Alternatives to Archestra
Compare Archestra alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Archestra in 2026. Compare features, ratings, user reviews, pricing, and more from Archestra 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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Servers.com by Nexcess
Nexcess
Servers.com by Nexcess provides hybrid bare metal cloud infrastructure designed to help businesses scale, customize, and manage their server environments from a unified platform. The company offers a range of solutions including Scalable Bare Metal, Enterprise Bare Metal, AI Compute, and Managed Kubernetes to support diverse workload requirements. Its global network of strategically located data centers helps organizations reduce latency and improve performance for users around the world. Servers.com serves industries such as gaming, fintech, adtech, streaming, SaaS, iGaming, and Web3, delivering reliable infrastructure tailored to each sector's needs. The platform combines dedicated bare metal resources with flexible deployment options to help businesses balance performance, scalability, and cost. With high-performance networking, resource isolation, and global connectivity, Servers.com enables organizations to support mission-critical applications and demanding workloads. -
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BAND
BAND.ai
BAND builds enterprise-grade interaction infrastructure for distributed AI agents. Its platform enables real-time, multi-peer collaboration across agents and humans, while providing a runtime control plane that enforces policy, authority boundaries, and visibility across heterogeneous systems. BAND supports developers, engineering teams, and enterprise platform leaders operating multi-agent ecosystems across internal systems, SaaS platforms, and partner environments. -
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StackAI
StackAI
StackAI is an enterprise AI automation platform to build end-to-end internal tools and processes with AI agents in a fully compliant and secure way. Designed for large, regulated organizations, it enables teams to automate complex workflows across operations, compliance, finance, IT, and support without heavy engineering. With StackAI you can: • Connect knowledge bases (SharePoint, Confluence, Notion, Google Drive, databases) with versioning, citations, and access controls • Publish AI agents as chat assistants, advanced forms, or APIs integrated into Slack, Teams, Salesforce, HubSpot, or ServiceNow • Govern usage with enterprise security: SSO (Okta, Azure AD, Google), RBAC, audit logs, PII masking, data residency, and cost controls • Route across OpenAI, Anthropic, Google, or local LLMs with guardrails, evaluations, and testing • Deploy in multi-tenant cloud, dedicated cloud, private cloud, or on-premise -
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CoreWeave
CoreWeave
CoreWeave is a cloud infrastructure provider specializing in GPU-based compute solutions tailored for AI workloads. The platform offers scalable, high-performance GPU clusters that optimize the training and inference of AI models, making it ideal for industries like machine learning, visual effects (VFX), and high-performance computing (HPC). CoreWeave provides flexible storage, networking, and managed services to support AI-driven businesses, with a focus on reliability, cost efficiency, and enterprise-grade security. The platform is used by AI labs, research organizations, and businesses to accelerate their AI innovations. -
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Vercel
Vercel
Vercel is an AI-powered cloud platform that helps developers build, deploy, and scale high-performance web experiences with speed and security. It provides a unified set of tools, templates, and infrastructure designed to streamline development workflows from idea to global deployment. With support for modern frameworks like Next.js, Svelte, Vite, and Nuxt, teams can ship fast, responsive applications without managing complex backend operations. Vercel’s AI Cloud includes an AI Gateway, SDKs, workflow automation tools, and fluid compute, enabling developers to integrate large language models and advanced AI features effortlessly. The platform emphasizes instant global distribution, enabling deployments to become available worldwide immediately after a git push. Backed by strong security and performance optimizations, Vercel helps companies deliver personalized, reliable digital experiences at massive scale. -
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Glean
Glean Technologies
Glean is an enterprise AI platform that connects company knowledge, systems, and business context to help employees find information and complete work more efficiently. The platform integrates with workplace tools such as Slack, Google Drive, Jira, Confluence, SharePoint, GitHub, Salesforce, and hundreds of other enterprise applications. Glean combines enterprise search, AI assistants, agents, and automation capabilities to deliver accurate, context-aware answers across an organization. Built with permission-aware access controls, it ensures employees only see information they are authorized to access. The platform helps organizations reduce information silos, improve productivity, and accelerate AI adoption across teams. Glean enables enterprises to transform fragmented knowledge into actionable insights and workflows. -
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Mistral AI Studio
Mistral AI
