Fireworks AI Alternatives

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.

Enterprise-ready AI system that trains locally on your data, deploys on your cloud and scales to millions of users without an engineering team. Build customize and deploy your own chat-based AI. Finance chatbot. xFinance, a 13-billion parameter model fine-tuned on an open-source model using LoRA. Our goal was to show that it is possible to achieve impressive results in financial NLP tasks without breaking the bank. Personal AI assistant, your own AI to chat with your documents. Single or multiple documents, easy or complex questions, and much more. Effortless deep learning platform for enterprises, hardware efficient algorithms to speed up inference at a lower cost. Real-time logging and monitoring of resource utilization and cloud costs of deployed models. xTuring is an open-source AI personalization software. xTuring makes it easy to build and control LLMs by providing a simple interface to personalize LLMs to your own data and application.

Query and compare a large selection of open-source and proprietary models at once. Replace costly APIs with cheap custom AI models. Customize foundational models on your private data to adapt them to your particular use case. Small fine-tuned models can perform on par with GPT-4 and are up to 90% cheaper. Airtrain’s LLM-assisted scoring simplifies model grading using your task descriptions. Serve your custom models from the Airtrain API in the cloud or within your secure infrastructure. Evaluate and compare open-source and proprietary models across your entire dataset with custom properties. Airtrain’s powerful AI evaluators let you score models along arbitrary properties for a fully customized evaluation. Find out what model generates outputs compliant with the JSON schema required by your agents and applications. Your dataset gets scored across models with standalone metrics such as length, compression, coverage.

Semantic Kernel is a lightweight, open-source development kit that lets you easily build AI agents and integrate the latest AI models into your C#, Python, or Java codebase. It serves as an efficient middleware that enables rapid delivery of enterprise-grade solutions. Microsoft and other Fortune 500 companies are already leveraging Semantic Kernel because it’s flexible, modular, and observable. Backed with security-enhancing capabilities like telemetry support, hooks, and filters you’ll feel confident you’re delivering responsible AI solutions at scale. Version 1.0+ support across C#, Python, and Java means it’s reliable, and committed to nonbreaking changes. Any existing chat-based APIs are easily expanded to support additional modalities like voice and video. Semantic Kernel was designed to be future-proof, easily connecting your code to the latest AI models evolving with the technology as it advances.

Firework turns web applications and sites into desktop applications. Instant loading time, pinned to the taskbar, easy to switch between. Open your web destinations as desktop applications in a dedicated window. You’ll never lose them again among the dozens of open tabs of a web browser. Pin your favorite web applications to the taskbar to keep them at hand. Instantly switch to your favorite web applications just by clicking on corresponding icons within the taskbar or by using hotkeys. Access your web applications and websites with ease and be more productive saving your time. Web applications go desktop! Quickly switch between them, move windows side by side as you want, use shortcuts for the fastest access. Don’t get distracted by random websites anymore, stay focused on your tasks and achieve more. Firework is an application based on Chromium, there’s nothing either heavyweight or complex in there. Firework is just a convenient tool for time-saving.

OpenPipe provides fine-tuning for developers. Keep your datasets, models, and evaluations all in one place. Train new models with the click of a button. Automatically record LLM requests and responses. Create datasets from your captured data. Train multiple base models on the same dataset. We serve your model on our managed endpoints that scale to millions of requests. Write evaluations and compare model outputs side by side. Change a couple of lines of code, and you're good to go. Simply replace your Python or Javascript OpenAI SDK and add an OpenPipe API key. Make your data searchable with custom tags. Small specialized models cost much less to run than large multipurpose LLMs. Replace prompts with models in minutes, not weeks. Fine-tuned Mistral and Llama 2 models consistently outperform GPT-4-1106-Turbo, at a fraction of the cost. We're open-source, and so are many of the base models we use. Own your own weights when you fine-tune Mistral and Llama 2, and download them at any time.

