Alternatives to Sttabot

Import data, such as text or images, from any source, including documents, cloud services or APIs, and launch a ChatGPT interface based upon your preferred large-language model, like GPT-4 or FLAN, and answer user questions based on imported data. A comprehensive list of sample queries that can be sent to an LLM connected through ZBrain to a company’s private data source. ZBrain can be seamlessly integrated into your existing products and tools as a prompt response service. You can enhance your deployment experience by choosing secure options such as ZBrain Cloud, or self-hosting on a private infrastructure. ZBrain Flow allows you to create business rules without writing code. The intuitive flow interface lets you connect multiple large language and prompt templates, image and video models, and extraction and parsing to build powerful, intelligent applications.

The AI Knowledge Platform. The Pinecone Database, Inference, and Assistant make building high-performance vector search apps easy. Fully managed and developer-friendly, the database is easily scalable without any infrastructure problems. Once you have vector embeddings created, you can search and manage them in Pinecone to power semantic searches, recommenders, or other applications that rely upon relevant information retrieval. Even with billions of items, ultra-low query latency Provide a great user experience. You can add, edit, and delete data via live index updates. Your data is available immediately. For more relevant and quicker results, combine vector search with metadata filters. Our API makes it easy to launch, use, scale, and scale your vector searching service without worrying about infrastructure. It will run smoothly and securely.

Create AI apps that can be shared using a simple editor similar to Notion. No need to hire expensive developers or write code. We take care of the hosting, database and deployment. Typeblock empowers you to create AI tools in less than 2 minutes, whether you're a marketing team, an agency, or an entrepreneur. Create SEO-optimized blogs and publish them instantly to your CMS. Create a tool that will generate highly personalized cold email for your sales team. Create a tool that will help you write Facebook ads, LinkedIn posts or Twitter threads. Create an app to write landing page copy for the marketing team. Build tools that create highly engaging newsletters using AI.

Superpowered AI is a knowledge retrieval solution that's been designed specifically for LLM applications. We turn complex infrastructure into a few API calls. Give your LLMs private information, such as internal company documents, that was not in the training data. Store old messages in the Knowledge Base, and retrieve the most pertinent ones every time the user sends another message. Reduce hallucinations when you include relevant information in your prompts. Instruct the LLM only to use the information that it has been given. Superpowered AI's knowledge retrieval system allows you to retrieve the correct information and insert it directly into your LLM prompts. This allows you to provide highly relevant responses to users. Create a knowledge database directly from local files or folders, URLs, and query using REST API in less than 10 lines. Multi-stage knowledge retrieval pipeline that is state-of-the art to provide the most relevant results.

We've already done the hard work of bundling, pre-configuring and integrating all the components that you need to build solutions and integrate LLMs into your business processes. ConfidentialMind allows you to jump into action. Deploy an endpoint for powerful open-source LLMs such as Llama-2 and turn it into an LLM API. Imagine ChatGPT on your own cloud. This is the most secure option available. Connects the rest with the APIs from the largest hosted LLM provider like Azure OpenAI or AWS Bedrock. ConfidentialMind deploys a Streamlit-based playground UI with a selection LLM-powered productivity tool for your company, such as writing assistants or document analysts. Includes a vector data base, which is critical for most LLM applications to efficiently navigate through large knowledge bases with thousands documents. You can control who has access to your team's solutions and what data they have.

The speed of thought can take you from idea to product. Create thinking apps that have real-world impact. Create functional apps without having to write a single line code. Add sources of truth to accurate results using URLs or drag-and-drop. You can use any input or output including text, images and videos. Create interfaces that are ready to use and can be published instantly. Create apps that work in the real world, with 4 million features. With just one click, you can turn your app into an instant business and generate revenue. Submit your app to Natural OS, and you can start serving millions of requests from users. Transform your app into an elegant morphing interface which finds users, instead of the opposite. Imagica, the new operating system of the AI age, allows computers to be extensions of our minds. We can now create at the speed we think. Imagica is a new operating system that allows us to create at the speed of thought. Our thoughts are used to generate new AIs, which supercharges our thinking.

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.

