Alternatives to elsai Foundry
Compare elsai Foundry alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to elsai Foundry in 2026. Compare features, ratings, user reviews, pricing, and more from elsai Foundry competitors and alternatives in order to make an informed decision for your business.
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Gemini Enterprise Agent Platform is a comprehensive solution from Google Cloud designed to help organizations build, scale, govern, and optimize AI agents. It represents the evolution of Vertex AI, combining advanced model development with new capabilities for agent orchestration and integration. The platform provides access to over 200 leading AI models, including Google’s Gemini series and third-party options like Anthropic’s Claude. It enables teams to create intelligent agents using both low-code and code-first development environments. With features like Agent Runtime and Memory Bank, businesses can deploy long-running agents that retain context and perform complex workflows. The platform emphasizes security and governance through tools like Agent Identity, Agent Registry, and Agent Gateway. It also includes optimization tools such as simulation, evaluation, and observability to ensure consistent agent performance.
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Dataiku
Dataiku
Dataiku is an enterprise AI platform designed to help organizations move from fragmented AI efforts to fully scalable and governed AI success. It brings together people, data, and technology into a single system that enables collaboration between domain experts and technical teams. The platform allows users to build, deploy, and manage AI models, analytics workflows, and AI agents with greater efficiency. Dataiku emphasizes orchestration by connecting data sources, applications, and machine learning processes into unified pipelines. It also provides strong governance capabilities, helping organizations monitor performance, control costs, and reduce risks across AI initiatives. Businesses across industries use Dataiku to modernize analytics, automate workflows, and scale machine learning across teams. With proven results from global enterprises, the platform supports faster innovation and measurable ROI through AI-driven solutions. -
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elsai
elsai
elsai is a purpose-built agentic operations platform that gives regulated enterprises the infrastructure to run AI at production scale — not just in pilots. The platform combines three integrated layers: a domain intelligence layer trained to comprehend patient records, financial instruments, and regulatory documents; a multi-agent orchestration engine that sequences specialized agents across complex workflows; and ARMS, a full-observability governance framework that tracks every token, decision, and cost in real time. With 200+ pre-built enterprise integrations and a structured six-stage deployment path, elsai is production-ready for healthcare, BFSI, life sciences, and logistics — governed, auditable, and built on 16 years of enterprise delivery. -
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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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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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Vivgrid
Vivgrid
Vivgrid is a development platform for AI agents that emphasizes observability, debugging, safety, and global deployment infrastructure. It gives you full visibility into agent behavior, logging prompts, memory fetches, tool usage, and reasoning chains, letting developers trace where things break or deviate. You can test, evaluate, and enforce safety policies (like refusal rules or filters), and incorporate human-in-the-loop checks before going live. Vivgrid supports the orchestration of multi-agent systems with stateful memory, routing tasks dynamically across agent workflows. On the deployment side, it operates a globally distributed inference network to ensure low-latency (sub-50 ms) execution and exposes metrics like latency, cost, and usage in real time. It aims to simplify shipping resilient AI systems by combining debugging, evaluation, safety, and deployment into one stack, so you're not stitching together observability, infrastructure, and orchestration.Starting Price: $25 per month -
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Velatir
Velatir
Velatir is an AI-governance platform designed to bridge advanced AI systems with compliance and human oversight. We provide human-in-the-loop governance that turns regulation from a barrier into an enabler. Using a smart policy engine, intelligent routing, seamless approval workflows (via Slack, Teams, email, or web), and full audit logging, Velatir ensures AI adoption is safe, explainable, and scalable. Built on a 100 % EU-based stack, we help operations, IT, and compliance teams manage risk, compliance, and efficiency.Starting Price: 98 EUR/month -
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Maxim
Maxim
