Top 5 No-Code AI Platforms by Pricing Tiers
Top 5 No-Code AI Platforms by Pricing Tiers
Jan 28, 2025
Content
Explore the top 5 no-code AI platforms with diverse pricing options, features, and insights to help you choose the best fit for your business needs.
Explore the top 5 no-code AI platforms with diverse pricing options, features, and insights to help you choose the best fit for your business needs.
no-code AI, AI platforms, pricing comparison, business automation, AI tools
no-code AI, AI platforms, pricing comparison, business automation, AI tools
Looking for the best no-code AI platform for your business? Here's a quick guide to the top 5 platforms, their pricing, and key features.
Convogenie AI: $230/year for 5 AI agents and 500 monthly credits. Add-ons available for branding removal and extra credits. Best for small to medium businesses.
Vertex AI Agent Builder: Pay-as-you-go model starting at $12/1,000 queries (Chat) and $0.002/second (Voice). Includes a $1,000 free trial credit. Ideal for enterprises with fluctuating needs.
Cogniflow: Subscription plans starting at $19/month with a free tier for basic use. Credit-based system for AI workloads. Great for non-technical users.
DataRobot: Starts at $99/month for 100,000 predictions. Focused on AutoML and enterprise-grade AI tools. Custom pricing for larger needs.
Google Cloud AI Platform: Pay-as-you-go pricing similar to Vertex AI. Includes Dialogflow CX integration and a $1,000 free trial credit. Best for advanced, scalable AI workflows.
Quick Comparison
Choose based on your budget, team skills, and project size. For simple, cost-effective tools, try Cogniflow. For enterprise-grade features, consider Vertex AI or Google Cloud AI Platform.
No-Code AI Platform Market Revenue Forecast 2024-2023
1. Convogenie AI
Convogenie AI has carved a niche in the no-code AI platform space with its simple pricing and tools tailored for building AI agents. Its MVP Plan, priced at $89 per month, is designed for small to medium-sized businesses aiming to adopt AI without hefty upfront investments.
This plan includes essential features for creating and deploying AI agents. Businesses can manage their usage with AI credits, which are used for training and deployment. To scale further, Convogenie AI offers optional add-ons: Branding Removal and Extra AI Credits
The platform delivers tools like private database integration, customizable chat interfaces, and features for crafting effective AI responses. It also supports unlimited website deployment, letting businesses grow without extra costs.
With the MVP Plan, users can create up to 5 AI agents, each with a 200,000-character capacity, and receive 2,000 monthly AI credits. While there’s no free tier, the pricing remains competitive, offering advanced features without hidden fees.
"No-code AI platforms are crucial for businesses that want to leverage AI technology but lack the technical expertise to do so. These platforms democratize access to AI, enabling businesses of all sizes to automate tasks, improve efficiency, and enhance customer experiences." [1]
Convogenie AI’s straightforward pricing and strong feature set make it an appealing choice for businesses taking their first steps into AI. Up next, we’ll take a closer look at Vertex AI Agent Builder, another notable no-code AI platform.
2. Vertex AI Agent Builder
Vertex AI offers a flexible pay-as-you-go pricing model, allowing businesses to pay only for what they use. This makes it an attractive option for companies needing enterprise-grade generative AI without committing to a subscription.
Here’s a breakdown of the pricing for its key features:
Vertex AI integrates Google's advanced language models and conversational AI technologies. This means businesses can build sophisticated AI applications without needing deep expertise in machine learning, making it a strong choice for enterprise users.
The pay-as-you-go pricing structure scales with usage, which can be beneficial for companies with fluctuating needs. However, high-volume applications could result in higher overall costs.
"Users should carefully calculate these costs based on their projected usage to ensure they choose the most cost-effective plan. The pricing structure of Vertex AI Agent Builder, including costs for queries, voice services, and data storage, can significantly impact the total cost of ownership." [2]
For businesses, the free quota is helpful for initial testing and development. Still, it’s important to consider both query costs and storage needs when planning for long-term use. Additionally, its robust security and compliance standards make it a strong fit for industries with strict regulations.
Next, we’ll dive into Cogniflow, which takes a different approach to no-code AI with its subscription-based model.
3. Cogniflow
Cogniflow offers subscription-based pricing that's easy to predict, unlike Vertex AI's usage-based approach. Its plans cater to businesses of all sizes and come with a range of features, including support for various data types and pre-trained AI models.
Cogniflow uses a credit-based system that combines flexible AI workload management with specific training hour limits. This setup helps users scale their projects based on their needs. Each plan offers different resources to suit a variety of project sizes.
