Alternatives to ZenML
Compare ZenML alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to ZenML in 2026. Compare features, ratings, user reviews, pricing, and more from ZenML competitors and alternatives in order to make an informed decision for your business.
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Union Cloud
Union.ai
Union.ai is an award-winning, Flyte-based data and ML orchestrator for scalable, reproducible ML pipelines. With Union.ai, you can write your code locally and easily deploy pipelines to remote Kubernetes clusters. “Flyte’s scalability, data lineage, and caching capabilities enable us to train hundreds of models on petabytes of geospatial data, giving us an edge in our business.” — Arno, CTO at Blackshark.ai “With Flyte, we want to give the power back to biologists. We want to stand up something that they can play around with different parameters for their models because not every … parameter is fixed. We want to make sure we are giving them the power to run the analyses.” — Krishna Yeramsetty, Principal Data Scientist at Infinome “Flyte plays a vital role as a key component of Gojek's ML Platform by providing exactly that." — Pradithya Aria Pura, Principal Engineer at GojStarting Price: Free (Flyte) -
2
Pipeshift
Pipeshift
Pipeshift is a modular orchestration platform designed to facilitate the building, deployment, and scaling of open source AI components, including embeddings, vector databases, large language models, vision models, and audio models, across any cloud environment or on-premises infrastructure. The platform offers end-to-end orchestration, ensuring seamless integration and management of AI workloads, and is 100% cloud-agnostic, providing flexibility in deployment. With enterprise-grade security, Pipeshift addresses the needs of DevOps and MLOps teams aiming to establish production pipelines in-house, moving beyond experimental API providers that may lack privacy considerations. Key features include an enterprise MLOps console for managing various AI workloads such as fine-tuning, distillation, and deployment; multi-cloud orchestration with built-in auto-scalers, load balancers, and schedulers for AI models; and Kubernetes cluster management. -
3
UnionML
Union
Creating ML apps should be simple and frictionless. UnionML is an open-source Python framework built on top of Flyte™, unifying the complex ecosystem of ML tools into a single interface. Combine the tools that you love using a simple, standardized API so you can stop writing so much boilerplate and focus on what matters: the data and the models that learn from them. Fit the rich ecosystem of tools and frameworks into a common protocol for machine learning. Using industry-standard machine learning methods, implement endpoints for fetching data, training models, serving predictions (and much more) to write a complete ML stack in one place. Data science, ML engineering, and MLOps practitioners can all gather around UnionML apps as a way of defining a single source of truth about your ML system’s behavior. -
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ClearML
ClearML
ClearML is the leading open source MLOps and AI platform that helps data science, ML engineering, and DevOps teams easily develop, orchestrate, and automate ML workflows at scale. Our frictionless, unified, end-to-end MLOps suite enables users and customers to focus on developing their ML code and automation. ClearML is used by more than 1,300 enterprise customers to develop a highly repeatable process for their end-to-end AI model lifecycle, from product feature exploration to model deployment and monitoring in production. Use all of our modules for a complete ecosystem or plug in and play with the tools you have. ClearML is trusted by more than 150,000 forward-thinking Data Scientists, Data Engineers, ML Engineers, DevOps, Product Managers and business unit decision makers at leading Fortune 500 companies, enterprises, academia, and innovative start-ups worldwide within industries such as gaming, biotech , defense, healthcare, CPG, retail, financial services, among others.Starting Price: $15 -
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RunLve
RunLve
Runlve sits at the center of the AI revolution. We provide data science tools, MLOps, and data & model management to empower our customers and community with AI capabilities to propel their projects forward.Starting Price: $30 -
6
Azure Machine Learning
Microsoft
Accelerate the end-to-end machine learning lifecycle. Empower developers and data scientists with a wide range of productive experiences for building, training, and deploying machine learning models faster. Accelerate time to market and foster team collaboration with industry-leading MLOps—DevOps for machine learning. Innovate on a secure, trusted platform, designed for responsible ML. Productivity for all skill levels, with code-first and drag-and-drop designer, and automated machine learning. Robust MLOps capabilities that integrate with existing DevOps processes and help manage the complete ML lifecycle. Responsible ML capabilities – understand models with interpretability and fairness, protect data with differential privacy and confidential computing, and control the ML lifecycle with audit trials and datasheets. Best-in-class support for open-source frameworks and languages including MLflow, Kubeflow, ONNX, PyTorch, TensorFlow, Python, and R. -
7
navio
craftworks GmbH