Mistral AI Studio is a unified builder-platform that enables organizations and development teams to design, customize, deploy, and manage advanced AI agents, models, and workflows from proof-of-concept through to production. The platform offers reusable blocks, including agents, tools, connectors, guardrails, datasets, workflows, and evaluations, combined with observability and telemetry capabilities so you can track agent performance, trace root causes, and govern production AI operations with visibility. With modules like Agent Runtime to make multi-step AI behaviors repeatable and shareable, AI Registry to catalogue and manage model assets, and Data & Tool Connections for seamless integration with enterprise systems, Studio supports everything from fine-tuning open source models to embedding them in your infrastructure and rolling out enterprise-grade AI solutions.Starting Price: $14.99 per month -
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nebulaONE
Cloudforce
nebulaONE is a secure, private generative AI gateway built on Microsoft Azure that lets organizations harness leading AI models and build custom AI agents without code, all within their own cloud environment. It aggregates top AI models from providers like OpenAI, Anthropic, Meta, and others into a unified interface so users can safely ingest sensitive data, generate organization-aligned content, and automate routine tasks while keeping data fully under institutional control. Designed to replace insecure public AI tools, nebulaONE emphasizes enterprise-grade security, compliance with regulatory standards such as HIPAA, FERPA, and GDPR, and seamless integration with existing systems. It supports custom AI chatbot creation, no-code development of personalized assistants, and rapid prototyping of new generative use cases, helping educational, healthcare, and enterprise teams accelerate innovation, streamline operations, and enhance productivity. -
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OpenServ
OpenServ
OpenServ is an applied AI research lab building the infrastructure for autonomous agents. Our next-generation multi-agent orchestration platform combines proprietary AI frameworks and protocols with supreme user simplicity. Automate complex tasks across Web3, DeFAI, and Web2. We’re accelerating the agentic field through numerous academic partnerships, in-house research, and community-focused research initiatives. See the whitepaper detailing the architecture of OpenServ. Seamless developer experience and agent development with our SDK. Receive early access to our platform, white-glove support, and an opportunity to shape the future. -
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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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Daytona
Daytona
Daytona is a cloud-native development runtime that enables developers and AI agents to instantly create, run, and manage isolated sandboxes for any codebase. Each sandbox runs inside a secure microVM with full Linux compatibility, networking, and persistent storage. Daytona provides SDKs in Python and TypeScript, allowing applications to programmatically execute code, run processes, upload files, or spin up environments dynamically. Teams use Daytona to replace complex local setups with reproducible cloud sandboxes that can be started in seconds and accessed through preview URLs, SSH, or APIs. It’s built for automation, observability, and scalability, powering everything from personal development environments to enterprise-grade agent runtimes. -
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NVIDIA NIM
NVIDIA
Explore the latest optimized AI models, connect AI agents to data with NVIDIA NeMo, and deploy anywhere with NVIDIA NIM microservices. NVIDIA NIM is a set of easy-to-use inference microservices that facilitate the deployment of foundation models across any cloud or data center, ensuring data security and streamlined AI integration. Additionally, NVIDIA AI provides access to the Deep Learning Institute (DLI), offering technical training to gain in-demand skills, hands-on experience, and expert knowledge in AI, data science, and accelerated computing. AI models generate responses and outputs based on complex algorithms and machine learning techniques, and those responses or outputs may be inaccurate, harmful, biased, or indecent. By testing this model, you assume the risk of any harm caused by any response or output of the model. Please do not upload any confidential information or personal data unless expressly permitted. Your use is logged for security purposes. -
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Solid
Codapt lnc
Solid is the operating system for always-on AI agents. This AI agent infrastructure runs agent software, allocates resources, connects agents to external systems, and applies shared controls. It provides a persistent runtime, memory, approved computers, identities, accounts, credentials, phone numbers, system access, and controlled spending so work can continue after a chat closes. Agents can use APIs, MCP, code, browsers, desktops, phones, and software interfaces, subject to customer permissions and system policies. Solid can build and test a missing integration, app, API, dashboard, or report needed to finish the job. Customer-set budgets and approvals govern provisioning and purchases. Solid provides agent orchestration plus visibility into available activity, code, resource state, costs, logs, and exceptions, with policies routing sensitive, unclear, or out-of-policy decisions to people. Builders can embed a Solid-powered agent through its API.Starting Price: $40/month/user -