Maxim is an agent simulation, evaluation, and observability platform that empowers modern AI teams to deploy agents with quality, reliability, and speed. Maxim's end-to-end evaluation and data management stack covers every stage of the AI lifecycle, from prompt engineering to pre & post release testing and observability, data-set creation & management, and fine-tuning. Use Maxim to simulate and test your multi-turn workflows on a wide variety of scenarios and across different user personas before taking your application to production. Features: Agent Simulation Agent Evaluation Prompt Playground Logging/Tracing Workflows Custom Evaluators- AI, Programmatic and Statistical Dataset Curation Human-in-the-loop Use Case: Simulate and test AI agents Evals for agentic workflows: pre and post-release Tracing and debugging multi-agent workflows Real-time alerts on performance and quality Creating robust datasets for evals and fine-tuning Human-in-the-loop workflowsStarting Price: $29/seat/month -
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JetStream Security
JetStream
JetStream Security is a security-first AI governance platform designed to give enterprises full visibility, control, and accountability over their AI systems by turning them from opaque, fragmented tools into managed, traceable infrastructure. It acts as a centralized control plane that connects identity, runtime governance, observability, and financial oversight into a single system, allowing organizations to “see every AI action, tie actions to accountable owners, [and] keep workflows inside approved boundaries” while enforcing policy at runtime. It introduces agentic identity, binding human, agentic, and non-human identities to specific actions and access permissions, ensuring every invocation, tool call, or workflow can be traced and governed through least-privilege access principles. Through continuous runtime governance, JetStream compares live AI behavior against approved blueprints, using immutable logging and real-time observability to detect drift. -
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Warestack
Warestack
Warestack is an agentic AI–powered release protection platform that installs directly into your GitHub organization and enforces custom, context-aware guardrails across every stage of your development workflow. Users write protection rules in plain English, such as requiring approvals for non-hotfix PRs or blocking Friday deployments, and Warestack automatically flags or blocks risky operations, traces events like pull requests, issues, deployments, and workflow runs in real time, and centralizes visibility in a unified dashboard. It integrates seamlessly with tools like GitHub, Slack, and Linear to deliver smart alerts and notifications, while offering one-click audit logs and reports to support SOC-2 and compliance needs. Warestack scales effortlessly across teams and repositories with scoped rule application, role-based enforcement, and a transparent open source rule engine named Watchflow that powers its policy creation.Starting Price: $49 per month -
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asqav
asqav
asqav is an AI governance and security platform designed to make AI agents audit-ready by providing real-time monitoring, enforcement, and verifiable proof of every action taken by an agent. It introduces a lightweight SDK that allows developers to integrate governance directly into their agents in just a few lines of code, enabling continuous oversight across the full lifecycle of AI operations. It includes behavioral monitoring to detect issues such as drift, rate limits, and scope violations, along with advanced threat detection that identifies prompt injections, exposure of sensitive data, toxic outputs, and other risks. It enforces policy through configurable “policy gates,” which apply per-agent rules, preflight checks, and dynamic approvals before actions are executed, ensuring that agents operate within defined boundaries. asqav also provides automated incident response capabilities, including the ability to suspend, quarantine, or escalate risky agents.Starting Price: $39 per month -
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Solo Enterprise
Solo Enterprise
Solo Enterprise provides a unified cloud-native application networking and connectivity platform that helps enterprises securely connect, scale, manage, and observe APIs, microservices, and intelligent AI workloads across distributed environments, especially Kubernetes-based and multi-cluster infrastructures. Its core capabilities are built on open source technologies such as Envoy and Istio and include Gloo Gateway for omnidirectional API management (handling external, internal, and third-party traffic with security, authentication, traffic routing, observability, and analytics), Gloo Mesh for centralized multi-cluster service mesh control (simplifying service-to-service connectivity and security across clusters), and Agentgateway/Gloo AI Gateway for secure, governed LLM/AI agent traffic with guardrails and integration support. -
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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. -
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Preloop
Preloop