The open-source ML observability platform. Evaluate, test, and monitor ML models from validation to production. From tabular data to NLP and LLM. Built for data scientists and ML engineers. All you need to reliably run ML systems in production. Start with simple ad hoc checks. Scale to the complete monitoring platform. All within one tool, with consistent API and metrics. Useful, beautiful, and shareable. Get a comprehensive view of data and ML model quality to explore and debug. Takes a minute to start. Test before you ship, validate in production and run checks at every model update. Skip the manual setup by generating test conditions from a reference dataset. Monitor every aspect of your data, models, and test results. Proactively catch and resolve production model issues, ensure optimal performance, and continuously improve it.

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.

Improve the accuracy of your machine learning models with publicly available datasets. Save time on data discovery and preparation by using curated datasets that are ready to use in machine learning workflows and easy to access from Azure services. Account for real-world factors that can impact business outcomes. By incorporating features from curated datasets into your machine learning models, improve the accuracy of predictions and reduce data preparation time. Share datasets with a growing community of data scientists and developers. Deliver insights at hyperscale using Azure Open Datasets with Azure’s machine learning and data analytics solutions. There's no additional charge for using most Open Datasets. Pay only for Azure services consumed while using Open Datasets, such as virtual machine instances, storage, networking resources, and machine learning. Curated open data made easily accessible on Azure.

Your platform for developing generative AI solutions and custom copilots. Build solutions faster, using pre-built and customizable AI models on your data—securely—to innovate at scale. Explore a robust and growing catalog of pre-built and customizable frontier and open-source models. Create AI models with a code-first experience and accessible UI validated by developers with disabilities. Seamlessly integrate all your data from OneLake in Microsoft Fabric. Integrate with GitHub Codespaces, Semantic Kernel, and LangChain. Access prebuilt capabilities to build apps quickly. Personalize content and interactions and reduce wait times. Lower the burden of risk and aid in new discoveries for organizations. Decrease the chance of human error using data and tools. Automate operations to refocus employees on more critical tasks.

Explore the power of choosing the right LLM for your needs and how to optimize for quality, speed, and cost-efficiency. Access all LLMs across all providers with a single API key and a standard API. Setup your own cost, latency, and output speed constraints. Define a custom quality metric. Personalize your router for your requirements. Systematically send your queries to the fastest provider, based on the very latest benchmark data for your region of the world, refreshed every 10 minutes. Get started with Unify with our dedicated walkthrough. Discover the features you already have access to and our upcoming roadmap. Just create a Unify account to access all models from all supported providers with a single API key. Our router balances output quality, speed, and cost based on user-specific preferences. The quality is predicted ahead of time using a neural scoring function, which predicts how good each model would be at responding to a given prompt.

The Intel Distribution of OpenVINO toolkit makes it simple to adopt and maintain your code. Open Model Zoo provides optimized, pretrained models and Model Optimizer API parameters make it easier to convert your model and prepare it for inferencing. The runtime (inference engine) allows you to tune for performance by compiling the optimized network and managing inference operations on specific devices. It also auto-optimizes through device discovery, load balancing, and inferencing parallelism across CPU, GPU, and more. Deploy your same application across combinations of host processors and accelerators (CPUs, GPUs, VPUs) and environments (on-premise, on-device, in the browser, or in the cloud).

AI-FLOW is an innovative open-source platform designed to simplify how creators and innovators harness the power of artificial intelligence. With its user-friendly drag-and-drop interface, AI-FLOW enables you to effortlessly connect and combine leading AI models, crafting custom AI tools tailored to your unique needs. Key Features: 1. Diverse AI Model Integration: Gain access to a suite of top-tier AI models, including GPT-4, DALL-E 3, Stable Diffusion, Mistral, LLaMA, and more—all in one convenient location. 2. Drag-and-Drop Interface: Build complex AI workflows with ease—no coding required—thanks to our intuitive design. 3. Custom AI Tool Creation: Design bespoke AI solutions quickly, from image generation to language processing. 4. Local Data Storage: Maintain full control over your data with options for local storage and the ability to export as JSON files.

From idea to the product at the speed of thought. Create thinking apps with real-world impact. Build functional apps without writing a single line of code. Add sources of truth for accurate results with URLs or drag and drop. Use any input or output, including text, images, video and 3D models. Create ready-to-use interfaces that can be published immediately. Build apps that act in the real world with 4 million functions. Turn your app into a business with one click to generate immediate revenue. Submit your app to Natural OS and start serving millions of user requests. Turn your app into a beautiful morphing interface that finds users instead of the other way around. Imagica is the new operating system for the AI age that enables computers to be an extension of our minds so that we can all create at the speed of thought. With Imagica, our thoughts generate new AIs to supercharge our thinking and co-create with computers in previously unimaginable ways.