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Modular
Modular
Modular is a unified AI inference platform designed to run models efficiently across diverse hardware environments. It enables developers to deploy and scale AI workloads on GPUs, CPUs, and ASICs using a single, integrated stack. The platform optimizes performance from low-level GPU kernels to high-level API endpoints. Modular supports both managed cloud deployments and self-hosted environments, offering flexibility for different use cases. It allows users to run open-source or custom models with high performance and cost efficiency. With features like hardware portability and dynamic scaling, it reduces vendor lock-in and infrastructure complexity. By combining performance optimization and deployment simplicity, Modular helps teams build and run AI applications at scale. -
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Movestax
Movestax
Movestax revolutionizes cloud infrastructure with a serverless-first platform for builders. From app deployment to serverless functions, databases, and authentication, Movestax helps you build, scale, and automate without the complexity of traditional cloud providers. Whether you’re just starting out or scaling fast, Movestax offers the services you need to grow. Deploy frontend and backend applications instantly, with integrated CI/CD. Fully managed, scalable PostgreSQL, MySQL, MongoDB, and Redis that just work. Create sophisticated workflows and integrations directly within your cloud infrastructure. Run scalable serverless functions, automating tasks without managing servers. Simplify user management with Movestax’s built-in authentication system. Access pre-built APIs and foster community collaboration to accelerate development. Store and retrieve files and backups with secure, scalable object storage.Starting Price: $20/month -
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NVIDIA AI Enterprise
NVIDIA
The software layer of the NVIDIA AI platform, NVIDIA AI Enterprise accelerates the data science pipeline and streamlines development and deployment of production AI including generative AI, computer vision, speech AI and more. With over 50 frameworks, pretrained models and development tools, NVIDIA AI Enterprise is designed to accelerate enterprises to the leading edge of AI, while also simplifying AI to make it accessible to every enterprise. The adoption of artificial intelligence and machine learning has gone mainstream, and is core to nearly every company’s competitive strategy. One of the toughest challenges for enterprises is the struggle with siloed infrastructure across the cloud and on-premises data centers. AI requires their environments to be managed as a common platform, instead of islands of compute. -
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Phinite
Phinite AI
Phinite provides shared infrastructure for building, deploying, and governing AI agents across orchestration, security, observability, lifecycle management, and environment promotion — so engineering teams don't rebuild these layers for every new agent use case. Core capabilities: Orchestration for multi-agent systems (agent-to-agent, nested calls) Deep session-level observability: execution timelines, decision variables, tool calls, latency/cost tracking Private Agent Registry for skill discoverability Eval suite for accuracy/safety benchmarking Dev-to-Production workflow with environment promotion Kubernetes-native deployment, VPC-internal deployability SOC 2 Type 2 complianceStarting Price: $20/month -
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StateFabric
J Gregory Technology Ltd.
StateFabric a small infrastructure layer for AI agents that need more context than chat history. Once an agent starts using tools, running for longer sessions between restarts, ‘keep the messages in memory’ doesn’t really cut it. You need to know: - what happened? - what state changed? - which tools were called? - what context should go into the next model turn? StateFabric stores an append-only event log for agent runs, then derives working context from it. Today it supports: - Durable sessions and event storage - User/model/tool event timelines - Reconstructed session state from stored events - Compacted model-facing context - A dashboard for inspecting sessions, raw payloads, compaction artefacts, and usage - Google ADK integration via @statefabric/adk - Direct Node/REST usage via @statefabric/client (for custom runtimes)Starting Price: £10/month -
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IBM watsonx.ai
IBM
Now available—a next generation enterprise studio for AI builders to train, validate, tune and deploy AI models IBM® watsonx.ai™ AI studio is part of the IBM watsonx™ AI and data platform, bringing together new generative AI (gen AI) capabilities powered by foundation models and traditional machine learning (ML) into a powerful studio spanning the AI lifecycle. Tune and guide models with your enterprise data to meet your needs with easy-to-use tools for building and refining performant prompts. With watsonx.ai, you can build AI applications in a fraction of the time and with a fraction of the data. Watsonx.ai offers: End-to-end AI governance: Enterprises can scale and accelerate the impact of AI with trusted data across the business, using data wherever it resides. Hybrid, multi-cloud deployments: IBM provides the flexibility to integrate and deploy your AI workloads into your hybrid-cloud stack of choice. -
