Alternatives to Salt AI
Compare Salt AI alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Salt AI in 2026. Compare features, ratings, user reviews, pricing, and more from Salt AI competitors and alternatives in order to make an informed decision for your business.
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1
Vertex AI
Google
Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, and Spark. You can use BigQuery ML to create and execute machine learning models in BigQuery using standard SQL queries on existing business intelligence tools and spreadsheets, or you can export datasets from BigQuery directly into Vertex AI Workbench and run your models from there. Use Vertex Data Labeling to generate highly accurate labels for your data collection. Vertex AI Agent Builder enables developers to create and deploy enterprise-grade generative AI applications. It offers both no-code and code-first approaches, allowing users to build AI agents using natural language instructions or by leveraging frameworks like LangChain and LlamaIndex. -
2
RunPod
RunPod
RunPod offers a cloud-based platform designed for running AI workloads, focusing on providing scalable, on-demand GPU resources to accelerate machine learning (ML) model training and inference. With its diverse selection of powerful GPUs like the NVIDIA A100, RTX 3090, and H100, RunPod supports a wide range of AI applications, from deep learning to data processing. The platform is designed to minimize startup time, providing near-instant access to GPU pods, and ensures scalability with autoscaling capabilities for real-time AI model deployment. RunPod also offers serverless functionality, job queuing, and real-time analytics, making it an ideal solution for businesses needing flexible, cost-effective GPU resources without the hassle of managing infrastructure. -
3
Pinecone
Pinecone
The AI Knowledge Platform. The Pinecone Database, Inference, and Assistant make building high-performance vector search apps easy. Developer-friendly, fully managed, and easily scalable without infrastructure hassles. Once you have vector embeddings, manage and search through them in Pinecone to power semantic search, recommenders, and other applications that rely on relevant information retrieval. Ultra-low query latency, even with billions of items. Give users a great experience. Live index updates when you add, edit, or delete data. Your data is ready right away. Combine vector search with metadata filters for more relevant and faster results. Launch, use, and scale your vector search service with our easy API, without worrying about infrastructure or algorithms. We'll keep it running smoothly and securely. -
4
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. -
5
Amazon SageMaker
Amazon
Amazon SageMaker is an advanced machine learning service that provides an integrated environment for building, training, and deploying machine learning (ML) models. It combines tools for model development, data processing, and AI capabilities in a unified studio, enabling users to collaborate and work faster. SageMaker supports various data sources, such as Amazon S3 data lakes and Amazon Redshift data warehouses, while ensuring enterprise security and governance through its built-in features. The service also offers tools for generative AI applications, making it easier for users to customize and scale AI use cases. SageMaker’s architecture simplifies the AI lifecycle, from data discovery to model deployment, providing a seamless experience for developers. -
6
RunComfy
RunComfy
Our cloud-based environment that automatically sets up your ComfyUI workflow. Each workflow fully equipped with all the essential custom nodes and models, ensuring a hassle-free beginning. Unlock the full potential of your creative projects with ComfyUI Cloud's high-performance GPUs. Benefit from faster processing speeds at market-leading rates, ensuring both time and cost savings. Launch ComfyUI cloud instantly, no installation required, for a seamless start with a fully prepared environment, ready for immediate use. Access ready-to-use ComfyUI workflows with pre-set models and nodes, avoiding configuration hassles in the cloud. Experience rapid results with our powerful GPUs, boosting productivity and efficiency in creative projects. -
7
dstack
dstack
dstack is an orchestration layer designed for modern ML teams, providing a unified control plane for development, training, and inference on GPUs across cloud, Kubernetes, or on-prem environments. By simplifying cluster management and workload scheduling, it eliminates the complexity of Helm charts and Kubernetes operators. The platform supports both cloud-native and on-prem clusters, with quick connections via Kubernetes or SSH fleets. Developers can spin up containerized environments that link directly to their IDEs, streamlining the machine learning workflow from prototyping to deployment. dstack also enables seamless scaling from single-node experiments to distributed training while optimizing GPU usage and costs. With secure, auto-scaling endpoints compatible with OpenAI standards, it empowers teams to deploy models quickly and reliably. -
8
Monster API
Monster API