Choose the appropriate app type. Choose the output and input required for the app. Add data from existing sources such as files, URLs, sitemaps and YouTube links. You can also add data from Notion exports, Google Drive and other sources. Attach these data sources in the app builder. Save and publish your application. You can embed the code in your website or access it directly from the dedicated app page. Our APIs allow you to run the app directly from your application. Promptly offers embeddable widgets you can easily integrate in your website. These widgets can be used to create conversational AI applications, or to add a bot to your website. Customize the look and feel of the chatbot to match your website. Include a logo.

No one wants to have their AI respond to a client with outdated information. Neum AI provides accurate and current context for AI applications. Set up your data pipelines quickly by using built-in connectors. These include data sources such as Amazon S3 and Azure Blob Storage and vector stores such as Pinecone and Weaviate. Transform and embed your data using built-in connectors to embed models like OpenAI, Replicate and serverless functions such as Azure Functions and AWS Lambda. Use role-based controls to ensure that only the right people have access to specific vectors. Bring your own embedding model, vector stores, and sources. Ask us how you can run Neum AI on your own cloud.

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.

Describe examples of API requests and responses. Define API logic in natural language. Test your API endpoints, and fine-tune prompt, response structure, or request structure. Integrate API endpoints into your applications with just a click. In less than one minute, you can build and deploy sophisticated application logic with no code. No need for individual LLM accounts. Sign up for Backengine and get started building. Our super-fast backend architecture is available immediately. All endpoints have been secured and protected, so that only you and your application can use them. Manage your team members easily so that everyone can work on Backengine endpoints. Add persistent data to your Backengine endpoints. A complete replacement for the backend. Use external APIs to integrate your endpoints.

Build your RAG system intuitively with fewer abstractions than solutions like LangChain. You can choose from a variety of hosted and remote providers, including vector databases, datasets and Large Language Models. SciPhi allows you to version control and deploy your system from anywhere using Git. SciPhi's platform is used to manage and deploy an embedded semantic search engine that has over 1 billion passages. The team at SciPhi can help you embed and index your initial dataset into a vector database. The vector database will be integrated into your SciPhi workspace along with your chosen LLM provider.

Hubble is an easy-to-use platform that allows you to create AI-enabled apps without the need for any programming. Hubble allows you to create intuitive web-apps powered with cutting-edge AI models like GPT-3. Our drag-and-drop editor makes it easy to create interactive web apps. You can use the most advanced AI models for your app without worrying too much about API keys and integrations. Hubble manages all your app deployments and hosting. To maximize the power and potential of AI, connect your data sources (via embeddings). See the Hubble projects of our community members.

Graphlit simplifies the process of building an AI copilot or chatbot or adding LLMs to your existing application. Graphlit is a serverless platform that automates complex data processes, including data ingestion and extraction, LLM conversations. It also integrates webhooks, alerting, semantic search, and alerting. Graphlit's workflow as code approach allows you to programmatically define every step in the workflow. Data ingestion, metadata indexing, data preparation and data enrichment. Integration with your applications is achieved through event-based webhooks, API integrations, and integrations with event-based Webhooks.

Exspanse simplifies the path between development and business value. Build, train and rapidly deploy powerful machine-learning models using a single interface that scales with your business. Exspanse Notebook allows you to train, tune and prototype models with the help from high-powered GPUs, processors & AI code assistant. Rapid deploy allows you to go beyond training and modeling by deploying models as APIs directly from an Exspanse Notebook. Clone and publish unique AI project to DeepSpace AI Marketplace to advance the AI Community. Power, efficiency and collaboration all in one platform. You can maximize your impact as a data scientist working alone. Our integrated platform allows you to manage and accelerate the AI development process. Turn your innovative ideas quickly and efficiently into working models. You can seamlessly transition from building AI solutions to deploying them, without needing extensive DevOps expertise.

