Alternatives to SolasAI
Compare SolasAI alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to SolasAI in 2026. Compare features, ratings, user reviews, pricing, and more from SolasAI competitors and alternatives in order to make an informed decision for your business.
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1
Vertex AI
Google
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. -
2
OneTrust Privacy Automation
OneTrust
Go beyond compliance and build trust through transparency, choice, and control. People demand greater control of their data, unlocking an opportunity for organizations to use these moments to build trust and deliver more valuable experiences. We provide privacy and data governance automation to help organizations better understand their data across the business, meet regulatory requirements, and operationalize risk mitigation to provide transparency and choice to individuals. Achieve data privacy compliance faster and build trust in your organization. Our platform helps break down silos across processes, workflows, and teams to operationalize regulatory compliance and enable trusted data use. Build proactive privacy programs rooted in global best practices, not reactive to individual regulations. Gain visibility into unknown risks to drive mitigation and risk-based decision making. Respect individual choice and embed privacy and security by default into the data lifecycle. -
3
Amazon SageMaker
Amazon
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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Sola
Sola
Sola is an AI-native process automation platform designed to help enterprises move beyond the limitations of traditional RPA. It enables teams to automate workflows using intelligent, adaptive agents that learn and improve over time. With a no-code, visual interface, Sola empowers business users to build and maintain automations without relying on developers. The platform transforms simple screen recordings into fully automated workflows in minutes, delivering rapid time-to-value. Sola’s agentic engine goes beyond rule-based execution by making decisions and optimizing workflows in real time. It supports document processing, data transformation, orchestration, and UI-based automation across desktop and browser environments. Trusted by leading enterprises, Sola helps organizations reduce manual work, increase accuracy, and scale operations efficiently. -
5
Sola Security
Sola Security
Sola Security is an AI-first security studio that empowers users to build tailored cybersecurity applications in minutes through a no-code, AI-driven interface. You simply pose a security question, like identifying misconfigured S3 buckets or compromised user accounts, and Sola AI instantly generates a working app complete with data queries, dashboards, alerts, and visual summaries, all adaptable to your existing infrastructure. It offers ready-made templates for common use cases across AWS, GitHub, Google Workspace, Okta, MongoDB, Wiz, and more, which users can customize further or use as-is. Sola bridges across diverse tech stacks with deep integrations, from cloud platforms and identity providers to CRM and monitoring tools, so you can synthesize cross-domain insights quickly. Built by infosec experts, Sola is secure by design, featuring SOC 2 and ISO 27001 certification, active security oversight, and strict data privacy principles. -
6
Sola Payments
Sola Payments
Sola Payments is a complete omnichannel payment processing platform that unifies online, in-person, and mobile transaction acceptance with tools for billing, invoicing, recurring and usage-based billing, and flexible pricing logic, enabling businesses to offer seamless checkout experiences across channels while managing all payment activity from a centralized merchant portal. It supports a wide range of payment methods, including credit and debit cards, ACH, digital wallets like Apple Pay and Google Pay, EBT/EBT SNAP, gift cards, multi-currency transactions, and contactless payments, so merchants and platforms can meet customer preferences and expand revenue opportunities. Sola’s integrated suite includes features like smart retry for failed transactions, automated reporting and revenue recognition, and promotional pricing, helping reduce revenue loss and streamline financial operations.Starting Price: Free -
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Q10
Q10
Q10 es una plataforma integral en la nube para administrar la información del todo el ciclo de vida del estudiante en una sola solución: desde la gestión comercial, inscripción y admisión, hasta la gestión académica, financiera, la educación virtual y el egreso. Más de 3.000 instituciones de educación en Latinoamérica utilizan Q10 para digitalizar su operación. ¿Qué problema resuelve? Muchas instituciones educativas gestionan su operación utilizando diferentes sistemas o herramientas para cada proceso: plataformas para admisiones, sistemas académicos, aulas virtuales, facturación o herramientas de comunicación. Q10 resuelve este problema al centralizar en una sola plataforma la información y los procesos de todo el ciclo de vida del estudiante: desde la gestión comercial, la inscripción y admisión, hasta la gestión académica, financiera, la educación virtual y el egreso.Starting Price: $490/semestre -
8
eCollege
SOLAS
We are eCollege, your digital gateway to further education and training, funded by SOLAS. Our mission is to give you excellent online learning experiences, tailored to enhance your skills and empower your personal and career growth. We work with learning providers to bring you free, part-time online programmes in fields that are highly sought after by employers, essential for thriving in the digital era, and designed to be enjoyable and engaging. We offer a range of courses to suit your needs, whether that is formal accreditation supported by online tutors, or self-directed courses to help you build your skills and knowledge. You can join some of our courses straightaway, while some offer you a fixed start date so you can experience the course as part of a group of learners. Dive into our course catalogue to start learning! -
