11 Best Low-Code AI Platforms that Actually Work

Quick Summary

This article explores the 11 best low code AI platforms for 2026. You'll get an overview of their AI capabilities, no-code features like visual builders, and key differentiators. Each platform includes pricing details, pros and cons to help you make an informed decision. Read on to find the best low code AI platform for your specific use case.

 

Tool	Best For
Launchpad	Building Enterprise Grade B2B workflow-centric software products applications with enterprise features built in
Appsmith	Building internal business tools with a balance of code and no-code capabilities
FlutterFlow	Building fully functional cross-platform native Flutter apps

Looking for the best low-code AI platforms?

Building apps from scratch means burning resources on features you've built dozens of times before.

Your engineering team has limited bandwidth, which gets entirely consumed rebuilding infrastructure elements. The technical debt from this traditional approach prevents your teams from building new, differentiated features.

You could hire more developers, but that's an increasingly expensive and time-consuming solution.

The modern approach uses low code AI platforms that can develop repetitive infrastructure in hours instead of weeks. This leaves your team free to focus on features that make your application unique.

This guide explores the 11 best low code AI platforms with an overview of capabilities, pricing, and key features.

Why listen to us

At Launchpad, we've helped software companies eliminate months of infrastructure work and ship production-ready B2B SaaS applications faster.

Built on Pegasystems' 40-year legacy serving the world's largest enterprises, we understand the real challenges software teams face: technical debt, bandwidth shortages, and pressure from AI-native competitors. Our experience building enterprise-grade workflow automation gives us unique insight into what actually works when evaluating low code AI platforms.

What are low code AI platforms?

Low code AI platforms combine visual development tools with artificial intelligence to accelerate application development. Instead of writing every line of code manually, these platforms provide drag-and-drop interfaces, pre-built components, and AI-powered features that generate code, suggest workflows, or create entire application structures from text descriptions.

The "low code" part means you'll still write some code for custom logic or complex integrations, but the platform handles repetitive infrastructure work. The "AI" part varies significantly. Some platforms use AI to generate complete applications from prompts, while others offer AI copilots that assist with specific development tasks like database schema design or code generation.

These platforms are designed to help development teams ship faster by eliminating undifferentiated work like authentication systems, database setup, and deployment infrastructure.

11 best low-code AI platforms

Low Code AI Platform	Key Selling Point	Target Audience	Free Trial	Free Plan	Starting Price
Launchpad	AI-generated blueprints of B2B SaaS apps with built-in enterprise infrastructure	Software companies building B2B SaaS	Yes, 3 months for startups	Yes	$900/mo
Appsmith	Open-source internal business tool builder	IT teams	Yes	Yes	$15 per user/mo
FlutterFlow	Native Flutter apps with full code access	IT teams	Yes	Yes	$15.60/mo
Dify	Open-source LLMOps platform for building and deploying AI apps	AI engineers and developers	Yes	Yes	$59
Base44	Fully natural language-based app development	Non-technical teams in small businesses	No	Yes	$16/mo
Langflow	Visual LangChain builder for RAG and multi-agent AI systems	AI engineers familiar with LangChain	Open source	Open source	Open source
Appian	Enterprise BPM with AI-powered automation	Large enterprises	Yes, Community Edition	No	Contact sales
Betty Blocks	AI-generated React apps with BPMN process modeling	Mix of developers and non-IT teams	No, demo available	No	Contact sales
Adalo	Progressive web apps and mobile app builder	Non-technical entrepreneurs	No	Yes	$45/mo
Mendix	Enterprise low-code platform with AI assistance	Large enterprises	Yes	Yes	€900/month
Kissflow	Citizen-developer-friendly workflow automation	Citizen developers in mid-size businesses	Yes (on request)	No	$2,500/mo

 

1. Launchpad

Launchpad helps SaaS product teams launch multi-tenant, production-ready applications without building custom infrastructure for billing, environments, security, or compliance. Built by Pegasystems, it's a full-stack SaaS foundation for ISVs and product teams shipping commercial B2B software.

Unlike lightweight low-code tools designed for internal dashboards or single-tenant workflows, Launchpad is purpose-built for commercial SaaS delivery. Tools optimized for internal teams break down when you need tenant isolation, usage-based billing, regulatory compliance, or controlled deployment pipelines. Launchpad addresses these requirements natively.

Blueprint AI generates your complete architecture design from a text description—data models, workflows, multitenancy configuration, environment isolation, and audit logging included.

