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Top MLOps Platforms - United States
To be considered for the MLOps Platforms category, a product should meet the following criteria: * Platform for Monitoring and Management: The product must provide a comprehensive platform for monitoring and managing machine learning models. This includes features for tracking model versions, monitoring performance metrics, and managing model lifecycles. * Integration into Business Applications: It should allow users to seamlessly integrate machine learning models into various business applications across the company. This integration capability ensures that models can be effectively deployed and utilized within the existing infrastructure. * Health and Performance Tracking: The product must enable users to track the health and performance of deployed machine learning models in real-time. This involves monitoring key indicators such as accuracy, latency, resource utilization, and model drift to ensure optimal performance. * Holistic Management Tool: It should provide a holistic management tool that offers insights into all models deployed across the business. This includes features for model governance, compliance monitoring, and centralized visibility into the entire model ecosystem. Meeting these criteria ensures that the product offers robust capabilities for managing machine learning operations effectively within an organization.
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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.
neptune.ai
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
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.
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.
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®.
Model Share
modelshare.ai
The Model Share AI MLOps platform is a dynamic hub for machine learning innovation. It allows data science and machine learning engineers to easily manage ML projects from start to finish. You can improve models, track progress with rich ML analytics and reporting tools, and deploy models instantly. At Model Share AI, we are also building the biggest database of reusable ML models in the world, users can build data science portfolios, generate and share reproducible models and reusable code.
V7
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.
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.
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.
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.
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.
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.
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.
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?
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.
hasty.ai
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.
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.
Datature
datature.io
Datature is an all-in-one vision AI platform designed to streamline the processes involved in managing datasets, annotating, training, and deploying computer vision models. Suitable for enterprises, high-growth companies, early-stage startups, researchers and academia, this tool does not require coding skills. Datature supports customised integrations and offers advanced security measures. Its 'Nexus' allows for collaboration, annotation, training, and deployment of multiple computer vision models on a single platform. Features like 'IntelliBrush' ease the process of creating annotations, while 'Portal' facilitates visualisation of computer vision models. The platform is compatible with all Model Formats and plugs seamlessly into the 'Nexus', with an added benefit of having a rich open-source community supporting it. Demonstrating industry-tested algorithms and market-validated insights, Datature offers a range of solutions suitable for sectors as diverse as pharmaceutical & healthcare, retail & e-commerce, smart city, utilities & energy, agriculture, and manufacturing & construction. It features a resources section providing a variety of materials, from glossaries and documentation to tutorials and articles highlighting best industry practices and trend developments in AI.
Mona
monalabs.io
Mona's intelligent monitoring solution enables teams to gain complete visibility into the performance of your data, models and processes. Automatically surface and resolve performance issues within your AI / ML or intelligent automation processes to avoid negative impacts to both your business and customers.
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.
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.
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.
Rasgo
rasgoml.com
Rasgo brings the power of GPT to your enterprise data warehouse. Our GPT-orchestrated agents develop analytical strategies to discover insights and contextualize your enterprise data by identifying key facts, outliers, and important trends - all without a human in the loop. Business users can ask questions about enterprise data using natural language, which is always converted to an auditable SQL query, so your data team spends less time servicing ad-hoc analytical requests. Our GPT-powered AI agents provide your data team with a co-pilot that can automatically build a semantic layer from your enterprise data warehouse schema and be taught to remember key data metrics and definitions.
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.
Deeploy
deeploy.ml
Deeploy provides organizations with high-risk AI use cases a Responsible AI platform and creates the opportunity to implement explainable, accountable, and manageable Machine Learning models while enabling interaction between humans and AI. Setting the technical foundation for Responsible Machine Learning, connecting creators and consumers.
Faros AI
faros.ai
Faros AI is your Infrastructure for Engineering Operations - Single pane view across velocity, quality, goals, and more! Faros integrates all your engineering data sources to give you holistic visibility into the entire software development lifecycle. It takes the guesswork out of planning so that you can make decisions, allocate resources and improve productivity based on actual data. Adding a new data source is as simple as flipping a switch, even if it is a homegrown system.
Hopsworks
hopsworks.ai
Hopsworks is a collaborative ML platform with highest performance Feature Store for batch and real-time data. Built around the industry's most advanced and modular feature store that provides seamless integration for existing pipelines and helps bring models to production faster. What and why? A feature store is a platform for managing features when building and deploying machine learning models. A Feature Store, like Hopsworks, is used for faster iteration and faster deployment of models to production. It is beneficial for scaling and moving real-time machine learning use cases with more ease as well as increasing productivity for data and AI teams. Integration As an open and modular platform, Hopsworks integrates with all major tools in the Data Science ecosystem and can be deployed on all cloud platforms as a managed solution. Hopsworks is a Python-Centric platform, your existing python code and pipeline can be seamlessly used with Hopsworks and on our enterprise solution you can install your own libraries or any framework you wish and work on a local jupyter environment.
