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
Gemini platform
Google
Gemini platform is an enterprise AI development and machine learning platform from Google Cloud that enables organizations to build, customize, deploy, and manage AI agents and intelligent applications. Formerly known as Vertex AI, the platform provides access to more than 200 foundation models from Google, third-party providers, and open-source communities. Its Agent Studio and Agent Development Kit allow developers to create autonomous agents, design multistep workflows, and integrate artificial intelligence with enterprise data and external tools. The platform also supports custom model training, fine-tuning, machine learning pipelines, model evaluation, and scalable inference infrastructure. Enterprise capabilities include agent identity management, centralized governance, security policies, persistent memory, and monitoring tools for evaluating agent performance. Gemini platform integrates with BigQuery, Google Antigravity, Google Cloud infrastructure, and developer frameworks to support generative AI applications, predictive analytics, and automated business workflows. -
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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. -
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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. -
5
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 -
6
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. -
8
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. -
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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. -
10
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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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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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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14
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. -
15
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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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. -
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Unity AI Gateway
Databricks
Unity AI Gateway provides centralized governance, observability, and spend controls across enterprise AI systems, helping organizations manage agents, tools, models, MCPs, and AI frameworks from a single governed layer. It applies consistent governance across Databricks-hosted AI, external models, coding agents, agent harnesses, and other AI services without locking teams into a single provider or stack. Identity-aware policies control what agents can access, which actions they can take, and which tools they can use, while built-in, custom, and third-party guardrails enforce safety and compliance across prompts, responses, and interactions. It captures prompts, traces, tool calls, payload logs, audit logs, token usage, and policy decisions to monitor behavior, investigate incidents, and support compliance. Centralized cost controls track consumption across users, teams, applications, agents, and providers, with budgets, rate limits, and hard spend caps. -
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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. -
20
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. -
21
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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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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Openlayer
Openlayer
Openlayer is an enterprise AI governance platform that helps organizations discover, test, monitor, secure, and control AI systems from development through production. The platform brings AI evaluation, observability, governance, guardrails, compliance, gateway enforcement, and cost controls together in one place. Teams can evaluate LLMs, agents, RAG applications, and traditional ML systems using 175+ out-of-the-box evaluations across quality, safety, security, performance, cost, fairness, and compliance. In production, Openlayer provides end-to-end tracing and continuous monitoring of AI behavior, including prompts, responses, tool calls, agent workflows, latency, and cost. Real-time guardrails can detect and block issues such as prompt injection, jailbreak attempts, PII or PHI exposure, and other unsafe behavior before it reaches a model or end user. Openlayer Governance connects organizational AI policies to technical controls. Teams can maintain an AI inventory, assign own -
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ZeroDrift
ZeroDrift
ZeroDrift is an enforcement runtime for AI that checks every AI-generated message against the regulations and company policies that apply before the message is sent. Its Anchor compliance enforcement model combines a purpose-built small language model with a deterministic rules engine to evaluate outputs and return one of four decisions: pass, rewrite, block, or escalate. Every verdict cites the exact rule behind the decision, and rewritten content is checked again before delivery. Organizations can define their own internal policies, restricted lists, approval flows, and communication standards, which ZeroDrift enforces alongside built-in regulatory requirements across AI agents, chat, email, documents, marketing, APIs, and other AI surfaces. Guard provides an enforcement API that can sit in front of any AI agent or LLM, allowing applications to act directly on each verdict without rebuilding the existing AI stack. -
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Model Monster
Model Monster
Model Monster is an AI governance platform for legal, compliance, security, and engineering teams. Its CORE Framework maps Components, Operations, Resources, and Execution into a shared System Blueprint, showing how system parts connect, what they can access, and how information flows. Teams can document use cases, evaluate policies, review risk findings, track versions and audit activity, and record reviewer decisions. Configurable CORE Reports bring system architecture, policies, findings, licensing information, and signoffs into exportable PDFs. A reusable component library and MCP-connected modeling support help teams build and maintain blueprints. API access supports programmatic work, while the platform provides a system-level view for governance and compliance that complements model inventories when assessing system risk.Starting Price: $500/month -
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Kastra
Kastra