Preloop is the open source AI agent control plane for agents that take real actions. It combines an MCP firewall for tool access, an AI model gateway for cost, safety, and attribution, policy-as-code with human approvals, runtime session observability, and audit trails in a single self-hostable platform. AI agents can deploy code, change infrastructure, move money, touch production data, and burn model spend in seconds, so Preloop helps teams control what agents can do, how much they spend, and which actions require human approval. It works with OpenClaw, Hermes, Claude Code, Codex CLI, Cursor, Gemini CLI, Windsurf, Cline, OpenCode, and any MCP-compatible agent or managed runtime. Access rules can inspect arguments and context, not just tool names, with CEL expressions for fine-grained conditions. Teams can start with observability, then layer in approvals and deny rules without SDKs or invasive app changes.Starting Price: $290 per month -
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LangProtect
LangProtect
LangProtect is an AI-native security and governance platform that protects LLM and Generative AI applications from prompt injection, jailbreaks, sensitive data leakage, and unsafe or non-compliant outputs. Built for production GenAI, it enforces real-time runtime controls at the AI execution layer by inspecting prompts, model responses, and tool/function calls as they happen. This allows teams to block high-risk behavior before it reaches end users, triggers downstream actions, or exposes confidential data. LangProtect integrates into existing LLM stacks via an API-first approach with minimal latency and supports cloud, hybrid, and on-prem deployments for enterprise security and data residency needs. It also secures modern architectures such as RAG pipelines and agentic workflows with policy-driven enforcement, continuous visibility, and audit-ready governance. -
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Oracle AI Agent Platform
Oracle
Oracle AI Agent Platform is a fully-managed service that enables the creation, deployment, and management of intelligent virtual agents powered by large language models and integrated AI technologies. Agents can be set up through a simple few-step process, and can orchestrate tools such as natural‐language-to‐SQL conversion, retrieval-augmented generation from enterprise knowledge bases, custom function or API calling, and even the ability to coordinate sub-agents. They support multi-turn conversational experiences with context retention across sessions, enabling agents to handle follow‐up questions and maintain personalised, consistent interactions. Built-in guardrails help enforce content moderation, prompt-injection prevention, and protection of PII (personally identifiable information), while optional human-in-the-loop workflows allow real-time supervision and escalation.Starting Price: $0.003 per 10,000 transactions -
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Golf
Golf
GolfMCP is an open source framework designed to streamline the creation and deployment of production-ready Model Context Protocol (MCP) servers, enabling organizations to build secure, scalable AI-agent infrastructure without worrying about boilerplate. It allows developers to define tools, prompts, and resources as simple Python files, after which Golf handles routing, authentication, telemetry, and observability, so you focus on logic, not plumbing. The platform supports enterprise authentication (JWT, OAuth Server, API key), automatic telemetry, and a file-based structure that eliminates decorators or manual schema wiring. With built-in utilities for LLM interactions, error logging, OpenTelemetry integration, and deployment tools (such as a CLI with golf init, golf build dev, golf run), Golf provides a full stack for agent-native services. Included also is the Golf Firewall, an enterprise-grade security layer for MCP servers that enforces token validation.Starting Price: Free -
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Agentspan
Agentspan
Agentspan is an open source server and SDK designed to bring durable execution to AI agents, transforming how they run in real-world environments beyond simple demos. It allows developers to define agents in Python and compile them into persistent, crash-safe workflows where execution state lives on the server rather than in the local process, ensuring that work is never lost if a system crashes or restarts. This architecture enables agents to pause, resume, and continue from the exact step they left off, even when reconnected from a different machine. It supports human-in-the-loop workflows, allowing agents to halt for approval and resume seamlessly through interfaces like Slack, web portals, or code. It also enables multi-agent pipelines, where several agents can be chained together in a single expression, with each step logged, observable, and recoverable across the entire workflow.Starting Price: Free -
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Microsoft Foundry Agent Service
Microsoft
