risks, fostering trust and long-term success in their AI initiatives.
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    Prove AI

    Prove AI

    Prove AI

    Prove AI is an AI governance and management platform that centralizes AI models, datasets, and event logs into a tamper‑proof, blockchain‑backed data store, now built on Hedera and integrated with IBM’s watsonx.governance. It provides real‑time logging of AI lifecycle events, version control, multi‑party access permissions, automated compliance alignment (e.g., EU AI Act, ISO 42001, NIST), and detailed audit trails for troubleshooting, accountability, and regulator validation. Organizations gain unified oversight of AI operations via a centralized console controlling configurations, access, updates, and event monitoring, all with fully auditable, serialized records. It empowers enterprises to manage AI risk, ensure transparency, and confidently scale responsible AI initiatives.
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    trail

    trail

    trail

    Trail ML is an AI governance copilot platform that helps organizations build trustworthy, compliant, and transparent AI systems by automating manual governance and documentation tasks. It centralizes AI registry, policy creation, risk management, automated documentation, development tracking, audit trails, and compliance workflows under one system, enabling teams to classify and manage all AI use cases, trace decisions from data and model to outcomes, and reduce the overhead of manual documentation and governance processes. It integrates governance frameworks and templates, supports creation of custom AI policies, and guides teams through identifying and mitigating risks, preparing for audits and standards like ISO 42001 and regulation such as the EU AI Act. Trail uses curated knowledge, risk libraries, and AI-powered automation to orchestrate governance tasks, translate regulatory requirements into actionable to-dos, and streamline collaboration between stakeholders.
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    Tumeryk

    Tumeryk

    Tumeryk

    Tumeryk Inc. specializes in advanced generative AI security solutions, offering tools like the AI trust score for real-time monitoring, risk management, and compliance. Our platform empowers organizations to secure AI systems, ensuring reliable, trustworthy, and policy-aligned deployments. The AI Trust Score quantifies the risk of using generative AI systems, enabling compliance with regulations like the EU AI Act, ISO 42001, and NIST RMF 600.1. This score evaluates and scores the trustworthiness of generated prompt responses, accounting for risks including bias, jailbreak propensity, off-topic responses, toxicity, Personally Identifiable Information (PII) data leakage, and hallucinations. It can be integrated into business processes to help determine whether content should be accepted, flagged, or blocked, thus allowing organizations to mitigate risks associated with AI-generated content.
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    Teleskope

    Teleskope

    Teleskope

    Teleskope is a modern data protection platform designed to automate data security, privacy, and compliance at enterprise scale. It continuously discovers and catalogs data across cloud, SaaS, structured, and unstructured sources, classifying over 150 entity types such as PII, PHI, PCI, and secrets with high precision and high throughput. Once sensitive data is identified, Teleskope enables automated remediation, such as redaction, masking, encryption, deletion, and access correction, while integrating into developer workflows via its API-first model and supporting deployment as SaaS, managed, or self-hosted. The platform also builds prevention capabilities, embedding into SDLC pipelines to stop sensitive data from entering production systems, support safe AI adoption (without using unchecked sensitive data), handle data subject rights requests (DSARs), and map findings to regulatory standards (GDPR, CPRA, PCI-DSS, ISO, NIST, CIS).
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    Azure Machine Learning
    Accelerate the end-to-end machine learning lifecycle with Azure Machine Learning Studio. Empower developers and data scientists with a wide range of productive experiences for building, training, and deploying machine learning models faster. Accelerate time to market and foster team collaboration with industry-leading MLOps—DevOps for machine learning. Innovate on a secure, trusted platform, designed for responsible ML. Productivity for all skill levels, with code-first and drag-and-drop designer, and automated machine learning. Robust MLOps capabilities that integrate with existing DevOps processes and help manage the complete ML lifecycle. Responsible ML capabilities – understand models with interpretability and fairness, protect data with differential privacy and confidential computing, and control the ML lifecycle with audit trials and datasheets. Best-in-class support for open-source frameworks and languages including MLflow, Kubeflow, ONNX, PyTorch, TensorFlow, Python, and R.
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    Vireo Sentinel
    Vireo Sentinel is an AI visibility and governance platform. A lightweight browser extension monitors how your team uses ChatGPT, Claude, Perplexity, Gemini, and 40+ other AI platforms. When someone is about to share sensitive data, they see a real-time intervention with four options: cancel, redact, edit, or override with a business justification. Detection uses deterministic pattern matching across 100+ sensitive data types including personal information, financial data, credentials, and medical content. No AI is used for detection. Everything is processed in the browser - sensitive data never leaves the device. The admin dashboard shows usage patterns, risk trends, platform breakdowns, and activity heatmaps. One-click compliance reports map to EU AI Act, ISO 42001, and Australian Privacy Act requirements. Deploys in under 10 minutes via browser extension for Chrome, Firefox, and Edge.
    Starting Price: $55/month (5 Users)
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    Aporia