The platform integrates seamlessly with tools like Excel and Google Sheets, making workflows smoother. It also features an AI playground where users can test pre-trained models before committing to full-scale implementation.
The Free Plan is ideal for basic, non-commercial use. For businesses, the Starter Plan unlocks commercial features and chat support. Larger organizations can benefit from the Business or Enterprise plans, which provide more resources and higher levels of support.
Cogniflow supports a wide range of data types, including text, images, audio, and video. Users should monitor their credit usage across these data types to make the most of their resources.
Up next, we’ll dive into DataRobot’s pricing model, which takes a different approach to no-code AI deployment.
4. DataRobot
DataRobot offers a pricing model based on usage, making it easier for businesses to align costs with their actual needs. The standard plan starts at $99 per month for up to 100,000 predictions, while enterprise packages come with custom pricing. The standard plan includes features like AutoML, data preparation, and basic integrations. For those needing more, enterprise plans provide advanced tools such as edge AI deployment, detailed model insights, and priority support.
What sets DataRobot apart is its automated machine learning (AutoML) capabilities and its ability to integrate with various business tools. This makes it easier for companies to incorporate AI into their workflows. The platform also prioritizes security, offering encryption, access controls, and compliance documentation to meet industry standards.
The usage-based pricing provides a clear and predictable cost structure, unlike credit-based systems used by competitors like Cogniflow. This transparency helps organizations better plan their budgets.
For enterprise users, there are added perks such as:
Custom deployment options for tailored solutions
Advanced monitoring tools to track model performance
Access to dedicated support teams
Specialized training to upskill teams
This combination of flexibility and ease of use makes DataRobot a strong option for businesses looking to scale AI without needing deep technical expertise. Up next, we’ll dive into Google Cloud AI Platform’s pricing to see how it compares in terms of cost and scalability.
5. Google Cloud AI Platform
Google Cloud AI Platform comes with a $1,000 free trial credit, valid for one year, and includes a monthly 10 GiB free quota for index storage. This allows users to explore its features without immediate financial commitment.
This platform integrates Dialogflow CX with Vertex AI Agents to create hybrid AI workflows, charging only for the services you actually use. Its pricing follows a pay-as-you-go model, covering chat, voice, and search functionalities. While primarily aimed at enterprises, its pricing can also suit smaller businesses experimenting with AI tools.
Built on Google’s advanced language models and search technology, the platform ensures high-level security and compliance. This setup allows businesses to manage expenses while leveraging cutting-edge AI tools.
Here are some considerations for users:
Advanced setups may require technical expertise.
Heavy usage can lead to rising API and compute costs.
Enterprise workflows might need extra time for integration.
Exceeding the 10 GiB/month storage limit will result in additional charges.
The pricing structure is straightforward, though costs can increase quickly with extensive use. This platform is ideal for businesses needing robust AI infrastructure and advanced features, rather than those looking for simple, small-scale solutions.
Next, we’ll compare the key pricing features of these platforms in a table to help you find the best fit for your needs.
Comparison Table
Here's a breakdown of pricing and features to help you decide which platform aligns with your needs:
The pricing models differ widely. Convogenie AI offers a fixed monthly fee, while Vertex AI Agent Builder and Google Cloud AI Platform charge based on usage, making them more flexible but potentially costly for high-volume needs.
Your choice depends on your goals and technical resources. For example, Cogniflow suits those looking for a simple, user-friendly setup, while Google Cloud AI Platform is better for companies prioritizing security and scalability.
Conclusion
Choosing the best no-code AI platform for your business involves weighing several key factors that can directly influence your success. Each platform brings different strengths to the table, catering to various needs and priorities.
For businesses prioritizing ease of use and cost-effectiveness, Cogniflow stands out with its straightforward interface and predictable subscription pricing. On the other hand, enterprise-level solutions like Vertex AI Agent Builder and Google Cloud AI Platform offer advanced features and flexible, usage-based pricing that adapts as your business grows.
Pricing models are just one piece of the puzzle. When comparing platforms, think about your team's technical skills, scalability needs, and both upfront and ongoing costs. Many platforms, such as Vertex AI, offer trials or credits - like their $1,000 credit - to let you test their capabilities before committing [1][2].
For industries with strict regulations, platforms like Vertex AI provide strong security measures and enterprise-grade functionality, which can justify their higher price points [1][2]. However, higher costs don’t always mean a better fit. Focus on platforms that meet your current needs while also supporting future growth, all within your budget.
