Alternatives to Dynamiq

LM-Kit.NET is an enterprise-grade toolkit designed for seamlessly integrating generative AI into your .NET applications, fully supporting Windows, Linux, and macOS. Empower your C# and VB.NET projects with a flexible platform that simplifies the creation and orchestration of dynamic AI agents. Leverage efficient Small Language Models for on‑device inference, reducing computational load, minimizing latency, and enhancing security by processing data locally. Experience the power of Retrieval‑Augmented Generation (RAG) to boost accuracy and relevance, while advanced AI agents simplify complex workflows and accelerate development. Native SDKs ensure smooth integration and high performance across diverse platforms. With robust support for custom AI agent development and multi‑agent orchestration, LM‑Kit.NET streamlines prototyping, deployment, and scalability—enabling you to build smarter, faster, and more secure solutions trusted by professionals worldwide.

AI agents that interact and answer questions with users and complete tasks using your data and APIs. AI that can answer questions, summarize and extract insights from any long document. Transfer styles and formats, as well as tags and summaries between documents and data sources. Stack AI is used by developer teams to automate customer service, process documents, qualify leads, and search libraries of data. With a single button, you can try multiple LLM architectures and prompts. Collect data, run fine-tuning tasks and build the optimal LLM to fit your product. We host your workflows in APIs, so that your users have access to AI instantly. Compare the fine-tuning services of different LLM providers.

Fully managed ML tools allow you to build, deploy and scale machine-learning (ML) models quickly, for any use case. Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection. Vertex AI Agent Builder empowers developers to design and deploy advanced generative AI applications for enterprise use. It supports both no-code and code-driven development, enabling users to create AI agents through natural language prompts or by integrating with frameworks like LangChain and LlamaIndex.

Platform for AI agents testing and debugging by the industry's leading developers. We developed the tools, so you don't need to. Visually track events, such as LLM, tools, and agent interactions. Rewind and playback agent runs with pinpoint precision. Keep a complete data trail from prototype to production of logs, errors and prompt injection attacks. Native integrations with top agent frameworks. Track, save and monitor each token that your agent sees. Monitor and manage agent spending using the most recent price monitoring. Save up to 25x on specialized LLMs by fine-tuning them based on completed completions. Build your next agent using evals and replays. You can visualize the behavior of your agents in your AgentOps dashboard with just two lines of coding. After you set up AgentOps each execution of your program will be recorded as a "session" and the data will automatically be recorded for you.

Amazon Bedrock is a managed AWS service designed to make building and scaling generative AI applications easier by providing access to a diverse range of foundation models (FMs) from leading providers such as AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon itself. Through a single API, developers can test, fine-tune, and customize these models to meet specific use cases using advanced techniques like Retrieval Augmented Generation (RAG). The platform allows for the creation of intelligent agents that seamlessly integrate with enterprise systems and data sources, enabling enhanced automation and decision-making. Bedrock’s serverless architecture removes the need for infrastructure management, ensuring high scalability and minimal operational complexity. With a focus on security, data privacy, and responsible AI, Amazon Bedrock empowers organizations to accelerate innovation while maintaining trust and compliance. It represents a powerful tool for businesses aiming to integrate cutting-edge AI solutions into their operations effortlessly.

Weave is an AI workflow builder without coding that allows users to automate tasks using multiple Large Language Models and connecting prompts, all without the need to code. Users can customize templates and turn workflows into automated solutions using an intuitive interface. Weave supports a variety of AI models including those from OpenAI Meta, Hugging Face and Mistral AI. This allows for seamless integration and fine tuning to achieve industry-specific outcomes. The key features are intuitive dataflow management and app-ready APIs to make integration easy, AI hosting, cost effective AI models, seamless personalization, user-friendly modules, and AI hosting. Weave is perfect for applications like generating character dialogue, creating intelligent chatbots and automating written material.