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Pole Star Maritime Domain Awareness
Pole Star
Pole Star’s secure cloud-based MDA solution provides an integrated data management platform for those associated with Homeland Security to rapidly and accurately collect and correlate maritime geospatial data. Utilising secure satellite data (including LRIT, VMS, and SSAS sources), alongside satellite and terrestrial-based AIS data, our patented tracking technology creates a hybrid track of not only your domestic LRIT vessels, but also your non-SOLAS fleet and any maritime asset operating and reporting within your desired area of interest. Access complete terrestrial & satellite AIS and blended tracking technology, combining multiple position data points into a single, seamless position track. View all ships located within a user defined radius of any ship or location for immediate identification of vessels in close proximity. -
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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. -
11
Azure Machine Learning
Microsoft
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. -
12
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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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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The biggest challenge to scaling AI-powered decision-making is unused data. IBM Cloud Pak® for Data is a unified platform that delivers a data fabric to connect and access siloed data on-premises or across multiple clouds without moving it. Simplify access to data by automatically discovering and curating it to deliver actionable knowledge assets to your users, while automating policy enforcement to safeguard use. Further accelerate insights with an integrated modern cloud data warehouse. Universally safeguard data usage with privacy and usage policy enforcement across all data. Use a modern, high-performance cloud data warehouse to achieve faster insights. Empower data scientists, developers and analysts with an integrated experience to build, deploy and manage trustworthy AI models on any cloud. Supercharge analytics with Netezza, a high-performance data warehouse.Starting Price: $699 per month
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Credo AI
Credo AI
Standardize your AI governance efforts across diverse stakeholders, ensure regulatory readiness of your governance processes, and measure and manage your AI risks and compliance. Go from fragmented teams and processes to a centralized repository of trusted governance that makes it easy to ensure all of your AI/ML projects are being governed effectively. Stay up-to-date with the latest regulations and standards with AI Policy Packs that meet current and emerging regulations. Credo AI is an intelligence layer that sits on top of your AI infrastructure and translates technical artifacts into actionable risk & compliance insights for product leaders, data scientists, and governance teams. Credo AI is an intelligence layer that sits on top of your technical and business infrastructure and translates technical artifacts into risk and compliance scores. -
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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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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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DueDel
DueDel
DueDel is an enterprise-grade intelligence platform that unifies AI risk assessment, AI guardrails, and data protection into one secure, compliant ecosystem. The AI Risk Assessment Tool converts complex data into decision-ready summaries, detects early risk signals, uncovers market trends, and delivers predictive insights for investors, executives, and compliance teams. The Data Protection Fabric ensures no sensitive data ever reaches AI models by applying encryption, tokenization, and redaction—maintaining full compliance with RBI, SEBI, DPDP, and internal policies. The AI Guardrail Gateway gives complete control over what AI sees and generates, blocking harmful prompts, preventing hallucinations, enforcing policy-based routing, and securing external LLM usage with audit-grade logs. Together, DueDel enables regulated enterprises to govern AI safely while making faster, smarter, and fully compliant financial decisions.Starting Price: $0 -
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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. -
20
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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SigmaRed
SigmaRed
Our platform dynamically assesses and mitigates AI risks in models and datasets concerning bias, proxy bias and fairness. Our Responsible AI technology enables deeper visibility into AI models and makes them explainable and interpretable. Our research-based AI robustness assurance algorithms identify and mitigate risks related to lack of robustness. Our platform reviews AI landscape about various AI and MRM regulations and provides deeper risk analysis, comprehensive reporting, and automated remediation. AI risks across in-house AI systems as well as AI systems provided by third parties need to be assessed and remediated. SigmaRed platform enables comprehensive third-party AI risk management (AI TPRM) and rapidly reduces the cycle time of conducting AI risk assessments while providing deep visibility, control, stakeholder-based reporting, and detailed evidence repository. -
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Intraspexion
Intraspexion