Build and manage AI applications easily without needing to move your data to complex pipelines and specialized vector databases. Integrate AI and vector search directly with your database including real-time inference and model training. A single scalable deployment of all your AI models and APIs which is automatically kept up-to-date as new data is processed immediately. No need to introduce an additional database and duplicate your data to use vector search and build on top of it. SuperDuperDB enables vector search in your existing database. Integrate and combine models from Sklearn, PyTorch, and HuggingFace with AI APIs such as OpenAI to build even the most complex AI applications and workflows. Deploy all your AI models to automatically compute outputs (inference) in your datastore in a single environment with simple Python commands.

Whether prompt engineering, fine-tuning, or training, we are ready to meet your business demands. Easily integrate your new model into your production application using the Together Inference API. With the fastest performance available and elastic scaling, Together AI is built to scale with your needs as you grow. Inspect how models are trained and what data is used to increase accuracy and minimize risks. You own the model you fine-tune, not your cloud provider. Change providers for whatever reason, including price changes. Maintain complete data privacy by storing data locally or in our secure cloud.

Options for every business to train deep learning and machine learning models cost-effectively. AI accelerators for every use case, from low-cost inference to high-performance training. Simple to get started with a range of services for development and deployment. Tensor Processing Units (TPUs) are custom-built ASIC to train and execute deep neural networks. Train and run more powerful and accurate models cost-effectively with faster speed and scale. A range of NVIDIA GPUs to help with cost-effective inference or scale-up or scale-out training. Leverage RAPID and Spark with GPUs to execute deep learning. Run GPU workloads on Google Cloud where you have access to industry-leading storage, networking, and data analytics technologies. Access CPU platforms when you start a VM instance on Compute Engine. Compute Engine offers a range of both Intel and AMD processors for your VMs.

The Xilinx’s AI development platform for AI inference on Xilinx hardware platforms consists of optimized IP, tools, libraries, models, and example designs. It is designed with high efficiency and ease-of-use in mind, unleashing the full potential of AI acceleration on Xilinx FPGA and ACAP. Supports mainstream frameworks and the latest models capable of diverse deep learning tasks. Provides a comprehensive set of pre-optimized models that are ready to deploy on Xilinx devices. You can find the closest model and start re-training for your applications! Provides a powerful open source quantizer that supports pruned and unpruned model quantization, calibration, and fine tuning. The AI profiler provides layer by layer analysis to help with bottlenecks. The AI library offers open source high-level C++ and Python APIs for maximum portability from edge to cloud. Efficient and scalable IP cores can be customized to meet your needs of many different applications.

Monitor your LLMs in production, and discover and fix hallucinations, accuracy, and quality-related errors with LLM outputs seamlessly. Evaluate your outputs for hallucinations, misinformation, quality issues, and other bad outputs. Configurable for any LLM use case. Segment your data to analyze your cost, accuracy, response times, model usage, and feedback in depth. Search, sort, and filter through your inference calls, and trace through your queries, retrievals, prompts, responses, and feedback metrics to debug generations. Explore your conversations, understand what your users are talking about and how they feel, and learn which conversations ended badly. Compare your performance metrics across different models and prompts. Our insights will help you find the best-performing model for every use case. Our evaluators use your data, configurations, and feedback to get better and analyze the outputs better.

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.

DeepSpeed is an open source deep learning optimization library for PyTorch. It's designed to reduce computing power and memory use, and to train large distributed models with better parallelism on existing computer hardware. DeepSpeed is optimized for low latency, high throughput training. DeepSpeed can train DL models with over a hundred billion parameters on the current generation of GPU clusters. It can also train up to 13 billion parameters in a single GPU. DeepSpeed is developed by Microsoft and aims to offer distributed training for large-scale models. It's built on top of PyTorch, which specializes in data parallelism.