Optimizing continuous pre-training to enrich models with proprietary data. Assuring domain-specific models provide a smooth user experience. Create a production-friendly RAG pipeline that offers ongoing support. With Arcee's SLM Adaptation system, you do not have to worry about fine-tuning, infrastructure set-up, and all the other complexities involved in stitching together solutions using a plethora of not-built-for-purpose tools. Our product's domain adaptability allows you to train and deploy SLMs for a variety of use cases. Arcee's VPC service allows you to train and deploy your SLMs while ensuring that what belongs to you, stays yours.

Klu.ai, a Generative AI Platform, simplifies the design, deployment, and optimization of AI applications. Klu integrates your Large Language Models and incorporates data from diverse sources to give your applications unique context. Klu accelerates the building of applications using language models such as Anthropic Claude (Azure OpenAI), GPT-4 (Google's GPT-4), and over 15 others. It allows rapid prompt/model experiments, data collection and user feedback and model fine tuning while cost-effectively optimising performance. Ship prompt generation, chat experiences and workflows in minutes. Klu offers SDKs for all capabilities and an API-first strategy to enable developer productivity. Klu automatically provides abstractions to common LLM/GenAI usage cases, such as: LLM connectors and vector storage, prompt templates, observability and evaluation/testing tools.

SuperAGI SuperCoder combines AI-native development platform & AI agents in order to enable fully autonomous software creation starting with the python programming language & frameworks. SuperCoder 2.0 leverages Large Action Models (LAMs) and LLMs fine-tuned to python code creation leading to one-shot or few-shot python functional programming with significantly higher accuracy on SWE-bench and Codebench SuperCoder 2.0 is an autonomous system that combines software guardrails for Flask & Django development frameworks with SuperAGI's Generally Intelligent Developer Agents in order to deliver complex real-world software systems SuperCoder 2.0 integrates deeply with existing developer stacks such as Jira or Github, Jenkins, CSPs, and QA solutions like BrowserStack/Selenium Clouds, to ensure a seamless experience in software development.

Vishwa.ai, an AutoOps Platform for AI and ML Use Cases. It offers expert delivery, fine-tuning and monitoring of Large Language Models. Features: Expert Prompt Delivery : Tailored prompts tailored to various applications. Create LLM Apps without Coding: Create LLM workflows with our drag-and-drop UI. Advanced Fine-Tuning : Customization AI models. LLM Monitoring: Comprehensive monitoring of model performance. Integration and Security Cloud Integration: Supports Google Cloud (AWS, Azure), Azure, and Google Cloud. Secure LLM Integration - Safe connection with LLM providers Automated Observability for efficient LLM Management Managed Self Hosting: Dedicated hosting solutions. Access Control and Audits - Ensure secure and compliant operations.

Flowise is open source and will always be free to use for commercial and private purposes. Build LLMs apps easily with Flowise, an open source UI visual tool to build your customized LLM flow using LangchainJS, written in Node Typescript/Javascript. Open source MIT License, see your LLM applications running live, and manage component integrations. GitHub Q&A using conversational retrieval QA chains. Language translation using LLM chains with a chat model and chat prompt template. Conversational agent for chat model that uses chat-specific prompts.

You can use advanced language models and coding to solve a variety of problems. To build cutting-edge applications, leverage large-scale, generative AI models that have deep understandings of code and language to allow for new reasoning and comprehension. These coding and language models can be applied to a variety use cases, including writing assistance, code generation, reasoning over data, and code generation. Access enterprise-grade Azure security and detect and mitigate harmful use. Access generative models that have been pretrained with trillions upon trillions of words. You can use them to create new scenarios, including code, reasoning, inferencing and comprehension. A simple REST API allows you to customize generative models with labeled information for your particular scenario. To improve the accuracy of your outputs, fine-tune the hyperparameters of your model. You can use the API's few-shot learning capability for more relevant results and to provide examples.