The cost of commercial tort litigation against the business (where benefits paid = losses + defense attorney fees + administrative costs, e.g., gathering documents, meeting with counsel, sitting for depositions, etc.) was about $160 billion per year. For the 10-year period, the total was almost $1.6 trillion. To train a deep learning model of the federal court’s category of civil rights-employment, i.e., “employment discrimination,” we extracted allegations of fact from 400 complaints filed in federal court (no emails). We put the employment discrimination model in a GPU instance in Microsoft Azure and AWS and tested it with 20,401 emails from the Enron. The model had not previously assessed any emails. You can export each true positive email to an internal investigation or case management platform. And, because there’s a database hooked to the UI, you can save those true positives, then add them to the initial training set and re-train the model. -
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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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While not all models are created equal, every model needs governance to drive responsible and ethical decision-making throughout the business. IBM® watsonx.governance™ toolkit for AI governance allows you to direct, manage and monitor your organization’s AI activities. It employs software automation to strengthen your ability to mitigate risks, manage regulatory requirements and address ethical concerns for both generative AI and machine learning (ML) models. Access automated and scalable governance, risk and compliance tools that cover operational risk, policy management, compliance, financial management, IT governance and internal or external audits. Proactively detect and mitigate model risks while translating AI regulations into enforceable policies for automatic enforcement.Starting Price: $1,050 per month
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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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Snitch AI
Snitch AI
Quality assurance for machine learning simplified. Snitch removes the noise to surface only the most useful information to improve your models. Track your model’s performance beyond just accuracy with powerful dashboards and analysis. Identify problems in your data pipeline and distribution shifts before they affect your predictions. Stay in production once you’ve deployed and gain visibility on your models & data throughout its cycle. Keep your data secure, cloud, on-prem, private cloud, hybrid, and you decide how to install Snitch. Work within the tools you love and integrate Snitch into your MLops pipeline! Get up and running quickly, we keep installation, learning, and running the product easy as pie. Accuracy can often be misleading. Look into robustness and feature importance to evaluate your models before deploying. Gain actionable insights to improve your models. Compare against historical metrics and your models’ baseline.Starting Price: $1,995 per year -
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Monitaur
Monitaur
Creating responsible AI is a business problem, not just a tech problem. We solve for the whole problem by bringing teams together onto one platform to mitigate risk, leverage your full potential, and turn intention into action. Uniting every stage of your AI/ML journey with cloud-based governance applications. GovernML is the kickstarter you need to bring good AI/ML systems into the world. We bring user-friendly workflows that document the lifecycle of your AI journey on one platform. That’s good news for your risk mitigation and your bottom line. Monitaur provides cloud-based governance applications that track your AI/ML models from policy to proof. We are SOC 2 Type II-certified to enhance your AI governance and deliver bespoke solutions on a single unifying platform. GovernML brings responsible AI/ML systems into the world. Get scalable, user-friendly workflows that document the lifecycle of your AI journey on one platform. -
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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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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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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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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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Mind Foundry
Mind Foundry
Mind Foundry is an artificial intelligence company operating at the intersection of research, innovation, and usability to empower teams with AI that is built for humans. Founded by world-leading academics, Mind Foundry develops AI solutions that help organisations in the public and private sectors tackle high-stakes problems, focusing on human outcomes and the long-term impact of AI interventions. Our intrinsically collaborative platform powers AI design, testing and deployment and enables stakeholders to manage their AI investment responsibly with key focus on performance, efficiency and ethical impact. Built on a cornerstone of scientific principles and an understanding that you can’t add things like ethics and transparency after the fact. The fusion of experience design and quantitative methods that makes collaboration between humans and AI more intuitive, efficient and powerful. -
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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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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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Azure AI Content Safety
Microsoft