Select a model from our open source collection, run the container and access the model API in your product. No matter if Image Recognition or Language Processing - all models are pre-trained and packaged in an easy-to-use API. Choose from a large selection of models that is always growing. We curate and fine-tune the best models from HuggingFace and Github. You can either host the model yourself very easily or get your personal endpoint and API-Key with one click. Cargoship is keeping up with the development of the AI space so you don’t have to. With the Cargoship Model Store you get a collection for every ML use case. On the website you can try them out in demos and get detailed guidance from what the model does to how to implement it. Whatever your level of expertise, we will pick you up and give you detailed instructions.

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.

Impacting virtually every industry, generative AI unlocks a new frontier of opportunities, for knowledge and creative workers, to solve today’s most important challenges. NVIDIA is powering generative AI through an impressive suite of cloud services, pre-trained foundation models, as well as cutting-edge frameworks, optimized inference engines, and APIs to bring intelligence to your enterprise applications. NVIDIA AI Foundations is a set of cloud services that advance enterprise-level generative AI and enable customization across use cases in areas such as text (NVIDIA NeMo™), visual content (NVIDIA Picasso), and biology (NVIDIA BioNeMo™). Unleash the full potential with NeMo, Picasso, and BioNeMo cloud services, powered by NVIDIA DGX™ Cloud, the AI supercomputer. Marketing copy, storyline creation, and global translation in many languages. For news, email, meeting minutes, and information synthesis.

Focus on building, we’ll take care of hosting. Just plug and play with our rest API. No limits, no headaches. We have all the inferencing capacity you need. Stop paying for nothing. We’ll only charge based on use. Our support team is our tech team too. So you’ll be getting support directly rather than jumping through hoops. The flexible infrastructure allows us to scale with you as you grow and handle any spikes in activity. Image and art generation from text to image or image to image with clear documentation with our stable diffusion API. Change the output's art style with additional models. MJ v4, Anything v3, Analog, Redshift, and more. Other stable diffusion versions like 2.0+ will also be included. Train your own stable diffusion model (fine-tuning) and deploy on Evoke as an API. We plan to have other models like Whisper, Yolo, GPT-J, GPT-NEOX, and many more in the future for not only inference but also training and deployment.

You will find all the tools you need to easily adapt cutting-edge AI models to you specific needs, using your own data. Design super-intelligent AI agents by combining the individual expertise of several cutting-edge AI models. All the AI models published on the platform are open-source. The datasets they were trained on are accessible, their limitations and their biases are also shared.

LM-Kit.NET is a cutting-edge, high-level inference SDK designed specifically to bring the advanced capabilities of Large Language Models (LLM) into the C# ecosystem. Tailored for developers working within .NET, LM-Kit.NET provides a comprehensive suite of powerful Generative AI tools, making it easier than ever to integrate AI-driven functionality into your applications. The SDK is versatile, offering specialized AI features that cater to a variety of industries. These include text completion, Natural Language Processing (NLP), content retrieval, text summarization, text enhancement, language translation, and much more. Whether you are looking to enhance user interaction, automate content creation, or build intelligent data retrieval systems, LM-Kit.NET offers the flexibility and performance needed to accelerate your project.

Powerful language models a click away. Join over 8,000 developers building the next wave of world-changing applications. Fine-tune and deploy GPT-J, GPT-NeoX, Codegen, and FLAN-T5. Multiple models, each with different capabilities and price points. GPT-J is the fastest model, while GPT-NeoX is the most powerful—and more are on the way. Use these models for classification, entity extraction, code generation, chatbots, content generation, summarization, paraphrasing, sentiment analysis, and much more. These models have been pre-trained on a vast amount of text from the open internet. Fine-tuning improves upon this for specific tasks by training on many more examples than can fit in a prompt, letting you achieve better results on a wide number of tasks.

Training open source language models requires time and specialized knowledge. Taylor AI empowers your engineering team to focus on generating real business value, rather than deciphering complex libraries and setting up training infrastructure. Working with third-party LLM providers requires exposing your company's sensitive data. Most providers reserve the right to re-train models with your data. With Taylor AI, you own and control your models. Break away from the pay-per-token pricing structure. With Taylor AI, you only pay to train the model. You have the freedom to deploy and interact with your AI models as much as you like. New open source models emerge every month. Taylor AI stays current on the best open source language models, so you don't have to. Stay ahead, and train with the latest open source models. You own your model, so you can deploy it on your terms according to your unique compliance and security standards.