Seamless machine learning model management, deployment, and monitoring for supercharging MLOps for any organization on the best AI platform. Use navio to perform various machine learning operations across an organization's entire artificial intelligence landscape. Take your experiments out of the lab and into production, and integrate machine learning into your workflow for a real, measurable business impact. navio provides various Machine Learning operations (MLOps) to support you during the model development process all the way to running your model in production. Automatically create REST endpoints and keep track of the machines or clients that are interacting with your model. Focus on exploration and training your models to obtain the best possible result and stop wasting time and resources on setting up infrastructure and other peripheral features. Let navio handle all aspects of the product ionization process to go live quickly with your machine learning models. -
8
Datrics
Datrics.ai
The platform enables machine learning for non-practitioners and automates MLOps for professionals within an enterprise. No prior learning needed, just upload your data to datrics.ai to do experiments, prototyping, and self-service analytics faster with template pipelines, create APIs, and forecasting dashboards in a couple of clicks.Starting Price: $50/per month -
9
Amazon SageMaker makes it easy to deploy ML models to make predictions (also known as inference) at the best price-performance for any use case. It provides a broad selection of ML infrastructure and model deployment options to help meet all your ML inference needs. It is a fully managed service and integrates with MLOps tools, so you can scale your model deployment, reduce inference costs, manage models more effectively in production, and reduce operational burden. From low latency (a few milliseconds) and high throughput (hundreds of thousands of requests per second) to long-running inference for use cases such as natural language processing and computer vision, you can use Amazon SageMaker for all your inference needs.
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10
JFrog ML
JFrog
JFrog ML (formerly Qwak) offers an MLOps platform designed to accelerate the development, deployment, and monitoring of machine learning and AI applications at scale. The platform enables organizations to manage the entire lifecycle of machine learning models, from training to deployment, with tools for model versioning, monitoring, and performance tracking. It supports a wide variety of AI models, including generative AI and LLMs (Large Language Models), and provides an intuitive interface for managing prompts, workflows, and feature engineering. JFrog ML helps businesses streamline their ML operations and scale AI applications efficiently, with integrated support for cloud environments. -
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Fiddler AI
Fiddler AI
Fiddler is a pioneer in Model Performance Management for responsible AI. The Fiddler platform’s unified environment provides a common language, centralized controls, and actionable insights to operationalize ML/AI with trust. Model monitoring, explainable AI, analytics, and fairness capabilities address the unique challenges of building in-house stable and secure MLOps systems at scale. Unlike observability solutions, Fiddler integrates deep XAI and analytics to help you grow into advanced capabilities over time and build a framework for responsible AI practices. Fortune 500 organizations use Fiddler across training and production models to accelerate AI time-to-value and scale, build trusted AI solutions, and increase revenue. -
12
Valohai
Valohai
Models are temporary, pipelines are forever. Train, Evaluate, Deploy, Repeat. Valohai is the only MLOps platform that automates everything from data extraction to model deployment. Automate everything from data extraction to model deployment. Store every single model, experiment and artifact automatically. Deploy and monitor models in a managed Kubernetes cluster. Point to your code & data and hit run. Valohai launches workers, runs your experiments and shuts down the instances for you. Develop through notebooks, scripts or shared git projects in any language or framework. Expand endlessly through our open API. Automatically track each experiment and trace back from inference to the original training data. Everything fully auditable and shareable.Starting Price: $560 per month -
13
neptune.ai
neptune.ai
Neptune.ai is a machine learning operations (MLOps) platform designed to streamline the tracking, organizing, and sharing of experiments and model-building processes. It provides a comprehensive environment for data scientists and machine learning engineers to log, visualize, and compare model training runs, datasets, hyperparameters, and metrics in real-time. Neptune.ai integrates easily with popular machine learning libraries, enabling teams to efficiently manage both research and production workflows. With features that support collaboration, versioning, and experiment reproducibility, Neptune.ai enhances productivity and helps ensure that machine learning projects are transparent and well-documented across their lifecycle.Starting Price: $49 per month -
14
Jina AI
Jina AI
Empower businesses and developers to create cutting-edge neural search, generative AI, and multimodal services using state-of-the-art LMOps, MLOps and cloud-native technologies. Multimodal data is everywhere: from simple tweets to photos on Instagram, short videos on TikTok, audio snippets, Zoom meeting records, PDFs with figures, 3D meshes in games. It is rich and powerful, but that power often hides behind different modalities and incompatible data formats. To enable high-level AI applications, one needs to solve search and create first. Neural Search uses AI to find what you need. A description of a sunrise can match a picture, or a photo of a rose can match a song. Generative AI/Creative AI uses AI to make what you need. It can create an image from a description, or write poems from a picture. -