    Aporia

    Aporia

    Create customized monitors for your machine learning models with our magically-simple monitor builder, and get alerts for issues like concept drift, model performance degradation, bias and more. Aporia integrates seamlessly with any ML infrastructure. Whether it’s a FastAPI server on top of Kubernetes, an open-source deployment tool like MLFlow or a machine learning platform like AWS Sagemaker. Zoom into specific data segments to track model behavior. Identify unexpected bias, underperformance, drifting features and data integrity issues. When there are issues with your ML models in production, you want to have the right tools to get to the root cause as quickly as possible. Go beyond model monitoring with our investigation toolbox to take a deep dive into model performance, data segments, data stats or distribution.
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    xPrivo

    xPrivo

    xPrivo

    A free, open-source AI chat alternative to ChatGPT and Perplexity that prioritizes your privacy and anonymity. No account required – not even for PRO features. All chats are stored locally on your device and never logged or used for training. Key Features: - 100% Anonymous | Zero personal data collection - EU-hosted models - GDPR-compliant servers running Mistral 3, DeepSeek V3.2, and other powerful open-source models behind the default xprivo model - Web search with sources. Get fact-checked, current information - Self-hostable. Run it on your own infrastructure or use the hosted version - BYOK support. Connect your own API keys from OpenAI, Anthropic, Grok, etc. - Local-first. Your chat history never leaves your device - Open source. Fully auditable code on GitHub - Use it with ollama to chat with your local models fully offline Perfect for privacy-conscious users who want powerful AI assistance without compromising their anonymity.
  • 14
    OneTrust Data & AI Governance
    OneTrust's Data & AI Governance solution is an integrated platform designed to establish data and AI policies by consolidating insights from data, metadata, models, and risk assessments, providing comprehensive visibility into data products and AI development. It accelerates data-driven innovation by increasing the speed of approval for data products and AI systems. The solution enhances business continuity through continuous monitoring of data and AI systems, ensuring regulatory compliance, effective risk management, and reduced application downtime. It simplifies compliance by centrally defining, orchestrating, and natively enforcing data policies. Key features include consistent scanning, classification, and tagging of sensitive data to ensure the reliable application of data governance policies across structured and unstructured sources. It promotes responsible data usage by enforcing role-based access within a robust data governance framework.
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    Golf

    Golf

    Golf

    GolfMCP is an open source framework designed to streamline the creation and deployment of production-ready Model Context Protocol (MCP) servers, enabling organizations to build secure, scalable AI-agent infrastructure without worrying about boilerplate. It allows developers to define tools, prompts, and resources as simple Python files, after which Golf handles routing, authentication, telemetry, and observability, so you focus on logic, not plumbing. The platform supports enterprise authentication (JWT, OAuth Server, API key), automatic telemetry, and a file-based structure that eliminates decorators or manual schema wiring. With built-in utilities for LLM interactions, error logging, OpenTelemetry integration, and deployment tools (such as a CLI with golf init, golf build dev, golf run), Golf provides a full stack for agent-native services. Included also is the Golf Firewall, an enterprise-grade security layer for MCP servers that enforces token validation.
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    MintMCP