The ideal platform will depend on your specific goals and use cases. Look for one that aligns with your immediate priorities and long-term objectives to get the most out of AI for your business.
Looking for the best no-code AI platform for your business? Here's a quick guide to the top 5 platforms, their pricing, and key features.
Convogenie AI: $230/year for 5 AI agents and 500 monthly credits. Add-ons available for branding removal and extra credits. Best for small to medium businesses.
Vertex AI Agent Builder: Pay-as-you-go model starting at $12/1,000 queries (Chat) and $0.002/second (Voice). Includes a $1,000 free trial credit. Ideal for enterprises with fluctuating needs.
Cogniflow: Subscription plans starting at $19/month with a free tier for basic use. Credit-based system for AI workloads. Great for non-technical users.
DataRobot: Starts at $99/month for 100,000 predictions. Focused on AutoML and enterprise-grade AI tools. Custom pricing for larger needs.
Google Cloud AI Platform: Pay-as-you-go pricing similar to Vertex AI. Includes Dialogflow CX integration and a $1,000 free trial credit. Best for advanced, scalable AI workflows.
Quick Comparison
Choose based on your budget, team skills, and project size. For simple, cost-effective tools, try Cogniflow. For enterprise-grade features, consider Vertex AI or Google Cloud AI Platform.
No-Code AI Platform Market Revenue Forecast 2024-2023
1. Convogenie AI
Convogenie AI has carved a niche in the no-code AI platform space with its simple pricing and tools tailored for building AI agents. Its MVP Plan, priced at $89 per month, is designed for small to medium-sized businesses aiming to adopt AI without hefty upfront investments.
This plan includes essential features for creating and deploying AI agents. Businesses can manage their usage with AI credits, which are used for training and deployment. To scale further, Convogenie AI offers optional add-ons: Branding Removal and Extra AI Credits
The platform delivers tools like private database integration, customizable chat interfaces, and features for crafting effective AI responses. It also supports unlimited website deployment, letting businesses grow without extra costs.
With the MVP Plan, users can create up to 5 AI agents, each with a 200,000-character capacity, and receive 2,000 monthly AI credits. While there’s no free tier, the pricing remains competitive, offering advanced features without hidden fees.
"No-code AI platforms are crucial for businesses that want to leverage AI technology but lack the technical expertise to do so. These platforms democratize access to AI, enabling businesses of all sizes to automate tasks, improve efficiency, and enhance customer experiences." [1]
Convogenie AI’s straightforward pricing and strong feature set make it an appealing choice for businesses taking their first steps into AI. Up next, we’ll take a closer look at Vertex AI Agent Builder, another notable no-code AI platform.
2. Vertex AI Agent Builder
Vertex AI offers a flexible pay-as-you-go pricing model, allowing businesses to pay only for what they use. This makes it an attractive option for companies needing enterprise-grade generative AI without committing to a subscription.
Here’s a breakdown of the pricing for its key features:
Vertex AI integrates Google's advanced language models and conversational AI technologies. This means businesses can build sophisticated AI applications without needing deep expertise in machine learning, making it a strong choice for enterprise users.
The pay-as-you-go pricing structure scales with usage, which can be beneficial for companies with fluctuating needs. However, high-volume applications could result in higher overall costs.
"Users should carefully calculate these costs based on their projected usage to ensure they choose the most cost-effective plan. The pricing structure of Vertex AI Agent Builder, including costs for queries, voice services, and data storage, can significantly impact the total cost of ownership." [2]
For businesses, the free quota is helpful for initial testing and development. Still, it’s important to consider both query costs and storage needs when planning for long-term use. Additionally, its robust security and compliance standards make it a strong fit for industries with strict regulations.
Next, we’ll dive into Cogniflow, which takes a different approach to no-code AI with its subscription-based model.
3. Cogniflow
Cogniflow offers subscription-based pricing that's easy to predict, unlike Vertex AI's usage-based approach. Its plans cater to businesses of all sizes and come with a range of features, including support for various data types and pre-trained AI models.
Cogniflow uses a credit-based system that combines flexible AI workload management with specific training hour limits. This setup helps users scale their projects based on their needs. Each plan offers different resources to suit a variety of project sizes.
The platform integrates seamlessly with tools like Excel and Google Sheets, making workflows smoother. It also features an AI playground where users can test pre-trained models before committing to full-scale implementation.
The Free Plan is ideal for basic, non-commercial use. For businesses, the Starter Plan unlocks commercial features and chat support. Larger organizations can benefit from the Business or Enterprise plans, which provide more resources and higher levels of support.
