Best no-code AI tools
Artificial intelligence (AI) is transforming businesses, but its complexity has often been a barrier to entry. No-code AI solutions offer a viable solution for making AI accessible to non-developers, allowing for the creation and deployment of AI without coding.
Instead of building AI models from scratch, no-code platforms feature drag-and-drop interfaces, pre-built models, and automation. Some tools may offer low-code capabilities to allow users with programming knowledge to execute advanced customization with minimal coding.
With a projected revenue of $49.5 billion by 2033 and an annual growth rate of 28.3% from 2023 to 2033, the rise of the no-code AI platform industry will continue to open new possibilities for businesses across sectors.
Benefits of no-code AI for businesses and individuals
No-code automation allows businesses and individuals to develop powerful applications without extensive development knowledge. It accelerates the development of AI solutions, lowers costs, and simplifies customization to make AI more accessible and efficient.
1. Increased accessibility for small businesses and entrepreneurs
With no-code AI, there are no technical barriers to AI adoption. As a small business owner or an entrepreneur, you can build AI solutions without hiring expensive developers or data scientists.
2. Faster deployment of AI-powered solutions
Traditional AI development requires:
- Writing code
- Structuring data
- Cleaning data
- Training the model
- Debugging
No-code and low-code AI can help you reduce the time required for coding tasks by up to 45% and cut the time needed to document code functionality by up to 50%.
3. Cost-effectiveness compared to traditional AI development
Building an AI solution from scratch requires skilled developers, infrastructure, data collection and processing, custom model development, and ongoing maintenance. No-code AI lets you use ready-to-use models at a price that makes AI more affordable.
4. Flexibility and integration with existing business tools
Most no-code AI platforms integrate with popular business tools like CRM software, marketing automation, data analytics, cloud storage services, communication tools, and more. Such flexibility allows your business to enhance its existing workflows without overhauling your entire tech stack.
Key uses of no-code AI
- AI-powered chatbots for customer services: To reduce human support workload, companies use no-code AI to deploy chatbots that handle up to 70% of routine customer inquiries.
- Predictive analytics for sales forecasting: No-code platforms allow businesses to implement predictive analytics in their sales systems to reduce forecast errors.
- Automated data entry and document processing: The financial industry is using no-code AI to automate data entry and document processing, which drives economic impact that extends across productivity, efficiency, cost management, and improved experience.
- AI-powered image and video analysis: AI-powered image and video analysis are crucial tools for enhancing security measures. Organizations like international airports use no-code tools to deploy AI solutions for video surveillance to support their operators.
- AI-enhanced marketing automation and personalization: Today, e-commerce businesses use no-code AI to automate email campaigns and product recommendations using AI-driven customer behavior analysis.
The best no-code AI tools
1. Jotform AI Agents
Jotform AI is a no-code AI tool that pioneered codeless form building. With a visual drag-and-drop interface, you can automate different workflows and create virtual assistants and chatbots without coding. The quick setup process lets you create customer service agents to offer real-time assistance, personalized conversations, and instant form guidance. While you get thousands of templates, you can personalize your agent’s look and feel to match your brand, boost customer satisfaction, reduce response time, and provide a seamless experience.
Developer: Jotform
Best for: Developing customer service agents
Key features: No-code chatbot creation, seamless integration, automated workflows
Pros: Intuitive drag-and-drop interface, customizable chatbot responses to match brand identity, eliminates the need for expensive developers or complex AI model training
Cons: The free plan has Jotform branding on forms
Plan/pricing:
- Starter — Free forever — Five forms, 100 monthly submissions, 1,000 monthly form views
- Bronze — $34 per month — 25 forms, 1,000 monthly submissions, 10,000 monthly form views
- Silver — $39 per month — 50 forms, 2,500 monthly submissions, 100,000 monthly form views
- Gold — $99 per month — 100 forms, 10,000 monthly submissions, 1,000,000 monthly form views
- Enterprise — Custom pricing — Unlimited forms, monthly submission, storage, Multiuser platform
G2 rating: 4.7
2. Amazon SageMaker
Amazon SageMaker is one of the most comprehensive machine-learning tools available today. Developed by AWS, it allows users to build, train, and deploy various machine-learning models. You can also set SageMaker to scale automatically, eliminating the need for manual infrastructure management.