    MintMCP

    MintMCP

    MintMCP is an enterprise-grade Model Context Protocol (MCP) gateway and governance platform that provides centralized security, observability, authentication, and compliance controls for AI tools and agents connecting to internal data, systems, and services. It lets organizations deploy, monitor, and govern MCP infrastructure at scale, giving real-time visibility into every MCP tool call, enforcing role-based access control and enterprise authentication, and maintaining complete audit trails that meet regulatory and compliance needs. Built as a proxy gateway, MintMCP consolidates connections from AI assistants like ChatGPT, Claude, Cursor, and others to MCP servers and tools, enabling unified monitoring, blocking of risky behavior, secure credential management, and fine-grained policy enforcement without requiring each tool to implement security individually.
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    Microsoft Azure Responsible AI
    Confidently scale the next generation of safe, responsible AI applications. Confidently scale AI across your organization with industry-leading technologies and best practices that help manage risk, improve accuracy, protect privacy, reinforce transparency, and simplify compliance. Empower cross-functional teams to build the next generation of AI applications safely, using built-in tools and templates that help integrate responsible AI in open source, machine learning operations, and generative AI workflows. Detect and mitigate harmful use with built-in responsible AI, enterprise-grade Azure security, and responsible AI tooling.  Monitor text and images to detect offensive or inappropriate content. Empower rapid machine-learning model deployment and seamless collaboration with the prompt flow, driving accelerated time to value. Develop generative AI applications and custom copilots in one platform.
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    Unity Catalog

    Unity Catalog

    Databricks

    Databricks Unity Catalog is the industry’s only unified and open governance solution for data and AI, built into the Databricks Data Intelligence Platform. With Unity Catalog, organizations can seamlessly govern both structured and unstructured data in any format, as well as machine learning models, notebooks, dashboards, and files across any cloud or platform. Data scientists, analysts, and engineers can securely discover, access, and collaborate on trusted data and AI assets across platforms, leveraging AI to boost productivity and unlock the full potential of the lakehouse environment. This unified and open approach to governance promotes interoperability and accelerates data and AI initiatives while simplifying regulatory compliance. Easily discover and classify both structured and unstructured data in any format, including machine learning models, notebooks, dashboards, and files across all cloud platforms.
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    SurePath AI

    SurePath AI

    SurePath AI

    Ensure AI use adheres to corporate policy with our simple-to-implement AI governance control plane. Remove complexity, gain visibility, and securely increase AI adoption, with SurePath AI. Native integrations to your existing security solutions, private models, and enterprise data sources. SSO, SCIM, and SIEM are natively supported. Detect AI use at a network level. Control access and inspect requests for sensitive data leaks. Redact sensitive data found in requests to public models. In-line modification of requests enables productivity while mitigating risk. Redirect traffic to your private AI models. Leverage SurePath AI's private model access controls as your own internally branded enterprise AI portal. Policy-based controls enrich requests with only the enterprise data users are granted access to, giving meaningful responses based on relevant business context. Users' prompts are automatically enhanced to align output to enterprise objectives.
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    OpenELM

    OpenELM

    Apple

    OpenELM is an open-source language model family developed by Apple. It uses a layer-wise scaling strategy to efficiently allocate parameters within each layer of the transformer model, leading to enhanced accuracy compared to existing open language models of similar size. OpenELM is trained on publicly available datasets and achieves state-of-the-art performance for its size.
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    Warden AI

    Warden AI

    Warden AI

    Warden AI’s platform brings independent oversight to AI systems in HR by opening black boxes and delivering real‑time auditing embedded within the AI workflow. It provides legal, HR, compliance, and technical teams with clear visibility via HTTP and file‑based APIs, supports periodic or continuous audits that measure bias across up to ten protected classes, benchmarks accuracy across demographic groups, and verifies explainability to ensure AI justifications match actual system behavior. The platform operationalizes legal and regulatory mandates, from the U.S. Civil Rights Act and anti‑discrimination laws to NYC Local Law 144, Colorado SB205, and the EU AI Act, translating these requirements into technical safeguards. Users connect once, let Warden run background audits, then publish intuitive dashboards, audit‑ready reports, and earned Trust Marks for independent certification.
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    UniJump

