Top Model Share Alternatives

Google Cloud Platform

google.com

Google Cloud Platform (GCP), offered by Google, is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search, Gmail, file storage, and YouTube. Alongside a set of management tools, it provides a series of modular cloud services including computing, data storage, data analytics and machine learning. Registration requires a credit card or bank account details.Google Cloud Platform provides infrastructure as a service, platform as a service, and serverless computing environments. In April 2008, Google announced App Engine, a platform for developing and hosting web applications in Google-managed data centers, which was the first cloud computing service from the company. The service became generally available in November 2011. Since the announcement of the App Engine, Google added multiple cloud services to the platform. Google Cloud Platform is a part of Google Cloud, which includes the Google Cloud Platform public cloud infrastructure, as well as G Suite, enterprise versions of Android and Chrome OS, and application programming interfaces (APIs) for machine learning and enterprise mapping services.

Microsoft Fabric

microsoft.com

Bring your data into the era of AI. 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.

Databricks

databricks.com

Databricks is a company founded by the original creators of Apache Spark. Databricks grew out of the AMPLab project at University of California, Berkeley that was involved in making Apache Spark, an open-source distributed computing framework built atop Scala. Databricks develops a web-based platform for working with Spark, that provides automated cluster management and IPython-style notebooks. In addition to building the Databricks platform, the company is co-organizing massive open online courses about Spark and runs the largest conference about Spark - Spark Summit.

Labelbox

labelbox.com

Labelbox is a data-centric AI platform that allows users to build and utilize AI applications. The platform provides the ability to train and fine-tune models, as well as automate tasks using LLMs (Labelbox Machine Learning Models). In terms of functionality, Labelbox utilizes cookies to enhance the user experience, analyze site traffic, assist in marketing efforts, and understand how users interact with the platform. Necessary cookies are used for basic function such as page navigation and access to secure areas. Preferences cookies enable the platform to remember user-specific information, such as preferred language or region. Labelbox also employs statistic cookies, which help website owners gather information on how visitors interact with the platform. These statistics are collected and reported anonymously. Furthermore, Labelbox uses various providers' cookies to optimize specific features and functionalities. These providers include Intercom, LinkedIn, YouTube, ZoomInfo, Cloudflare, Bizible, Cookiebot, and Heap Analytics. Each provider's cookies serve different purposes, such as recognizing visitors, managing support notifications, load balancing, and allowing visitors to log in through third-party applications. Overall, Labelbox's AI platform offers users the ability to build AI applications, train and fine-tune models, and automate tasks using LLMs. The platform utilizes cookies and statistics to enhance the user experience and understand visitor interaction. The integration of various third-party providers' cookies ensures optimized functionality for different aspects of the platform.

Scale AI

scale.com

Make the best models with the best data. Scale Data Engine powers nearly every major foundation model, and with Scale GenAI Platform, leverages your enterprise data to unlock the value of AI. Trusted by world class companies, Scale delivers high quality training data for AI applications such as self-driving cars, mapping, AR/VR, robotics, and more.

Replicate

replicate.com

Run AI with an API. Run and fine-tune open-source models. Deploy custom models at scale. All with one line of code.

SAP

sap.com

SAP is the leading enterprise application and business AI company. They stand at the intersection of business and technology, where their innovations are designed to directly address real business challenges and produce real-world impacts. Their solutions are the backbone for the world’s most complex and demanding processes. SAP’s integrated portfolio unites the elements of modern organizations — from workforce and financials to customers and supply chains — into a unified ecosystem that drives progress.

v7labs.com

V7 is an AI data engine designed for computer vision and generative AI applications. The platform provides an infrastructure for enterprise training data that includes labeling, workflows, datasets, and has a feature for human-in-the-loop training. It offers multiple annotation properties to improve the quality of data for AI models. With features like auto annotation, DICOM annotation for medical imaging, dataset management, and model management, V7 automates and streamlines various tasks. Its image and video annotation tools are designed to improve the precision of data labelling. Additionally, it enables the building and automation of custom data pipelines and has tools for automating optical character recognition (OCR) and intelligent document processing (IDP) workflows.V7 allows users to outsource annotation tasks. It can be used across various industries such as agriculture, automotive, construction, energy, food & beverage, healthcare, and more. It offers collaboration features for real-time team annotation and provides labeler and model performance analytics.Further, V7 also facilitates annotation and model training workflows to be more efficient through an intuitive user interface. With its enhanced AutoAnnotate feature, it accelerates the speed and accuracy of annotations. The platform integrates with AWS, Databricks, and Voxel51, among others, and supports a range of data types including video, image, and text data.