Microsoft Foundry Agent Service is a secure, enterprise-ready platform for designing, deploying, and orchestrating AI agents at scale. It gives teams a streamlined interface and toolset to automate complex workflows using multi-agent systems. Developers can build with hosted agents, custom code, or agent frameworks while taking advantage of Azure’s reliability, scalability, and integrated observability. Built-in tools, enterprise connectors, and Model Context Protocol support make it easy for agents to interact with business systems and organizational data. Security, access governance, and compliance are embedded throughout, allowing companies to maintain full control while deploying intelligent automation across critical processes. With one-click deployment to Microsoft 365 experiences, Foundry Agent Service accelerates how organizations operationalize AI in everyday work. -
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OpenBox
OpenBox
OpenBox is an enterprise-grade AI governance platform designed to make AI systems transparent, auditable, and safe to deploy at scale by enforcing real-time oversight across every agent action and system interaction. It provides a unified governance layer that connects identity, policy, risk, and compliance into a single runtime system, eliminating the fragmentation typically found across multiple tools and enabling organizations to standardize control over AI behavior. It integrates directly into existing AI workflows through a lightweight SDK, requiring no architectural changes, and immediately delivers full visibility into how AI agents operate, make decisions, and interact with other systems. OpenBox monitors and evaluates every action before execution, applying policy enforcement and regulatory checks in real time to prevent non-compliant or risky behavior rather than reacting after errors occur.Starting Price: Free -
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Tenable AI Exposure
Tenable
Tenable AI Exposure is an agentless, enterprise-grade solution embedded within the Tenable One exposure management platform that provides visibility, context, and control over how teams use generative AI tools like ChatGPT Enterprise and Microsoft Copilot. It enables organizations to monitor user interactions with AI platforms, including who is using them, what data is involved, and how workflows are executed, while detecting and remediating risks such as misconfigurations, unsafe integrations, and exposure of sensitive information (like PII, PCI, or proprietary enterprise data). It also defends against prompt injections, jailbreak attempts, policy violations, and other advanced threats by enforcing security guardrails without disrupting operations. Supported across major AI platforms and deployed in minutes with no downtime, Tenable AI Exposure helps organizations govern AI usage as a core part of their cyber risk strategy. -
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Agent Builder
OpenAI
Agent Builder is part of OpenAI’s tooling for constructing agentic applications, systems that use large language models to perform multi-step tasks autonomously, with governance, tool integration, memory, orchestration, and observability baked in. The platform offers a composable set of primitives—models, tools, memory/state, guardrails, and workflow orchestration- that developers assemble into agents capable of deciding when to call a tool, when to act, and when to halt and hand off control. OpenAI provides a new Responses API that combines chat capabilities with built-in tool use, along with an Agents SDK (Python, JS/TS) that abstracts the control loop, supports guardrail enforcement (validations on inputs/outputs), handoffs between agents, session management, and tracing of agent executions. Agents can be augmented with built-in tools like web search, file search, or computer use, or custom function-calling tools. -
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Coform AI
Coform AI
Coform AI is a no-code agentic workflow platform for enterprises and mid-market companies, built to configure autonomous AI agents that orchestrate complex operations across systems and deliver real business value. It helps teams build workflows that do more than automate simple tasks, combining agent orchestration, ready-to-use templates, monitoring, governance, and deployment in one extensible layer. Coform AI lets users connect enterprise systems, configure workflows, and go live without code or machine learning expertise, with support for multimodal inputs such as text, images, documents, and audio. Its visual drag-and-drop builder, 40+ ready-to-deploy templates, LLM-agnostic architecture, API connectivity, human-in-the-loop controls, built-in guardrails, audit trails, and cost transparency help teams move from complex manual operations to secure automated workflows. -
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MintMCP
MintMCP
MintMCP is an enterprise-grade Model Context Protocol (MCP) gateway and governance platform that provides centralized security, observability, authentication, and compliance controls for AI tools and agents connecting to internal data, systems, and services. It lets organizations deploy, monitor, and govern MCP infrastructure at scale, giving real-time visibility into every MCP tool call, enforcing role-based access control and enterprise authentication, and maintaining complete audit trails that meet regulatory and compliance needs. Built as a proxy gateway, MintMCP consolidates connections from AI assistants like ChatGPT, Claude, Cursor, and others to MCP servers and tools, enabling unified monitoring, blocking of risky behavior, secure credential management, and fine-grained policy enforcement without requiring each tool to implement security individually. -