Effortlessly access powerful generative AI models with our auto-scaling APIs, zero management required. Generative AI models like stable diffusion, pix2pix and dreambooth are now an API call away. Build applications on top of such generative AI models using our scalable rest APIs which integrate seamlessly and come at a fraction of the cost of other alternatives. Seamless integrations with your existing systems, without the need for extensive development. Easily integrate our APIs into your workflow with support for stacks like CURL, Python, Node.js and PHP. We access the unused computing power of millions of decentralised crypto mining rigs worldwide and optimize them for machine learning and package them with popular generative AI models like Stable Diffusion. By harnessing these decentralized resources, we can provide you with a scalable, globally accessible, and, most importantly, affordable platform for Generative AI delivered through seamlessly integrable APIs. -
9
ComfyUI
ComfyUI
ComfyUI is a free and open source node-based application for generative AI, enabling users to build, create, and share without limits. It allows for the extension of functionality through custom nodes, letting users tailor workflows to their specific needs. Designed for performance, ComfyUI runs workflows directly on local machines, offering faster iteration, lower costs, and complete control. The visual interface provides full control by connecting nodes on a canvas, allowing for branching, remixing, and adjusting every part of the workflow at any time. Workflows can be saved, shared, and reused effortlessly, with exported media carrying metadata to instantly rebuild the full workflow. Users can see results in real-time as they adjust workflows, facilitating faster iteration with instant visual feedback. ComfyUI supports the generation of various media types, including images, videos, 3D assets, and audio.Starting Price: Free -
10
VESSL AI
VESSL AI
Build, train, and deploy models faster at scale with fully managed infrastructure, tools, and workflows. Deploy custom AI & LLMs on any infrastructure in seconds and scale inference with ease. Handle your most demanding tasks with batch job scheduling, only paying with per-second billing. Optimize costs with GPU usage, spot instances, and built-in automatic failover. Train with a single command with YAML, simplifying complex infrastructure setups. Automatically scale up workers during high traffic and scale down to zero during inactivity. Deploy cutting-edge models with persistent endpoints in a serverless environment, optimizing resource usage. Monitor system and inference metrics in real-time, including worker count, GPU utilization, latency, and throughput. Efficiently conduct A/B testing by splitting traffic among multiple models for evaluation.Starting Price: $100 + compute/month -
11
Comfy Cloud
Comfy
Comfy Cloud delivers the full functionality of ComfyUI, a node-based visual generative-AI workflow engine, directly in the browser with no setup required. It works anywhere instantly, giving users access to the most powerful server GPUs (such as A100/40 GB) while maintaining stability and performance. All popular open and closed source models (e.g., Stable Diffusion 1.5/SDXL, Qwen-Image, ByteDance SeeDream4.0, Ideogram, Moonvalley) and pre-installed custom nodes are ready to use, while the platform is kept continuously up to date and the underlying infrastructure is managed for you. Users pay only for GPU runtime, not idle time, so editing, setup, and downtime aren’t billed. It supports browser-based creation on any device, handles workflows at scale, and simplifies team deployment with enterprise-grade features such as priority queuing, dedicated resources, and organizational plans.Starting Price: $20 per month -
12
Orkes
Orkes
Scale your distributed applications, modernize your workflows for durability, and protect against software failures and downtimes with Orkes, the leading orchestration platform for developers. Build distributed systems that span across microservices, serverless, AI models, event-driven architectures and more - in any language, any framework. Your innovation, your code, your app - designed, developed, and delighting users a magnitude order faster. Orkes Conductor is the fastest way to build and modernize all your applications. Model your business logic as intuitively as you would in a whiteboard, code the components in the language and framework of your choice, run them at scale with no additional setups and observe across your distributed landscape - with enterprise-grade security and manageability baked-in. -
13
Predibase
Predibase
Declarative machine learning systems provide the best of flexibility and simplicity to enable the fastest-way to operationalize state-of-the-art models. Users focus on specifying the “what”, and the system figures out the “how”. Start with smart defaults, but iterate on parameters as much as you’d like down to the level of code. Our team pioneered declarative machine learning systems in industry, with Ludwig at Uber and Overton at Apple. Choose from our menu of prebuilt data connectors that support your databases, data warehouses, lakehouses, and object storage. Train state-of-the-art deep learning models without the pain of managing infrastructure. Automated Machine Learning that strikes the balance of flexibility and control, all in a declarative fashion. With a declarative approach, finally train and deploy models as quickly as you want. -
14
Dynamiq
Dynamiq