neptune.ai

Log, organize, compare, register, and share all your ML model metadata in a single place. - Automate and standardize as your modeling team grows - Collaborate on models and results with your team and across the org - Use hosted, deploy on-premises or in a private cloud. Integrate with any MLOps stack

Kili Technology

kili-technology.com

Build high-quality datasets, fast. Enterprises trust us to streamline their data labeling ops and build the best datasets for their custom models, generative AI, and LLMs ___ Why Kili Technology? You might not know this, but: MNIST’s dataset has an error rate of 3.4% and is still cited by more than 38,000 papers. The ImageNet dataset, with its crowdsourced labels, has an error rate of 6%. This dataset arguably underpins the most popular image recognition systems developed by Google and Facebook. Systemic error in these datasets has real-world consequences. Models trained on error-containing data are forced to learn those errors, leading to false predictions or a need of retraining on ever-increasing amounts of data to “wash out” the errors. Every industry has begun to understand the transformative potential of AI and invest. But the revolution of ML transformers and relentless focus on ML model optimization is reaching the point of diminishing returns. What else is there?

CoreWeave

coreweave.com

CoreWeave is a specialized cloud provider, delivering a massive scale of GPU compute resources on top of the industry’s fastest and most flexible infrastructure. An NVIDIA Elite Cloud Solutions Provider for Compute and Visualization, CoreWeave builds cloud solutions for compute intensive use cases - VFX and Rendering, Machine Learning and AI, Batch Processing, and Pixel Streaming - that are up to 35x faster and 80% less expensive than the large, generalized public clouds.

SuperAnnotate

superannotate.com

SuperAnnotate is the leading platform for building, fine-tuning, iterating, and managing your AI models faster with the highest-quality training data. With advanced annotation and QA tools, data curation, automation features, native integrations, and data governance, we enable enterprises to build datasets and successful ML pipelines. Partner with SuperAnnotate’s expert and professionally managed annotation workforce that can help you quickly deliver high-quality data for building top-performing models.

SAS

sas.com

Get more done with faster, more productive AI and analytics from the most trusted analytics partner on the planet. Produce answers as fast as the world produces data with SAS. With over forty years of analytics innovation, SAS has been giving customers around the world THE POWER TO KNOW®.

Labellerr

labellerr.com

Labellerr is only training data platform with Smart Feedback Loop. Our technology helps AI-first organizations developing computer vision AI to bring automation in their data pipeline. Our saas platform solves challenges for ML scientists who need faster, convenient and iterative access to training data in a secure manner to train their computer vision/unstructured data AI models. We strive to provide services with a "make it happen" attitude. Our focus industries include healthcare, autonomous vehicle, smart cities, retail and manufacturing.

Saturn Cloud

saturncloud.io

Saturn Cloud is an award-winning ML platform for any cloud with 100,000+ users, including NVIDIA, CFA Institute, Snowflake, Flatiron School, Nestle, and more. It is an all-in-one solution for data science & ML development, deployment, and data pipelines in the cloud. Users can spin up a notebook with 4TB of RAM, add a GPU, connect to a distributed cluster of workers, build large language models, and more in a completely hosted environment. Data scientists and analysts work best using the tools they want to use. You can use your preferred languages, IDEs, and machine-learning libraries in Saturn Cloud. We offer full Git integration, shared custom images, and secure credential storage, making scaling and building your team in the cloud easy. We support the entire machine learning lifecycle from experimentation to production with features like jobs and deployments. These features and built-in tools are easily shareable within teams, so time is saved and work is reproducible. Saturn Cloud is available on multiple clouds: AWS, Azure, GCP, and OCI. Contact us today for a free demo.