VESSL AI
vessl.ai
Build, train, and deploy models faster at scale with fully managed infrastructure, tools, and workflows.
TruEra
truera.com
TruEra provides AI Quality solutions to help enterprises analyze machine learning, improve model quality and build trust. Powered by enterprise-class Artificial Intelligence (AI) Explainability technology based on six years of research at Carnegie Mellon University, TruEra’s suite of AI Quality solutions help eliminate the black box surrounding widely used AI and ML technologies. This visibility leads to higher quality, explainable models that achieve measurable business results, address unfair bias, and ensure governance and compliance.
Picsellia
picsellia.com
Picsellia provides an entire AI development stack optimized for images: it covers every step needed to deploy a Computer vision model in production. Users can structure, operate, and improve their AI models directly on the platform. Picsellia's Key Features: * Data Management: Store, search, filter, and annotate your data in one single place. Picsellia’s centralized and intuitive labeling inter-face lets your teams annotate simultaneously. * Experiment Tracking: Track and compare your experiments and find your best-performing model. Once that's done, Picsellia will help you find the best hyperparameter combination to optimize your model performance. * Processings: Perform tasks such as Data Augmentation directly on the platform. Automate your processes and launch them at the time you want and on the data you want. * Model Deployment: Deploy your models in production in just one minute, with or without a server. You will have a scalable and serverless API endpoint! * Model Monitoring: Monitor your model performance in real-time. Identify and fix potential failure cases, before your clients experience them. Set up alerts. * Automated Pipelines: Turn your CV lifecycle into a workflow. Directly visualize and review your predictions to improve your training data and boost your models' efficiency. Picsellia is designed to be as extensible as it can be, our customers are not stuck with our products as we provide an open environment. It promotes collaboration, reduces failure rates, and scales with your business.
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.
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.
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.
Imandra
imandra.ai
Imandra is a cloud-native automated reasoning engine for analysis of algorithms bringing unprecedented rigor and automation to algorithm design and governance.
Modular
modular.com
The next-generation AI developer platform unifying the development and deployment of AI for the world.
Superwise
superwise.ai
As more businesses rely on AI models to boost their impact and their bottom-line, the need for managing, monitoring and optimizing the real-life behaviour of these models grows. Superwise.ai is the company that monitors and assures the health of AI models in production. Already used by top-tier organizations, Superwise.ai monitors millions of predictions daily to eliminate the risks derived by these models’ black-box nature: bad decisions, unwanted bias, and compliance issues. Their AI assurance solution acts as the one source of truth for all the stakeholders, and empowers data science and operational teams with the right insights to scale their use of AI by becoming more independent, agile, and gain confidence in their models’ operations. Implemented use cases include Customer Lifetime Value (CLV) predictions, fraud detection, lead scoring, underwriting, credit risk, and more. Recognized for its innovative technology and approach, Gartner recently named superwise as a 2020 Cool Vendor in Enterprise AI Governance.
Tenyks
tenyks.ai
Tenyks is a University of Cambridge spin-out inventing the way humanity interacts with AI to protect and delight. To protect the world from the misuse of AI, but also to ensure that AI is developed with passion, excitement, and joy! We are building an MLOps monitoring and validation platform that helps AI developers working with computer vision data to build more reliable software faster. Specifically, our platform helps ML developers understand what's wrong with their software and fix it. At Tenyks we set our goals ridiculously high and stick together to go further than anything previously imaginable. We start small, work hard, and deliver fast, embracing the inevitable obstacles with open hearts because challenges fuel our burning desire for learning. Tenyksians make no distinction between work and play. We simply pursue our vision of excellence, leaving others to decide whether we are working or playing.
Portkey
portkey.ai
Portkey is the essential control panel for AI-powered applications, trusted by thousands of dev teams worldwide. Our comprehensive suite includes: - AI Gateway: Seamlessly manage and route your AI requests - Guardrails: Ensure reliability and security in your AI operations - Observability Suite: Gain deep insights into your AI app performance - Prompt Management: Create, manage, version, and deploy prompts with ease across all AI providers. Improve your AI app development process with Portkey's reliable and cost-effective solution, designed for speed and performance.