Dynamiq is a platform built for engineers and data scientists to build, deploy, test, monitor and fine-tune Large Language Models for any use case the enterprise wants to tackle. Key features: 🛠️ Workflows: Build GenAI workflows in a low-code interface to automate tasks at scale 🧠 Knowledge & RAG: Create custom RAG knowledge bases and deploy vector DBs in minutes 🤖 Agents Ops: Create custom LLM agents to solve complex task and connect them to your internal APIs 📈 Observability: Log all interactions, use large-scale LLM quality evaluations 🦺 Guardrails: Precise and reliable LLM outputs with pre-built validators, detection of sensitive content, and data leak prevention 📻 Fine-tuning: Fine-tune proprietary LLM models to make them your ownStarting Price: $125/month -
15
Steamship
Steamship
Ship AI faster with managed, cloud-hosted AI packages. Full, built-in support for GPT-4. No API tokens are necessary. Build with our low code framework. Integrations with all major models are built-in. Deploy for an instant API. Scale and share without managing infrastructure. Turn prompts, prompt chains, and basic Python into a managed API. Turn a clever prompt into a published API you can share. Add logic and routing smarts with Python. Steamship connects to your favorite models and services so that you don't have to learn a new API for every provider. Steamship persists in model output in a standardized format. Consolidate training, inference, vector search, and endpoint hosting. Import, transcribe, or generate text. Run all the models you want on it. Query across the results with ShipQL. Packages are full-stack, cloud-hosted AI apps. Each instance you create provides an API and private data workspace. -
16
PredictSense
Winjit
PredictSense is an end-to-end Machine Learning platform powered by AutoML to create AI-powered analytical solutions. Fuel the new technological revolution of tomorrow by accelerating machine intelligence. AI is key to unlocking value from enterprise data investments. PredictSense enables businesses to monetize critical data infrastructure and technology investments by creating AI driven advanced analytical solutions rapidly. Empower data science and business teams with advanced capabilities to quickly build and deploy robust technology solutions at scale. Easily integrate AI into the current product ecosystem and fast track GTM for new AI solutions. Incur huge savings in cost, time and effort by building complex ML models in AutoML. PredictSense democratizes AI for every individual in the organization and creates a simple, user-friendly collaboration platform to seamlessly manage critical ML deployments. -
17
Omnistrate
Omnistrate
Build and operate your multi-cloud offering at one-tenth the cost with enterprise-grade capabilities like SaaS provisioning, serverless auto-scaling, billing, monitoring with auto-recovery, and intelligent patching. Build a managed cloud offering for your data product(s) with enterprise-grade capabilities. Automate platform engineering to streamline software delivery and achieve zero-touch management. Omnistrate simplifies SaaS launch your all-in-one essentials, no more building the undifferentiated things from the ground up. One API call to scale across clouds, regions, environments, service offerings, and infrastructure. Built on open standards, we don't need access to your customers' data or your software. Seamlessly scale your cloud offering using auto-scaling with a scale down to zero. Automate your mundane, repetitive, undifferentiated tasks and focus on building your core product to delight your customers. -
18
VectorShift
VectorShift
Build, design, prototype, and deploy custom generative AI workflows. Improve customer engagement and team/personal productivity. Build and embed into your website in minutes. Connect the chatbot with your knowledge base, and summarize and answer questions about documents, videos, audio files, and websites instantly. Create marketing copy, personalized outbound emails, call summaries, and graphics at scale. Save time by leveraging a library of pre-built pipelines such as chatbots and document search. Contribute to the marketplace by sharing your pipelines with other users. Our secure infrastructure and zero-day retention policy mean your data will not be stored by model providers. Our partnerships begin with a free diagnostic where we assess whether your organization is generative already and we create a roadmap for creating a turn-key solution using our platform to fit into your processes today. -
19
Cerebras
Cerebras
We’ve built the fastest AI accelerator, based on the largest processor in the industry, and made it easy to use. With Cerebras, blazing fast training, ultra low latency inference, and record-breaking time-to-solution enable you to achieve your most ambitious AI goals. How ambitious? We make it not just possible, but easy to continuously train language models with billions or even trillions of parameters – with near-perfect scaling from a single CS-2 system to massive Cerebras Wafer-Scale Clusters such as Andromeda, one of the largest AI supercomputers ever built. -
20
Open Agent Studio
Cheat Layer
Open Agent Studio is not just another co-pilot it's a no-code co-pilot builder that enables solutions that are impossible in all other RPA tools today. We believe these other tools will copy this idea, so our customers have a head start over the next few months to target markets previously untouched by AI with their deep industry insight. Subscribers have access to a free 4-week course, which teaches how to evaluate product ideas and launch a custom agent with an enterprise-grade white label. Easily build agents by simply recording your keyboard and mouse actions, including scraping data and detecting the start node. The agent recorder makes it as easy as possible to build generalized agents as quickly as you can teach how to do it. Record once, then share across your organization to scale up future-proof agents. -