15
Seldon
Seldon Technologies
Deploy machine learning models at scale with more accuracy. Turn R&D into ROI with more models into production at scale, faster, with increased accuracy. Seldon reduces time-to-value so models can get to work faster. Scale with confidence and minimize risk through interpretable results and transparent model performance. Seldon Deploy reduces the time to production by providing production grade inference servers optimized for popular ML framework or custom language wrappers to fit your use cases. Seldon Core Enterprise provides access to cutting-edge, globally tested and trusted open source MLOps software with the reassurance of enterprise-level support. Seldon Core Enterprise is for organizations requiring: - Coverage across any number of ML models deployed plus unlimited users - Additional assurances for models in staging and production - Confidence that their ML model deployments are supported and protected. -
16
Segmind
Segmind
Segmind provides simplified access to large computing. You can use it to run your high-performance workloads such as Deep learning training or other complex processing jobs. Segmind offers zero-setup environments within minutes and lets your share access with your team members. Segmind's MLOps platform can also be used to manage deep learning projects end-to-end with integrated data storage and experiment tracking. ML engineers are not cloud engineers and cloud infrastructure management is a pain. So, we abstracted away all of it so that your ML team can focus on what they do best, and build models better and faster. Training ML/DL models take time and can get expensive quickly. But with Segmind, you can scale up your compute seamlessly while also reducing your costs by up to 70%, with our managed spot instances. ML managers today don't have a bird's eye view of ML development activities and cost.Starting Price: $5 -
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Barbara
Barbara
Barbara is the Edge AI Platform for organizations looking to overcome the challenges of deploying AI, in mission-critical environments. With Barbara companies can deploy, train and maintain their models across thousands of devices in an easy fashion, with the autonomy, privacy and real- time that the cloud can´t match. Barbara technology stack is composed by: .- Industrial Connectors for legacy or next-generation equipment. .- Edge Orchestrator to deploy and control container-based and native edge apps across thousands of distributed locations .- MLOps to optimize, deploy, and monitor your trained model in minutes. .- Marketplace of certified Edge Apps, ready to be deployed. .- Remote Device Management for provisioning, configuration, and updates. More --> www. barbara.tech -
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MAIOT
MAIOT
We commoditize production-ready Machine Learning. ZenML, the star MAIOT product, is an extensible, open-source MLOps framework to create reproducible Machine Learning pipelines. ZenML pipelines are built to take experiments from data versioning to a deployed model. The core design is centered around extensible interfaces to accommodate complex pipeline scenarios, while providing a batteries-included, straightforward “happy path” to achieve success in common use-cases without unnecessary boiler-plate code. We want to enable Data Scientists to focus on use-cases, goals and, ultimately, workflows for Machine Learning, not the underlying technologies. As the Machine Learning landscape is evolving fast, in both Software and Hardware, it is our objective to decouple reproducible workflows to productionize Machine Learning from the required tooling, to make the adoption of new technologies as easy as possible. -
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Huawei Cloud ModelArts
Huawei Cloud
ModelArts is a comprehensive AI development platform provided by Huawei Cloud, designed to streamline the entire AI workflow for developers and data scientists. It offers a full-lifecycle toolchain that includes data preprocessing, semi-automated data labeling, distributed training, automated model building, and flexible deployment options across cloud, edge, and on-premises environments. It supports popular open source AI frameworks such as TensorFlow, PyTorch, and MindSpore, and allows for the integration of custom algorithms tailored to specific needs. ModelArts features an end-to-end development pipeline that enhances collaboration across DataOps, MLOps, and DevOps, boosting development efficiency by up to 50%. It provides cost-effective AI computing resources with diverse specifications, enabling large-scale distributed training and inference acceleration. -
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Neysa Nebula
Neysa
Nebula allows you to deploy and scale your AI projects quickly, easily and cost-efficiently2 on highly robust, on-demand GPU infrastructure. Train and infer your models securely and easily on the Nebula cloud powered by the latest on-demand Nvidia GPUs and create and manage your containerized workloads through Nebula’s user-friendly orchestration layer. Access Nebula’s MLOps and low-code/no-code engines to build and deploy AI use cases for business teams and to deploy AI-powered applications swiftly and seamlessly with little to no coding. Choose between the Nebula containerized AI cloud, your on-prem environment, or any cloud of your choice. Build and scale AI-enabled business use-cases within a matter of weeks, not months, with the Nebula Unify platform.Starting Price: $0.12 per hour -