Azure AI Content Safety is a content moderation platform that uses AI to keep your content safe. Create better online experiences for everyone with powerful AI models that detect offensive or inappropriate content in text and images quickly and efficiently. Language models analyze multilingual text, in both short and long form, with an understanding of context and semantics. Vision models perform image recognition and detect objects in images using state-of-the-art Florence technology. AI content classifiers identify sexual, violent, hate, and self-harm content with high levels of granularity. Content moderation severity scores indicate the level of content risk on a scale of low to high. -
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ModelOp
ModelOp
ModelOp is the leading AI governance software that helps enterprises safeguard all AI initiatives, including generative AI, Large Language Models (LLMs), in-house, third-party vendors, embedded systems, etc., without stifling innovation. Corporate boards and C‑suites are demanding the rapid adoption of generative AI but face financial, regulatory, security, privacy, ethical, and brand risks. Global, federal, state, and local-level governments are moving quickly to implement AI regulations and oversight, forcing enterprises to urgently prepare for and comply with rules designed to prevent AI from going wrong. Connect with AI Governance experts to stay informed about market trends, regulations, news, research, opinions, and insights to help you balance the risks and rewards of enterprise AI. ModelOp Center keeps organizations safe and gives peace of mind to all stakeholders. Streamline reporting, monitoring, and compliance adherence across the enterprise. -
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Lunar.dev
Lunar.dev
Lunar.dev is an AI gateway and API consumption management platform that gives engineering teams a single, unified control plane to monitor, govern, secure, and optimize all outbound API and AI agent traffic, including calls to large language models, Model Context Protocol tools, and third-party services, across distributed applications and workflows. It provides real-time visibility into usage, latency, errors, and costs so teams can observe every model, API, and agent interaction live, and apply policy enforcement such as role-based access control, rate limiting, quotas, and cost guards to maintain security and compliance while preventing overuse or unexpected bills. Lunar.dev's AI Gateway centralizes control of outbound API traffic with identity-aware routing, traffic inspection, data redaction, and governance, while its MCPX gateway consolidates multiple MCP servers under one secure endpoint with full observability and permission management for AI tools.Starting Price: Free -
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Qlik Staige
QlikTech
Harness the power of Qlik® Staige™ to make AI real by delivering a trusted data foundation, automation, actionable predictions, and company-wide impact. AI isn’t just experiments and initiatives — it’s an entire ecosystem of files, scripts, and results. Wherever your investments, we’ve partnered with top sources to bring you integrations that save time, enable management, and validate quality. Automate the delivery of real-time data into AWS data warehouses or data lakes, and make it easily accessible through a governed catalog. Through our new integration with Amazon Bedrock, you can easily connect to foundational large language models (LLMs) including A21 Labs, Amazon Titan, Anthropic, Cohere, and Meta. Seamless integration with Amazon Bedrock makes it easier for AWS customers to leverage large language models with analytics for AI-driven insights. -
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Acuvity
Acuvity
Acuvity is the most comprehensive AI security and governance platform for your employees and applications. DevSecOps implements AI security without code changes and devs can focus on AI Innovation. Pluggable AI security results in completeness of coverage, without old libraries or insufficient coverage. Optimize costs by efficiently using GPUs only for LLM models. Full visibility into all GenAI models, apps, plugins, and services that your teams are using and exploring. Granular observability into all GenAI interactions with comprehensive logging and an audit trail of inputs and outputs. AI usage in enterprises requires a specialized security framework that is able to address new AI risk vectors and comply with emerging AI regulations. Employees can use AI confidently, without risking exposing confidential data. Legal would like to ensure there are no copyright, or regulatory issues while using AI-generated content. -
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Cisco AI Defense
Cisco
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. -
41
Sekura.ai
Sekura.ai
Sekura.ai offers AI-based cybersecurity applications designed to enhance threat detection and response capabilities. Their solutions leverage advanced artificial intelligence to identify and mitigate security risks in real time, providing organizations with robust protection against cyber threats. Harness AI advances while protecting sensitive data, maintaining compliance, and keeping your engineering team focused on core products. Deploy advanced LLMs safely to enhance both internal operations and customer experiences. Instantly detect and redact sensitive information during all LLM operations, from training to inference. Control access to sensitive training data and prompts. Use external models without exposing private information. Set granular permissions for data access with time-based controls. Meet evolving data privacy standards with confidence. Leverage public LLMs securely without building costly internal models. -
42
WhyLabs
WhyLabs