21
Graphcore
Graphcore
Build, train and deploy your models in the cloud, using the latest IPU AI systems and the frameworks you love, with our cloud partners. Allowing you to save on compute costs and seamlessly scale to massive IPU compute when you need it. Get started with IPUs today with on-demand pricing and free tier offerings with our cloud partners. We believe our Intelligence Processing Unit (IPU) technology will become the worldwide standard for machine intelligence compute. The Graphcore IPU is going to be transformative across all industries and sectors with a real potential for positive societal impact from drug discovery and disaster recovery to decarbonization. The IPU is a completely new processor, specifically designed for AI compute. The IPU’s unique architecture lets AI researchers undertake entirely new types of work, not possible using current technologies, to drive the next advances in machine intelligence. -
22
Amazon Bedrock
Amazon
Amazon Bedrock is a fully managed service that simplifies building and scaling generative AI applications by providing access to a variety of high-performing foundation models (FMs) from leading AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon itself. Through a single API, developers can experiment with these models, customize them using techniques like fine-tuning and Retrieval Augmented Generation (RAG), and create agents that interact with enterprise systems and data sources. As a serverless platform, Amazon Bedrock eliminates the need for infrastructure management, allowing seamless integration of generative AI capabilities into applications with a focus on security, privacy, and responsible AI practices. -
23
Lamatic.ai
Lamatic.ai
A managed PaaS with a low-code visual builder, VectorDB, and integrations to apps and models for building, testing, and deploying high-performance AI apps on edge. Eliminate costly, error-prone work. Drag and drop models, apps, data, and agents to find what works best. Deploy in under 60 seconds and cut latency in half. Observe, test, and iterate seamlessly. Visibility and tools ensure accuracy and reliability. Make data-driven decisions with request, LLM, and usage reports. See real-time traces by node. Experiments make it easy to optimize everything always embeddings, prompts, models, and more. Everything you need to launch & iterate at scale. Community of bright-minded builders sharing insights, experience & feedback. Distilling the best tips, tricks & techniques for AI application development. An elegant platform to build agentic systems like a team of 100. An intuitive and simple frontend to collaborate and manage AI applications seamlessly.Starting Price: $100 per month -
24
Anyscale
Anyscale
Anyscale is a unified AI platform built around Ray, the world’s leading AI compute engine, designed to help teams build, deploy, and scale AI and Python applications efficiently. The platform offers RayTurbo, an optimized version of Ray that delivers up to 4.5x faster data workloads, 6.1x cost savings on large language model inference, and up to 90% lower costs through elastic training and spot instances. Anyscale provides a seamless developer experience with integrated tools like VSCode and Jupyter, automated dependency management, and expert-built app templates. Deployment options are flexible, supporting public clouds, on-premises clusters, and Kubernetes environments. Anyscale Jobs and Services enable reliable production-grade batch processing and scalable web services with features like job queuing, retries, observability, and zero-downtime upgrades. Security and compliance are ensured with private data environments, auditing, access controls, and SOC 2 Type II attestation.Starting Price: $0.00006 per minute -
25
NVIDIA Base Command
NVIDIA
NVIDIA Base Command™ is a software service for enterprise-class AI training that enables businesses and their data scientists to accelerate AI development. Part of the NVIDIA DGX™ platform, Base Command Platform provides centralized, hybrid control of AI training projects. It works with NVIDIA DGX Cloud and NVIDIA DGX SuperPOD. Base Command Platform, in combination with NVIDIA-accelerated AI infrastructure, provides a cloud-hosted solution for AI development, so users can avoid the overhead and pitfalls of deploying and running a do-it-yourself platform. Base Command Platform efficiently configures and manages AI workloads, delivers integrated dataset management, and executes them on right-sized resources ranging from a single GPU to large-scale, multi-node clusters in the cloud or on-premises. Because NVIDIA’s own engineers and researchers rely on it every day, the platform receives continuous software enhancements. -
26
Hyperbrowser
Hyperbrowser
Hyperbrowser is a platform for running and scaling headless browsers in secure, isolated containers, built for web automation and AI-driven use cases. It enables users to automate tasks like web scraping, testing, and form filling, and to scrape and structure web data at scale for analysis and insights. Hyperbrowser integrates with AI agents to facilitate browsing, data collection, and interaction with web applications. It offers features such as automatic captcha solving to streamline automation workflows, stealth mode to bypass bot detection, and session management with logging, debugging, and secure resource isolation. The platform supports over 10,000 concurrent browsers with sub-millisecond latency, ensuring scalable and reliable browsing with a 99.9% uptime guarantee. Hyperbrowser is compatible with various tech stacks, including Python and Node.js, and provides both synchronous and asynchronous clients for seamless integration.Starting Price: $30 per month -