Katonic.ai

katonic.ai

Build powerful AI Applications in minutes on the no-code Katonic Generative AI Platform. Boost your and your employees' productivity, enhance customer experience and do things only large enterprises could do, all with the power of Generative AI. * No coding skills required. * Enterprise grade security. * 50+ LLMs to choose from * Trained on your own data, with your own guardrails.

Weights & Biases

wandb.ai

Weights & Biases: The AI developer platform. Track everything you need to make your models reproducible with Weights & Biases— from hyperparameters and code to model weights and dataset versions. Weights & Biases helps your ML team unlock their productivity by optimizing, visualizing, collaborating on, and standardizing their model and data pipelines – regardless of framework, environment, or workflow. Used by ML engineers at OpenAI, Lyft, Pfizer, Qualcomm, NVIDIA, Toyota, GitHub, and MILA, W&B is part of the new standard of best practices for machine learning. W&B is free for personal use and academic projects, and it's easy to get started.

Encord

encord.com

Encord is the end-to-end platform to unlock AI from your data. Safely develop, test and deploy predictive and generative AI systems at scale to unlock the value of machine learning. Create high quality training data, leverage active learning pipelines, assess model quality, fine tune models and more all in one, easy to use platform. * Annotate - Efficiently label any visual modality and manage large-scale annotation teams with customizable workflows and quality control tools. * Active - Test, validate, and evaluate your models and surface, curate, and prioritize the most valuable data for labeling to supercharge model performance. * Apollo - Train, fine-tune, and manage proprietary and foundation models at scale for production AI applications. * Accelerate - On-demand, specialized labeling services to help you scale. Encord is trusted by pioneering AI teams at RapidAI, Tractable, Stanford Medicine, Memorial, King’s College London, the NHS, the UHN, the Royal Navy, Veo, and many more global companies.

hasty.ai

Hasty is now a part of CloudFactory, a global leader in human-in-the-loop AI solutions that accelerate the AI lifecycle. No more sacrificing quality for efficiency. Learn more about Accelerated Annotation, a new Vision AI product that combines CloudFactory’s best-in-class workforce with industry-leading AI-assisted labeling technology that generates high-quality labeled data 5x faster than manual labeling. The Hasty platform provides everything needed to go from raw images and videos to production-ready models.

Dataloop

dataloop.ai

Dataloop is a cutting-edge AI Development Platform that's transforming the way organizations build AI applications. Dataloop's platform is meticulously crafted to cater to developers at the heart of the AI development process, making it simpler and more intuitive to work with data and AI models. Dataloop's comprehensive solution spans the full AI development lifecycle, offering tools and functionalities that streamline data management, annotation, model selection, and deployment. Dataloop's platform is built with a focus on collaboration, allowing developers, data scientists, and engineers to work together seamlessly, breaking down traditional silos and fostering innovation. Key features include an intuitive drag-and-drop interface for constructing data pipelines, a vast library of pre-built AI elements and models, and robust data curation and annotation capabilities. These features are designed to empower developers to rapidly prototype, iterate, and deploy AI solutions, keeping pace with the fast-evolving demands of the market. Dataloop is committed to advancing AI development by providing a developer-centric platform that addresses the complexities and challenges of AI and data management. Dataloop's vision is to democratize AI development, enabling every organization to harness the power of AI and drive forward their innovative solutions.

VESSL AI

vessl.ai

Build, train, and deploy models faster at scale with fully managed infrastructure, tools, and workflows.

Comet

comet.com

Comet is a meta machine learning platform designed to help AI practitioners and teams build reliable machine learning models for real-world applications by streamlining and connecting the machine learning model lifecycle. By leveraging Comet, users can employ machine learning experiment tracking to track, compare, explain and reproduce their models. Backed by thousands of users and multiple Fortune 100 companies, Comet provides insights and data to build better, more accurate AI models while improving productivity, collaboration and visibility across teams.

Openlayer

openlayer.com

Openlayer is an evaluation workspace for AI. Startups and Fortune 500s alike use Openlayer to run tests, track and version models, and monitor production requests. The most advanced platform for building high-quality, trustworthy models from the ground up.

Verta

verta.ai

Verta is a Palo Alto-based startup building software infrastructure to help enterprise data science and machine learning (ML) teams rapidly develop and deploy ML models. The Verta platform builds upon pioneering research at MIT CSAIL on ModelDB, the first open-source model management system, currently used at Fortune 500 companies. Verta’s technology extends ModelDB to support the entire modeling lifecycle including model training, deployment, and governance.