Simplismart’s fastest inference engine allows you to fine-tune and deploy AI model with ease. Integrate with AWS/Azure/GCP, and many other cloud providers, for simple, scalable and cost-effective deployment. Import open-source models from popular online repositories, or deploy your custom model. Simplismart can host your model or you can use your own cloud resources. Simplismart allows you to go beyond AI model deployment. You can train, deploy and observe any ML models and achieve increased inference speed at lower costs. Import any dataset to fine-tune custom or open-source models quickly. Run multiple training experiments efficiently in parallel to speed up your workflow. Deploy any model to our endpoints, or your own VPC/premises and enjoy greater performance at lower cost. Now, streamlined and intuitive deployments are a reality. Monitor GPU utilization, and all of your node clusters on one dashboard. On the move, detect any resource constraints or model inefficiencies.

Phidata is a platform that allows users to build, deploy, and monitor AI agents. It allows users to create domain specific agents with memory, external tools, and knowledge. This enhances AI capabilities for a variety of tasks. The platform integrates seamlessly with databases, vector stores and APIs. It supports a wide range of large language model. Phidata provides pre-configured template to accelerate development and deployment. This allows users to quickly move from building agents to shipping into production. It has features such as real-time monitoring and agent evaluations. Performance optimization tools are also included to ensure the reliability and scalability. Phidata allows developers to use their own cloud infrastructure for a flexible custom setup. The platform offers robust support for enterprise, including security features and agent guardrails. It also automates DevOps to make deployments easier.

With just one line of code, you can deploy all major ML frameworks like Pytorch and Onnx. Do you not have your own models? Prebuilt models can be deployed to reduce latency and cost. You can fine-tune models for specific tasks to reduce latency and costs while increasing performance. It's easy to do and you don't have to worry about infrastructure. Integrate with the top ML observability platform to be alerted on feature or prediction drift, compare models versions, and resolve issues quickly. To resolve model performance problems, discover the root causes of prediction and feature drift. Find out which features contribute the most to your model's performance.

A system that can scale to millions of users, without requiring an engineering team. Create, customize and deploy your chat-based AI. Finance chatbot. xFinance is a 13-billion-parameter model fine-tuned using LoRA. Our goal was show that impressive results can be achieved in financial NLP without breaking the bank. Your own AI assistant to chat with documents. Single or multiple documents. Simple or complex questions. Easy-to-use deep learning platform, hardware efficient algorithms that speed up inference and lower costs. Real-time monitoring and logging of resource usage and cloud costs for deployed models. xTuring, an open-source AI software for personalization, is a powerful tool. xTuring provides a simple interface for personalizing LLMs based on your data and application.

Query and compare multiple proprietary and open-source models simultaneously. Replace expensive APIs with custom AI models. Customize foundational AI models using your private data and adapt them to fit your specific use case. Small, fine-tuned models perform at the same level as GPT-4 while being up to 90% less expensive. Airtrain's LLM-assisted scoring simplifies model grading using your task descriptions. Airtrain's API allows you to serve your custom models in the cloud, or on your own secure infrastructure. Evaluate and compare proprietary and open-source models across your entire dataset using custom properties. Airtrain's powerful AI evaluation tools let you score models based on arbitrary properties to create a fully customized assessment. Find out which model produces outputs that are compliant with the JSON Schema required by your agents or applications. Your dataset is scored by models using metrics such as length and compression.

Langflow is an AI builder that uses low-code to create agentic, retrieval-augmented generation apps. It provides a visual interface which allows developers to build complex AI workflows by dragging and dropping components. This facilitates rapid experimentation, prototyping and testing. The platform is Python based and independent of any model, API or database. This allows for seamless integration with a variety of tools and stacks. Langflow is a platform that supports the development and deployment of intelligent chatbots as well as document analysis systems and multi-agent apps. It has features like dynamic input variables, fine tuning capabilities, and the creation of custom components. Langflow also integrates with a number of services, such as Cohere Bing HuggingFace OpenAI Pinecone and Anthropic. The platform allows developers to use pre-built components, or create their own. This increases flexibility in AI application creation. The platform offers a free cloud-based service for quick deployment.