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.
ZenML
zenml.io
ZenML is an extensible, open-source MLOps framework for creating portable, production-ready MLOps pipelines. It's built for data scientists, ML Engineers, and MLOps Developers to collaborate as they develop to production. ZenML has simple, flexible syntax, is cloud- and tool-agnostic, and has interfaces/abstractions that are catered towards ML workflows. ZenML brings together all your favorite tools in one place so you can tailor your workflow to cater to your needs.
Credo.ai
credo.ai
Credo AI is on a mission to empower enterprises to responsibly build, adopt, procure, and use AI at scale. Credo AI’s cutting-edge AI governance platform automates AI oversight and risk management while enabling regulatory compliance to emerging global standards like the EU AI Act, NIST, and ISO. Credo AI keeps humans in control of AI for better business and society.
Gurobi
gurobi.com
Gurobi produces the world’s fastest and most powerful mathematical optimization solver – the Gurobi Optimizer – which is used by leading global companies across more than 40 different industries to rapidly solve their complex, real-world problems and make automated decisions that optimize their efficiency and profitability. As the market leader in mathematical optimization software, we aim to deliver not only the best solver, but also the best support – so that companies can fully leverage the power of mathematical optimization (on its own or in combination with other AI techniques such as machine learning) to drive optimal business decisions and outcomes. Founded in 2008, Gurobi has operations across the USA, Europe, and Asia and more than 2,500 customers globally including SAP. Air France, Uber, and the National Football League (NFL).
Statsig
statsig.com
Statsig is the leading product experimentation platform that helps businesses use data to ship fast and build better products. Companies like Microsoft, Figma, Notion, Flipkart, Eventbrite, Ancestry, Headspace, and Univision use Statsig to manage feature rollouts, automate experiments, and make decisions based on performance metrics. Founded in 2021 by former Facebook engineers, Statsig supports thousands of experiments impacting over a billion end users globally. Statsig democratizes experimentation, an essential aspect of reducing development risk, and previously only accessible to big tech companies.
Modelshop
modelshop.com
Modelshop has all the tools you need to create AI models, all in one platform. Skip the coding step and deliver intelligent solutions faster than previously possible. Analysts, data scientists, and engineers choose Modelshop to rapidly scale their models as software applications. Modelshop empowers domain experts to implement their models into business processes quickly to capitalize on opportunities. Teams are speeding up time to production by empowering subject matter experts, testing as they build, deploying without re-coding, and optimizing over time.
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.
censius
censius.ai
The AI Observability Platform for Enterprise ML Teams. Get end-to-end visibility of your structured and unstructured production models and adopt a proactive approach toward model management to continuously deliver reliable ML.
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.
Veritone
veritone.com
Veritone Attribute is transforming marketing attribution in media broadcasting, using AI-powered technology that delivers near real-time performance metrics for advertisements in all broadcast formats including scheduled and unscheduled spots (live reads, organic mentions promos). Veritone Attribute leverages data from broadcasted ads and correlates them to advertisers’ website analytics. With Attribute, media broadcasters can demonstrate their digital value to broadcast campaigns, resulting in increased advertiser satisfaction and expanded revenue. Fast insights — gather and view rich, robust campaign data in near real-time Flexible setup — customizable to each customer, advertiser and campaign Highly visual — dashboard delivers simple, shareable visualizations of attribution data Learn more at https://www.veritone.com/applications/attribute.
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.
Segments.ai
segments.ai
Multi-sensor labeling platform for robotics and autonomous driving. Segments.ai is a fast and accurate data labeling platform for multi-sensor data annotation. You can obtain segmentation labels, vector labels, and more via the intuitive labeling interfaces for images, videos, and 3D point clouds (lidar and RGBD). Segments.ai is a self-serve platform with dedicated support from our core team of engineers when you need it. * A Python SDK that finally makes sense * Documentation to make the setup feel like a breeze * Self-serve with support only when you are stuck, so we don't slow you down * Automatically trigger actions using webhooks * Connect your cloud provider (AWS, Google Cloud, Azure) * Export to popular ML frameworks (PyTorch, TensorFlow, Hugging Face) Onboard your workforce or use one of our workforce partners. Our management tools make it easy to label and review large datasets together.
Superb AI
superb-ai.com
Superb AI is a leading computer vision platform and professional services provider that provides enterprise-grade, end-to-end MLOps and DataOps workflows to accelerate the adoption and development of data-centric AI. Through the practical application of AI-based automation, Superb AI helps teams manage the entire ML lifecycle more efficiently, from data annotation to curation, model training, and deployment, while ensuring optimal data accuracy and consistency. Used by top ML practitioners, including teams at Samsung, LG, Hyundai, Kakao, and Nippon Steel, Superb AI is on a mission to democratize AI by significantly reducing the time, cost, and effort required to go from proof-of-concept to production.