Frontly is an advanced SaaS/web app builder that does not require any coding. It offers powerful features and a rapid development process. Frontly is different from other app builders in that it allows users to create apps and components using AI, to build and maintain a library of reusable components and to duplicate entire apps and web pages. Users can also share and sell their designs on Frontly's marketplace for revenue. OpenAI allows you to automate repetitive tasks, edit and generate content using structured output. Transform your spreadsheets with charts, tables, forms and more into stunning visual interfaces. Access controls allow you to control which data users see down to the individual row level. Add your logo, brand colours, and custom domain to create a professional client-facing portal. Create apps in minutes that display data in a customized visual interface, filter the data based on permissions, generate with AI and revise your data, and connect your external systems via workflow automation integrations.

Clevis allows users to create AI applications without writing code. Users can easily create, execute and market apps that include text generation, image creation, and web scraping, using a variety of pre-built processing step. Learn how to create an app that can generate recipes based on dietary preferences, or one that can create character biographies and pictures using only a name and year. Create your app by combining text generation, image creation, and API requests. Start your journey quickly with one of our templates. Share a link that is publicly accessible to allow anyone to run your app. Clevis provides a set of features to simplify the creation of your AI application. You can monetize by selling access to your app with usage-based pricing. Start your app with a simple HTTP call using your API key.

Our auto-scaling AIs allow you to access powerful generative AIs models without any management. API calls are now available for generative AI models such as stable diffusion, dreambooth and pix2pix. Our scalable Rest APIs allow you to build applications on top of generative AI models. They integrate seamlessly and cost a fraction of what other alternatives do. Integrations that are seamless with your existing systems without extensive development. Our APIs are easy to integrate into your workflow, with support for stacks such as CURL, Python Node.js, and PHP. We harness the computing power of millions decentralised crypto mining machines around the world, optimize them for machine-learning and package them with popular AI models such as Stable Diffusion. We can deliver Generative AI through APIs that are easily integrated and scalable by leveraging these decentralized resources.

No coding is required to create AI voice assistants that can make outbound calls and answer inbound calls. They can also schedule appointments 24 hours a day. Forget expensive machine learning teams and lengthy development cycles. Synthflow allows you to create sophisticated, tailored AI agents with no technical knowledge or coding. All you need is your data and your ideas. Over a dozen AI agents are available for use in a variety of applications, including document search, process automaton, and answering questions. You can use an agent as is or customize it according to your needs. Upload data instantly using PDFs, CSVs PPTs URLs and more. Every new piece of information makes your agent smarter. No limits on storage or computing resources. Pinecone allows you to store unlimited vector data. You can control and monitor how your agent learns. Connect your AI agent to any data source or services and give it superpowers.

Everything you need to turn your ideas into AI apps within minutes. Our platform is easy to use and anyone can create next-generation AI-powered applications in just 10 minutes. Integrate APIs such as ChatGPT, Dalle-2 and Codex from Open AI seamlessly and even create custom ML models. To manage inventory, sales, contracts, and other functions, you can create a custom admin client or CRUD functionality. Dynamic dashboards can be created to transform data into actionable insights, and drive innovation for your business. Create a chatbot with multiple integrations to improve customer service and create an omnichannel experience. All-in-one cloud platform that combines low-code/no code tools with edge technologies. This makes your web application easy to manage, secure, and scalable. Our no-code/low code platform is perfect for both professional and business developers.

FieldDay lets you explore the world of AI, Machine Learning and AI right on your smartphone. We've simplified the process of creating machine learning models by turning it into a hands-on, engaging experience that's as easy as using your camera. FieldDay lets you create custom AI apps, and embed them into your favorite tools using only your phone. You can use FieldDay examples as a learning tool and create a custom model that is ready to embed in your app/project. FieldDay machine-learning models are used in a variety of projects and applications. Our range of export and integration options makes it easy to embed a machine learning model into any platform. FieldDay allows you to collect data from your phone camera. Our interface is designed to allow for intuitive and easy annotation during collection. You can create a custom dataset quickly. FieldDay allows you to preview and correct models in real-time.