With our enterprise Gen AI stack you can go beyond your imagination. You can instantly offload manual tasks and give them to powerful assistants. The sky is the limit. For enterprises that place data security first, fine-tune generative AI models and deploy them on your own cloud securely.

Powerful language models a click away. Join over 8,000 developers in building the next wave world-changing applications. Fine-tune GPT-J and deploy Codegen, FLAN-T5, GPT NeoX and GPT NeoX. There are multiple models with different capabilities and prices. GPT-J has the fastest speed, while GPT NeoX is the most powerful. And more models are coming. These models can be used for classification, entity extracting, code generation and chatbots. They can also be used for content generation, summarizations, paraphrasings, sentiment analysis and more. These models have already been pre-trained using a large amount of text taken from the internet. The fine-tuning process improves this for specific tasks, by training on more examples than are possible in a prompt. This allows you to achieve better results across a range of tasks.

OpenPipe provides fine-tuning for developers. Keep all your models, datasets, and evaluations in one place. New models can be trained with a click of a mouse. Automatically record LLM responses and requests. Create datasets using your captured data. Train multiple base models using the same dataset. We can scale your model to millions of requests on our managed endpoints. Write evaluations and compare outputs of models side by side. You only need to change a few lines of code. OpenPipe API Key can be added to your Python or Javascript OpenAI SDK. Custom tags make your data searchable. Small, specialized models are much cheaper to run than large, multipurpose LLMs. Replace prompts in minutes instead of weeks. Mistral and Llama 2 models that are fine-tuned consistently outperform GPT-4-1106 Turbo, at a fraction the cost. Many of the base models that we use are open-source. You can download your own weights at any time when you fine-tune Mistral or Llama 2.

Teammately is a self-iterating AI agent that revolutionizes AI development. It will meet your objectives in a way that exceeds human capabilities by creating AI products, models and agents. It uses a scientific method to refine and select the optimal combinations of prompts and foundation models. Teammately builds dynamic LLM-as a judge systems tailored to your project. This ensures reliability by combining fair test datasets, minimizing hallucinations and quantifying AI capabilities. The platform aligns itself with your goals via Product Requirement Docs, allowing for focused iteration to desired outcomes. The platform's key features include multi-step prompting and serverless vector searches, as well as deep iteration processes to continuously refine AI until goals are achieved. Teammately emphasizes efficiency as well by identifying the smallest feasible models, reducing cost, and improving performance.

Fine-tuning is when you take a dataset, and create a model to use AI. This is not always possible without programming so we created a solution in RIku that handles everything in a very easy format. Fine-tuning unlocks an entirely new level of power for artificial intelligence and we are excited to help you explore this. Public Share Links are landing pages you can create for any of the prompts. These can be designed with your brand in mind, including colors and adding your logo. These links can be shared with anyone, and if they have access to the password to unlock it they will be able make generations. No-code assistant builder for your audience. We found that projects using multiple large languages models have a lot of problems. They all return their outputs in a slightly different way.

LlamaIndex, a "dataframework", is designed to help you create LLM apps. Connect semi-structured API data like Slack or Salesforce. LlamaIndex provides a flexible and simple data framework to connect custom data sources with large language models. LlamaIndex is a powerful tool to enhance your LLM applications. Connect your existing data formats and sources (APIs, PDFs, documents, SQL etc.). Use with a large-scale language model application. Store and index data for different uses. Integrate downstream vector stores and database providers. LlamaIndex is a query interface which accepts any input prompts over your data, and returns a knowledge augmented response. Connect unstructured data sources, such as PDFs, raw text files and images. Integrate structured data sources such as Excel, SQL etc. It provides ways to structure data (indices, charts) so that it can be used with LLMs.

Semantic Kernel, a lightweight open-source development tool, allows you to easily build AI agents, and integrate the latest AI model into your C# or Python codebase. It is a middleware that allows rapid delivery of enterprise grade solutions. Semantic Kernel is flexible, modular and observable, which is why Microsoft and other Fortune 500 firms use it. With security-enhancing features like hooks, filters, and telemetry, you can be confident that you are delivering responsible AI at scale. It's reliable and committed to non-breaking changes. Version 1.0+ is supported across C# Python and Java. Existing chat-based APIs can be easily extended to support other modalities such as voice and video. Semantic Kernel is future-proof and connects your code with the latest AI models that evolve as technology advances.