Ansys Chemkin-Pro is the industry leader for modeling complex, chemically reacting systems. It has been extensively validated in numerous chemistry applications and is well known for its extremely fast simulation time. Today’s energy standards call for high yields, efficiency and quality with minimal byproduct or waste. Ansys Chemkin-Pro is a chemical kinetics simulator that models idealized reacting flows and provides insight into results before production testing. Relying on testing alone for verifying chemical processes is prohibitive, given today’s shortened design cycles. Effective simulation is critical for cost-effective designs and gets your product to market faster. Mitsuo Koshi is a world-renowned chemical kineticist who also happens to be an avid fireworks fan. He is responsible for judging prestigious fireworks competitions across Japan. Every year, firework displays become grander and more fantastic, but this is paired with increased emissions.

Entry Point AI is the modern AI optimization platform for proprietary and open source language models. Manage prompts, fine-tunes, and evals all in one place. When you reach the limits of prompt engineering, it’s time to fine-tune a model, and we make it easy. Fine-tuning is showing a model how to behave, not telling. It works together with prompt engineering and retrieval-augmented generation (RAG) to leverage the full potential of AI models. Fine-tuning can help you to get better quality from your prompts. Think of it like an upgrade to few-shot learning that bakes the examples into the model itself. For simpler tasks, you can train a lighter model to perform at or above the level of a higher-quality model, greatly reducing latency and cost. Train your model not to respond in certain ways to users, for safety, to protect your brand, and to get the formatting right. Cover edge cases and steer model behavior by adding examples to your dataset.

Klu.ai is a Generative AI platform that simplifies the process of designing, deploying, and optimizing AI applications. Klu integrates with your preferred Large Language Models, incorporating data from varied sources, giving your applications unique context. Klu accelerates building applications using language models like Anthropic Claude, Azure OpenAI, GPT-4, and over 15 other models, allowing rapid prompt/model experimentation, data gathering and user feedback, and model fine-tuning while cost-effectively optimizing performance. Ship prompt generations, chat experiences, workflows, and autonomous workers in minutes. Klu provides SDKs and an API-first approach for all capabilities to enable developer productivity. Klu automatically provides abstractions for common LLM/GenAI use cases, including: LLM connectors, vector storage and retrieval, prompt templates, observability, and evaluation/testing tooling.

Build and optimize text and image AI for your needs, train, fine-tune, and generate from your data. We use best-in-class open source models for image and language generation and can train them in minutes thanks to LoRA fine-tuning. Click the share button to create a link to your session, or create a bot. Optionally deploy to your own fully private infrastructure. You can start chatting with open source language models and generating images with Stable Diffusion XL by creating a free account right now. Fine-tuning your model on your own text or image data is as simple as drag’n’drop, and takes 3-10 minutes. You can then chat with and generate images from those fine-tuned models straight away, all using a familiar chat interface.

No one wants their AI to respond with out-of-date information to a customer. ‍Neum AI helps companies have accurate and up-to-date context in their AI applications. Use built-in connectors for data sources like Amazon S3 and Azure Blob Storage, vector stores like Pinecone and Weaviate to set up your data pipelines in minutes. Supercharge your data pipeline by transforming and embedding your data with built-in connectors for embedding models like OpenAI and Replicate, and serverless functions like Azure Functions and AWS Lambda. Leverage role-based access controls to make sure only the right people can access specific vectors. Bring your own embedding models, vector stores and sources. Ask us about how you can even run Neum AI in your own cloud.

AIxBlock is a blockchain-based end-to-end platform for AI, harnessing unused computing resources from BTC miners and all idle global consumer GPUs. Our platform's core training method is a hybrid distributed machine learning approach, enabling simultaneous training across multiple nodes. We employ the DeepSpeed-TED algorithm, an innovative three-dimensional hybrid parallel algorithm that integrates data, tensor, and expert parallelism. This facilitates the training of Mixture of Experts (MoE) models on base models 4 to 8 times larger than those supported by the current state-of-the-art. The platform will seamlessly identify and add new compatible computing resources available in the computing marketplace to your existing training nodes cluster, and distribute the current ML model to be trained on unlimited computes. This process dynamically and automatically unfolds, culminating in the creation of decentralized supercomputers that facilitate AI success.