21
Snitch AI
Snitch AI
Quality assurance for machine learning simplified. Snitch removes the noise to surface only the most useful information to improve your models. Track your model’s performance beyond just accuracy with powerful dashboards and analysis. Identify problems in your data pipeline and distribution shifts before they affect your predictions. Stay in production once you’ve deployed and gain visibility on your models & data throughout its cycle. Keep your data secure, cloud, on-prem, private cloud, hybrid, and you decide how to install Snitch. Work within the tools you love and integrate Snitch into your MLops pipeline! Get up and running quickly, we keep installation, learning, and running the product easy as pie. Accuracy can often be misleading. Look into robustness and feature importance to evaluate your models before deploying. Gain actionable insights to improve your models. Compare against historical metrics and your models’ baseline.Starting Price: $1,995 per year -
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Deep Block
Omnis Labs
Deep Block is the world's fastest AI-powered remote sensing imagery analysis solution. Train your own AI models to detect instantly any objects in large satellite, aerial, and drone images. Deep Block's no-code data labeling interface lets you achieve your MLOps projects in days, with no prior expertise. Instead of hiring your own in-house AI engineering team, anybody can start training their own AI. If you have a mouse and a keyboard, you can use our web-based platform, check our project library for inspiration, and choose between 9 out-of-the-box AI training modules (image segmentation, object detection, facial detection, facial comparison…) to get you started. The power of Deep Block is not limited to training your own AI. Once, your AI model is ready, Deep Block's high-performance AI models can deliver very accurate results when detecting objects (0.9 mAP) and with minimum false positives (0.9 recall).Starting Price: $10 per month -
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QpiAI
QpiAI
QpiAI Pro is a no-code AutoML and MLOps platform designed to empower AI development with generative AI tools for automated data annotation, foundation model tuning, and scalable deployment. It offers flexible deployment solutions tailored to meet unique enterprise needs, including cloud VPC deployment within enterprise VPC on the public cloud, managed service on public cloud with integrated QpiAI serverless billing infrastructure, and enterprise data center deployment for complete control over security and compliance. These options enhance operational efficiency and provide end-to-end access to platform functionalities. QpiAI Pro is part of QpiAI's suite of products that integrate AI and quantum technologies in enterprise solutions, aiming to solve complex scientific and business problems across various industries. -
24
SwarmOne
SwarmOne
SwarmOne is an autonomous infrastructure platform designed to streamline the entire AI lifecycle, from training to deployment, by automating and optimizing AI workloads across any environment. With just two lines of code and a one-click hardware installation, users can initiate instant AI training, evaluation, and deployment. It supports both code and no-code workflows, enabling seamless integration with any framework, IDE, or operating system, and is compatible with any GPU brand, quantity, or generation. SwarmOne's self-setting architecture autonomously manages resource allocation, workload orchestration, and infrastructure swarming, eliminating the need for Docker, MLOps, or DevOps. Its cognitive infrastructure layer and burst-to-cloud engine ensure optimal performance, whether on-premises or in the cloud. By automating tasks that typically hinder AI model development, SwarmOne allows data scientists to focus exclusively on scientific work, maximizing GPU utilization. -
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NeuReality
NeuReality
NeuReality accelerates the possibilities of AI by offering a revolutionary solution that lowers the overall complexity, cost, and power consumption. While other companies also develop Deep Learning Accelerators (DLAs) for deployment, no other company connects the dots with a software platform purpose-built to help manage specific hardware infrastructure. NeuReality is the only company that bridges the gap between the infrastructure where AI inference runs and the MLOps ecosystem. NeuReality has developed a new architecture design to exploit the power of DLAs. This architecture enables inference through hardware with AI-over-fabric, an AI hypervisor, and AI-pipeline offload. -
26
Instill Core
Instill AI
Instill Core is an all-in-one AI infrastructure tool for data, model, and pipeline orchestration, streamlining the creation of AI-first applications. Access is easy via Instill Cloud or by self-hosting from the instill-core GitHub repository. Instill Core includes: Instill VDP: The Versatile Data Pipeline (VDP), designed for unstructured data ETL challenges, providing robust pipeline orchestration. Instill Model: An MLOps/LLMOps platform that ensures seamless model serving, fine-tuning, and monitoring for optimal performance with unstructured data ETL. Instill Artifact: Facilitates data orchestration for unified unstructured data representation. Instill Core simplifies the development and management of sophisticated AI workflows, making it indispensable for developers and data scientists leveraging AI technologies.Starting Price: $19/month/user -
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Latent AI