Manage the entire lifecycle of LLM applications development, testing, deployment and operation without having to piece together multiple systems. Achieving the lowest Total Cost of Ownership (TCO). Featuring a vector database and search engines that outperform all other leading vendors, with 10X less query latency, a 5X higher query rate, and a 3X lower cost. A data and knowledge base that manages large, multi-modal unstructured and structed data efficiently. Never worry about outdated data. Plug and play the latest, advanced, modular, agentic, RAG and GraphRAG without writing plumbing code. You can confidently configure your AI applications using CI/CD evaluations without worrying about regressions. Accelerate iterations to move from development to production in days instead of months. Access control based on roles and privileges.

You can build, deploy and monitor AI-powered applications in just a few simple clicks. No coding or machine learning expertise is required. Stop puzzling together disjointed tools, featuring-engineering your way to production, and calling in favors to get results. With a platform that is designed to build, monitor and improve AI solutions throughout their entire lifecycle, managing all your AI initiatives will be a breeze. No more hyperparameter tuning and feature engineering. Graft guarantees that everything you build will work in production because the platform is production. Your AI solution should be tailored to your business. You retain control over the AI solution, from foundation models to pretraining and fine-tuning. Unlock the value in your unstructured data, such as text, images, videos, audios, and graphs. Control and customize solutions at scale.

Create, evaluate, deploy, refine, and improve custom natural language processing models. Your team can automate workflows without the need for an AI expert team or expensive infrastructure. Metatext makes it easy to create customized AI/NLP models without any prior knowledge of ML, data science or MLOps. Automate complex workflows in just a few steps and rely on intuitive APIs and UIs to handle the heavy lifting. Our APIs will handle all the heavy lifting. Your custom AI will be trained and deployed automatically. A set of deep learning algorithms will help you get the most out of your custom AI. You can test it in a Playground. Integrate our APIs into your existing systems, Google Spreadsheets, or other tools. Choose the AI engine that suits your needs. Each AI engine offers a variety of tools that can be used to create datasets and fine tune models. Upload text data in different file formats and use our AI-assisted data labeling tool to annotate labels.

Our open-source research efforts are focused on both the new "ware" (middleware and "software" which will wrap and integrate LLMs) as well as building high quality, automation-focused enterprise model available in Hugging Face. LLMWare is also a coherent, high quality, integrated and organized framework for developing LLM-applications in an open system. This provides the foundation for creating LLM-applications that are designed for AI Agent workflows and Retrieval Augmented Generation. Our LLM framework was built from the ground-up to handle complex enterprise use cases. We can provide pre-built LLMs tailored to your industry, or we can fine-tune and customize an LLM for specific domains and use cases. We provide an end-toend solution, from a robust AI framework to specialized models.

IBM watsonx Orchestrate, a generative AI-based automation solution, empowers businesses by automating tasks and simplifying complex processes. It features a catalog of prebuilt skills and applications, as well as a conversational interface that allows the creation of AI assistants to automate repetitive tasks. The platform includes a low-code builder for creating and deploying large-scale language models-powered assistants. A natural language interface is used to facilitate development. The Skills Studio allows teams build automation using data and decisions, workflows and workflows. This integrates existing technology investments with AI Assistants. Thousands of prebuilt abilities facilitate quick integration with existing applications and systems. Orchestrate's LLM routing and orchestration features provide a user friendly experience, enabling AI agents to quickly accomplish tasks.

