Top 50 Automl Platform

Profet AI provides a no-code AutoML platform that enables manufacturing companies to implement AI solutions quickly, allowing domain experts to leverage machine learning without requiring extensive technical knowledge. The platform addresses the challenge of knowledge transfer from experienced workers by facilitating rapid deployment of AI applications across various operational areas, enhancing decision-making and efficiency.

4Paradigm provides an AI enablement platform that delivers industry‑specific large models built from multi‑modal data and a software‑defined compute layer that abstracts hardware for high‑throughput, low‑cost processing. The platform includes AutoML, transfer‑learning tools, and a generative‑AI development suite that automates model creation, code generation, review, and deployment, all delivered via secure, GDPR‑compliant cloud services.

Tryloop is a cloud platform that automates the full AI development cycle, letting data science teams upload data, generate and train multiple model variants, and evaluate results through built‑in dashboards. It provides one‑click API deployment, version control, real‑time monitoring, and collaborative workspaces, reducing the need for manual infrastructure and speeding model iteration.

The startup offers a multimodal artificial intelligence platform that enables users to aggregate, process, and analyze healthcare data to create and deploy machine learning models. This platform facilitates improved diagnostics by allowing non-technical users to iteratively develop models that integrate various data modalities for practical applications in the healthcare sector.

This startup is focused on commoditizing machine learning by providing accessible tools that enable businesses to implement AI solutions without extensive technical expertise. Their platform enhances revenue generation and operational efficiency by streamlining data analysis and decision-making processes.

Nyckel provides a platform for users to create custom machine learning models for image and text classification without requiring machine learning expertise. By allowing users to upload training samples and labels, Nyckel enables rapid model training in 10-30 seconds, automating tasks like content moderation and image categorization.

DotData is an end-to-end data science automation platform that utilizes AI and machine learning to extract actionable insights from complex, multi-source data sets in minutes. It enables organizations to identify key performance drivers and enhance predictive model accuracy without requiring specialized coding skills.

PoplarML provides a platform for deploying scalable machine learning systems in production environments. The company addresses the challenges of integrating and managing ML workflows, enabling organizations to efficiently operationalize their models.

MakinaRocks offers a machine learning operations (MLOps) platform tailored for industrial applications, enabling organizations to build and deploy customized large language models (LLMs) that enhance operational efficiency. The platform addresses the challenge of integrating AI into complex industrial workflows by providing automated tools for data management, model training, and deployment monitoring.

The startup offers an AI-driven platform that facilitates the development and deployment of machine learning models for businesses. This technology addresses the challenge of resource-intensive model training and management, enabling companies to optimize performance while reducing operational costs.

H2O.ai provides a machine learning platform that enables the development of predictive models and smart applications using automated machine learning techniques. This platform enhances data-driven decision-making by simplifying the model training process and improving the accuracy of insights derived from large datasets.

Graphite Note is a no-code platform that enables data analysts to create machine learning models in minutes, utilizing prebuilt templates for various business use cases. This technology allows users to transform complex datasets into actionable insights, facilitating data-driven decision-making without requiring technical expertise.

Daslab provides a no-code platform for building, training, and deploying custom AI models. Its visual interface empowers domain experts to create bespoke machine learning solutions and deploy them as scalable APIs, accelerating AI integration into business workflows.

Assertion AI automates the full machine‑learning workflow by turning a data dictionary or schema into a ready‑to‑run Jupyter notebook containing production‑grade SQL and Python code. Users specify their prediction target, and the platform selects the appropriate modeling framework, generates transparent, editable code, and supports deployment via a web portal or API, eliminating manual feature engineering and extensive coding.

Let'z AI provides a cloud‑based platform that lets small and medium businesses add machine‑learning capabilities to their workflows without needing data‑science expertise. Users can upload data, choose from pre‑built model templates, and deploy predictions via drag‑and‑drop dashboards or one‑click APIs, while the service handles preprocessing, training, scaling, and ongoing monitoring.

AIZEN's CreditConnect is an AI-driven banking-as-a-service platform that utilizes proprietary AutoML technology to transform data into actionable credit insights for banks. It bridges the credit gap by providing tailored financing options for E-Commerce and E-Mobility borrowers, enhancing access to capital while minimizing risk for financial institutions.

Braintoy provides a low-code platform that enables businesses to rapidly build and deploy machine learning models. It simplifies the AI development process, allowing users to create and implement AI solutions quickly without extensive coding or specialized data science expertise.