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Composio
Composio
Composio is a platform that enables AI agents to seamlessly interact with external tools and applications. It provides pre-built integrations with over 1,000 apps, allowing agents to execute tasks across services like Slack, Gmail, GitHub, and more. The platform handles complex processes such as authentication, tool execution, and sandboxed environments automatically. Composio supports dynamic tool selection, ensuring agents use the right tools based on user intent. It also enables secure, parallel execution of workflows in isolated environments. Developers can build agents that move beyond conversation to perform real-world actions. By simplifying integrations and execution, Composio helps turn AI agents into powerful, task-performing systems.Starting Price: $49 per month -
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Agent Computer
Agent Computer
AgentComputer is a cloud-based infrastructure platform designed specifically for running AI agents in isolated, fully functional virtual environments. It provides “cloud computers” in the form of lightweight Ubuntu-based sandboxes that can be provisioned in under a second, allowing developers to quickly spin up, access, and manage environments through a command-line interface. These environments include persistent storage, meaning any installed tools, files, or configurations remain intact across restarts, enabling continuous and stateful workflows. It is built around an agent-first architecture, where AI agents can directly execute tasks within these environments via SSH, eliminating friction between instruction and execution. It includes an integrated AI harness that supports agents such as Claude, Codex, and other coding assistants, enabling collaborative, multi-agent workflows within the same system.Starting Price: $20 per month -
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Molted
Molted.net
Molted is a managed operating environment for autonomous AI agents. It lets teams deploy, host, monitor, recover, and scale OpenClaw-based agents without building their own cloud, DevOps, integration, and recovery stack. Molted provides agent-ready runtimes with persistent workspaces, browser automation, 1,000+ app integrations, dedicated email and voice per agent, monitoring, automatic recovery, and lifecycle management. Agents can use tools, access websites without APIs, communicate through email/voice/SMS, and keep working continuously. It is built for AI agencies, SaaS builders, OpenClaw consultants, and teams running agent fleets for customer-facing or internal workflows. Molted supports multi-agent management, versioned filesystems, restore points, REST API control, and cloud, on-premise, or sovereign deployments. Molted is not generic hosting; it is the run layer for production AI agents. -
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HyperLake
CerebrixOS
HyperLake is built for organizations preparing for a world where AI agents become primary users of infrastructure. Today, most enterprise infrastructure was designed for humans, dashboards, applications, and scheduled pipelines. AI agents behave differently. They query data, call tools, trigger workflows, generate artifacts, operate across systems, and need continuous access to governed compute, data, policies, and services. HyperLake provides the command center to deploy, manage, run, secure, and govern that agentic infrastructure. The first product wedge is Agentic Data Cloud Infrastructure: open-stack data, analytics, semantic, workflow, and agent infrastructure deployed inside the customer’s own VPC, private cloud, or on-prem environment. -
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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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Subconscious
Subconscious
Subconscious is a developer-first platform designed to build, deploy, and scale production-ready AI agents by handling the hardest parts of agent architecture automatically. It provides a complete agent system that manages context, orchestrates tools, and enables long-horizon reasoning, allowing developers to focus on defining goals and capabilities rather than stitching together complex infrastructure. It introduces a unified inference engine composed of a co-designed model and runtime that decomposes complex tasks, generates workflows dynamically, and executes multi-step reasoning without manual context engineering or multi-agent orchestration. Unlike traditional approaches that rely on chaining APIs and frameworks, Subconscious enables agents to take in goals and tools, then autonomously plan, reason, and act with minimal human intervention, effectively creating systems that can “get the job done” on their own.Starting Price: $2 per 1M tokens -
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Contextually
Contextually
Contextually is an enterprise AI platform designed to help organizations build and deploy production-ready AI agents that can reason over complex, domain-specific data using advanced context engineering. It provides a unified context layer that connects AI models to large volumes of enterprise knowledge, including documents, databases, and multimodal data, enabling agents to deliver accurate, grounded, and relevant outputs. It allows users to define and configure agents quickly through prebuilt templates, natural language prompts, or a visual drag-and-drop interface, supporting both dynamic agents and structured workflows tailored to specific use cases. It includes tools for ingesting and processing massive datasets from multiple sources, transforming unstructured and structured information into retrievable knowledge with intelligent parsing, metadata generation, and continuous updates. -