Arches AI offers tools to create chatbots, train custom model, and generate AI-based content, all tailored to meet your specific needs. Deploy stable diffusion models, LLMs and more. A large language model agent (LLM) is a type artificial intelligence that uses deep-learning techniques and large data sets in order to understand, summarize and predict new content. Arches AI converts your documents into 'word embeddings.' These embeddings let you search by semantic meaning rather than by exact language. This is extremely useful when trying understand unstructured text information such as textbooks or documentation. Your information is protected from hackers and other bad characters by the strict security rules. You can delete all documents on the 'Files page'.

We are developing autonomous systems that can write and deploy custom software to complete complex tasks. This is done using only English instruction. Maya can translate steps from English into visual programs you can edit and extend without having to write code. To create a visual program, describe the business logic of your application in English. In seconds, dependencies are automatically detected, installed, then deployed. Drag-and-drop editor allows you to extend functionality to hundreds of nodes. To automate your work, quickly create useful tools. Simply describe how multiple data sources work together to connect them. Pipe data into tables, charts, or graphs using natural language descriptions. To assist a human entering and changing data, you can create, edit, or deploy dynamic forms. Copy and paste your natural-language program into a note-taking application or share it with friends. English-language apps can be written, modified, debugged, deployed, and used. Describe the steps that you want Maya code to take.

You can embed and store images, documents, and other information. No additional work required for high-performance retrieval workflows. Connect your data via the UI and API. Baseplate handles storage, embedding, and version control to ensure that your data is always up-to-date and in-sync. Hybrid Search with customized embeddings that are tailored to your data. No matter what type, size or domain of data you are searching for, you will get accurate results. Any LLM can be generated using data from your database. Connect search results to an App Builder prompt. It takes just a few clicks to deploy your app. Baseplate Endpoints allow you to collect logs, human feedback, etc. Baseplate Databases enable you to embed and store data in the same table with images, links, text, and other elements that make your LLM app great. You can edit your vectors via the UI or programmatically. We can version your data so that you don't have to worry about duplicates or stale data.

Your team can develop AI applications using models such as GPT-4, and operate them visually. You can deploy your application within 5 minutes, whether it is for internal team use or an external release. Using documents/webpages/Notion content as the context for AI, automatically complete text preprocessing, vectorization and segmentation. No need to learn embedding methods anymore. This will save you weeks of development. Dify offers a smooth user experience for model access and context embedding. It also provides cost control, data annotation, and cost control. You can easily create AI apps for internal team use, or product development. Start with a prompt but go beyond its limitations. Dify offers rich functionality in many scenarios.

DeepAI was founded on the belief that artificial intelligence can enable sustainable accommodation for all people at a high standard. DeepAI is a technology company that develops technologies to make this future possible. We are working towards the ultimate goal to make AGI easily accessible to everyone. Products built with AI. DeepAI can help you build with AI, whether you need to quickly train your own image recognition algorithms or hire top data scientists. To increase reproducibility, you can publish your data and research side by side. Learn about data science and follow the latest AI research. Contribute to one the largest AI communities in the World. Write guides to share concepts and techniques with the community. DeepAI's mission, through the provision of A.I., is to accelerate the world’s transition to artificial intelligence. agent.

Aicado is the platform of choice for AI solutions that don't require any coding. Select your favorite AI model, customize to your needs, then seamlessly integrate it into the business. We have the AI models that match. You can explore them, test them, and integrate them into the business for free. Aicado allows you to create an unlimited number of integrations. Every model can be integrated, and every integration can serve different purposes and connect to different domains. Faces can be easily swapped in videos with high precision. Ideal for creating creative and fun edits. Speak or upload a recording. Type a few words to describe the scene or object that you are picturing, and the AI will do the rest. It will then present you with a visual representation. Enter the text and the AI will take care of the rest. You can listen to the audio version. You can even turn your blog into a podcast.

It's fast and easy to create machine learning models for websites, apps, and other applications. Teachable Machine is flexible. You can use files or capture live examples. It respects your work. You can even use it entirely on-device without having to leave any microphone or webcam data. Teachable Machine, a web-based tool, makes it easy to create machine learning models. Artists, educators, students, innovators, and makers of all types - anyone with an idea to explore. There is no need to have any prior machine learning knowledge. Without writing any machine learning code, you can train a computer how to recognize your images, sounds, poses, and sounds. You can then use your model in your own sites, apps, and other projects.