Latent AI
We take the hard work out of AI processing on the edge. The Latent AI Efficient Inference Platform (LEIP) enables adaptive AI at the edge by optimizing for compute, energy and memory without requiring changes to existing AI/ML infrastructure and frameworks. LEIP is a modular, fully-integrated workflow designed to train, quantize, adapt and deploy edge AI neural networks. LEIP is a modular, fully-integrated workflow designed to train, quantize and deploy edge AI neural networks. Latent AI believes in a vibrant and sustainable future driven by the power of AI and the promise of edge computing. Our mission is to deliver on the vast potential of edge AI with solutions that are efficient, practical, and useful. Latent AI helps a variety of federal and commercial organizations gain the most from their edge AI with an automated edge MLOps pipeline that creates ultra-efficient, compressed, and secured edge models at scale while also removing all maintenance and configuration concerns -
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Fortanix Confidential AI
Fortanix
Fortanix Confidential AI is a unified platform that enables data teams to process sensitive datasets and run AI/ML models entirely within confidential computing environments, combining managed infrastructure, software, and workflow orchestration to maintain organizational privacy compliance. The service offers readily available, on-demand infrastructure powered by Intel Ice Lake third-generation scalable Xeon processors and supports execution of AI frameworks inside Intel SGX and other enclave technologies with zero external visibility. It delivers hardware-backed proofs of execution and detailed audit logs for stringent regulatory requirements, secures every stage of the MLOps pipeline, from data ingestion via Amazon S3 connectors or local uploads through model training, inference, and fine-tuning, and provides broad model compatibility. -
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DagsHub
DagsHub
DagsHub is a collaborative platform designed for data scientists and machine learning engineers to manage and streamline their projects. It integrates code, data, experiments, and models into a unified environment, facilitating efficient project management and team collaboration. Key features include dataset management, experiment tracking, model registry, and data and model lineage, all accessible through a user-friendly interface. DagsHub supports seamless integration with popular MLOps tools, allowing users to leverage their existing workflows. By providing a centralized hub for all project components, DagsHub enhances transparency, reproducibility, and efficiency in machine learning development. DagsHub is a platform for AI and ML developers that lets you manage and collaborate on your data, models, and experiments, alongside your code. DagsHub was particularly designed for unstructured data for example text, images, audio, medical imaging, and binary files.Starting Price: $9 per month -
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Amazon SageMaker Unified Studio is a comprehensive, AI and data development environment designed to streamline workflows and simplify the process of building and deploying machine learning models. Built on Amazon DataZone, it integrates various AWS analytics and AI/ML services, such as Amazon EMR, AWS Glue, and Amazon Bedrock, into a single platform. Users can discover, access, and process data from various sources like Amazon S3 and Redshift, and develop generative AI applications. With tools for model development, governance, MLOps, and AI customization, SageMaker Unified Studio provides an efficient, secure, and collaborative environment for data teams.
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Iguazio
Iguazio (Acquired by McKinsey)
The Iguazio AI platform operationalizes and de-risks ML & GenAI applications at scale. Implement AI effectively and responsibly in your live business environments. Orchestrate and automate your AI pipelines, establish guardrails to address risk and regulation challenges, deploy your applications anywhere, and turn your AI projects into real business impact. - Operationalize Your GenAI Applications: Go from POC to a live application in production, cutting costs and time-to-market with efficient scaling, resource optimization, automation and data management applying MLOps principles. - De-Risk and Protect with GenAI Guardrails: Monitor applications in production to ensure compliance and reduce risk of data privacy breaches, bias, AI hallucinations and IP infringements. -
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Enterpret
Enterpret
Enterpret enables companies to analyze their customer feedback at scale. We are solving complex problems in NLP, ml-ops, analytics, and data visualization. We exist to solve customer pain - continuously learn about our customer’s most critical pain points and solve them. What we achieve is defined by what we aim to accomplish. We set ambitious goals for ourselves and back ourselves to hit them. Failures we encounter along the way are fuel for us to learn and get better. The system of intelligence for all customer feedback ensures you build the right things first. Leverage the feedback users have already shared by joining it with user behavior segments. Save time setting up user interviews and surveys. -
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Mosaic AIOps
Larsen & Toubro Infotech