27
ezML
ezML
On our platform, you can quickly configure a pipeline, made up of layers (models providing computer vision functionality) that pass the output of one to the next, to create your desired functionality by layering our prebuilt functionality to match your desired behavior. If you have a niche case that our versatile prebuilts don’t encompass, either reach out to us and we will add it for you, or use our custom model creation to create it and add it to the pipeline yourself. Then easily integrate into your app with the ezML libraries implemented in a variety of frameworks/languages that support the most basic cases as well as realtime streaming with TCP, WebRTC, and RTMP. Deployments auto-scale to meet your product's demand, ensuring uninterrupted functionality no matter how big your user base grows. -
28
Knapsack
Knapsack
Knapsack is a digital production platform that connects design and code into a real-time system of record, enabling enterprise teams to build, govern, and deliver digital products at scale. It offers dynamic documentation that automatically updates when code changes occur, ensuring that documentation remains current and reducing maintenance overhead. Knapsack's design tokens and theming capabilities allow for the connection of brand decisions to style implementation in product UIs, ensuring a cohesive brand experience across portfolios. Knapsack's component and pattern management provides a birds-eye view of components across design, code, and documentation, ensuring consistency and alignment as systems scale. Its prototyping and composition features enable teams to use production-ready components to prototype and share UIs, allowing for exploration, validation, and testing with code that ships. Knapsack also offers permissions and controls to meet the complex workflow. -
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Sieve
Sieve
Build better AI with multiple models. AI models are a new kind of building block. Sieve is the easiest way to use these building blocks to understand audio, generate video, and much more at scale. State-of-the-art models in just a few lines of code, and a curated set of production-ready apps for many use cases. Import your favorite models like Python packages. Visualize results with auto-generated interfaces built for your entire team. Deploy custom code with ease. Define your environment compute in code, and deploy with a single command. Fast, scalable infrastructure without the hassle. We built Sieve to automatically scale as your traffic increases with zero extra configuration. Package models with a simple Python decorator and deploy them instantly. A full-featured observability stack so you have full visibility of what’s happening under the hood. Pay only for what you use, by the second. Gain full control over your costs.Starting Price: $20 per month -
30
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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MosaicML
MosaicML
Train and serve large AI models at scale with a single command. Point to your S3 bucket and go. We handle the rest, orchestration, efficiency, node failures, and infrastructure. Simple and scalable. MosaicML enables you to easily train and deploy large AI models on your data, in your secure environment. Stay on the cutting edge with our latest recipes, techniques, and foundation models. Developed and rigorously tested by our research team. With a few simple steps, deploy inside your private cloud. Your data and models never leave your firewalls. Start in one cloud, and continue on another, without skipping a beat. Own the model that's trained on your own data. Introspect and better explain the model decisions. Filter the content and data based on your business needs. Seamlessly integrate with your existing data pipelines, experiment trackers, and other tools. We are fully interoperable, cloud-agnostic, and enterprise proved. -
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Apolo
Apolo
Access readily available dedicated machines with pre-configured professional AI development tools, from dependable data centers at competitive prices. From HPC resources to an all-in-one AI platform with an integrated ML development toolkit, Apolo covers it all. Apolo can be deployed in a distributed architecture, as a dedicated enterprise cluster, or as a multi-tenant white-label solution to support dedicated instances or self-service cloud. Right out of the box, Apolo spins up a full-fledged AI-centric development environment with all the tools you need at your fingertips. Apolo manages and automates the infrastructure and processes for successful AI development at scale. Apolo's AI-centric services seamlessly stitch your on-prem and cloud resources, deploy pipelines, and integrate your open-source and commercial development tools. Apolo empowers enterprises with the tools and resources necessary to achieve breakthroughs in AI.Starting Price: $5.35 per hour -
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Lightning AI
Lightning AI