Developer: AWS
Best for: Users looking for diverse capabilities
Key features: Comprehensive AI capabilities, no-code and low-code flexibility, optimized for enterprise and small businesses
Pros: Supports end-to-end machine learning development, the autopilot feature allows easy experimentation, the Ground Truth feature combines manual and automated data labeling for high-quality training data set
Cons: Complex pricing plans
Plan/pricing: Amazon SageMaker pricing is usage-based; costs depend on the resources used for your AI’s training, deployment, and data processing
G2 rating: 4.3
3. Akkio
Founded in 2019, Akkio is a no-code AI tool meant for sales and marketing teams. It allows marketers to train AI models for customer data analysis, campaign performance prediction, and automated decision-making.
Developer: Akkio, Inc.
Best for: Advertising agencies
Key features: Predictive analytics for ad performance, pre-built templates, data visualization
Pros: Free for life basic plan, data visualization reduces the time spent analyzing data, automated mode tuning ensures best performance with minimal user intervention
Cons: Limited deep customization capabilities
Plan/pricing:
- Basic — Free — Chat explore, chat data preparation, live generative business intelligence dashboards
- Pro — $99 per user per month — AI model training, future trends prediction, deployment-ready models
- Build-On — From $999 per user per month — Whitelabel chat explore, insight reports, access API for all Chat and ML features
- Enterprise — Custom pricing — Dedicated infrastructure, custom LLMs, advanced white labeling, role and client-base access controls
G2 rating: 4.5
4. Teachable Machine
Teachable Machine is an experimental no-code/low-code AI tool from Google that allows anyone with a modern browser and webcam to train a model without prior experience. Launched in 2017, the tool lets you train a website or an app to recognize sound, images, and poses in four steps: gathering the sample, training the model, testing, and improving the model.
What’s interesting about Google’s Teachable is that you can download your model as a TensorFlow.js file and host it on Teachable Machine for free to integrate it with any website or mobile app.
Developer: Google
Best for: Powerful, free capabilities
Key features: Easy data input, simple training process, real-time model testing
Pros: Multiple export options enable cross-platform deployment; 100% free, lowering the entry barrier for individual and small businesses; versatile input options
Cons: Limited customization and flexibility make it less suitable for complex or large-scale AI projects
Plan/pricing: Free forever
G2 rating: N/A
5. CreateML
CreateML is a no-code AI tool developed by Apple. It is exclusively designed to help macOS users build and train machine learning models even without prior machine learning expertise. With CreateML, you can develop models for image recognition, text classification, sound classification, and value prediction using structured data.
Developer: Apple
Best for: Existing Apple users
Key features: No-code to low-code transition, optimized for performance, fast prototyping and deployment
Pros: The intuitive drag-and-drop interface doesn’t require strong ML skills, the simplest way to develop ML models on macOS, easy integration with Xcode and Swift for easy app deployment
Cons: Limited to macOS users
Plan/pricing: CreateML is free to use. However, you might have to subscribe to the Apple Development Program at $99/year to deploy your ML app on the App Store and access Apple’s advanced tool.
G2 rating: N/A
6. DataRobot
DataRobot is a pioneering AI and machine-learning platform that allows businesses to transform raw data into actionable insights. Founded by DataRobot, Inc. in 2012, this platform offers a suite of AI tools for non-developers to speed up and simplify the process of creating predictive models. The best feature of DataRobot is its capability to help users create predictive AI models without coding. You simply upload the data set, and the platform tests numerous machine learning algorithms that best fit your data.
Developer: DataRobot Inc.
Best for: Predictive models
Key features: Automated machine learning, model interpretability, data prep
Pros: Automates the entire machine-learning workflow, supports large datasets for enterprise-level AI application, flexible deployment options
Cons: High costs as pricing is enterprise-focused
Plan/pricing: Book a demo to discuss pricing
G2 rating: 4.4
7. Clarifai
Clarifai is a no-code AI platform focused on computer vision, natural language processing (NLP), and automated data labeling. Founded in 2013, it provides businesses with pre-trained AI models and a user-friendly interface to build AI applications without coding.