LTI’s Mosaic is a converged platform, which offers data engineering, advanced analytics, knowledge-led automation, IoT connectivity and improved solution experience to its users. Mosaic enables organizations to undertake quantum leaps in business transformation, and brings an insights-driven approach to decision-making. It helps deliver pioneering Analytics solutions at the intersection of physical and digital worlds. Catalyst for Enterprise ML & AI Adoption. ModelManagement. TrainingAtScale. AIDevOps. MLOps. MultiTenancy. LTI’s Mosaic AI is a cognitive AI platform, designed to provide its users with an intuitive experience in building, training, deploying and managing AI models at enterprise scale. It brings together the best AI frameworks & templates, to provide a platform where users enjoy a seamless & personalized “Build-to-Run” transition on their AI workflows. -
34
Firmnav
Firmnav
Firmnav is an AI & predictive analytics platform focused on company data for B2B sales and marketing teams, and investors/M&A. Connect, predict, and activate your predictions in three easy steps. Use your modularised building blocks, integrations, connections, and no-code flow builder interface to fully tailor your own flow to your business needs. Build your own company AI solution without a single line of code. Leverage the power of AI to predict any metric for companies, also those that you normally struggle to know. Leverage the power of AI classification to automatically categorize companies into custom categories, whether it be customer segments, investment verticals/themes, or anything else. Classify companies into distinct categories. Experience the power of fully holistic and integrated no-code, from berth to deployment. Built-in data aggregation, feature engineering, modeling, and training. Host and power your AI models with state-of-the-art MLOps. -
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Veritone aiWARE
Veritone
The Veritone aiWARE platform for Enterprise AI provides real-time input adapters, hundreds of AI engines across over 20 cognitive categories, an intelligent data lake, APIs, workflow tools, and industry applications to help developers and app users successfully transform audio, video, text, and other data sources into actionable intelligence. Veritone provides numerous AI-powered applications that span local and federal government, legal and compliance, and media and entertainment verticals. These applications search and rapidly extract actionable insight from evidence, quickly locate case-critical evidence and compliance risks, and analyze, manage, and monetize media assets. Enterprise AI Leaders responsible for IT, MLOps, ModelOps, ML, data science, or digital transformation can quickly and easily create aiWARE-based AI workflows with a low-code designer. You can also call aiWARE APIs directly to add content intelligence to existing legacy applications. -
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Blaize AI Studio
Blaize
AI Studio delivers AI-driven, application end-to-end data operations (DataOps), development operations (DevOps), and Machine Learning operations (MLOps) tools. Our AI Software Platform reduces your dependency on critical resources like Data Scientists and Machine Learning (ML) engineers, reduces the time from development to deployment, and makes it easier to manage edge AI systems over the product’s lifetime. AI Studio is designed for deployment to edge inference accelerators, on-premises edge servers, systems, and AI-as-a-Service (AIaaS) for cloud-based applications. Reducing the time between data capture and AI deployment at the Edge with powerful data-labeling and annotation functions. Automated process leveraging AI knowledge base, MarketPlace and guided strategies, enabling Business Experts with AI expertise and solutions adds. -
37
CloudFactory
CloudFactory
Human-powered Data Processing for AI and Automation. Our managed teams have served hundreds of clients across use cases that range from simple to complex. Our proven processes deliver quality data quickly and are designed to scale and change along with your needs. Our flexible platform integrates with any commercial or proprietary tool set so you can use the right tool for the job. Flexible contract terms and pricing help you to get started quickly and to scale up and down as needed with no lock-in. For nearly a decade, clients have trusted our secure IT-Infrastructure and workforce vetting processes to deliver quality work remotely. We maintained operations during COVID-19 lockdowns, keeping our clients up-and-running and adding geographic and vendor diversity to their workforces. -
38
Crosser
Crosser Technologies
Analyze and act on your data in the Edge. Make Big Data small and relevant. Collect sensor data from all your assets. Connect any sensor, PLC, DCS, MES or Historian. Condition monitoring of remote assets. Industry 4.0 data collection & integration. Combine streaming and enterprise data in data flows. Use your favorite Cloud Provider or your own data center for storage of data. Bring, manage and deploy your own ML models with Crosser Edge MLOps functionality. The Crosser Edge Node is open to run any ML framework. Central resource library for your trained models in crosser cloud. Drag-and-drop for all other steps in the data pipeline. One operation to deploy ML models to any number of Edge Nodes. Self-Service Innovation powered by Crosser Flow Studio. Use a rich library of pre-built modules. Enables collaboration across teams and sites. No more dependencies on single team members. -
39
DataQueue
DataQueue