Martian outperforms GPT-4 across OpenAI's evals (open/evals). Martian outperforms GPT-4 in all OpenAI's evaluations (open/evals). We transform opaque black boxes into interpretable visual representations. Our router is our first tool built using our model mapping method. Model mapping is being used in many other applications, including transforming transformers from unintelligible matrices to human-readable programs. Automatically reroute your customers to other providers if a company has an outage or a high latency period. Calculate how much money you could save using the Martian Model Router by using our interactive cost calculator. Enter the number of users and tokens per session. Also, specify how you want to trade off between cost and quality.

Take advantage of AI powerups to make your customers feel as if you were there. You can be the expert in your business, but on steroids. Be the first to create experiences that will captivate your customers in a unique and new way. AI tools can help your team be more productive by leveraging your expertise. Your visitors can interact with your AI without leaving your website. Let the AI enhance your expertise and make it known to the world. Tell the app what you want it to do, and it'll do it.

Levity is a no-code platform for creating custom AI models that take daily, repetitive tasks off your shoulders. Levity allows you to train AI models on documents, free text or images without writing any code. Build intelligent automations into existing workflows and connect them to the tools you already use. The platform is designed in a non-technical way, so everybody can start building within minutes and set up powerful automations without waiting for developer resources. If you struggle with daily tedious tasks that rule-based automation just can't handle, Levity is the quickest way to finally let machines handle them. Check out Levity's extensive library of templates for common use-cases such as sentiment analysis, customer support or document classification to get started within minutes. Add your custom data to further tailor the AI to your specific needs and only stay in the loop for difficult cases, so the AI can learn along the way.

Empower your product with AI. Our platform provides a wide range of pre-built models, as well as a user-friendly interface with no-code for custom models. Integrate AI seamlessly into applications to gain a competitive advantage. Sentiment analysis is also known as opinion-mining. It is the process of extracting and categorizing subjective information from text, such as reviews, comments on social media, or customer feedback. In recent years, this technology has grown in importance as more companies use it to understand the opinions and needs of their customers and make data-driven decision that can improve products, services, or marketing strategies. Sentiment analysis helps companies to understand customer feedback, and make data-driven decision that can improve their products, service, and marketing strategies.

Cloud-hosted AI packages that are managed and cloud-hosted will make it easier to ship AI faster. GPT-4 support is fully integrated. API tokens do not need to be used. Use our low-code framework to build. All major models can be integrated. Get an instant API by deploying. Scale and share your API without having to manage infrastructure. Make prompts, prompt chains, basic Python, and managed APIs. A clever prompt can be turned into a publicly available API that you can share. Python allows you to add logic and routing smarts. Steamship connects with your favorite models and services, so you don't need to learn a different API for each provider. Steamship maintains model output in a standard format. Consolidate training and inference, vector search, endpoint hosting. Import, transcribe or generate text. It can run all the models that you need. ShipQL allows you to query across all the results. Packages are fully-stack, cloud-hosted AI applications. Each instance you create gives you an API and private data workspace.

The next-generation low-code solution combines AI-driven customisation with full code access to provide ultimate flexibility. You can easily customize, style and launch your SaaS MVP. Our low-code framework allows you to build your site quickly and easily. AI will help you create a fully functional SaaS MVP. Our platform, which uses Next.js, Tailwind and other technologies, integrates seamlessly with NextAuth Stripe and more. This ensures a robust, modern development experience. You have full access to the source code, allowing you to customize, scale and modify your SaaS app to align perfectly with your vision. You can save time and effort by simply entering your information into the MVP. Use generative AI to automate the writing of copy, styling, and customizing every aspect of your SaaS MVP. This will streamline the entire development process.

Viso Suite is the only platform that can handle computer vision from all sides. It allows teams to quickly train, create, deploy, and manage computer vision applications without having to write code. Viso Suite enables you to create industry-leading computer vision systems and real-time deep learning systems using low-code and automated software infrastructure. Traditional development methods, fragmented tools and a lack of experience engineers are causing organizations to lose a lot of time, which can lead to inefficient, low-performing and costly computer vision systems. Viso Suite, an all-in-one enterprise visual platform, automates the entire lifecycle to build and deploy computer vision applications. High-quality training data can be collected using automated collection capabilities. All data collection can be controlled and secured. Continuous data collection is a key component of your AI models.