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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. -
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Prisma AIRS
Palo Alto Networks
Prisma AIRS AI Runtime Security is a purpose-built solution designed to protect LLM-powered applications, agents, models, and data during live operation, delivering real-time visibility, assurance, and governance across the entire AI lifecycle. It monitors AI behavior continuously, enforcing safeguards that detect and block threats traditional security tools cannot see, such as prompt injection, malicious code, toxic outputs, data leakage, and unsafe or unauthorized actions. It enables organizations to discover all AI assets in use, including shadow AI, and understand how agents, apps, and models interact across environments. It continuously assesses risk by testing AI systems, controlling permissions, and tracking security posture in real time, while integrating controls that prevent manipulation and exposure during runtime interactions. With adaptive protection, it defends against evolving and zero-day threats, using real-time analysis of inputs, outputs, and execution. -
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Microsoft Agent Framework
Microsoft
Microsoft Agent Framework is an open source SDK and runtime designed to help developers build, orchestrate, and deploy AI agents and multi-agent workflows using languages such as .NET and Python. It combines the simple agent abstractions of AutoGen with the enterprise-grade capabilities of Semantic Kernel, including session-based state management, type safety, middleware, telemetry, and broad model and embedding support, creating a unified platform for both experimentation and production use. It introduces graph-based workflows that give developers explicit control over how multiple agents interact, execute tasks, and coordinate complex processes, enabling structured orchestration across sequential, concurrent, or branching scenarios. It supports long-running and human-in-the-loop workflows through robust state management, allowing agents to maintain context, reason through multi-step problems, and operate continuously over time.Starting Price: Free -
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Barndoor.ai
Barndoor.ai
Barndoor is a data and access management layer designed to secure how artificial intelligence systems interact with enterprise data and infrastructure. It acts as a centralized control plane that governs AI agents and applications, allowing organizations to define policies, enforce access rules automatically, and maintain full visibility over how AI tools operate across business systems. Instead of relying only on traditional identity-based permissions, Barndoor introduces context-aware governance, enabling administrators to control what actions an AI agent can perform based on factors such as the user operating the agent, the system being accessed, the type of data involved, and the specific task being attempted. It evaluates every AI request in real time and enforces policies before an action is executed, preventing unsafe or unauthorized operations from reaching internal systems or modifying sensitive information.Starting Price: $500 per month -
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Token Security
Token Security
Token Security accelerates secure enterprise adoption of Agentic AI by discovering, managing, and governing every AI agent and non-human identity across the organization. From continuous visibility to least-privilege enforcement and lifecycle management, Token Security provides complete control over AI and machine identities, eliminating blind spots, reducing risk, and ensuring compliance at scale. -
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GraphBit
GraphBit
GraphBit is an enterprise-grade agentic AI framework built to run critical AI systems with security, governance, and predictable production performance. It combines a Rust execution core with a Python wrapper to give developers high-performance orchestration with the accessibility of Python, helping teams build reliable multi-agent workflows with minimal CPU and memory usage. GraphBit is designed around the layers that reduce risk, including interfaces, configuration, models, tools, actions, memory, orchestration, and observability. It integrates into existing apps, powers custom AI interfaces, and lets users interact through familiar workflows with controlled actions. Teams can define policies, rules, and guardrails centrally, while GraphBit enforces behavior without changing application code. It supports LLMs and multimodal models from multiple providers, allowing teams to swap models freely without breaking workflows or governance. -
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Webvar
Webvar