    UniJump

    UniJump

    At our core, we're huge fans of open source code and complete transparency. Don't hesitate to jump in and help us out by contributing to our code. Be careful when adding extensions that can access your personal and work data and email. We shared our code publicly so you can see what it does. We don’t store any of your personal data, information, data entry, or websites you visit. For full transparency, you can verify this by reviewing our open-source code on GitHub.
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    IBM Watson Studio
    Build, run and manage AI models, and optimize decisions at scale across any cloud. IBM Watson Studio empowers you to operationalize AI anywhere as part of IBM Cloud Pak® for Data, the IBM data and AI platform. Unite teams, simplify AI lifecycle management and accelerate time to value with an open, flexible multicloud architecture. Automate AI lifecycles with ModelOps pipelines. Speed data science development with AutoAI. Prepare and build models visually and programmatically. Deploy and run models through one-click integration. Promote AI governance with fair, explainable AI. Drive better business outcomes by optimizing decisions. Use open source frameworks like PyTorch, TensorFlow and scikit-learn. Bring together the development tools including popular IDEs, Jupyter notebooks, JupterLab and CLIs — or languages such as Python, R and Scala. IBM Watson Studio helps you build and scale AI with trust and transparency by automating AI lifecycle management.
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    Akitra Andromeda
    ​Akitra Andromeda is a next-generation, AI-enabled compliance automation platform designed to streamline and simplify regulatory adherence for businesses of all sizes. It supports a wide range of compliance frameworks, including SOC 2, ISO 27001, HIPAA, PCI DSS, SOC 1, GDPR, NIST 800-53, and custom frameworks, enabling organizations to achieve continuous compliance efficiently. The platform offers over 240 integrations with major cloud platforms and SaaS services, facilitating seamless incorporation into existing workflows. Akitra's automation capabilities reduce the time and cost associated with manual compliance management by automating monitoring and evidence-gathering processes. The platform provides a comprehensive template library for policies and controls, assisting organizations in establishing a complete compliance program. Continuous monitoring ensures that assets remain secure and compliant around the clock.
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    Enzai

    Enzai

    Enzai

    An AI governance platform designed by lawyers with regulatory expertise, tailored to your use cases and policies. Businesses must learn to navigate and comply with new legislation and guidelines. Organizations risk losing customer trust and a breakdown in product engagement if AI malfunctions. Teams must deal with increasingly complex AI systems, with more use cases than ever. Monitor compliance of your AI systems through our assessments and live model controls. Alert users to mitigate potential issues or risks. Implementing good AI governance practices can be time-consuming. Leverage built-in automation to import model data and artifacts, and review and update documentation. Understand AI compliance across your organization. Provide senior stakeholders with the full picture of their AI compliance to make strategic decisions and share reports for curated audiences. We offer a complete set of policies that ensure legal and regulatory compliance through pre-configured assessments.
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    Dataiku

    Dataiku

    Dataiku

    Dataiku is an advanced data science and machine learning platform designed to enable teams to build, deploy, and manage AI and analytics projects at scale. It empowers users, from data scientists to business analysts, to collaboratively create data pipelines, develop machine learning models, and prepare data using both visual and coding interfaces. Dataiku supports the entire AI lifecycle, offering tools for data preparation, model training, deployment, and monitoring. The platform also includes integrations for advanced capabilities like generative AI, helping organizations innovate and deploy AI solutions across industries.
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    Functional Works