Kastra is the authorization layer for AI systems, deciding what agents, models, and AI tools are allowed to do before they do it. It sits in the execution path of every prompt, tool call, shell command, database operation, and API request, evaluates each action against deterministic, attribute-based policy, and returns an allow, deny, redact, or escalate decision in under a millisecond. Unlike monitoring products that observe AI after it acts, Kastra blocks unauthorized behavior before it reaches a tool, API, database, or production system. Its unified control plane combines a policy engine, edge decision points, integrations, and a tamper-evident evidence vault that signs every decision for audit and replay. Kastra Edge brings local enforcement to developer machines, protecting Claude Code, Cursor, Codex CLI, and other coding agents from destructive commands, secret exfiltration, unsafe file writes, and unauthorized tool use.Starting Price: $19.99 per month -
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IndyKite
IndyKite
IndyKite is a context graph purpose-built to deliver real-time trust, control, and explainability for applications and AI. It transforms signals into live enforcement context, evaluated at the moment of use to determine who or what can access which data, under what conditions, and why. It unifies identity, metadata, provenance, and policies into a single operational context engine that applications and AI systems can rely on, instead of keeping context scattered across IAM systems, catalogs, MDM, security tools, code, and documents. IndyKite models identity, data, and policy together so controls can apply to humans, machines, and AI equally. Its Identity Knowledge Graph accurately reflects users, applications, machines, data types, and the relationships between them, creating a real-world data model of both person and non-person entities. This provides the foundation for intelligent, predictive access control, with contextual insights. -
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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. -
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Assurio
SDLC Corp
Assurio is an AI governance, risk management, and assurance platform for organizations overseeing AI systems, models, and agents. It provides an inventory for recording owners, intended uses, components, and suppliers, and connects risk assessments, policies, controls, exceptions, and lifecycle approvals. Evaluation workflows link requirements to test scenarios, metrics, findings, and supporting evidence. Teams can retain decision records and evidence histories, monitor changes, and identify records for reassessment. Assurio maps work to frameworks including NIST AI RMF, ISO/IEC 42001, ISO/IEC 23894, and the EU AI Act; framework mapping is not a compliance determination. The platform is designed to connect with external requirements, model-management, testing, observability, GRC, ERP, CRM, and workflow systems. Customer-hosted and dedicated deployment designs are described for enterprise use.Starting Price: $0 -
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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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Maetra
Maetra
Maetra is an AI governance and compliance control plane for teams operating tool-using AI agents. Discover inventories agents and capabilities; Comply maps systems to applicable frameworks and keeps reusable evidence current; Govern evaluates consequential actions against versioned policies and routes human approval when required. Secure scans prompts, messages, model outputs, and tool calls for prompt injection, data exposure, unsafe actions, and policy violations. Task Guard detects task drift, scope changes, and mismatched effects. Interaction Guard protects supported browser-AI prompts and files, while Audit preserves linked decision, approval, runtime, and change evidence. Teams can adopt modules separately or together through the web app, REST APIs, SDKs, and MCP. A 14-day no-card trial is available, with paid plans from $20/month.Starting Price: $20/month -
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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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Constellation
Constellation
Constellation is a corporate governance platform designed to enforce organizational rules and decision-making constraints in real time. It ensures that every action taken by employees, teams, or AI systems is checked against institutional policies before execution. The platform helps organizations maintain compliance, reduce risk, and improve decision speed without sacrificing oversight. By embedding governance directly into workflows, Constellation eliminates delays caused by manual approvals and fragmented coordination. It provides a structured system where decisions are both fast and accountable. -
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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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FirstHelm
FirstHelm
FirstHelm is a control plane for AI agents. It sits between your agent fleet — n8n, OpenAI, Anthropic, CrewAI, LangChain, Microsoft Copilot Studio, or any custom agent via REST API — and the rest of the world, deciding what each agent is allowed to do, not just showing what it did. Every action is logged and checked in flight against your rules: budget caps, blocked actions, and per-mission cost and token visibility. Expensive, risky or irreversible actions are held for human approval, and unanswered approvals expire safely — silence is not consent. Live dashboards let you steer agents mid-mission, and FirstHelm generates audit trails and compliance exports mapped to the EU AI Act, ISO 42001, SOC 2, UK GDPR, NIST AI RMF and FCA expectations — 38 controls, scored live from your own data. Freemium, framework-agnostic, UK-built.Starting Price: £23/user/month -
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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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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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Tuning Engines
CerebrixOS
Tuning Engines is a unified AI control and governance layer for teams building production intelligence across models, agents, tools, and fine-tuned systems. It brings together the full AI lifecycle in one governed platform: inference, model routing, fallback policies, fine-tuning jobs, datasets, evaluations, model imports and exports, custom models, agents, MCP servers, reusable skills, guardrails, AGT YAML policies, data capture, runtime traces, usage analytics, API keys, billing, team roles, and integrations. Developers get OpenAI-compatible APIs, Anthropic-compatible routes, CLI workflows, MCP access, coding-agent integrations, and resource catalogs for models, agents, tools, and skills. Teams can connect Claude Code, OpenCode, Aider, Cline, Roo, Continue.dev, Cursor, VS Code, Windsurf, and other AI workflows through a single governed platform. -