Developer: Clarifai
Best for: Image and video recognition
Key features: Pre-trained AI models, automated data labeling, scalable application programming interface (API) access
Pros: Comprehensive AI capabilities, flexible AI and integration, scalable for different business sizes
Cons: The free tier is limited
Plan/pricing:
- Free — Up to 1K API calls per month, pre-trained models, community support
- Essential — From $30 per month — Up to 30K API calls per month, local development model containers, upload any model, email support
- Professional — From $300 per month — Up to 100K API calls per month, train and fine-tune models, email support
- Hybrid-Cloud AI Enterprise — Custom pricing — Unlimited API calls, dedicated account manager
G2 rating: 4.3
8. Zams
Founded in 2020 by Zams (formerly Obviously AI) excels in helping businesses build predictive models. It lets you quickly turn raw data into predictive AI tools, making data science available to people without technical skills.
Developer: Zams, Inc.
Best for: Predictive analytics
Key features: Comprehensive analytics dashboard, instant machine learning models, natural language queries
Pros: User-friendly interface for non-technical users, automates complex processes for quick AI deployment, supports various data sizes and complexity
Cons: Limited customization
Plan/pricing: It has three paid tiers — Startup, SMB, and Enterprise — however, you’ll need to contact them for a pricing quote
G2 rating: 4.0
9. Nanonets
Nanonets was founded in 2017 to help businesses extract, classify, and process data from various documents without manual intervention. With Nanonets, you can easily train and deploy machine learning models for accurate data extraction.
Developer: Nanonets
Best for: Intelligent document processing
Key features: Automated data extraction, no-code workflow automation, seamless integration
Pros: Generous trial offer, AI models continuously improve with more data, supports multiple languages and file formats
Cons: Advanced AI customization options are limited
Plan/pricing:
- Pay As You Go — From $200 in free credits — Data extraction AI, Data importation from various sources
- Credit Accelerate — Custom pricing — All pay-as-you-go features, custom integration,generative AI
- Enterprise — Custom pricing — All Credit Accelerate features, auditing and file management capabilities, model versioning
G2 rating: 4.8
10. AI Squared
AI Squared is a no-code/low-code platform from AI Squared, Inc. It allows organizations to integrate AI and machine learning into their existing business applications to render insights directly into front-end apps.
Developer: AI Squared, Inc.
Best for: Business web applications
Key features: Data and AI integration; open-source reverse extract, transform, and load (ETL); data apps
Pros: Accelerates AI deployment, enhances collaboration between data scientists and business users, open-source tools allow for customization and flexibility in data integration processes
Cons: Users may still require some training to fully use all features and capabilities
Plan/pricing:
- Community — Free — Unlimited sources, unlimited destinations, one user
- Growth — Custom pricing — Everything in the Community Plan, unlimited users
- Enterprise — Custom pricing — Everything in the Growth Plan, deployment flexibility, advanced security features
G2 rating: 4.4
The future of no-code AI
There’s no doubt about it. The future is no-code. The trend that started as a way to simplify software development is gradually democratizing AI, making it accessible to businesses and individuals without technical expertise. And what does the future hold?
Over the next decade, industries like healthcare, finance, and retail will see widespread adoption of AI-driven automation to streamline workflows and reduce operational costs.
As innovation in no-code space accelerates, we can expect more sophisticated AI tools that require minimal setup. Businesses can experiment with AI-driven apps without the barriers of traditional development.
Choose the right no-code AI tool for your business
The right no-code AI tool for you and your team depends on your specific goal, budget, and required AI capabilities. If you’re looking for a platform to help you deploy different types of chatbots or virtual assistants, you’ll find Joform AI handy with thousands of AI agent templates for different needs. Alternatively, if you want to build models for diverse applications and budget isn’t a limiting factor, DataRobot would be an excellent option.
Regardless of your choice, though, you want to utilize a tool’s trial period or free plan to test it before committing to a paid plan. Contact us today to discuss how Joftorm AI can help you deploy AI-powered chatbots and virtual assistants that match your branding needs.
Photo by SEO Galaxy on Unsplash
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