DataQueue is a comprehensive platform designed to unlock the potential of AI with your data. Our data engine harnesses your enterprise data, while the DQ Platform securely unlocks your AI's potential. We work with generative AI companies, industry integrators, and enterprises to co-create value and celebrate mutual success. Our labelers management platform, JobifyGlobal, integrates seamlessly with internal and third-party annotation tools, providing full control over labelers management, from payment processing to quality assurance and detailed analytics. Our data curation platform is designed for MLOps and data scientists, providing essential tools to prepare datasets before annotation and labeling, enhancing your data pipeline with our complementary solutions. The Callstudio platform offers comprehensive control over agent performance with advanced speech analytics, allowing you to gain insights, improve efficiency, and generate detailed reports to elevate your customer interactions. -
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Metatext
Metatext
Build, evaluate, deploy, and refine custom natural language processing models. Empower your team to automate workflows without hiring an AI expert team and costly infra. Metatext simplifies the process of creating customized AI/NLP models, even without expertise in ML, data science, or MLOps. With just a few steps, automate complex workflows, and rely on intuitive UI and APIs to handle the heavy work. Enable AI into your team using a simple but intuitive UI, add your domain expertise, and let our APIs do all the heavy work. Get your custom AI trained and deployed automatically. Get the best from a set of deep learning algorithms. Test it using a Playground. Integrate our APIs with your existing systems, Google Spreadsheets, and other tools. Select the AI engine that best suits your use case. Each one offers a set of tools to assist creating datasets and fine-tuning models. Upload text data in various file formats and annotate labels using our built-in AI-assisted data labeling tool.Starting Price: $35 per month -
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MosaicML
MosaicML
Train and serve large AI models at scale with a single command. Point to your S3 bucket and go. We handle the rest, orchestration, efficiency, node failures, and infrastructure. Simple and scalable. MosaicML enables you to easily train and deploy large AI models on your data, in your secure environment. Stay on the cutting edge with our latest recipes, techniques, and foundation models. Developed and rigorously tested by our research team. With a few simple steps, deploy inside your private cloud. Your data and models never leave your firewalls. Start in one cloud, and continue on another, without skipping a beat. Own the model that's trained on your own data. Introspect and better explain the model decisions. Filter the content and data based on your business needs. Seamlessly integrate with your existing data pipelines, experiment trackers, and other tools. We are fully interoperable, cloud-agnostic, and enterprise proved. -
42
FeatureByte
FeatureByte
FeatureByte is your AI data scientist streamlining the entire lifecycle so that what once took months now happens in hours. Deployed natively on Databricks, Snowflake, BigQuery, or Spark, it automates feature engineering, ideation, cataloging, custom UDFs (including transformer support), evaluation, selection, historical backfill, deployment, and serving (online or batch), all within a unified platform. FeatureByte’s GenAI‑inspired agents, data, domain, MLOps, and data science agents interactively guide teams through data acquisition, quality, feature generation, model creation, deployment orchestration, and continued monitoring. FeatureByte’s SDK and intuitive UI enable automated and semi‑automated feature ideation, customizable pipelines, cataloging, lineage tracking, approval flows, RBAC, alerts, and version control, empowering teams to build, refine, document, and serve features rapidly and reliably. -
43
RagaAI
RagaAI
RagaAI is the #1 AI testing platform that helps enterprises mitigate AI risks and make their models secure and reliable. Reduce AI risk exposure across cloud or edge deployments and optimize MLOps costs with intelligent recommendations. A foundation model specifically designed to revolutionize AI testing. Easily identify the next steps to fix dataset and model issues. The AI-testing methods used by most today increase the time commitment and reduce productivity while building models. Also, they leave unforeseen risks, so they perform poorly post-deployment and thus waste both time and money for the business. We have built an end-to-end AI testing platform that helps enterprises drastically improve their AI development pipeline and prevent inefficiencies and risks post-deployment. 300+ tests to identify and fix every model, data, and operational issue, and accelerate AI development with comprehensive testing. -
44
Aviz Networks
Aviz Networks
Aviz offers a data-centric stack that is vendor agnostic supports multiple ASICs, switches, NOS, clouds, and LLMs, and integrates seamlessly with AI and security applications. It is designed for open source networking and works effectively with existing network infrastructures, ensuring a seamless transition. Aviz empowers customers to choose their solutions without vendor lock-in, offering an enterprise-grade experience across a multi-vendor ecosystem. Unlock powerful insights and enable Gen AI across your network with our conversational tool that answers questions on everything from compliance to capacity planning instantly. Experience seamless integration and a guaranteed 40% ROI with non-intrusive, predefined AI use cases tailored specifically for you. Achieve substantial savings with our software-defined packet broker on your choice of switches, leveraging open source technology. -
45
FinetuneFast
FinetuneFast