    Functional Works

    Functional Works

    We help you connect with and build a community of engineers through open-source contributions, removing the existing barriers to hiring. Explore issues using tech you are interested in or want to learn. Express your interest in a task or get started straight away. Solve the issue in your own time and submit your code. Improve your profile and get real production experience. 58% of companies have hired software engineers based on their open-source software contributions. 64% of developers are open to solving a company’s open-source issues as part of the technical hiring process. Most companies in the world use open-source software, yet very few of them actively use OSS as a hiring strategy. We do not limit the number of people that can start work on an issue. You can see the number of contributors from the Issue page and the Issue listing page.
    Starting Price: $360 per month
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    Cisco AI Defense
    Cisco AI Defense is a comprehensive security solution designed to enable enterprises to safely develop, deploy, and utilize AI applications. It addresses critical security challenges such as shadow AI—unauthorized use of third-party generative AI apps—and application security by providing full visibility into AI assets and enforcing controls to prevent data leakage and mitigate threats. Key components include AI Access, which offers control over third-party AI applications; AI Model and Application Validation, which conducts automated vulnerability assessments; AI Runtime Protection, which implements real-time guardrails against adversarial attacks; and AI Cloud Visibility, which inventories AI models and data sources across distributed environments. Leveraging Cisco's network-layer visibility and continuous threat intelligence updates, AI Defense ensures robust protection against evolving AI-related risks.
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    Mono

    Mono

    Mono

    Cross-platform, open source .NET framework. Sponsored by Microsoft, Mono is an open-source implementation of Microsoft's .NET Framework as part of the .NET Foundation and based on the ECMA standards for C# and the common language runtime. A growing family of solutions and an active and enthusiastic contributing community is helping position Mono to become the leading choice for the development of cross-platform applications. The latest Mono release is waiting for you. We cover everything you need to know, from configuring Mono to how the internals are implemented. Our documentation is open source too, so you can help us improve it. As an open-source project, we love getting contributions from the community. File a bug report, add new code or chat with the developers. Mono is a software platform designed to allow developers to easily create cross-platform applications.
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    Dawiso

    Dawiso

    Dawiso

    Dawiso is your modern platform for managing and understanding data, built to unify governance and usability in a way that works for your entire organization. At its core is a powerful, AI-powered data catalog, enabling teams to quickly discover, interpret, and access trusted data across systems, reports, and business tools. With flexible governance features and business-friendly documentation apps, Dawiso bridges the gap between technical and non-technical users, fostering true collaboration. Enhance trust in your data with clear, visual data lineage that maps relationships across sources and systems, giving you full context and control. Support compliance through customizable workflows, role-based access, and structured metadata capture.
    Starting Price: $49 per user per month
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    Fiddler AI

    Fiddler AI

    Fiddler AI

    Fiddler is a pioneer in Model Performance Management for responsible AI. The Fiddler platform’s unified environment provides a common language, centralized controls, and actionable insights to operationalize ML/AI with trust. Model monitoring, explainable AI, analytics, and fairness capabilities address the unique challenges of building in-house stable and secure MLOps systems at scale. Unlike observability solutions, Fiddler integrates deep XAI and analytics to help you grow into advanced capabilities over time and build a framework for responsible AI practices. Fortune 500 organizations use Fiddler across training and production models to accelerate AI time-to-value and scale, build trusted AI solutions, and increase revenue.
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    DataGalaxy

    DataGalaxy

    DataGalaxy

    DataGalaxy is a next-generation data governance and intelligence platform designed to help organizations manage, understand, and maximize the value of their data. Built around a unified interface, it empowers everyone—from executives to data consumers—to collaborate seamlessly across data assets, strategies, and analytics. The platform’s automated data catalog, governance hub, and AI co-pilot reduce manual work while ensuring compliance and data quality across systems. With over 70+ integrations, including Snowflake, Databricks, Power BI, and AWS, DataGalaxy connects your data ecosystem into a single source of truth. Its value tracking center and strategy cockpit align data initiatives with business goals, driving measurable outcomes and enterprise-wide visibility. Loved by users, DataGalaxy turns governance into a strategic advantage for the modern enterprise.
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    Zendata