MozartAI offers a cloud‑based AI platform that lets small and mid‑size businesses add machine‑learning capabilities to their workflows without deep technical expertise. It provides a library of pre‑trained models and a visual, drag‑and‑drop builder for custom models, delivering results through no‑code connectors and API endpoints that integrate with common tools like CRM and ERP, while handling data preprocessing, monitoring, and automated retraining.

Supercompany provides a low‑code AI platform and consulting services that let enterprises adopt machine learning, natural language processing, and data analytics without deep technical expertise. It offers pre‑trained models, drag‑and‑drop workflow builders, automated data labeling, and real‑time inference APIs, plus end‑to‑end project support and continuous model monitoring to ensure AI initiatives deliver measurable business value.

PtolemyAI is a cloud-based platform that lets businesses and developers embed customizable machine‑learning models and automation scripts into their applications via a visual workflow builder and auto‑generated REST APIs/SDKs. It offers pre‑trained domain models, real‑time monitoring, and enterprise‑grade security, enabling mid‑size enterprises and SaaS teams to automate tasks and extract actionable insights without building a full data‑science stack.

Plexe AI enables users to generate custom, production-ready machine learning models directly from natural language prompts. The platform connects to raw data sources to automatically engineer, train, and deploy tailored AI solutions like fraud detection or recommendation engines. It provides full transparency into model performance metrics and training details, accelerating the transition from data insight to actionable ML deployment.

The startup offers a subscription-based machine learning platform that enables users to design, train, and maintain their AI models by simply uploading data. This technology allows businesses to leverage their data for actionable insights, enhancing profitability and operational efficiency.

The startup offers an end-to-end machine learning platform that enables businesses to create multi-modal model ensembles, integrating explanations and continuous improvement frameworks. This technology allows organizations to focus on their specific business challenges rather than the complexities of machine learning model development.

The platform provides a no-code interface for training, implementing, and deploying machine learning models, enabling users without technical expertise to leverage AI capabilities. This approach reduces the barrier to entry for businesses seeking to integrate machine learning into their operations, enhancing efficiency and decision-making processes.

The startup offers an artificial intelligence agent platform that automates machine learning tasks by analyzing data and generating code for data preprocessing, model training, inference, and evaluation. This tool enables developers to efficiently produce customized code and research reports, significantly reducing the time and expertise required for machine learning projects.

Datomize AI offers a no-code machine learning platform that enables real-time data analysis and model deployment. The platform simplifies the machine learning process, allowing users to build and deploy models without coding expertise.

Evatt AI provides a cloud‑native platform that lets enterprises create, train, and deploy custom predictive models without needing extensive data‑science expertise. The service includes a library of pre‑validated algorithms, automated feature engineering, scalable compute resources, and APIs for integration, plus monitoring tools for drift detection and automated retraining within an enterprise‑grade security framework.

Impulse provides an autonomous AI engineering platform that lets users upload data or connect a source, describe the desired prediction in plain English, and receive a fully trained, evaluated, and deployable model. The service automates data preprocessing, model selection, training, and hyperparameter tuning, then presents performance metrics and explanations through a web UI and offers one‑click API deployment, eliminating the need for in‑house ML engineers or infrastructure.

Alki provides a Forecast as a Service (FaaS) platform powered by proprietary AutoML technology for highly accurate time series predictions. This cloud-hosted solution enables businesses across logistics and retail to confidently forecast variables like demand, capacity, and inventory. Users can deploy predictions via a web application or integrate directly using the Alki API for scalable, real-time operational planning.

The startup offers an AI platform that simplifies the development and application of AI technologies, enabling users to easily create and implement AI-driven solutions. By providing hands-on training and resources, the platform addresses the challenge of accessibility and usability in AI, empowering individuals and organizations to leverage AI effectively for their specific needs.

The startup offers a semiconductor design platform that utilizes machine learning for automated modeling, enabling self-learning from collected data. This technology reduces development time and minimizes design errors, enhancing the efficiency of semiconductor design processes.

Pecan is an automated predictive analytics platform that enables data analysts to build machine learning models using SQL without requiring coding skills. It addresses the challenges of slow and costly data science processes by streamlining data preparation and model deployment, allowing businesses to generate accurate predictions quickly.

Insight Dynamics offers a cloud‑native analytics platform that aggregates ERP, IoT, and third‑party data into a centralized data lake with real‑time streaming and over 30 pre‑built connectors. The platform provides configurable KPI dashboards, AutoML‑driven demand forecasting and inventory optimization, and a what‑if simulation engine accessible via web UI and REST/GraphQL APIs, with role‑based access control and end‑to‑end encryption for enterprise security.