A managed PaaS that includes a low-code visual editor, VectorDB and integrations with apps and models to build, test, and deploy high-performance AI applications on the edge. Eliminate costly and error-prone work. Drag and drop agents, apps, data and models to find the best solution. Deployment in less than 60 seconds, and a 50% reduction in latency. Observe, iterate, and test seamlessly. Visibility and tools are essential for accuracy and reliability. Use data-driven decision making with reports on usage, LLM and request. View real-time traces per node. Experiments allow you to optimize embeddings and prompts, models and more. All you need to launch and iterate at large scale. Community of smart-minded builders who share their insights, experiences & feedback. Distilling the most useful tips, tricks and techniques for AI application developers. A platform that allows you to build agentic systems as if you were a 100-person team. A simple and intuitive frontend for managing AI applications and collaborating with them.

Metal is a fully-managed, production-ready ML retrieval platform. Metal embeddings can help you find meaning in unstructured data. Metal is a managed services that allows you build AI products without having to worry about managing infrastructure. Integrations with OpenAI and CLIP. Easy processing & chunking of your documents. Profit from our system in production. MetalRetriever is easily pluggable. Simple /search endpoint to run ANN queries. Get started for free. Metal API Keys are required to use our API and SDKs. Authenticate by populating headers with your API Key. Learn how to integrate Metal into your application using our Typescript SDK. You can use this library in JavaScript as well, even though we love TypeScript. Fine-tune spp programmatically. Indexed vector data of your embeddings. Resources that are specific to your ML use case.

Marvin introduces the concept of AI Functions. These functions are different from conventional ones because they do not rely on source codes, but instead produce their outputs with AI on-demand by using an LLM runtime. You don't need to write complex code when using AI functions for tasks such as extracting entities from websites, scoring sentiment or categorizing data in your database. You can call the function and then describe your needs. Marvin introduces more flexible bots in addition to AI functions. Bots are AI assistants who can be programmed with specific instructions, personalities or roles. They can use custom plug-ins, leverage external knowledge and automatically create a thread history.

RapidCanvas is a no-code AI platform that helps businesses go from idea to live AI solution within hours. Our AutoAI technology automates the AI build and deploy process, reducing time to value by 90% or more. We work with you to understand your needs and create out-of-the-box AI solutions that are tailored to your specific business requirements. Our data science experts are available to help you optimize the results and ensure that you are satisfied with the performance of your AI solution. RapidCanvas is used by leaders in the Financial Services, Retail, Renewable Energy, and Manufacturing industries. We are committed to helping businesses of all sizes get the most out of AI.

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.

SKY ENGINE AI is a simulation and deep learning platform that generates fully annotated, synthetic data and trains AI computer vision algorithms at scale. The platform is architected to procedurally generate highly balanced imagery data of photorealistic environments and objects and provides advanced domain adaptation algorithms. SKY ENGINE AI platform is a tool for developers: Data Scientists, ML/Software Engineers creating computer vision projects in any industry. SKY ENGINE AI is a Deep Learning environment for AI training in Virtual Reality with Sensors Physics Simulation & Fusion for any Computer Vision applications.

Savvi is a powerful tool that can help you solve business challenges quickly and easily. Increase operational efficiency and empower your team for success. Start with the decision, prediction or recommendation that you would like to automate using AI. With a single line of code, you can easily integrate existing data into your app or run a cold start on data. Savvi manages your AI App from start to finish. Define your prediction or decision options. Identify business goals. Savvi collects data, trains ML models, builds your objective functions, and deploys your AI App. Savvi will learn continuously to improve according to your goals. Savvi will securely collect data and train a ML model from your product in less than few weeks. Savvi code can be dropped in and you're ready to go. You don't need to start with a data architecture project in order to use AI.