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Sprites
Fly.io
Sprites by Fly.io is a stateful sandbox platform for running arbitrary code in hardware-isolated Linux environments. A Sprite acts like a persistent Linux computer where developers can execute AI agents, user-uploaded binaries, scripts, applications, and other workloads. The platform supports checkpoint and restore, allowing environments to persist and resume instead of starting from scratch each time. Sprites use fast directly attached NVMe storage that continuously syncs to durable external object storage. Developers can create, manage, execute commands, and connect to Sprite consoles through the CLI, REST API, JavaScript, Go, Elixir, and Python tooling. Built for developers and AI infrastructure teams, Sprites gives applications a simple place to safely run code with persistence, sandboxing, usage-based pricing, and scalable execution.Starting Price: $30 per month -
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CrewAI
CrewAI
CrewAI is a leading multi-agent platform that enables organizations to streamline workflows across various industries by building and deploying automated processes using any Large Language Model (LLM) and cloud platform. It offers a comprehensive suite of tools, including a framework and UI Studio, to facilitate the rapid development of multi-agent automations, catering to both coding professionals and those seeking no-code solutions. The platform supports flexible deployment options, allowing users to move their created 'crews'—teams of AI agents—to production with confidence, utilizing powerful tools for different deployment types and autogenerated user interfaces. CrewAI also provides robust monitoring capabilities, enabling users to track the performance and progress of their AI agents on both simple and complex tasks. Additionally, it offers testing and training tools to continually enhance the efficiency and quality of outcomes produced by these AI agents. -
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E2B
E2B
E2B is an open source runtime designed to securely execute AI-generated code within isolated cloud sandboxes. It enables developers to integrate code interpretation capabilities into their AI applications and agents, facilitating the execution of dynamic code snippets in a controlled environment. The platform supports multiple programming languages, including Python and JavaScript, and offers SDKs for seamless integration. E2B utilizes Firecracker microVMs to ensure robust security and isolation for code execution. Developers can deploy E2B within their own infrastructure or utilize the provided cloud service. The platform is designed to be LLM-agnostic, allowing compatibility with various large language models such as OpenAI, Llama, Anthropic, and Mistral. E2B's features include rapid sandbox initialization, customizable execution environments, and support for long-running sessions up to 24 hours.Starting Price: Free -
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TinyFish
TinyFish
TinyFish is an enterprise AI platform that builds and operates “enterprise web agents” designed to execute complex workflows directly across the web at massive scale. Instead of relying on APIs or manual processes, these agents interact with websites the way humans do, navigating interfaces, extracting data, and completing multi-step tasks across thousands of platforms simultaneously. It is built to handle the growing complexity of the modern web, where valuable data is often fragmented, hidden behind logins, or constantly changing, making traditional automation unreliable. TinyFish agents are powered by infrastructure that can learn, adapt, and scale, enabling them to maintain accuracy and reliability even as web environments evolve. It is designed around outcome-driven workflows rather than isolated tasks, meaning agents can execute entire processes such as pricing intelligence, inventory tracking, or market monitoring from start to finish.Starting Price: $1.50 per month -
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VideoDB
VideoDB
VideoDB is a modern backend for AI agents, giving them the ability to see, understand, and act on video and audio in real time. It sits between raw media streams and agent reasoning systems, turning continuous streams into structured, searchable context with playable evidence. Our unified See->Understand->Act workflow replaces a fragmented stack of FFmpeg, vector DBs, and transcription tools with a single, programmable media layer. Featuring "Indexes-as-code," we allow developers to extract meaning from spoken words and visual scenes with near-zero latency. VideoDB supports Python and Node.js SDKs and integrates seamlessly with Claude, Cursor, and Codex via the Model Context Protocol (MCP). Built on a streaming-first architecture, it ensures your agents observe the world continuously rather than just reading static files. Whether you are building an AI meeting copilot, camera intelligence, or automated media editing, VideoDB provides the perception layer you need.Starting Price: $20/month -
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LangChain
LangChain