Webvar offers a suite of modular, AWS-integrated AI-powered tools that empower businesses to automate, personalize, and scale operations seamlessly. It enables the creation of AI agent applications in a low-code environment using rich business components and prebuilt applications, like Excel automation, document extraction, RAG‑based document generation, support‑desk FAQ creation, and meeting minute summarization, complete with security, tracking, and operational management features. Webvar automates knowledge-intensive workflows through multi-agent orchestration, human-in-the-loop controls, customizable process flows, and governance features for compliance and transparency. It transforms websites into interactive, conversational experiences by delivering instant, natural-language responses from embedded knowledge bases (including PDFs and videos), personalized calls to action, behavior-adaptive AI, secure CMS integration, and more. -
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Domino Enterprise AI Platform
Domino Data Lab
Domino is an enterprise AI platform designed to help organizations build, deploy, and scale AI systems that deliver real business outcomes. It provides end-to-end support for the AI lifecycle, from data science experimentation to production deployment and governance. The platform enables teams to access data, tools, and compute resources through a self-service environment with built-in IT controls. Domino supports the development of machine learning models, generative AI applications, and AI agents using preferred tools and frameworks. It also includes governance features such as model tracking, audit trails, and policy enforcement to ensure compliance and transparency. With hybrid and multi-cloud capabilities, organizations can run AI workloads across on-premises and cloud environments. Overall, Domino helps enterprises operationalize AI at scale while maintaining control, security, and efficiency. -
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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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Claude Managed Agents
Anthropic
Claude Managed Agents is a pre-built, configurable agent system from Anthropic designed to run long-running, asynchronous tasks on managed infrastructure without requiring developers to build their own agent loops. It acts as a complete “agent harness,” allowing developers to define goals while the system handles execution, orchestration, and state management behind the scenes. Unlike direct model prompting, which requires step-by-step interaction, Managed Agents are designed for tasks that unfold over time, such as research, automation, or multi-step workflows, where the agent can continue working independently after being started. It supports advanced capabilities such as multi-agent orchestration, where a primary agent can coordinate specialized sub-agents that operate in parallel with isolated contexts, improving both speed and output quality. -
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Dymium
Dymium
Dymium is the real-time data governance layer that ensures AI agents, applications, and analytics only access the precise information they’re permitted to see. Powered by its Ghost Layer architecture, Dymium evaluates every request as it happens, enforcing identity-, role-, and context-aware policies instantly. Sensitive data never needs to be copied, staged, or broadly exposed—access is governed directly at the source through GhostDB, GhostAPI, and GhostMCP. This enables teams to work at inference speed without creating compliance or security risk. Every interaction is logged and auditable in real time, supporting GDPR, HIPAA, and AI Act requirements by default. With Dymium, organizations unlock more data safely while eliminating over-permissioning, data duplication, and operational bottlenecks. -
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Flowise
Flowise AI
Flowise is an open-source platform that enables developers and teams to build AI agents and LLM-powered applications through a visual interface. The platform provides modular building blocks that allow users to create everything from simple chatbot workflows to complex multi-agent systems. With its drag-and-drop design environment, developers can rapidly prototype and deploy AI-powered applications without extensive coding. Flowise supports integrations with more than 100 large language models, embeddings, and vector databases. It also includes features such as human-in-the-loop workflows, observability tools, and execution tracing for monitoring agent behavior. Developers can extend applications through APIs, SDKs, and embedded chat interfaces using TypeScript or Python. By combining visual development tools with scalable infrastructure, Flowise simplifies the process of building and deploying production-ready AI agents.Starting Price: Free -
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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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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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Superagent
Superagent