Tool for developers to monitor and improve AI powered by LLMs or other foundation models. Our simple SDK provides you with an intuitive and actionable overview of how your generative AI application is performing in production. Integrate LLM into your existing codebase, developer workflow and workflow. You can maintain complete control of your data by using our audit logs and fine-grained controls. Get actionable insights into how to improve LLM interactions. These teams are not only best equipped to integrate these capabilities into existing software, but also their proclivity for deployment, iteration, and improvement will be more relevant going forward. We believe that as software becomes more malleable, engineering teams will be the ones to turn this malleability into a delightful and hyper-personalized experience for users. The generative AI revolution will be led by developers.

Minerva, our proprietary AI platform, is used internally to create AI applications that can perform real-world tasks that require human-level understanding. Minerva's reach increases through the deployment domain-specific AI apps. Minerva adds knowledge, performs more general tasks, and connects dots that humans cannot. These powerful components are used to build our scalable AI apps such as Argus or Supernova. Minerva allows you to create your own AI workforce, and to transcend information complexity to make faster, more accurate decisions. Minerva allows natural user interaction via various dashboards or APIs that allow for the consumption of insight, feedback, and secure integration of Accrete's AI apps into existing enterprise workflows.

Responsible AI is a business problem and not a technical problem. We solve the problem by connecting teams to one platform, allowing you to reduce risk, maximize your potential, and put your intentions into action. Cloud-based governance applications can unite every stage of your AI/ML journey. GovernML is the catalyst you need to bring AI/ML systems to the world. We offer user-friendly workflows that track the entire lifecycle of your AI journey. This is good news for your bottom line and risk mitigation. Monitaur offers cloud-based governance solutions that track your AI/ML model from policy to proof. SOC 2 Type II certified, we can enhance your AI governance and provide bespoke solutions through a single platform. GovernML is responsible AI/ML systems that are available to the world. You can now create scalable, user-friendly workflows to document the entire lifecycle of your AI journey from one platform.

Build, test and optimize Generative AI apps that unlock the value in your data. Our industry-leading ML expertise, our state-of-the art test and evaluation platform and advanced retrieval augmented-generation (RAG) pipelines will help you optimize LLM performance to meet your domain-specific needs. We provide an end-toend solution that manages the entire ML Lifecycle. We combine cutting-edge technology with operational excellence to help teams develop high-quality datasets, because better data leads better AI.

Distributed training is possible without changing the model code. Determined takes care of provisioning, networking, data load, and fault tolerance. Our open-source deep-learning platform allows you to train your models in minutes and hours, not days or weeks. You can avoid tedious tasks such as manual hyperparameter tweaking, re-running failed jobs, or worrying about hardware resources. Our distributed training implementation is more efficient than the industry standard. It requires no code changes and is fully integrated into our state-ofthe-art platform. With its built-in experiment tracker and visualization, Determined records metrics and makes your ML project reproducible. It also allows your team to work together more easily. Instead of worrying about infrastructure and errors, your researchers can focus on their domain and build upon the progress made by their team.

A simple web API allows you to fine-tune your LLMs and receive completions. No infrastructure is required. Instantly create private AI applications that comply with SOC2-standards. Our developer platform makes it easy to customize models for your specific use case. Select the base model and define the data that you want to teach. We will take care of everything else. With a single API, you can integrate private LLMs with your applications. No more deployment, orchestration or infrastructure headaches. The most powerful OSS available -- highly generalized capabilities with amazing storytelling and reasoning capabilities. Use a fully unlocked LLM for the best internal automation systems in your company.

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.

Declarative machine-learning systems offer the best combination of flexibility and simplicity, allowing for the fastest way to implement state-of-the art models. The system works by asking users to specify the "what" and then the system will figure out the "how". Start with smart defaults and iterate down to the code level on parameters. With Ludwig at Uber, and Overton from Apple, our team pioneered declarative machine-learning systems in industry. You can choose from our pre-built data connectors to support your databases, data warehouses and lakehouses as well as object storage. You can train state-of the-art deep learning models without having to manage infrastructure. Automated Machine Learning achieves the right balance between flexibility and control in a declarative manner. You can train and deploy models quickly using a declarative approach.