TRIDI Solutions provides a no-code platform that empowers non-technical users to build and deploy custom AI and machine learning models. The platform simplifies data annotation, model training, and deployment, enabling businesses to leverage advanced analytics without requiring specialized data science expertise.

Provides end-to-end AI model development services, including data preparation, labeling, and deployment of lightweight, scalable AI infrastructure. Specializes in natural language processing, image and video analytics, and structured machine learning to enable businesses to automate processes, extract insights, and reduce operational costs without requiring specialized hardware.

The startup offers a no-code platform that enables users to create customized AI agents tailored to specific business requirements, utilizing a proprietary hierarchical graph engine for graph visualization and orchestration. This technology allows businesses to develop machine learning models and workflows in days, significantly reducing the time and complexity typically associated with these processes.

Cortal Insight is a platform that automates data preprocessing and routine machine learning tasks, enabling teams to focus on model optimization and experimentation. By integrating with existing data sources, it enhances data quality and accelerates the model-building process, allowing teams to automate up to 40% of their visual machine learning tasks.

Ople provides a platform that enables business users to perform predictive analytics through automated machine learning, allowing them to quickly identify patterns and derive insights from their data. This solution empowers non-technical users to build and deploy predictive models in real-time, enhancing decision-making and reducing operational risks.

OneClick.ai offers an automated platform that utilizes machine learning for augmented forecasting and dynamic pricing, enabling businesses to analyze complex demand patterns and optimize pricing strategies. This technology transforms data into actionable insights, enhancing operational efficiency and improving return on investment.

Chimes AI offers a no-code AutoML platform for manufacturing to build and deploy AI models for production optimization, real-time quality monitoring, and predictive maintenance. This enables domain experts to improve operational efficiency and asset reliability without extensive coding.

DataSpoc offers a NoCode AutoML platform that enables businesses to rapidly create proprietary AI models, reducing development time by up to 83% and costs by 80% compared to traditional data science teams. The platform automates data preparation, model training, and deployment, allowing companies to leverage data-driven insights for improved decision-making without the need for extensive technical resources.

Telepath offers a machine learning platform that allows developers to build custom models and deploy real-time prediction APIs quickly. The platform simplifies the ML process, requiring no prior AI/ML experience to create and deploy models.

Plugn Play Machine Learning provides a platform that automates the machine learning development lifecycle, utilizing pre-built algorithms and streamlined data processing workflows. This solution reduces the time and expertise required for model training and deployment, enabling businesses to implement machine learning solutions more efficiently.

This startup provides a no-code software platform that enables users to quickly generate predictive analytics from complex datasets. By simplifying data analysis, it minimizes the need for technical expertise and significantly accelerates the time required to obtain actionable insights.

Prowth provides a no-code platform enabling CRM and business development teams to leverage advanced AutoML models for customer profiling and next best action recommendations. The platform democratizes data analytics by allowing users to operate analytical projects and generate actionable insights without requiring coding expertise. This results in rapid deployment of optimized campaign, engagement, and promotion strategies informed by sophisticated machine learning.

This company offers a no-code platform to build enterprise-grade applications using regenerative AI for content creation, question answering, and task automation. Their technology enables businesses to design and deploy AI-powered solutions to improve efficiency without requiring coding expertise.

Provides a no-code AI infrastructure platform that enables businesses to develop, deploy, and optimize machine learning models without requiring extensive programming expertise. It streamlines data management, quality auditing, and custom algorithm development, helping organizations improve operational efficiency and reduce costs across industries like logistics, finance, and manufacturing.

ZinkML is a zero-code data science platform that enables data scientists to efficiently ingest, clean, and deploy data workflows without the need for programming. By automating data quality checks and providing a visual interface for model development, it eliminates infrastructure challenges, allowing users to focus on creating predictive models and deriving insights faster.

Sulie provides a foundation model that generates production‑ready time‑series forecasts in seconds through a zero‑shot, no‑code interface. The platform automatically handles data preprocessing, model selection, training, and deployment, delivering high‑accuracy predictions via a web UI or REST API for any industry without requiring ML expertise.

OneBrain offers an enterprise AI platform that integrates generative AI, AutoML, and AI Vision to streamline AI implementation. Their solutions include AI agents, a voice platform, and a data engine to automate tasks and extract actionable insights from data.