Bria

bria.ai

BRIA.ai is a Visual Generative AI platform known for its proprietary Generative AI technology. It helps in creating customized visual content at scale. The platform is designed for diverse applications, including usage by artists and start-ups. The platform has been built with a focus on responsible innovation that promotes a sustainable, fair, and legal creative ecosystem through ethical and responsible AI practices. It uses a 100% licensed, certified dataset to ensure protection against copyright, trademark, and privacy issues. It also features a patented attribution engine that compensates creators, fostering a safe, commercial environment.BRIA.ai offers AI foundation models for building unique visual Gen AI capabilities and service tools for model inference, evaluation, optimization, and fine-tuning. Users can generate and modify visuals using a comprehensive API suite and personalize on-brand content through fine-tuning data capabilities. It features an IFRAME / SDK for quick integration of Gen AI to enhance user experiences and expedite market entry without development effort. BRIA.ai also provides a web application to experiment with its Visual Generative AI capabilities.BRIA.ai ensures its models are trained exclusively on licensed and safe-to-use data, ensuring no copyright infringement or harmful content, and ensuring diversity, fairness, and unbiasedness. The platform is designed for commercial use and is built to address diverse business challenges with unmatched flexibility. It allows teams to independently utilize its Foundation Models and APIs in a versatile manner suited to their specific needs.

OctoAI

octo.ai

OctoAI delivers infrastructure to run, tune, and scale generative AI applications. OctoAI makes models work for you, not the other way around. Developers get easy access to efficient AI infrastructure so they can run the models they choose, tune them for their specific use case, and scale from dev to production seamlessly. With the fastest foundation models on the market (including Llama-2, Stable Diffusion, and SDXL), integrated customization solutions, and world-class ML systems under the hood, developers can focus on building apps that wow their customers without becoming AI infrastructure experts. Backed by leading venture capital firms, the company is headquartered in Seattle, WA. OctoAI is founded and led by the creators Apache TVM, an open-source ML stack for model performance and portability.

Kognic

kognic.com

Kognic | Best-in-class sensor fusion solution for ADAS/AD. The dataset management platform helping global enterprises assemble efficient ground-truth data pipelines for sensor-fusion. Kognic provides the data platform accelerating machine learning for performance-critical applications. Our proven MLOps tools empower engineers and product teams to develop, test and deploy ADAS/AD systems in measurable and cost-efficient ways.

Robust Intelligence

robustintelligence.com

Robust Intelligence enables enterprises to secure their AI transformation with an automated solution to protect against security and safety threats. Robust Intelligence's platform includes an engine for detecting and assessing model vulnerabilities, as well as recommending and enforcing the necessary guardrails to mitigate threats to AI applications in production. This enables companies to meet AI safety and security standards with a single integration, automatically working in the background to protect applications from development to production. Robust Intelligence is backed by Sequoia Capital and Tiger Global, and trusted by leading companies including ADP, JPMorgan Chase, Expedia, Deloitte, Cisco, and the U.S. Department of Defense to unblock the enterprise AI mission.

UbiOps

ubiops.com

Turn your local analytics scripts into powerful data-driven applications! UbiOps is an easy-to-use deployment and serving layer for your data science, AI & ML code. It turns your Python & R models and scripts into live web services, allowing you to use them from anywhere at any time. From simple data processing functions to complex machine learning (ML) & AI pipelines. With UbiOps you can easily run them behind your own applications, websites or inside your data/IT infrastructure. Without having to worry about security, reliability or scalability. UbiOps reduces development costs significantly, increases productivity of your data science team and decreases your time to market. UbiOps can be used as a Software-as-a-Service (SaaS) or installed in your own (cloud) environment. You can use UbiOps from our WebApp, or work with our Command Line Interface or our Python/R client for integrations. Offering maximum flexibility to fit it in your existing data science stack and processes.

Kolena

kolena.com

Kolena is an ML testing platform that allows ML teams to rigorously test their model behavior. With Kolena, ML teams can identify and track failure modes to help engineering, leadership, and customers better understand model performance and identify gaps.