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.

Boost your productivity and create more inspired content with generative AI that is bounded and grounded by the highest industry standards and intelligence. Rate content for reliability, reveal political lean, and align with your brand’s safety themes. Our AI models are rigorously tested and reviewed by leading experts and data scientists to train our dataset exclusively with the web’s most trustworthy content. Leverage the industry’s most trustworthy large language model (LLM) to create new content fast, accurately, and at low cost. Speed up processes and drive better business outcomes with a suite of AI tools built to reduce costs and skyrocket results.

Use BenchLLM to evaluate your code on the fly. Build test suites for your models and generate quality reports. Choose between automated, interactive or custom evaluation strategies. We are a team of engineers who love building AI products. We don't want to compromise between the power and flexibility of AI and predictable results. We have built the open and flexible LLM evaluation tool that we have always wished we had. Run and evaluate models with simple and elegant CLI commands. Use the CLI as a testing tool for your CI/CD pipeline. Monitor models performance and detect regressions in production. Test your code on the fly. BenchLLM supports OpenAI, Langchain, and any other API out of the box. Use multiple evaluation strategies and visualize insightful reports.

Enable observability to detect data and ML issues faster, deliver continuous improvements, and avoid costly incidents. Start with reliable data. Continuously monitor any data-in-motion for data quality issues. Pinpoint data and model drift. Identify training-serving skew and proactively retrain. Detect model accuracy degradation by continuously monitoring key performance metrics. Identify risky behavior in generative AI applications and prevent data leakage. Protect your generative AI applications are safe from malicious actions. Improve AI applications through user feedback, monitoring, and cross-team collaboration. Integrate in minutes with purpose-built agents that analyze raw data without moving or duplicating it, ensuring privacy and security. Onboard the WhyLabs SaaS Platform for any use cases using the proprietary privacy-preserving integration. Security approved for healthcare and banks.

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.

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.

Watsonx is our upcoming enterprise-ready AI and data platform designed to multiply the impact of AI across your business. The platform comprises three powerful components: the watsonx.ai studio for new foundation models, generative AI and machine learning; the watsonx.data fit-for-purpose store for the flexibility of a data lake and the performance of a data warehouse; plus the watsonx.governance toolkit, to enable AI workflows that are built with responsibility, transparency and explainability. Watsonx is our enterprise-ready AI and data platform designed to multiply the impact of AI across your business. The platform comprises three powerful products: the watsonx.ai studio for new foundation models, generative AI and machine learning; the watsonx.data fit-for-purpose data store, built on an open lakehouse architecture; and the watsonx.governance toolkit, to accelerate AI workflows that are built with responsibility, transparency and explainability.

Deploy LLMs and other AI — commercial, homegrown or open-source — on your private network, based on an AI-optimized data foundation. AI Core is a real-time, full-fidelity representation of your business that includes all actions, decisions, and processes. Utilize the Action Graph, atop the AI Core, to set specific scopes of activity for LLMs and other models – including hand-off procedures for auditable calculations and human-in-the-loop operations. Monitor and control LLM activity and reach in real-time to help users promote compliance with legal, data sensitivity, and regulatory audit requirements.

Reshape how everyone accesses, manages, and acts on data and insights by connecting every data source and analytics service together—on a single, AI-powered platform. All your data. All your teams. All in one place. Establish an open and lake-centric hub that helps data engineers connect and curate data from different sources—eliminating sprawl and creating custom views for everyone. Accelerate analysis by developing AI models on a single foundation without data movement—reducing the time data scientists need to deliver value. Innovate faster by helping every person in your organization act on insights from within Microsoft 365 apps, such as Microsoft Excel and Microsoft Teams. Responsibly connect people and data using an open and scalable solution that gives data stewards additional control with built-in security, governance, and compliance.