LangChain is a powerful, composable framework designed for building, running, and managing applications powered by large language models (LLMs). It offers an array of tools for creating context-aware, reasoning applications, allowing businesses to leverage their own data and APIs to enhance functionality. LangChain’s suite includes LangGraph for orchestrating agent-driven workflows, and LangSmith for agent observability and performance management. Whether you're building prototypes or scaling full applications, LangChain offers the flexibility and tools needed to optimize the LLM lifecycle, with seamless integrations and fault-tolerant scalability. -
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Kosmoy
Kosmoy
Kosmoy is the AI management platform and AI control layer for complex or regulated enterprises. It puts four layers of control around every AI a company runs. An inventory registers every AI system, model, agent and MCP server, with an owner and a risk tier. Monitoring watches every call — cost, usage, behaviour. The AI Gateway enforces guardrails, budgets and access on every LLM, MCP and agent-to-agent call. Action Capsules sandbox autonomous agents inside your own Kubernetes, with just-in-time credentials and a kill switch. One platform produces the evidence the EU AI Act, ISO/IEC 42001 and NIST AI RMF ask for. In production at Banca d'Italia and Leonardo. Headquartered in Milan. -
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HUMAIN ONE
HUMAIN
HUMAIN ONE is an enterprise platform that runs business operations through a single conversational interface, using AI agents to automate repetitive tasks across HR, payroll, project management, research, and document creation. It connects to existing enterprise systems via four layers: cloud infrastructure, a system of record integrating ERP/HR/finance systems, agentic orchestration that coordinates the agents, and an experience layer for chat, meetings, tasks, and search. The core suite includes secure cloud hosting in KSA with SSO and compliance controls, pre configured automation, and a central admin console for user management and analytics. An Agent Marketplace offers additional HUMAIN-vetted enterprise agents, and the platform integrates with HUMAIN's Horizon Pro hardware. It is offered by a PIF company. -
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Novita AI
Novita AI
Novita AI is an AI-native cloud platform that enables developers and organizations to build, deploy, and scale AI applications using a unified infrastructure stack. The platform combines serverless Model APIs, secure Agent Sandbox environments, and high-performance GPU Cloud services, allowing teams to access over 200 AI models, run autonomous agents, and deploy GPU-powered workloads from a single platform. With support for text, image, audio, video, and vision models, Novita AI eliminates the complexity of managing multiple providers and infrastructure layers. Its scalable architecture, low-latency performance, and flexible deployment options help builders move from experimentation to production quickly and efficiently. -
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Zerve AI
Zerve AI
Zerve is the agentic data workspace designed for anyone who works with data, from solo analysts, data scientists, business users and teams alike. Zerve brings together exploration, advanced analysis, collaboration, and production deployment into a single AI-native environment, so that important data work doesn’t stall, break, or disappear. Zerve’s AI agents understand the full context of a project and actively help plan, build, debug, and iterate across multi-step analyses. Agents assist with tasks like cleaning and transforming data, identifying issues, and testing approaches, reducing the manual effort that slows teams down. This means working at a higher level of abstraction without being slowed by setup or syntax. Zerve can be used as SaaS, self-hosted, or even on-premise for highly regulated environments. Zerve is used by data professionals in companies such as BBC, QVC, Dun & Bradstreet, Airbus, and many others.Starting Price: $0 -
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NeevCloud
NeevCloud
NeevCloud is a full-stack AI SuperCloud for building, training, fine-tuning, and deploying AI models at scale. Access GPU AI Services powered by NVIDIA H100, B200, and GB200 NVL72; a pay-per-token Model API supporting Llama 3, Mixtral, Qwen, and Stable Diffusion; and Agentic Studio for building, testing, and shipping AI agents with built-in governance and observability. The platform is Kubernetes-native, OpenAI-compatible, and designed for zero lock-in with no egress fees and transparent pricing. Cloud Servers, Snapshots, Load Balancers, and Orchestration round out the IaaS layer. S3-compatible object storage is available through Zata.ai. NeevCloud owns every infrastructure layer, from GPU clusters to AI orchestration software, delivering strong price-to-performance, data sovereignty, and instant GPU access with no waiting lists. Built for AI startups, ML engineers, data scientists, enterprises, and research institutions scaling AI workloads.Starting Price: $1.69/GPU/hour -
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Inquir Compute
Inquir Compute