We'll host your website so you can focus on building. Our rest API is easy to use. No limits, no headaches. We have all the information you need. Don't pay for nothing. We only charge for use. Our support team is also our tech team. You'll get support directly, not through a series of hoops. Our flexible infrastructure allows us scale with you as your business grows and can handle spikes in activity. Our stable diffusion API allows you to easily create images and art from text to image, or image to image. Additional models allow you to change the output's style. MJ v4, Any v3, Analog and Redshift, and many more. Other stable diffusion versions such as 2.0+ will also include. You can train your own stable diffusion model (fine tuning) and then deploy on Evoke via an API. In the future, we will have models such as Whisper, Yolo and GPT-J. We also plan to offer training and deployment on many other models.

You can choose from our library and fine-tune or create your own capabilities to analyze, process, and present text, audio, and video at large scale. Incorporate advanced NLP in your app or workflow. You can choose from the existing library or create your own. With just one API call, you can summarize, tag, and analyze language using stackable, composable NLP blocks. These blocks are built on state of the art models. Our powerful Custom-Skill engine allows you to create and fine-tune custom Language skills from your data. Only 5% of the world’s population can speak English as their first language. One AI's capabilities can be used in multiple languages. You can build a podcast platform, CRM or content publishing tool using One AI's multilingual capabilities.

Train, fine-tune and generate text and image AI based on your data. We use the best open-source models for image and text generation, and can train them within minutes using LoRA fine tuning. Click the share button to generate a link or bot to your session. You can deploy your own private infrastructure. Create a free Stable Diffusion XL account to start chatting and generating images using open source language models. Drag'n'drop is the easiest way to fine-tune your model using your own text or images. It takes between 3-10 minutes. You can chat with the models and create images using a familiar chat interface.

Build complex backend agents using multiple steps with an action-based orchestration. All LLMs are supported. Build a fully customized UI without writing a line of code for your agent, and serve it on your own domain. Track your agent's every move, literally, to cope with the nondeterministic nature LLMs. Access control can be built at a finer grain for your application, data and agent. A fine-tuned, specialized model to accelerate software development. Automatically handle concurrency and rate limiting.

Tune Studio is a versatile and intuitive platform that allows users to fine-tune AI models with minimum effort. It allows users to customize machine learning models that have been pre-trained to meet their specific needs, without needing to be a technical expert. Tune Studio's user-friendly interface simplifies the process for uploading datasets and configuring parameters. It also makes it easier to deploy fine-tuned machine learning models. Tune Studio is ideal for beginners and advanced AI users alike, whether you're working with NLP, computer vision or other AI applications. It offers robust tools that optimize performance, reduce the training time and accelerate AI development.

Entry Point AI is a modern AI optimization platform that optimizes proprietary and open-source language models. Manage prompts and fine-tunes in one place. We make it easy to fine-tune models when you reach the limits. Fine-tuning involves showing a model what to do, not telling it. It works in conjunction with prompt engineering and retrieval augmented generation (RAG) in order to maximize the potential of AI models. Fine-tuning your prompts can help you improve their quality. Imagine it as an upgrade to a few-shot model that incorporates the examples. You can train a model to perform at the same level as a high-quality model for simpler tasks. This will reduce latency and costs. For safety, to protect the brand, or to get the formatting correct, train your model to not respond in a certain way to users. Add examples to your dataset to cover edge cases and guide model behavior.

We are ready to meet all your business needs, whether it is quick engineering, fine-tuning or training. The Together Inference API makes it easy to integrate your new model in your production application. Together AI's elastic scaling and fastest performance allows it to grow with you. To increase accuracy and reduce risks, you can examine how models are created and what data was used. You are the owner of the model that you fine-tune and not your cloud provider. Change providers for any reason, even if the price changes. Store data locally or on our secure cloud to maintain complete data privacy.

Construct your model as a live interactive graph. View data flowing through the architecture of your visualized model. View and edit the model architecture at the atomic level. Graphbook offers X-ray transparency without black boxes. Graphbook checks data type and form in real-time, with clear error messages. This makes model debugging easy. Graphbook abstracts out software dependencies and configuration of the environment, allowing you to focus on your model architecture and data flows with the computing resources required. Cerbrec Graphbook transforms cumbersome AI modeling into a user friendly experience. Graphbook, which is backed by a growing community that includes machine learning engineers and data science experts, helps developers fine-tune their language models like BERT and GPT using text and tabular data. Everything is managed out of box, so you can preview how your model will behave.