You customize using the visual workflow builder to orchestrate B2B processes with human approval gates and system automation. Pre-built components handle user management, subscription administration, and usage reporting.

Write code only for differentiated logic. Deploy custom functions via AWS Lambda when needed.

Key Features

• Blueprint AI generates complete SaaS architecture design
• Native multitenancy with tenant isolation
• Built-in environment management and deployment pipelines
• Usage-based billing and subscription logic
• Audit logging and compliance tooling
• Auto-scaling AWS infrastructure with managed DevOps
• Amazon Bedrock integration for AI capabilities

Pricing

Launchpad offers a free plan and a startup program with 3 months free. Paid plans start at $900/month with usage-based pricing that lets you start small and scale as you grow.

Pros

• Production-ready SaaS infrastructure from day one
• Eliminates months of work on billing, multitenancy, and compliance
• Built on Pegasystems' 40-year Fortune 500 track record
• Purpose-built for commercial B2B SaaS
• Native support for regulatory compliance and audit requirements

Cons

• Higher starting price than consumer-focused platforms
• Focused on B2B SaaS rather than general-purpose apps
• Newer platform (launched 2024) vs. established alternatives

 

2. Appsmith

Appsmith is a low-code AI platform for building internal business tools with AI assistance. You can build admin panels, dashboards, customer support systems, and data management apps through its visual builder.

The platform is truly low-code (not no-code), so you'll need to code more often than you might expect. The drag-and-drop interface handles the basics, and you'll drag and drop widgets and bind them to data.

However, custom widgets require HTML/CSS/JavaScript. You'll also need coding for custom business logic (JavaScript) and complex queries (SQL).

Appsmith does allow creation of simple custom widgets using natural language prompts. You can also ask its AI copilot to generate code for custom business logic.

Key Features

• Open-source with self-hosting option
• AI generates queries and code from natural language prompts
• Custom JavaScript objects for business logic
• AI-powered custom widget generation
• Extensive library of pre-built widgets
• Self-hosting option for data security

Pricing

Appsmith offers a free plan with core features. The Business plan costs $15 per user/month, while Enterprise pricing is custom based on your needs.

Pros

• Open-source flexibility and transparency
• Strong community and plugin ecosystem
• Self-hosting option for sensitive data
• Good balance between visual development and code control

Cons

• Requires JavaScript knowledge for anything beyond basic apps
• Steeper learning curve than pure no-code platforms
• AI features are limited compared to newer platforms

 

3. FlutterFlow

FlutterFlow is built by ex-Google engineers on Google's Flutter framework, which enables truly native apps for iOS, Android, and web from a single project.

The platform is drag-and-drop for most development using pre-built components.

But you can also build extensively with AI. You can generate entire pages and individual UI components from text descriptions. The AI can also create components from images. The Page Autocomplete feature suggests new page elements based on what you've already built. FlutterFlow can also bring your Figma designs to life.

You can build and deploy AI agents into your apps using the AI agent builder.

Key Features

• Page and component generation from plain language
• Component generation from images
• Figma design import
• Full Flutter code export
• AI Agent Builder for conversational AI features
• Cross-platform native app deployment

Pricing

FlutterFlow has a free plan for getting started. Paid plans include Standard at $15.60/month, Pro at $70/month, and Teams at $70 per user/month for collaborative development.

Pros

• Generates truly native mobile apps (not web wrappers)
• Full code export gives you complete control
• Strong AI generation capabilities for UI
• Active community and template marketplace

Cons

• Requires Flutter/Dart knowledge for advanced customization
• Mobile-first focus may not suit web-centric projects
• Some complex native features still require custom code

 

4. Dify

Dify is open source, which immediately sets it apart from other low-code AI platforms on this list.

The platform is specifically for building AI applications—chatbots, AI agents, RAG systems, anything involving large language models.

Users work with a visual workflow builder that is node-based. A node can be an LLM call, a retrieval step, a condition check, a tool invocation, a user input, or another component. You drag and connect these nodes inside the canvas to define your app's flow.

Key Features

• Open-source with self-hosting option
• Visual workflow builder for AI applications
• Support for numerous LLMs (OpenAI, Anthropic, local models)
• Prompt IDE for testing and comparison
• Built-in RAG capabilities with vector database support

Pricing

Dify is free to self-host as open source. Cloud options include a free Sandbox plan, Professional at $59/month, Team at $159/month, and custom Enterprise pricing.