Inquir Compute is a cloud platform for deploying and running server-side code without managing servers, Kubernetes, CI/CD, or DevOps infrastructure. It lets developers create functions, APIs, webhooks, cron jobs, background tasks, and multi-step workflows directly from a browser-based editor or API. Users can write code in Node.js, Python, or Go, configure runtime settings such as memory, CPU, timeout, environment variables, and network access, then deploy and invoke it in isolated containers. Functions can be exposed through an API Gateway, triggered manually, scheduled, or combined into pipelines where one step passes data to another. The platform is designed for long-running workloads such as AI agents, scraping, document processing, data enrichment, integrations, and automation. It includes logs, traces, invocation history, error tracking, route management, API keys, tenant isolation, and observability tools. -
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Core42
Core42
Core42 delivers sovereign AI and cloud solutions that help individuals, enterprises, and nations unlock the full potential of AI through secure, scalable, and performance-driven infrastructure. Its AI Cloud is a full-stack platform built for the entire intelligence lifecycle, from data movement and training to optimization, fine-tuning, deployment, governance, and production inference. It gives AI builders access to leading accelerators, integrated tools, orchestration, high-performance storage, and expert support so they can train, fine-tune, and deploy agentic and inference workloads faster. Core42 AI Cloud supports GenAI services, model hosting and inference, AI operations, and infrastructure as a service, enabling teams to build and scale next-generation AI applications with confidence and speed. Its GenAI services help accelerate innovation with agents, retrieval-augmented generation, guardrails, and fine-tuning. -
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Origon
Origon
Origon is a full-stack AI agent development and operations platform engineered as a unified “Agentic Operating System” that supports the entire lifecycle of autonomous AI systems from design to deployment and observability. It offers an intuitive Studio for visual, drag-and-drop agent creation and configuration, Sessions for real-time observation, behavior tracing, and debugging, and Insights dashboards for performance analytics, reliability tracking, and outcome measurement in one place. Origon runs natively on dedicated infrastructure optimized for low-latency performance and security, avoiding dependency on external cloud APIs, and includes a built-in knowledge engine that connects agents to contextual memory and domain data so responses stay grounded and consistent. It supports hundreds of connectors and APIs, including chat, voice, WhatsApp, SMS, email, and telephony, and lets agents execute code and interact with real systems with a single click.Starting Price: $200 per month -
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Xano
Xano
Xano is the unified backend for building and deploying production-grade apps and AI agents. Instead of stitching together databases, runtimes, APIs, auth, integrations, and monitoring—plus a separate orchestrator for agents—Xano provides everything in one secure, scalable platform. Teams can model data, compose logic, expose secure APIs, and integrate with any system, while AI agents can use data and APIs, call external tools, and run server-side with observability and guardrails. Build visually, with AI, or in code from your IDE, then deploy with one click and scale automatically. Xano works with any frontend, including Lovable, Bolt, WeWeb, Retool, and custom code, so you don’t need to rebuild as you grow. Compliance, reliability, and scaling are built-in, enabling teams to focus on the business logic that makes their software unique.Starting Price: Free -
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LobeHub
LobeHub
LobeHub is an open-source AI platform that lets users create, customize, and manage AI agents and assistant teams that grow with their needs, enabling collaboration across workflows and projects with shared context and adaptive behavior. It supports multiple AI models and providers through an intuitive interface, allowing seamless switching and conversations across models while integrating knowledge bases, plugins, and task-specific skills for enhanced productivity. Users can deploy private chat applications and assistants, connect agents to real-world tools and data sources, and organize work into projects, schedules, and workspaces with coordinated agents executing tasks in parallel. LobeHub emphasizes long-term co-evolution between humans and agents through personal memory and continual learning, offering extensible frameworks for multimodal interaction and community contributions, such as an agent marketplace and plugin ecosystem.Starting Price: $9.90 per month -
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LlamaIndex
LlamaIndex
LlamaIndex is a “data framework” to help you build LLM apps. Connect semi-structured data from API's like Slack, Salesforce, Notion, etc. LlamaIndex is a simple, flexible data framework for connecting custom data sources to large language models. LlamaIndex provides the key tools to augment your LLM applications with data. Connect your existing data sources and data formats (API's, PDF's, documents, SQL, etc.) to use with a large language model application. Store and index your data for different use cases. Integrate with downstream vector store and database providers. LlamaIndex provides a query interface that accepts any input prompt over your data and returns a knowledge-augmented response. Connect unstructured sources such as documents, raw text files, PDF's, videos, images, etc. Easily integrate structured data sources from Excel, SQL, etc. Provides ways to structure your data (indices, graphs) so that this data can be easily used with LLMs. -
45
OrgLogic
Troopr Labs Inc.