TrueFoundry
truefoundry.com
TrueFoundry is a Cloud-native PaaS for Machine learning teams to build, deploy and ship ML/LLM Applications on their own cloud/on-prem Infra in a faster, scalable, cost efficient way with the right governance controls, allowing them to achieve 90% faster time to value than other teams. TrueFoundry abstracts out the engineering required and offers GenAI accelerators - LLM PlayGround, LLM Gateway, LLM Deploy, LLM Finetune, RAG Playground and Application Templates that can enable an organisation to speed up the layout of their overall GenAI/LLMOps framework. Enterprises can plug and play these accelerators with their internal systems as well as build on top of our accelerators to enable a LLMOps platform of their choice to the GenAI developers. TrueFoundry is modular and completely API driven, has native integration with popular tools in the market like LangChain, VectorDBs, GuardRails, etc. TrueFoundry works with 25+ Fortune 500 Companies as well as hi-Tech midmarket companies including likes of WadhwaniAI, WhatFix, 2 Fortune 100 healthcare, Games24x7, AvisoAI etc. TrueFoundry is backed by Sequoia, Eniac & Angels like Naval Ravikant, Anthony Goldbloom & 50+ AI & ML leaders from top tech companies, Fortune 500 CXOs and founders at Unicorns like AlphaSense, Innovaccer, WhatFix, Rubrik etc.
Arthur
arthur.ai
Arthur is the AI performance company. We help data scientists, product owners, and business leaders accelerate tabular, NLP and computer vision model operations to optimize for accuracy, explainability, and fairness. * Accuracy: Track model performance to detect and react to data drift and improve model accuracy for better business outcomes. * Explainability: Build trust, ensure compliance, and drive more actionable ML outcomes with Arthur’s explainability and transparency APIs * Fairness: Proactively monitor for bias, track model outcomes against custom bias metrics, and improve the fairness of your models. * Arthur’s research-led approach to product development drives exclusive capabilities in computer vision, NLP, bias mitigation, and other critical areas.
Qwak
qwak.com
Qwak is a fully managed, accessible, and reliable AI Platform that allows AI practitioners to transform and store data, build, train, and deploy their AI applications, and then monitor their entire pipeline, all in a single platform. Qwak's pay-as-you-go pricing model makes it easy to deliver results at scale.
PI.EXCHANGE
pi.exchange
The PI.EXCHANGE AI & Analytics Engine (the Engine) is a Data Science and Machine Learning (ML) platform that empowers everyone, even novice users, to affordably build high-performance ML applications in minutes or hours, not weeks or months - no coding required. The easy-to-use connected toolchain provides everything you will need to go from raw data to predictions and insights within a single pipeline. Manual and repetitive machine learning tasks are automated, and the Engine's intelligent features help guide the user end-to-end. Developing and deploying your ML application is accessible via the Engine's no-code Graphical User Interface (GUI) or via the API and SDK. So, whether you are building a small pilot project with no dedicated data science resources, or are deploying large-scale enterprise ML systems, you can equip your existing team with the right tool to build meaningful solutions, fast. “The power of the Engine isn’t just in its ability to create high-quality predictive models, it’s in its ability to get you up and running and evaluating results in minutes, not weeks."
WhyLabs
whylabs.ai
WhyLabs enables teams to harness the power of AI with precision and control. From Fortune 100 companies to AI-first startups, teams have adopted WhyLabs’ tools to monitor and perform real-time management of ML and generative AI applications. With WhyLabs, teams reduce manual operations by over 80% and cut down time-to-resolution of AI incidents by 20x. WhyLabs AI Control Platform assesses data in real-time from user prompts, RAG context, LLM responses, and application metadata to surface potential threats. With low-latency threat detectors optimized to run directly in the inference environments, WhyLabs maximizes safety without the associated cost, performance, or data privacy concerns.
JFrog
jfrog.com
Deliver Trusted Software with Speed. The only software supply chain platform to give you end-to-end visibility, security, and control for automating the delivery of trusted releases. The massively scalable, hybrid JFrog Platform is open, flexible, and integrated with all the package technologies and tools comprising the software supply chain. Organizations benefit from full traceability to any type of release and deployment environment including ML models, software that runs on the edge, and software deployed in production data centers.