Use our platform to build AI products, train, fine tune and deploy models on the cloud without worrying about infrastructure, cost management, scaling, and other technical headaches. Train, fine tune and deploy models with prebuilt, fully customizable, modular components. Focus on the science and not the engineering. A Lightning component organizes code to run on the cloud, manage its own infrastructure, cloud costs, and more. 50+ optimizations to lower cloud costs and deliver AI in weeks not months. Get enterprise-grade control with consumer-level simplicity to optimize performance, reduce cost, and lower risk. Go beyond a demo. Launch the next GPT startup, diffusion startup, or cloud SaaS ML service in days not months.Starting Price: $10 per credit -
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Seaplane
Seaplane IO
Build and scale apps globally without the pain of managing cloud infrastructure. Unlock the power of multi-cloud and edge with all the APIs, services, and support you need to bring the best version of your app to users everywhere. Seaplane enables startups to move faster, build velocity, and easily deploy apps globally. Don't waste time managing cloud infrastructure when you could be generating valuable traffic from the get-go. Cloud complexity scales with your business needs and objectives. With Seaplane, your app is auto-scaled to meet the demands of your global user base, while maintaining shipping velocity. Seaplane puts enterprises on a higher cloud. Deliver high-quality user experiences globally with the power of multi-cloud and edge. We remove the complexity so you can deliver the best version of your app to users everywhere. -
35
Substrate
Substrate
Substrate is the platform for agentic AI. Elegant abstractions and high-performance components, optimized models, vector database, code interpreter, and model router. Substrate is the only compute engine designed to run multi-step AI workloads. Describe your task by connecting components and let Substrate run it as fast as possible. We analyze your workload as a directed acyclic graph and optimize the graph, for example, merging nodes that can be run in a batch. The Substrate inference engine automatically schedules your workflow graph with optimized parallelism, reducing the complexity of chaining multiple inference APIs. No more async programming, just connect nodes and let Substrate parallelize your workload. Our infrastructure guarantees your entire workload runs in the same cluster, often on the same machine. You won’t spend fractions of a second per task on unnecessary data roundtrips and cross-region HTTP transport.Starting Price: $30 per month -
36
Prompteus
Alibaba
Prompteus is a platform designed to simplify the creation, management, and scaling of AI workflows, enabling users to build production-ready AI systems in minutes. It offers a visual editor to design workflows, which can then be deployed as secure, standalone APIs, eliminating the need for backend management. Prompteus supports multi-LLM integration, allowing users to connect to various large language models with dynamic switching and optimized costs. It also provides features like request-level logging for performance tracking, smarter caching to reduce latency and save on costs, and seamless integration into existing applications via simple APIs. Prompteus is serverless, scalable, and secure by default, ensuring efficient AI operation across different traffic volumes without infrastructure concerns. Prompteus helps users reduce AI provider costs by up to 40% through semantic caching and detailed analytics on usage patterns.Starting Price: $5 per 100,000 requests -
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Maya
Maya
We're building autonomous systems that write and deploy custom software to perform complex tasks, from just English instruction. Maya translates steps written in English into visual programs that you can edit & extend without writing code. Describe the business logic for your application in English to generate a visual program. Dependencies auto-detected, installed, and deployed in seconds. Use our drag-and-drop editor to extend functionality to 100s of nodes. Build useful tools quickly, to automate all your work. Stitch multiple data sources by just describing how they work together. Pipe data into tables, charts, and graphs generated from natural language descriptions. Build, edit, and deploy dynamic forms to help a human enter & modify data. Copy and paste your natural language program into a note-taking app, or share it with a friend. Write, modify, debug, deploy & use apps programmed in English. Describe the steps you want Maya to generate code for. -
38
The Oracle AI Data Platform unifies the complete data-to-insight lifecycle with embedded artificial intelligence, machine learning, and generative capabilities across data stores, analytics, applications, and infrastructure. It supports everything from data ingestion and governance through to feature engineering, model training, and operationalization, enabling organizations to build trusted AI-driven systems at scale. With its integrated architecture, the platform offers native support for vector search, retrieval-augmented generation, and large language models, while enabling secure, auditable access to business data and analytics across enterprise roles. The platform’s analytics layer lets users explore, visualize, and interpret data with AI-powered assistance, where self-service dashboards, natural-language queries, and generative summaries accelerate decision making.