Enable observability to detect data and ML issues faster, deliver continuous improvements, and avoid costly incidents. Start with reliable data. Continuously monitor any data-in-motion for data quality issues. Pinpoint data and model drift. Identify training-serving skew and proactively retrain. Detect model accuracy degradation by continuously monitoring key performance metrics. Identify risky behavior in generative AI applications and prevent data leakage. Protect your generative AI applications are safe from malicious actions. Improve AI applications through user feedback, monitoring, and cross-team collaboration. Integrate in minutes with purpose-built agents that analyze raw data without moving or duplicating it, ensuring privacy and security. Onboard the WhyLabs SaaS Platform for any use cases using the proprietary privacy-preserving integration. Security approved for healthcare and banks. -
43
WrangleAI
WrangleAI
WrangleAI is an enterprise-grade platform that gives organizations visibility, control, and governance over their AI usage and spending. It acts as a “control plane” for generative-AI tools (like GPT-4, Claude, Gemini, and more), providing real-time usage tracking across providers, cost intelligence, infrastructure monitoring, and spend caps so companies can avoid runaway budgets. WrangleAI offers AI observability, helping teams understand which models are being used, by whom, and for what purposes, plus routing intelligence that can redirect workloads to more cost-effective models while maintaining output quality. It also includes governance features such as role-based access control and compliance support (e.g., for SOC 2 / ISO 27001 standards), enabling finance, engineering, and leadership teams to coordinate, enforce policies, and get actionable recommendations for optimizing AI spending and usage.Starting Price: $25.15 per month -
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Adeptiv AI
Adeptiv AI
AI Governance platform automatically discovers AI inventory, automates compliance, manages AI risks, and continuously monitors model behaviour — ensuring every AI system you deploy remains trusted, safe, and audit-ready. Our AI-powered platform discovers AI systems, auto-maps 30+ global regulations, generates and manages AI-specific risks, evaluates model behaviour in real time, produces audit-ready compliance, and much more. The Adeptiv AI Governance Dashboard is a centralised intelligence layer designed for enterprise-grade oversight of AI systems. It consolidates all critical governance metrics into a single, real-time interface—including total AI use cases, compliance progress, pass/fail rates, evidence submission rates, and business-unit level adoption trends. Risk management is strengthened through detailed views of risk status, severity distribution, and resolution trends, enabling teams to quickly prioritize high-impact areas.Starting Price: $899 -
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VerifyWise
VerifyWise
VerifyWise is an open-source AI governance platform that helps organizations document, assess, and manage their AI systems in a transparent and structured way. Built to support compliance with frameworks like ISO/IEC 42001, NIST AI RMF, and the EU AI Act, it offers a centralized registry where teams can log every AI system, along with its purpose, model type, deployment details, and risk classification. Whether it’s a large language model, a computer vision system, or a rules-based tool, VerifyWise helps you keep track of everything in one place. The platform’s open-source nature means it’s fully self-hostable and adaptable. Organizations can audit the code, contribute improvements, and extend functionality to meet specific needs. Security is built-in, with automated checks for credential leaks, license issues, and dependency vulnerabilities. It supports external contributions while maintaining high code quality standards, making it ideal for both public and private sector use.Starting Price: $129/month -
46
Controllo
Controllo
Controllo is an AI-enhanced Governance, Risk, and Compliance (GRC) platform that unifies data, tools, and teams to streamline audit and compliance processes, thereby reducing timelines and costs. It offers comprehensive end-to-end GRC management, providing information security teams with a 360-degree view of compliance across multiple frameworks, all mapped to each other, along with risk assessments and control implementations. The platform features high-level dashboards for real-time insights and integrates seamlessly with ticketing systems like Jira and ServiceNow, as well as communication tools, to drive effective risk mitigation. It prioritizes vulnerabilities based on actual cyber risk impact rather than just technical severity scores, empowering data-driven mitigation decisions and ensuring regulatory compliance. Controllo supports various frameworks. -
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Dataplex Universal Catalog
Google
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 -
48
SAP LeanIX
SAP
SAP LeanIX is an enterprise architecture and transformation management platform that helps organizations make smarter, faster business decisions. It provides complete visibility into a company’s software landscape—whether purchased, planned, or developed—to enable better risk management, modernization, and strategic planning. By serving as a single source of truth, SAP LeanIX aligns IT and business leaders around shared goals and supports efficient ERP and digital transformations. Its generative AI-powered features, like the AI-assisted Inventory Builder, drastically reduce manual data entry and accelerate architecture documentation. The platform also helps identify risks, optimize applications, and manage dependencies across complex IT ecosystems. Trusted by global enterprises like Volkswagen, Bosch, DHL, and Workday, SAP LeanIX empowers companies to transform confidently and achieve continuous operational excellence. -
49
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. -
50
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.