FinetuneFast is your ultimate solution for finetuning AI models and deploying them quickly to start making money online with ease. Here are the key features that make FinetuneFast stand out: - Finetune your ML models in days, not weeks - The ultimate ML boilerplate for text-to-image, LLMs, and more - Build your first AI app and start earning online fast - Pre-configured training scripts for efficient model training - Efficient data loading pipelines for streamlined data processing - Hyperparameter optimization tools for improved model performance - Multi-GPU support out of the box for enhanced processing power - No-Code AI model finetuning for easy customization - One-click model deployment for quick and hassle-free deployment - Auto-scaling infrastructure for seamless scaling as your models grow - API endpoint generation for easy integration with other systems - Monitoring and logging setup for real-time performance tracking -
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Gentoro
Gentoro
Gentoro is a platform built to empower enterprises to adopt agentic automation by bridging AI agents with real-world systems securely and at scale. It uses the Model Context Protocol (MCP) as its foundation, allowing developers to automatically convert OpenAPI specs or backend endpoints into production-ready MCP Tools, without writing custom integration code. Gentoro takes care of runtime concerns like logging, retries, monitoring, and cost optimization, while enforcing secure access, auditability, and governance policies (e.g., OAuth support, policy enforcement) whether deployed in a private cloud or on-premises. It is model- and framework-agnostic, meaning it supports integration with various LLMs and agent architectures. Gentoro helps avoid vendor lock-in and simplifies tool orchestration in enterprise environments by managing tool generation, runtime, security, and maintenance in one stack. -
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Produvia
Produvia
Produvia is a serverless machine-learning development service. Partner with Produvia to develop and deploy machine models using serverless cloud infrastructure. Fortune 500 companies and Global 500 enterprises partner with Produvia to develop and deploy machine learning models using modern cloud infrastructure. At Produvia, we use state-of-the-art methods in machine learning and deep learning technologies to solve business problems. Organizations overspend on infrastructure costs. Modern organizations use serverless architectures to reduce server costs. Organizations are held back by complex servers and legacy code. Modern organizations use machine learning technologies to rewrite technology stacks. Companies hire software developers to write code. Modern companies use machine learning to develop software that writes code.Starting Price: $1,000 per month -
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Avo Assure
Avo Automation
The Avo Quality Automation System is the world’s gold standard for simple, intelligent and resilient automation, freeing people from manual tasks and allowing them to do more of what they love. Highly intelligent and application-agnostic, Avo Assure takes quality assurance beyond current software test automation tools without writing code. Instantly auto-generate test automation across the web, mobile, desktop, ERP applications, & mainframes without writing code. Leverage 1400+ prebuilt keywords to easily & rapidly build test cases. Easily visualize your test landscape, with the first mind map in test automation. Quickly update and upgrade test scenarios to expand coverage & reduce maintenance. Eliminate errors as you change and update applications over time. Highly intelligent and application-agnostic, Avo Assure takes quality assurance beyond current software test automation tools without writing code. -
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Protégé
Center for Biomedical Informatics Research
Protégé is supported by a strong community of academic, government, and corporate users, who use Protégé to build knowledge-based solutions in areas as diverse as biomedicine, e-commerce, and organizational modeling. Protégé’s plug-in architecture can be adapted to build both simple and complex ontology-based applications. Developers can integrate the output of Protégé with rule systems or other problem solvers to construct a wide range of intelligent systems. Most important, the Stanford team and the vast Protégé community are here to help. Protégé is actively supported by a strong community of users and developers that field questions, write documentation, and contribute plug-ins. Protégé is based on Java, is extensible, and provides a plug-and-play environment that makes it a flexible base for rapid prototyping and application development. -
50
VESSL AI
VESSL AI
Build, train, and deploy models faster at scale with fully managed infrastructure, tools, and workflows. Deploy custom AI & LLMs on any infrastructure in seconds and scale inference with ease. Handle your most demanding tasks with batch job scheduling, only paying with per-second billing. Optimize costs with GPU usage, spot instances, and built-in automatic failover. Train with a single command with YAML, simplifying complex infrastructure setups. Automatically scale up workers during high traffic and scale down to zero during inactivity. Deploy cutting-edge models with persistent endpoints in a serverless environment, optimizing resource usage. Monitor system and inference metrics in real-time, including worker count, GPU utilization, latency, and throughput. Efficiently conduct A/B testing by splitting traffic among multiple models for evaluation.Starting Price: $100 + compute/month