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39
PyTorch
PyTorch
Transition seamlessly between eager and graph modes with TorchScript, and accelerate the path to production with TorchServe. Scalable distributed training and performance optimization in research and production is enabled by the torch-distributed backend. A rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more. PyTorch is well supported on major cloud platforms, providing frictionless development and easy scaling. Select your preferences and run the install command. Stable represents the most currently tested and supported version of PyTorch. This should be suitable for many users. Preview is available if you want the latest, not fully tested and supported, 1.10 builds that are generated nightly. Please ensure that you have met the prerequisites (e.g., numpy), depending on your package manager. Anaconda is our recommended package manager since it installs all dependencies. -
40
Gradio
Gradio
Build & Share Delightful Machine Learning Apps. Gradio is the fastest way to demo your machine learning model with a friendly web interface so that anyone can use it, anywhere! Gradio can be installed with pip. Creating a Gradio interface only requires adding a couple lines of code to your project. You can choose from a variety of interface types to interface your function. Gradio can be embedded in Python notebooks or presented as a webpage. A Gradio interface can automatically generate a public link you can share with colleagues that lets them interact with the model on your computer remotely from their own devices. Once you've created an interface, you can permanently host it on Hugging Face. Hugging Face Spaces will host the interface on its servers and provide you with a link you can share. -
41
NeoPulse
AI Dynamics
The NeoPulse Product Suite includes everything needed for a company to start building custom AI solutions based on their own curated data. Server application with a powerful AI called “the oracle” that is capable of automating the process of creating sophisticated AI models. Manages your AI infrastructure and orchestrates workflows to automate AI generation activities. A program that is licensed by the organization to allow any application in the enterprise to access the AI model using a web-based (REST) API. NeoPulse is an end-to-end automated AI platform that enables organizations to train, deploy and manage AI solutions in heterogeneous environments, at scale. In other words, every part of the AI engineering workflow can be handled by NeoPulse: designing, training, deploying, managing and retiring. -
42
Supavec
Supavec
Supavec is an open source Retrieval-Augmented Generation (RAG) platform designed to help developers build powerful AI applications that integrate seamlessly with any data source, regardless of scale. As an alternative to Carbon.ai, Supavec offers full control over your AI infrastructure, allowing you to choose between a cloud version or self-hosting on your own systems. Built with technologies like Supabase, Next.js, and TypeScript, Supavec ensures scalability, enabling the handling of millions of documents with support for concurrent processing and horizontal scaling. The platform emphasizes enterprise-grade privacy by utilizing Supabase Row Level Security (RLS), ensuring that your data remains private and secure with granular access control. Developers benefit from a simple API, comprehensive documentation, and easy integration, facilitating quick setup and deployment of AI applications.Starting Price: Free -
43
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. -
44
Griptape
Griptape AI
Build, deploy, and scale end-to-end AI applications in the cloud. Griptape gives developers everything they need to build, deploy, and scale retrieval-driven AI-powered applications, from the development framework to the execution runtime. 🎢 Griptape is a modular Python framework for building AI-powered applications that securely connect to your enterprise data and APIs. It offers developers the ability to maintain control and flexibility at every step. ☁️ Griptape Cloud is a one-stop shop to hosting your AI structures, whether they are built with Griptape, another framework, or call directly to the LLMs themselves. Simply point to your GitHub repository to get started. 🔥 Run your hosted code by hitting a basic API layer from wherever you need, offloading the expensive tasks of AI development to the cloud. 📈 Automatically scale workloads to fit your needs.Starting Price: Free -
45
Exspanse
Exspanse