Superagent is an open source AI safety and agent development platform that helps developers and organizations build, deploy, and protect AI-driven applications and assistants by embedding safety guardrails, runtime security, and compliance controls into agent workflows. It provides purpose-trained models and APIs (such as Guard, Verify, and Redact) that block prompt injections, malicious tool calls, data leakage, and unsafe outputs in real time, while red-teaming tests probe production systems for vulnerabilities and deliver findings with remediation guidance. Superagent integrates with existing AI systems at inference and tool-call layers to filter inputs/outputs, remove sensitive data like PII/PHI, enforce policy constraints, and stop unauthorized actions before they occur, offering unified observability, live trace logs, policy controls, and audit trails for security and engineering teams.Starting Price: Free -
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Lanai
Lanai
Lanai is an AI empowerment platform designed to help enterprises navigate the complexities of AI adoption by providing visibility into AI interactions, safeguarding sensitive data, and accelerating successful AI initiatives. The platform offers features such as AI visibility to discover prompt interactions across applications and teams, risk monitoring to track compliance and identify potential exposures, and progress tracking to measure adoption against strategic targets. Additionally, Lanai provides policy intelligence and guardrails to proactively safeguard sensitive data and ensure compliance, as well as in-context protection and guidance to help users route queries appropriately while maintaining document integrity. To enhance AI interactions, the platform includes smart prompt coaching for real-time guidance, personalized insights into top use cases and applications, and manager and user reports to accelerate enterprise usage and return on investment. -
41
AGAT Secure AI Platform
AGAT Software
AGAT Secure AI Platform is a security-first AI platform designed to provide enterprise-grade generative AI capabilities while ensuring full data protection and governance. It supports deployment either on-premises (including air-gapped environments) or in the cloud, enabling zero-data-exposure use cases and strong enterprise control. It comprises two main components: an AI Suite and an AI Firewall. The AI Suite offers a private-AI environment with modules including a knowledge assistant (answers from company data), data-analysis agent (natural-language analytics on spreadsheets and databases), smart search (meaning-based content discovery), AI code assistant (code completion, generation and error detection), and AI agents that can plan and execute tasks via file creation/modification and internet search. The AI Firewall acts as a real-time proxy for public AI services, enforcing risk-based policies, and more. -
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OneTrust Data & AI Governance
OneTrust
OneTrust's Data & AI Governance solution is an integrated platform designed to establish data and AI policies by consolidating insights from data, metadata, models, and risk assessments, providing comprehensive visibility into data products and AI development. It accelerates data-driven innovation by increasing the speed of approval for data products and AI systems. The solution enhances business continuity through continuous monitoring of data and AI systems, ensuring regulatory compliance, effective risk management, and reduced application downtime. It simplifies compliance by centrally defining, orchestrating, and natively enforcing data policies. Key features include consistent scanning, classification, and tagging of sensitive data to ensure the reliable application of data governance policies across structured and unstructured sources. It promotes responsible data usage by enforcing role-based access within a robust data governance framework. -
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AgentMonk
TechMonk
AgentMonk is an agentic AI customer engagement and automation platform that lets businesses build, deploy, and manage portfolios of AI agents that perceive, decide, and act across customer workflows to attract, interact, convert, and retain customers with personalized experiences powered by rich customer intelligence. It includes pre-built and custom AI agents for sales, support, reporting, segmentation, and more, plus a no-code agent builder and agentic workflows that automate complex tasks and unify customer data, segmentation, journey orchestration, and omnichannel engagement (Web, WhatsApp, Instagram, voice, email) in one full-stack toolkit. It provides enterprise-grade features such as strict guardrails, workflow observability, performance tracking, and security and compliance measures, enabling teams to test, observe, and optimize AI agent behavior and ensure high-quality interactions. -
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Alice
Alice