    Zendata

    Zendata

    Manage data security & risk across your entire stack. Your customer-facing assets are where the data collection/shaping occurs. Source code with data flows and third-party components. Distrust with how companies handle data arises due to data breaches, sharing/selling of personal information, and targeted advertising without consent, eroding trust between companies and customers. Don’t forfeit your customers’ trust by exposing them to privacy risks. Ensure their individual privacy and also protect your organization’s sensitive information with our data protection plans. Our privacy program will keep all of your company's data safe. And for your enterprise's continuity, our privacy compliance software will safeguard you from paying fines for non-compliance with security policies. Protect your customers' personal information and ensure compliance with global privacy laws with Zendata's no-code platform.
    Starting Price: $299 per month
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    Dataplex Universal Catalog
    Dataplex Universal Catalog is Google Cloud’s intelligent governance platform for data and AI artifacts. It centralizes discovery, management, and monitoring across data lakes, warehouses, and databases, giving teams unified access to trusted data. With Vertex AI integration, users can instantly find datasets, models, features, and related assets in one search experience. It supports semantic search, data lineage, quality checks, and profiling to improve trust and compliance. Integrated with BigQuery and BigLake, it enables end-to-end governance for both proprietary and open lakehouse environments. Dataplex Universal Catalog helps organizations democratize data access, enforce governance, and accelerate analytics and AI initiatives.
    Starting Price: $0.060 per hour
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    RChain

    RChain

    RChain

    A breakthrough concurrent computational system that unshackles the blockchain. RChain is pioneering transparent and secure transactions with an ultra-fast, global-scale technology platform. Cooperative governance and a sustainable economic model make RChain a public utility that can be applied to climate change, data security, digital identity, and many other challenges we are collectively facing. RChain realizes superior scalability and speed by doing intelligent concurrency throughout the network and right-sized validation of every transaction. Transactions now happen with low execution costs and greater efficiency. RChain's decentralized architecture design does not compromise security to achieve scale. Rholang, RChain's contract programming language, lets developers write for concurrency and formally verify all processes. RChain is built in a radically open-source fashion. The contributions of cooperative members enrich and extend the RChain ecosystem.
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    Portkey

    Portkey

    Portkey.ai

    Launch production-ready apps with the LMOps stack for monitoring, model management, and more. Replace your OpenAI or other provider APIs with the Portkey endpoint. Manage prompts, engines, parameters, and versions in Portkey. Switch, test, and upgrade models with confidence! View your app performance & user level aggregate metics to optimise usage and API costs Keep your user data secure from attacks and inadvertent exposure. Get proactive alerts when things go bad. A/B test your models in the real world and deploy the best performers. We built apps on top of LLM APIs for the past 2 and a half years and realised that while building a PoC took a weekend, taking it to production & managing it was a pain! We're building Portkey to help you succeed in deploying large language models APIs in your applications. Regardless of you trying Portkey, we're always happy to help!
    Starting Price: $49 per month
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    Solo Enterprise

    Solo Enterprise

    Solo Enterprise

    Solo Enterprise provides a unified cloud-native application networking and connectivity platform that helps enterprises securely connect, scale, manage, and observe APIs, microservices, and intelligent AI workloads across distributed environments, especially Kubernetes-based and multi-cluster infrastructures. Its core capabilities are built on open source technologies such as Envoy and Istio and include Gloo Gateway for omnidirectional API management (handling external, internal, and third-party traffic with security, authentication, traffic routing, observability, and analytics), Gloo Mesh for centralized multi-cluster service mesh control (simplifying service-to-service connectivity and security across clusters), and Agentgateway/Gloo AI Gateway for secure, governed LLM/AI agent traffic with guardrails and integration support.
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    Datatron

    Datatron

    Datatron

    Datatron offers tools and features built from scratch, specifically to make machine learning in production work for you. Most teams discover that there’s more to just deploying models, which is already a very manual and time-consuming task. Datatron offers single model governance and management platform for all of your ML, AI, and Data Science models in production. We help you automate, optimize, and accelerate your ML models to ensure that they are running smoothly and efficiently in production. Data Scientists use a variety of frameworks to build the best models. We support anything you’d build a model with ( e.g. TensorFlow, H2O, Scikit-Learn, and SAS ). Explore models built and uploaded by your data science team, all from one centralized repository. Create a scalable model deployment in just a few clicks. Deploy models built using any language or framework. Make better decisions based on your model performance.
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    Swiftask