Exspanse streamlines the path from development to business value. Build, train & rapidly deploy powerful machine learning models from a single user interface that can scale with your business. Train, tune, and prototype models from the Exspanse Notebook with the help of high-powered GPUs, CPUs & our AI code assistant. Think beyond training & modeling when you can use the rapid deploy feature to deploy models as an API right from an Exspanse Notebook. Clone and publish unique AI projects to DeepSpace AI marketplace to advance the AI community. Power, efficiency, and collaboration in one comprehensive platform. Unleash your full potential as a solo data scientist while maximizing your impact. Manage and accelerate your AI development process through our integrated platform. Turn your innovative ideas into working models quickly and effectively. Seamlessly transition from building to deploying AI solutions, without the need for extensive DevOps knowledge.Starting Price: $50 per month -
46
Discuro
Discuro
Discuro is the all-in-one platform for developers looking to easily build, test & consume complex AI workflows. Define your workflow in our easy-to-use UI, and when you're ready to execute, simply make one API call to us, with your inputs, any meta-data, and we'll do the rest. Use an Orchestrator to feed generated data back into GPT-3. Reliably integrate with OpenAI and extract the data you need with ease. Create & consume your own flows in minutes. We've built everything you need to integrate with OpenAI, at scale, so you can focus on the product. The first challenge in integrating with OpenAI is extracting the data you need, we'll handle this for you by collecting input/output definitions. Easily chain completions together to build large data sets. Use our iterative input feature to feed GPT-3 output back in, and have us make consecutive calls to expand your data set, and much more. Easily build & test complex self-transforming AI workflows & datasets.Starting Price: $34 per month -
47
Anon
Anon
Anon offers two powerful ways to integrate your applications with services that lack APIs, enabling you to build innovative solutions and automate workflows like never before. The API packages pre-built automation on popular services that don’t offer APIs and are the simplest way to use Anon. The toolkit to build user-permissions integrations for sites without APIs. Using Anon, developers can enable agents to authenticate and take actions on behalf of users across the most popular sites on the internet. Programmatically interact with the most popular messaging services. The runtime SDK is an authentication toolkit that lets AI agent developers build their own integrations on popular services that don’t offer APIs. Anon simplifies the work of building and maintaining user-permission integrations across platforms, languages, auth types, and services. We build the annoying infra so you can build amazing apps. -
48
PostgresML
PostgresML
PostgresML is a complete platform in a PostgreSQL extension. Build simpler, faster, and more scalable models right inside your database. Explore the SDK and test open source models in our hosted database. Combine and automate the entire workflow from embedding generation to indexing and querying for the simplest (and fastest) knowledge-based chatbot implementation. Leverage multiple types of natural language processing and machine learning models such as vector search and personalization with embeddings to improve search results. Leverage your data with time series forecasting to garner key business insights. Build statistical and predictive models with the full power of SQL and dozens of regression algorithms. Return results and detect fraud faster with ML at the database layer. PostgresML abstracts the data management overhead from the ML/AI lifecycle by enabling users to run ML/LLM models directly on a Postgres database.Starting Price: $.60 per hour -
49
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. -
50
Vertesia
Vertesia
Vertesia is a unified, low-code generative AI platform that enables enterprise teams to rapidly build, deploy, and operate GenAI applications and agents at scale. Designed for both business professionals and IT specialists, Vertesia offers a frictionless development experience, allowing users to go from prototype to production without extensive timelines or heavy infrastructure. It supports multiple generative AI models from leading inference providers, providing flexibility and preventing vendor lock-in. Vertesia's agentic retrieval-augmented generation (RAG) pipeline enhances generative AI accuracy and performance by automating and accelerating content preparation, including intelligent document processing and semantic chunking. With enterprise-grade security, SOC2 compliance, and support for leading cloud infrastructures like AWS, GCP, and Azure, Vertesia ensures secure and scalable deployments.