Cogniflow supports a wide range of data types, including text, images, audio, and video. Users should monitor their credit usage across these data types to make the most of their resources.
Up next, we’ll dive into DataRobot’s pricing model, which takes a different approach to no-code AI deployment.
4. DataRobot
DataRobot offers a pricing model based on usage, making it easier for businesses to align costs with their actual needs. The standard plan starts at $99 per month for up to 100,000 predictions, while enterprise packages come with custom pricing. The standard plan includes features like AutoML, data preparation, and basic integrations. For those needing more, enterprise plans provide advanced tools such as edge AI deployment, detailed model insights, and priority support.
What sets DataRobot apart is its automated machine learning (AutoML) capabilities and its ability to integrate with various business tools. This makes it easier for companies to incorporate AI into their workflows. The platform also prioritizes security, offering encryption, access controls, and compliance documentation to meet industry standards.
The usage-based pricing provides a clear and predictable cost structure, unlike credit-based systems used by competitors like Cogniflow. This transparency helps organizations better plan their budgets.
For enterprise users, there are added perks such as:
Custom deployment options for tailored solutions
Advanced monitoring tools to track model performance
Access to dedicated support teams
Specialized training to upskill teams
This combination of flexibility and ease of use makes DataRobot a strong option for businesses looking to scale AI without needing deep technical expertise. Up next, we’ll dive into Google Cloud AI Platform’s pricing to see how it compares in terms of cost and scalability.
5. Google Cloud AI Platform
Google Cloud AI Platform comes with a $1,000 free trial credit, valid for one year, and includes a monthly 10 GiB free quota for index storage. This allows users to explore its features without immediate financial commitment.
This platform integrates Dialogflow CX with Vertex AI Agents to create hybrid AI workflows, charging only for the services you actually use. Its pricing follows a pay-as-you-go model, covering chat, voice, and search functionalities. While primarily aimed at enterprises, its pricing can also suit smaller businesses experimenting with AI tools.
Built on Google’s advanced language models and search technology, the platform ensures high-level security and compliance. This setup allows businesses to manage expenses while leveraging cutting-edge AI tools.
Here are some considerations for users:
Advanced setups may require technical expertise.
Heavy usage can lead to rising API and compute costs.
Enterprise workflows might need extra time for integration.
Exceeding the 10 GiB/month storage limit will result in additional charges.
The pricing structure is straightforward, though costs can increase quickly with extensive use. This platform is ideal for businesses needing robust AI infrastructure and advanced features, rather than those looking for simple, small-scale solutions.
Next, we’ll compare the key pricing features of these platforms in a table to help you find the best fit for your needs.
Comparison Table
Here's a breakdown of pricing and features to help you decide which platform aligns with your needs:
The pricing models differ widely. Convogenie AI offers a fixed monthly fee, while Vertex AI Agent Builder and Google Cloud AI Platform charge based on usage, making them more flexible but potentially costly for high-volume needs.
Your choice depends on your goals and technical resources. For example, Cogniflow suits those looking for a simple, user-friendly setup, while Google Cloud AI Platform is better for companies prioritizing security and scalability.
Conclusion
Choosing the best no-code AI platform for your business involves weighing several key factors that can directly influence your success. Each platform brings different strengths to the table, catering to various needs and priorities.
For businesses prioritizing ease of use and cost-effectiveness, Cogniflow stands out with its straightforward interface and predictable subscription pricing. On the other hand, enterprise-level solutions like Vertex AI Agent Builder and Google Cloud AI Platform offer advanced features and flexible, usage-based pricing that adapts as your business grows.
Pricing models are just one piece of the puzzle. When comparing platforms, think about your team's technical skills, scalability needs, and both upfront and ongoing costs. Many platforms, such as Vertex AI, offer trials or credits - like their $1,000 credit - to let you test their capabilities before committing [1][2].
For industries with strict regulations, platforms like Vertex AI provide strong security measures and enterprise-grade functionality, which can justify their higher price points [1][2]. However, higher costs don’t always mean a better fit. Focus on platforms that meet your current needs while also supporting future growth, all within your budget.
The ideal platform will depend on your specific goals and use cases. Look for one that aligns with your immediate priorities and long-term objectives to get the most out of AI for your business.
© Copyright Convogenie Technologies Pvt Ltd 2025
© Copyright Convogenie Technologies Pvt Ltd 2025
© Copyright Convogenie Technologies Pvt Ltd 2025