Pros

• Open source with active development community
• Specifically designed for LLM applications
• Supports wide range of AI models
• Strong RAG and vector search capabilities

Cons

• Limited to AI-specific use cases
• Requires understanding of LLM concepts and workflows
• Self-hosting requires DevOps knowledge

 

5. Base44

Base44 is a fully conversational low-code (or no-code) AI app builder.

It attempts to handle everything through natural language. You define your app idea, and the AI generates your entire app. If you want changes, those also happen through plain English.

The AI decides your app's database schema, UI, workflows—everything. However, this total autonomy creates problems. The AI makes assumptions based on your description, and sometimes those assumptions don't match what you actually want. You might need several iterations to get something satisfactory.

The platform can build a range of business apps like productivity tools, back-office systems, and customer portals.

Key Features

• App generation from text descriptions
• Live deployment of apps as you build
• Conversational iteration for app refinement
• Serverless functions for custom logic
• Built-in database and hosting

Pricing

Base44 has a free plan to try the platform. The Professional plan costs $16/month, with custom Business pricing for larger teams.

Pros

• Extremely accessible for non-technical users
• Fast initial prototyping
• No learning curve for the interface
• Affordable pricing for small businesses

Cons

• AI assumptions can miss the mark significantly
• Limited control over technical implementation
• May require many iterations to get desired results
• Not suitable for complex or enterprise applications

 

6. Langflow

Langflow is an AI app builder from 2023 that is open source.

The platform lets you build AI agents and RAG applications through a visual interface with nodes and connections. The nodes represent and perform similar functions to those in Dify.

The entire platform is built on top of the LangChain LLM framework, so the visual builder's library is full of pre-built components for LangChain operations.

Langflow also offers agents. You can run multiple agents in parallel and make each handle a different task with its own tools and logic.

Key Features

• Visual LangChain workflow builder
• Pre-built components for RAG, embeddings, and vector stores
• Agents that can execute tasks in parallel
• NVIDIA RTX GPU support with Ollama for local deployment
• Integration with major LLM providers

Pricing

Langflow is free to self-host as open source. DataStax offers a managed version with a free tier and usage-based paid plans for higher volumes.

Pros

• Open source with active community
• Built specifically for LangChain users
• Strong agent and multi-agent capabilities
• Local deployment option with GPU support

Cons

• Requires LangChain and LLM knowledge
• Steep learning curve for beginners
• Limited to AI/LLM use cases
• Self-hosting requires technical setup

 

7. Appian

Appian has been around since 1999. Its focus used to be Business Process Management (BPM), but now it's a full low-code application builder with process automation as its main feature.

You model your app's processes (steps that need to happen in sequence) in a visual builder, then Appian orchestrates everything.

AI in Appian appears in multiple ways. There's an AI copilot that can generate code and answer questions.

There's also generative AI for building applications. You can upload a PDF about an app idea and get a functional app based on it.

Appian also supports AI agents to automate open-ended work within business processes.

Key Features

• Visual process builder for workflow automation
• AI copilot for code generation and guidance
• Process automation with RPA bots
• Page generation from PDF documents
• AI agents for business process automation
• Enterprise-grade security and compliance

Pricing

Appian offers a free Community Edition with limited features. Paid plans use enterprise licensing based on users and usage—contact sales for pricing details.

Pros

• Mature platform with 25+ years of development
• Strong enterprise adoption and trust
• Excellent for complex process automation
• Robust compliance and security features

Cons

• Complex pricing structure
• Steep learning curve for full platform capabilities
• Expensive for smaller organizations
• AI features still developing compared to newer platforms

 

8. Betty Blocks

Betty Blocks launched as a no-code platform in 2016 but shifted toward low code as customers needed more customization.

The Betty Genius feature can generate a working prototype from text prompts. The code is in React and TypeScript, so you can export it outside the platform and customize.

You can also start with a pre-built application template from the templates gallery. Or you can use the drag-and-drop visual builder to build pages, model business processes, and map action workflows.

Betty Blocks writes frontend components in React. If your team knows React, you can customize the frontend.

The platform caters to fusion teams where both citizen developers and technical developers have tools to build things their own way.

Key Features

• React/TypeScript app generation from text
• Block Store marketplace with pre-built modules
• Drag-and-drop visual builder
• Support for backend and frontend customization
• BPMN process modeling
• API-first architecture

Pricing

Betty Blocks requires contacting sales for pricing. They offer demos upon request and use an enterprise licensing model.