41
KYDE
KYDE
KYDE is the behavioral firewall for AI agents. KYDE makes AI agents trustworthy enough to hand them real responsibility. It prevents what an agent must not do, proves what it did, and keeps your knowledge yours. Not on the machine. Not in the agent. KYDE sits outside, in the request path between your agents and every LLM provider — every action intercepted, scoped, and signed before it executes. Outside the agent. Cannot be overridden. Zero code changes. One environment variable. Provider-agnostic, MCP-ready, <100 ms target latency. Three functions. One layer. PROVE — After the action. An audit trail that is architecturally independent of every LLM provider: Ed25519-signed, hash-chained, captured at the boundary, undeletable by any agent. The suspect can't write the police report. RATE — Across the network. The KYDE Trust Score™: agent behavior rated across every provider in the same currency. Vendors grade their own homework. We grade behavior. -
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Klique
Klique
Klique is an enterprise AI control plane that helps organizations manage AI models, applications, agents, and computing resources through a unified platform. The software combines intelligent model routing, AI service governance, and GPU orchestration to optimize performance, infrastructure utilization, and operational costs. Its smart routing engine directs AI requests to appropriate models based on cost, latency, data sensitivity, and organizational policies. Centralized governance capabilities include token budgets, usage quotas, role-based permissions, single sign-on, and audit logging across AI services. Klique also supports GPU resource pooling, fractional GPU sharing, workload scheduling, and automated allocation of computing resources across cloud and on-premises infrastructure. The platform integrates with Kubernetes, cloud providers, AI model APIs, and developer tools while supporting self-hosted, hybrid, and air-gapped deployments. -
43
Myra AI Workspace
Myra Security
Myra AI Workspace combines an AI gateway with a governed workspace for organizations using AI with sensitive data. Employees use chat, projects, knowledge sources, file imports, and document-generation tools, while administrators manage access, models, and guardrails. The gateway connects to 20+ model providers, including OpenAI, Anthropic, Gemini, Azure OpenAI, AWS Bedrock, Mistral, Groq, DeepSeek, and xAI, through one OpenAI-compatible endpoint. BYOK support lets organizations use provider contracts. A color-coded privacy indicator shows whether data stays on Myra infrastructure with open-weight models, is PII-masked before reaching external models, or requires administrator approval. Features include configurable guardrails, PII masking, tamper-evident audit logs, three-level budget controls, MCP connectors, SCIM, and SIEM forwarding. The platform runs on Myra's EU infrastructure.Starting Price: €13/user/month -
44
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 -
45
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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Darktrace / SECURE AI
Darktrace
Darktrace / SECURE AI is an AI security solution that brings every AI interaction across an organization into a single view, helping teams understand intent, assess risk, protect sensitive data, and support policy alignment. It monitors prompts, sessions, and responses in real time across enterprise GenAI tools such as Microsoft Copilot and ChatGPT Enterprise, low-code environments including Microsoft Copilot Studio, high-code platforms such as Amazon Bedrock and SageMaker, SaaS applications, and SASE. Behavioral analytics distinguish normal, business-aligned activity from significant or risky deviations, detecting conversational prompt attacks, malicious chaining, and unsafe actions without relying only on historical attack patterns. Darktrace learns directly from the environment it protects, allowing it to identify novel and AI-related threats on first encounter. -
48
EquityPath
EquityPath
Identify, measure, and correct potential wage disparities across races/genders among similar workers based on their individual pay records. Make adjustments quickly in response to potential discrimination problems and design an equitable Reduction-In-Force (RIF) process, including layoffs and furloughs, that is fair and less prone to litigation. EquityPath RIF is a web-based software specifically designed for analyzing equity issues related to Reduction-In-Force (RIF), including layoffs and furloughs. It combines an interactive user interface, sophisticated econometric models, and easy-to-digest dashboard to identify, measure, and correct potential discriminative behaviors across races/genders among similar workers. EquityPath RIF allows you to make adjustments quickly in response to potential discrimination problems and design an equitable RIF process that is fair and less prone to litigation.Starting Price: $21 per month -
49
systemprompt.io
SystemPrompt
SystemPrompt is a self-hostable AI governance and runtime platform for organizations connecting AI clients, model providers, and tools. It provides a shared gateway and control plane for managing user and agent access, model routing, tool permissions, credentials, and policy checks. Requests and tool actions can be recorded in the organization's environment for audit and usage review. The platform supports connections to Anthropic, OpenAI, Google Gemini, and Groq, and uses the Model Context Protocol (MCP) to expose authorized tools to compatible clients. Teams can extend the runtime with agents, workflows, skills, and business-specific services, and deploy it through a binary, containers, or managed cloud tenants. SystemPrompt is intended for technical and security teams governing AI workloads. Local evaluation is free; production use and cloud hosting require commercial terms. -
50
Rithmo
Rithmo
Rithmo is the fact-checker for AI agents. It helps organizations prevent autonomous and managed agents from acting on stale, conflicting, or superseded business information. Rithmo continuously reconciles decisions made across meetings, messages, and operational systems so agents can work from the current business truth rather than simply the information they retrieve. When context changes, Rithmo can identify the discrepancy, provide the resolved answer with provenance, and prevent an agent from proceeding when the conflict cannot be safely resolved. As part of the AI agent governance and agent reliability stack, Rithmo provides decision history, provenance, supersession, and an audit trail showing what changed and why. Rithmo complements AI agent memory, orchestration, observability, security, and enterprise search by addressing a different problem: whether the business context driving an agent’s action is still true.