The easiest & fastest way to integrate GPT into your apps & workflows. Make your SaaS & mobile apps stand out with the power of GPT, Develop, test, manage, and improve all your prompts in one place. Then integrate with one simple API call, no matter which provider. Gain new users for your SaaS app, and wow existing ones by adding powerful GPT features like text generation, information extraction, etc. Be ready for production in less than a day thanks to Promptitude. Creating perfect, powerful GPT prompts is a work of art. With Promptitude, you can finally develop, test, and manage all your prompts in one place. And with a built-in end-user rating, improving your prompts is a breeze. Make your hosted GPT and NLP APIs available to a wide audience of SaaS & software developers. Boost API usage by empowering your users with easy-to-use prompt management by Promptitude. You can even mix and match different AI providers and models, saving costs by picking the smallest sufficient model.

Wordware enables anyone to develop, iterate, and deploy useful AI agents. Wordware combines the best aspects of software with the power of natural language. Remove constraints of traditional no-code tools and empower every team member to iterate independently. Natural language programming is here to stay. Wordware frees prompt from your codebase by providing both technical and non-technical users with a powerful IDE for AI agent creation. Experience the simplicity and flexibility of our interface. Empower your team to easily collaborate, manage prompts, and streamline workflows with an intuitive design. Loops, branching, structured generation, version control, and type safety help you get the most out of LLMs, while custom code execution allows you to connect to virtually any API. Easily switch between various large language model providers with one click. Optimize your workflows with the best cost-to-latency-to-quality ratios for your application.

Release high-quality LLM apps quickly without compromising on testing. Never be held back by the complex and subjective nature of LLM interactions. Generative AI produces subjective results. Knowing whether a generated text is good usually requires manual labor by a subject matter expert. If you’re working on an LLM app, you probably know that you can’t release it without addressing countless constraints and edge-cases. Hallucinations, incorrect answers, bias, deviation from policy, harmful content, and more need to be detected, explored, and mitigated before and after your app is live. Deepchecks’ solution enables you to automate the evaluation process, getting “estimated annotations” that you only override when you have to. Used by 1000+ companies, and integrated into 300+ open source projects, the core behind our LLM product is widely tested and robust. Validate machine learning models and data with minimal effort, in both the research and the production phases.

Minerva is our proprietary AI platform that we use internally to build AI applications that perform real-world tasks requiring human-level understanding and explainability. As Minerva’s reach grows through the deployment of domain-specific AI applications, Minerva compounds knowledge, performs increasingly general tasks and connects interdisciplinary dots humans cannot. We use these powerful components to build our scalable AI applications such as Argus and Supernova. Use Minerva to build your own AI workforce and transcend information complexity to make more accurate mission-critical decisions at lightning speed. Minerva enables natural user interaction with various dashboards and APIs for consuming insight, providing feedback and securely integrating Accrete’s AI applications into existing enterprise workflows.

Everything you need to transform your ideas into AI apps in minutes. Anyone can create next-generation AI-powered apps in 10 minutes, from professional developers to business users, using our no-code/low-code platform. Seamlessly integrate APIs like ChatGPT, Dalle-2, and Codex from Open AI, and even use custom ML models. Build custom admin client and CRUD functionalities to effectively manage sales, inventory, contracts, and more. Create dynamic dashboards that transform data into actionable insights and fuel innovation for your business. Easily create a chatbot to improve customer support and create a true omnichannel experience with multiple integrations. An all-in-one cloud platform combines low-code/no-code tools with edge technologies to make your web application scalable, secure, and easy to manage. Transform your software development process with our no-code/low-code platform, perfect for both business users and professional developers alike.

Make AI a trusted part of your business. Build better, deploy faster, and audit easily with the flexibility of a cloud-native platform and the power to deploy anywhere. Easily import models and search cataloged models from across your organization. Save time by annotating data rapidly with model-in-the-loop hinting. Understand the full provenance of your data, models, workflows, and inferences. Deploy models where you need them, including for edge and IoT use cases. Getting valuable insights from your data is not just for data scientists. With Chariot’s low-code interface, meaningful collaboration can take place across teams. Train models rapidly using your organization's production data. Deploy models with one click and monitor models in production at scale.