Alice (formerly ActiveFence) is a security, safety, and trust platform built to protect AI systems and online platforms in the GenAI era. Powered by the world’s largest adversarial intelligence dataset, Alice safeguards over 3 billion users across more than 120 languages. Its Rabbit Hole intelligence engine continuously analyzes billions of toxic and manipulative data samples to detect emerging threats in real time. The WonderSuite platform includes tools like WonderBuild for pre-launch stress testing, WonderFence for runtime guardrails, and WonderCheck for automated red-teaming. By defending against prompt injection, jailbreaks, governance gaps, and harmful AI behavior, Alice enables enterprises and foundation model labs to innovate with confidence. -
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Swifter
Swifter.io
Swifter governs AI across the full software development lifecycle. Unlike code-only assistants that deliver ~10% productivity gains, Swifter's spec-driven agents cover the entire SDLC — from business requirements through design, code generation, testing, and delivery — achieving 25-30% gains. Built for enterprise: full traceability from requirement to delivered code, audit trails, compliance enforcement, and consistent output across hundreds of developers. Supports both greenfield and legacy modernization. Partnered with Tech Mahindra (1,100+ enterprise clients). -
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ASAPP
ASAPP
ASAPP creates AI solutions that solve the toughest problems in customer service. With native AI at our core, our solutions get beyond basic automation to dramatically increase contact center capacity. At the center of our approach is GenerativeAgent®—a customer service AI agent that autonomously and safely resolves complex customer interactions over voice and chat. When unable to fully resolve on its own, it knows how and when to involve the right human agents. • Real-time AI-human collaboration with Human-in-the-Loop Agent (HILA) workflow • Full visibility into GenerativeAgent interactions, and Conversation Monitoring for QA at scale • Enterprise-Grade Guardrails & Data Protection • Safely test AI behavior in simulated environments to help you launch confidently Designed for enterprise contact centers, GenerativeAgent® is ideal for organizations handling high volumes of complex voice and chat interactions, including those in regulated industries. -
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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. -
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Pangea
Pangea
Pangea is the first Security Platform as a Service (SPaaS) delivering comprehensive security functionality which app developers can leverage with a simple call to Pangea’s APIs. The platform offers foundational security services such as Authentication, Authorization, Audit Logging, Secrets Management, Entitlement and Licensing. Other security functions include PII Redaction, Embargo, as well as File, IP, URL and Domain intelligence. Just as you would use AWS for compute, Twilio for communications, or Stripe for payments - Pangea provides security functions directly into your apps. Pangea unifies security for developers, delivering a single platform where API-first security services are streamlined and easy for any developer to deliver secure user experiences.Starting Price: $0 -
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WitnessAI
WitnessAI
WitnessAI is building the guardrails that make AI safe, productive, and usable. Our platform allows enterprises to innovate and enjoy the power of generative AI, without losing control, privacy, or security. Monitor and audit AI activity and risk with full visibility into applications and usage. Enforce consistent, acceptable use policy on data, topics, and usage. Secure your chatbots, data, and employee activity from misuse and attacks. WitnessAI is building a team of experts, engineers, and problem solvers from around the world. Our goal is to create an industry-leading AI security platform that unlocks AI’s potential while minimizing its risk. WitnessAI is a set of security microservices that can be deployed on-premise in your environment, in a cloud sandbox, or in your VPC, to ensure that your data and activity telemetry are separated from other customers. Unlike other AI governance solutions, WitnessAI provides regulatory segregation of your information. -
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Singulr
Singulr
Singulr is an enterprise AI governance and security platform that provides a unified control plane to help organizations discover, secure, and optimize AI adoption at scale. It addresses the growing gap between rapid AI usage and limited governance by delivering complete visibility into all AI systems in use, including homegrown applications, embedded AI, public tools, and shadow AI that often remains invisible to security teams. It continuously discovers and inventories AI assets across the organization, creating a real-time map of agents, models, and services, while assessing their risk through contextual analysis of data handling, model lineage, vulnerabilities, and compliance implications. Through its Singulr Pulse intelligence layer, it evaluates millions of AI systems, assigns risk scores, and supports automated onboarding workflows that reduce approval cycles from weeks to hours without compromising security.