Pros

• Flexible for both technical and non-technical users
• Code export in React/TypeScript
• Strong marketplace ecosystem
• Good for fusion teams

Cons

• No transparent pricing
• Requires demo/sales conversation to evaluate
• React knowledge needed for frontend customization
• Less modern than newer AI-first platforms

 

9. Adalo

Adalo makes it possible for non-technical people to build real iOS and Android apps without code. It can also build responsive web apps that work across desktop, tablet, and mobile.

The platform has templates for common app types like booking apps, e-commerce, social networks, and directories.

If you're building something unusual, you can start with a blank canvas in the visual builder.

Adalo has two AI features called MagicStart and MagicAdd. You use natural language prompts in MagicStart to get a complete starting database with relationships handled. If you need new database features when you already have an app, you can build those with MagicAdd using natural language prompts.

You can also connect Adalo to Gen AI models to add AI features to your apps.

Key Features

• One-click publishing to iOS and Google Play
• Progressive web app support
• Database schema generation from plain language with MagicStart
• MagicAdd to modify and add database features with text prompts
• Template marketplace
• Custom actions and integrations

Pricing

Adalo has a free plan for testing. Paid plans include Starter at $45/month, Professional at $65/month, Business at $200/month, and custom Enterprise pricing.

Pros

• Very accessible for non-technical users
• Real native app deployment
• Good template library
• Affordable entry point

Cons

• Limited customization without code
• Can hit platform limitations on complex apps
• AI features are basic compared to competitors
• Performance issues reported on complex apps

 

10. Mendix

Mendix supports full-stack development of sophisticated enterprise applications using a drag-and-drop interface.

You can also build with Mendix AI assistance (Maia).

Developers can chat with Maia in plain language to get expert guidance on anything they're building. Maia can also generate complete domain models and advanced workflows based on natural language prompts.

There's also a Best Practices Bot that inspects your application model and compares it against Mendix standards. The bot can also automatically implement fixes.

Key Features

• Mendix AI assistance (Maia) for app development using natural language prompts
• Mendix Assist Logic Bot that provides context-aware expert guidance
• Best Practices Bot that can detect issues and auto-implement fixes
• Visual domain and workflow builder
• Multi-cloud deployment options
• Enterprise-grade security and governance

Pricing

Mendix offers a limited free plan. The Standard plan starts at €900/month, with custom Enterprise pricing for larger organizations.

Pros

• Mature enterprise platform with strong track record
• Comprehensive AI assistance throughout development
• Strong governance and compliance features
• Multi-cloud flexibility

Cons

• Expensive for small teams
• Complex platform with learning curve
• Overkill for simple applications
• European pricing (€) may require currency conversion

 

11. Kissflow

Kissflow is an AI-powered low-code platform that allows citizen developers (finance, operations, non-IT roles) to build their own apps without relying on IT.

You can describe what you're trying to do, and the AI suggests fields for your forms. For example, if you're building a "Travel Reimbursement" workflow, it'll recommend fields like "Destination," "Travel Date," "Amount," and "Receipt Upload."

You can drag those suggested fields into your form, or refresh to get more options. You can also adjust your own fields manually.

Most work in Kissflow isn't AI-driven. You'll use the drag-and-drop interface for most development. For instance, you'll map the workflow of your forms in the visual builder.

Kissflow lets you write code snippets for custom events that trigger when something happens.

Key Features

• AI-suggested form fields and workflow steps
• Visual workflow builder
• Automatic data extraction from documents
• Natural language search across apps
• JavaScript for coding custom events and hooks
• Pre-built process templates

Pricing

Kissflow doesn't offer a free plan but provides trials on request. Pricing starts at $2,500/month, with custom Enterprise pricing available.

Pros

• Designed specifically for citizen developers
• Good balance of simplicity and capability
• Strong workflow automation features
• Document processing capabilities

Cons

• Expensive starting price
• No free plan for evaluation
• AI features are basic compared to newer platforms
• Better suited for internal tools than customer-facing apps

Build with the lowest code

Most of these low-code AI platforms will deliver results for their specific use cases. But if you're a software company launching B2B SaaS products, you face unique challenges. Every project needs authentication, multi-tenancy, scaling, compliance, and integrations. Most platforms make you assemble these pieces yourself.

Only Launchpad's Blueprint AI generates all of this from a text description. You customize the blueprint and ship instead of starting from zero every time. Start with Launchpad and eliminate weeks of infrastructure work.