    Swiftask

    Swiftask

    Swiftask enables organizations to orchestrate multiple AI models into automated workflows without coding, delivering enterprise governance and seamless integration. Chain AI models into end-to-end processes: automatically research leads, score opportunities, update CRM; monitor competitors, extract insights, generate reports; analyze tickets, draft responses, translate content, route to teams—transforming hours of work into minutes of automation. Build AI knowledge assistants that query HR policies, technical docs, and product specs, eliminating repetitive questions and reducing response times from hours to seconds. Business teams create agents through intuitive no-code interfaces, defining roles, connecting data, and configuring workflows to deploy in days. Enterprise control includes RBAC, complete audit logs, and SSO/SAML authentication to monitor usage, manage costs, ensure compliance, and eliminate Shadow IT.
    Starting Price: €24/month
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    Databricks Data Intelligence Platform
    The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. The winners in every industry will be data and AI companies. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals. Databricks combines generative AI with the unification benefits of a lakehouse to power a Data Intelligence Engine that understands the unique semantics of your data. This allows the Databricks Platform to automatically optimize performance and manage infrastructure in ways unique to your business. The Data Intelligence Engine understands your organization’s language, so search and discovery of new data is as easy as asking a question like you would to a coworker.
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    FreeShow

    FreeShow

    FreeShow

    FreeShow is a free and open-source presentation program that makes it easy to show text on a big screen. It supports stage display, remote control, media, and many other advanced features. It is open-sourced meaning anyone can contribute.
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    MineMeld

    MineMeld

    Palo Alto Networks

    In order to prevent successful cyberattacks, many organizations collect indicators of compromise (IOCs) from various threat intelligence providers with the intent of creating new controls for their security devices. Unfortunately, legacy approaches to aggregation and enforcement are highly manual in nature, often creating complex workflows and extending the time needed to identify and validate which IOCs should be blocked. Now security organizations can leverage MineMeld, an open-source application that streamlines the aggregation, enforcement and sharing of threat intelligence. MineMeld is available for all users directly on GitHub, as well as pre-built virtual machines (VMs) for easy deployment. With an extensible modular architecture, anyone can add to the MineMeld functionality by contributing code to the open-source repository.
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    Deeploy

    Deeploy

    Deeploy

    Deeploy helps you to stay in control of your ML models. Easily deploy your models on our responsible AI platform, without compromising on transparency, control, and compliance. Nowadays, transparency, explainability, and security of AI models is more important than ever. Having a safe and secure environment to deploy your models enables you to continuously monitor your model performance with confidence and responsibility. Over the years, we experienced the importance of human involvement with machine learning. Only when machine learning systems are explainable and accountable, experts and consumers can provide feedback to these systems, overrule decisions when necessary and grow their trust. That’s why we created Deeploy.
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    Warestack

    Warestack

    Warestack

    Warestack is an agentic AI–powered release protection platform that installs directly into your GitHub organization and enforces custom, context-aware guardrails across every stage of your development workflow. Users write protection rules in plain English, such as requiring approvals for non-hotfix PRs or blocking Friday deployments, and Warestack automatically flags or blocks risky operations, traces events like pull requests, issues, deployments, and workflow runs in real time, and centralizes visibility in a unified dashboard. It integrates seamlessly with tools like GitHub, Slack, and Linear to deliver smart alerts and notifications, while offering one-click audit logs and reports to support SOC-2 and compliance needs. Warestack scales effortlessly across teams and repositories with scoped rule application, role-based enforcement, and a transparent open source rule engine named Watchflow that powers its policy creation.
    Starting Price: $49 per month
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    OpenJDK

    OpenJDK

    Oracle

    The place to collaborate on an open-source implementation of the Java platform, standard edition, and related projects. Download and install the latest open-source JDK. Oracle’s free, GPL-licensed, production-ready OpenJDK JDK 21 binaries for Linux, macOS, and Windows are available, Oracle’s commercially-licensed JDK 21 binaries, based on the same code, are available as well. Browse the code on the web, clone a repository to make a local copy, and contribute a patch to fix a bug, enhance an existing component, or define a new feature. OpenJDK provides source code that developers can use to build their binaries. Consequently, users are responsible for compiling the code and generating the Java runtime tailored to their specific platform. The JDK is a complex software project. Building it requires a certain amount of technical expertise, a fair number of dependencies on external software, and reasonably powerful hardware.
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    Alice