OrgLogic is the AI workspace for enterprise. Instead of every team buying its own AI tool that starts from zero on your company, OrgLogic gives them all one governed Company Brain. It connects Salesforce, Jira, Confluence, Slack, Google Workspace, SharePoint, ServiceNow, GitHub and more, so every answer is grounded in what your organization actually knows, with sources cited and existing permissions enforced. Every major model is available in one place. AI agents take action in your systems, scoped per agent and fully audited.Starting Price: $8 -
46
NVIDIA Triton™ inference server delivers fast and scalable AI in production. Open-source inference serving software, Triton inference server streamlines AI inference by enabling teams deploy trained AI models from any framework (TensorFlow, NVIDIA TensorRT®, PyTorch, ONNX, XGBoost, Python, custom and more on any GPU- or CPU-based infrastructure (cloud, data center, or edge). Triton runs models concurrently on GPUs to maximize throughput and utilization, supports x86 and ARM CPU-based inferencing, and offers features like dynamic batching, model analyzer, model ensemble, and audio streaming. Triton helps developers deliver high-performance inference aTriton integrates with Kubernetes for orchestration and scaling, exports Prometheus metrics for monitoring, supports live model updates, and can be used in all major public cloud machine learning (ML) and managed Kubernetes platforms. Triton helps standardize model deployment in production.Starting Price: Free
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47
Zooid
Zooid
Zooid is an open-source team chat app built on the Matrix protocol, offering channels, threads, direct messages, and spaces. It can be self-hosted so conversation history and data remain on infrastructure the operator controls. The application is designed so that AI agents can take part in the same rooms as human team members. Agents that support the Agent Client Protocol (ACP), such as Claude Code, Codex, and opencode, can be added to a room, where their actions render as structured interface elements rather than plain text: permission requests appear as approval cards, tool calls as structured data, task plans as checklists, and sub-agent hierarchies as an expandable tree. Each agent runs in its own sandboxed container. Zooid is released under the MIT license and is self-hostable end to end.Starting Price: Free (open source) -
48
Quali
Quali
Quali’s CloudShell platform is a cloud automation and infrastructure orchestration product that lets organizations deliver fully functional sandboxes and complex IT environments across on-premises, hybrid, and public cloud infrastructure by eliminating manual provisioning and resource conflicts and boosting productivity with self-service access and reusable components. CloudShell enables users to model infrastructure and application environments using a drag-and-drop blueprint editor to define resources from inventory, set up network connectivity, and automate deployment and teardown workflows, greatly reducing configuration time and standardizing environment delivery. It offers a web-based self-service portal and catalog with inventory management, reservation and scheduling, conflict resolution, role-based access control with directory and SSO integration, and distributed execution engines for high-performance parallel sandbox deployment.Starting Price: Free -
49
Graft
Graft AI
Graft AI is a platform that makes legacy software usable by AI agents without requiring companies to replace existing systems. The platform turns real user interfaces into stable, governed tools that agents can call reliably. Graft observes workflows across ERPs, mainframes, desktop apps, web portals, virtual desktops, internal tools, files, and exports. It maps screens, inputs, transitions, rules, side effects, and application states to create typed tool contracts with policies, approvals, recovery logic, and conformance tests. Every action is auditable, permission-aware, and verified against the source system so agents can execute work safely and consistently. Built for enterprises with hard-to-replace systems, Graft AI helps organizations connect agent workflows to existing software while keeping data controlled, governed, and traceable. -
50
Rezolve.ai
Rezolve.ai
Rezolve.ai is an Agentic AI platform built for enterprise IT, HR, and FinOps operations. The solution combines multi-agent orchestration, AI-powered enterprise search, workflow automation, and autonomous support capabilities to help organizations modernize employee service operations. Rezolve.ai enables AI agents to resolve repetitive service requests, automate workflows, search enterprise knowledge bases, and interact with backend systems across Microsoft Teams, Slack, voice, chat, email, and mobile channels. The platform integrates with ServiceNow, Jira Service Management, Freshservice, Workday, SharePoint, Confluence, and other enterprise systems. Key features include: - Autonomous ticket handling - AI voice support - Enterprise AI search with citations - Conversational workflow automation - AI Ops automation - No-code AI agent deployment - Enterprise-grade governance and compliance Rezolve.ai helps enterprises reduce support costs and improve response times.