Mindset Al's Agent speaks to users and determines exactly what they are looking for. Then, it serves up content in bite-sized pieces. Mindset Al's Agent delivers specific, accurate, and personalized answers from your content library. Al will engage users in conversation to find out exactly what they are looking for. This way, they get the most appropriate answer. Our AI can interact with users like a coach, providing different responses based upon their needs and preferences. Mindset updates automatically to keep your knowledge up-to-date. Select which parts of your knowledge base Mindset has access to. You can customize your agent to meet your exact needs and give it access any LLM. Mindset integrates with all your office applications. View how employees engage with your content. Track agent bias, monitor performances, and run large-scale tests before giving your team the access.

Create a multimodel AI agent using your own data. Leverage LLM chatGPT, GPT4, Gemini or Anthropic. Instantly deploy AI agents to any of your web builders, including WordPress, Webflow Shopify Squarespace and more. Present the next-generation artificially intelligent chatbot. Create and name your AI agent, define his bio, describe its duty, and provide the knowledge of your choice. No code is needed to build your ChatGPT. No code is needed to teach your AI agent natural language. Tune it in real-time to your needs. We support multi-channel Integration and deploy customized ChatGPT on Slack, WhatsApp and other channels. Customized AI agents for ChatGPT can empower your business. Users can chat, subscribe and like community agents created by users. You can also share your own. AgentX provides a multi-model mix-match building experience. You can choose LLM from different vendors.

Lyzr Agent Studio provides a low-code/no code platform that allows enterprises to build, deploy and scale AI agents without requiring a lot of technical expertise. This platform is built on Lyzr’s robust Agent Framework, the first and only agent Framework to have safe and reliable AI natively integrated in the core agent architecture. The platform allows non-technical and technical users to create AI powered solutions that drive automation and improve operational efficiency while enhancing customer experiences without the need for extensive programming expertise. Lyzr Agent Studio allows you to build complex, industry-specific apps for sectors such as BFSI or deploy AI agents for Sales and Marketing, HR or Finance.

Choose a model from our open-source collection, run it and access the model API within your product. No matter what model you are using for Image Recognition or Language Processing, all models come pre-trained and packaged with an easy-to use API. There are many models to choose from, and the list is growing. We curate and fine-tune only the best models from HuggingFace or Github. You can either host the model yourself or get your API-Key and endpoint with just one click. Cargoship keeps up with the advancement of AI so you don’t have to. The Cargoship Model Store has a collection that can be used for any ML use case. You can test them in demos and receive detailed guidance on how to implement the model. No matter your level of expertise, our team will pick you up and provide you with detailed instructions.

Langtail is a cloud-based development tool designed to streamline the debugging, testing, deployment, and monitoring of LLM-powered applications. The platform provides a no-code interface for debugging prompts, adjusting model parameters, and conducting thorough LLM tests to prevent unexpected behavior when prompts or models are updated. Langtail is tailored for LLM testing, including chatbot evaluations and ensuring reliable AI test prompts. Key features of Langtail allow teams to: • Perform in-depth testing of LLM models to identify and resolve issues before production deployment. • Easily deploy prompts as API endpoints for smooth integration into workflows. • Track model performance in real-time to maintain consistent results in production environments. • Implement advanced AI firewall functionality to control and protect AI interactions. Langtail is the go-to solution for teams aiming to maintain the quality, reliability, and security of their AI and LLM-based applications.

Diaflow is a platform that allows you to scale AI across your entire organization. It enables everyone to deploy AI workflows which drive innovation. Create powerful apps and workflows using any data source to automate manual processes or create fully automated ones. Automate manual business processes in a way that your team will enjoy. Diaflow's intuitive components and interfaces allow you to create powerful AI-driven apps for your business that you can be proud of. Diaflow AI-powered editor offers a new way to create and edit documents. Your expertise can be leveraged to provide 24/7 support. With a built-in AI spreadsheet solution, you can easily manage and transform your data. Diaflow makes it easy to create amazing products for your business. Diaflow allows you to create apps and workflows without coding in just minutes.