    Alice

    Alice

    Alice (formerly ActiveFence) is a security, safety, and trust platform built to protect AI systems and online platforms in the GenAI era. Powered by the world’s largest adversarial intelligence dataset, Alice safeguards over 3 billion users across more than 120 languages. Its Rabbit Hole intelligence engine continuously analyzes billions of toxic and manipulative data samples to detect emerging threats in real time. The WonderSuite platform includes tools like WonderBuild for pre-launch stress testing, WonderFence for runtime guardrails, and WonderCheck for automated red-teaming. By defending against prompt injection, jailbreaks, governance gaps, and harmful AI behavior, Alice enables enterprises and foundation model labs to innovate with confidence.
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    Apache APISIX

    Apache APISIX

    Apache APISIX

    Apache APISIX provides rich traffic management features like Load Balancing, Dynamic Upstream, Canary Release, Circuit Breaking, Authentication, Observability, etc. Apache APISIX provides open source API Gateway to help you manage microservices, delivering the ultimate performance, security, and scalable platform for all your APIs and microservices. Apache APISIX is the first open-source API Gateway that includes a built-in low-code Dashboard, which offers a powerful and flexible UI for developers to use. The Apache APISIX Dashboard is designed to make it as easy as possible for users to operate Apache APISIX through a frontend interface. It’s open-source and ever evolving, feel free to contribute. The Apache APISIX dashboard is flexible to User demand, providing option to create custom modules through code matching your requirements, alongside the existing no-code toolchain.
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    FairNow

    FairNow

    FairNow

    FairNow equips organizations with all the AI governance tools they need to ensure global compliance and manage AI risk. Loved by CPOs, CAIOs, risk management, and legal professionals, FairNow's features are simplified, centralized, and empowering for the entire team. FairNow’s platform continuously monitors AI models to ensure that every model is fair, compliant, and audit-ready. Top features include: - Intelligent AI Risk Assessments: Conduct real-time assessments of AI models, using their deployment locations to highlight possible reputational, financial, and operational risks. - Hallucination Detection: Proactively detect errors and unexpected answers. - Automated Bias Evaluations: Automate bias evaluations and mitigate algorithmic bias as it happens. Plus: - AI Inventory - Centralized Policy Center - Roles and Controls FairNow’s AI governance platform helps organizations build, buy, and deploy AI with complete confidence.
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    Fairly

    Fairly

    Fairly

    AI and non-AI models need risk management and oversight. Fairly provides a continuous monitoring system for advanced model governance and oversight. With Fairly, risk and compliance teams can collaborate with data science and cyber security teams easily to ensure models are reliable and secure. Fairly makes it easy to stay up-to-date with policies and regulations for procurement, validation and audit of non-AI, predictive AI and generative AI models. Fairly simplifies the model validation and auditing process with direct access to the ground truth in a controlled environment for in-house and third-party models, without adding overhead to development and IT teams. Fairly's platform ensures compliant, secure, and ethical models. Fairly helps teams identify, assess, monitor, report and mitigate compliance, operational and model risks according to internal policies and external regulations.
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    OpenFrame

    OpenFrame

    Flamingo AI, Inc.

    OpenFrame is an open-source IT and security platform built for MSPs who are done paying 30% of revenue to vendors. It unifies endpoint management, security monitoring, and automation into one platform—replacing expensive tools like ConnectWise, Kaseya, and Datto with vetted FOSS alternatives. The platform includes AI copilots (Fae for end-users, Mingo for technicians) that handle routine tasks and reduce labor costs. Multi-tenant architecture means you manage all your clients from a single pane of glass. Key capabilities: unified endpoint management and security monitoring, customizable workflows through modular architecture, AI-driven automation for common IT tasks, and community-driven development for continuous improvement. MSPs using OpenFrame typically reduce vendor payouts by 20-35% while improving EBITDA from 8-12% to 50-60%. Built on the same battle-tested open-source tools already running critical infrastructure worldwide.