Our platform allows you to create AI products, train, fine-tune, and deploy models on the cloud. You don't have to worry about scaling, infrastructure, cost management, or other technical issues. Prebuilt, fully customizable modular components make it easy to train, fine tune, and deploy models. The science, not the engineering, should be your focus. Lightning components organize code to run on the cloud and manage its own infrastructure, cloud cost, and other details. 50+ optimizations to lower cloud cost and deliver AI in weeks, not months. Enterprise-grade control combined with consumer-level simplicity allows you to optimize performance, reduce costs, and take on less risk. Get more than a demo. In days, not months, you can launch your next GPT startup, diffusion startup or cloud SaaSML service.

Dify is an open-source platform that simplifies the creation and management of generative AI applications. It offers a user-friendly orchestration studio for designing workflows, a dedicated Prompt IDE for crafting and testing prompts, and robust LLMOps tools for monitoring and optimizing large language models. Compatible with leading AI models like OpenAI’s GPT series and open-source options such as Llama, Dify provides developers with the flexibility to choose the best models for their projects. Its Backend-as-a-Service (BaaS) capabilities make it easy to integrate AI features into existing systems, enabling the development of intelligent tools like chatbots, document summarizers, and virtual assistants.

ServiceNow's AI Agents, embedded in the Now Platform are autonomous systems designed to perform repetitive tasks that humans traditionally handle. These agents interact in their environment to collect information, make decisions and execute tasks. They improve efficiency over time. They are able to continuously improve outcomes by leveraging domain-specific large languages models and a robust reason engine. AI Agents are natively integrated across workflows and systems of data, enabling end-to-end automated processes. They boost team productivity through orchestration of workflows, integrations and actions across the enterprise. The Now Platform allows organizations to deploy pre-built AI agents, or create custom agents tailored for specific needs. This integration allows employees focus on strategic initiatives by automating repetitive tasks.

Lazy AI is an innovative platform that allows users to create applications without coding. It requires a low level of skill and offers a library of pre-configured workflows. It allows users to jumpstart the application development journey by adding functionality using natural language, instead of writing code. Lazy AI not only works with frontend apps, but also backend apps. It deploys them automatically. Lazy AI makes the creation of applications easier than ever. Our customizable app templates allow you to easily create AI tools, Bots and Dev Tools for Finance, Marketing, Finance, and Marketing. Users can also browse by technology, such as Laravel, Twilio (Twitter), YouTube Selenium Webflow Stripe etc.

Sema4.ai empowers users to build and run enterprise AI agents, enabling them see, act and learn in previously unimaginable ways. Enterprise AI agents are the next-generation of applications that perform complex tasks with unprecedented accuracy and efficiency. Agents are based on large language models, but have capabilities that go beyond them. Agents are taught in plain English to make it easier for non-technical people to create and maintain. Agents are able to see and understand images and documents. Agents are available 24/7 and can find and complete work independently. Invoice reconciliation is an important financial process to ensure accurate and timely payments. Our enterprise AI agents streamline the process by automating workflows, reducing costs and strengthening financial controls. A finance agent automates this process, allowing you to focus on more valuable financial management tasks.

The first AI platform for business that does not require any code allows you to train and deploy GPT models in any use case. Our experts are ready to assist you. Our cost-effective tools can be used to fine-tune your open source models using your own data. You can deploy your open source model securely across multiple clouds, without having to rely on a third-party vendor for your valuable data. Our team of experts will create the perfect app for your needs. Our tool allows you to easily monitor your usage, and reduce costs. Let our team of experts help you solve your problems. Automate your customer service and efficiently classify your calls. Our advanced solution allows you to streamline customer interaction and improve service delivery. Build a robust system to detect fraud and anomalies based on previously flagged information.