AI App Development Cost in 2026 – Know How Much Your App Will Cost

The cost to develop an AI app typically ranges between $20,000 and $150,000+, depending on the app’s complexity, AI capabilities, integrations, and data requirements. Businesses building simple AI chatbots may spend less, while advanced applications using custom machine learning models, computer vision, or predictive analytics require significantly higher investment.

As artificial intelligence adoption accelerates across industries, understanding the AI app development cost has become a crucial step for startups, enterprises, and investors planning intelligent digital products.

According to industry reports, the global artificial intelligence market is expected to reach approximately $1.84 trillion by 2030, growing at a CAGR of around 32.9%.

This rapid expansion reflects the increasing demand for AI powered applications across sectors such as healthcare, fintech, eCommerce, customer support, and enterprise automation.

As an AI development company, Biz4Group builds a wide range of AI solutions including SaaS based AI chatbots, intelligent automation platforms, and custom AI features integrated into existing enterprise software. Through these projects, one of the most common questions we receive from businesses is:

“How much does it cost to develop an AI app?”

In this guide, we break down the complete cost of AI app development, including:

• estimated price ranges for different AI app types
  • factors that influence the cost to build an AI application
  • industry wise AI development cost estimates
  • ways to optimize development expenses using modern AI frameworks and cloud infrastructure

Based on real project experience, the average AI app development cost falls between $20,000 and $150,000+, though the final budget depends heavily on the scope, AI models, integrations, and scalability requirements.

Let’s explore the complete cost breakdown and how businesses can build AI powered applications efficiently.

Why Do You Need to Consider Cost while Developing an AI App?

Understanding the AI app development cost is essential for businesses planning to build intelligent applications. Proper cost estimation helps companies allocate resources effectively, prioritize features, and ensure the project delivers strong return on investment.

Careful financial planning also reduces the risk of project failure, which is common in artificial intelligence initiatives. Industry reports suggest that only about 53% of AI projects successfully move from prototype to full production, highlighting the importance of structured development and cost planning.

Below are some key reasons why businesses must evaluate the cost to build an AI app before starting development.

1. Better Budget Planning

Estimating the cost of AI app development allows organizations to create a realistic development budget. This helps decision makers determine whether the project requires external funding, phased investment, or gradual feature rollout.

2. Clear Development Roadmap

Understanding costs helps teams divide the project into manageable stages. A phased approach ensures that businesses build essential features first while minimizing unnecessary spending.

3. Higher Return on Investment (ROI)

Strategic cost planning ensures resources are invested in features that deliver real business value, such as automation, data insights, or improved customer experience.

4. Reduced Risk of AI Project Failure

Many AI initiatives fail because companies attempt to build complex solutions all at once. Developing an AI application in structured phases increases the chances of success and allows teams to validate the product early.

A typical AI app development lifecycle includes the following stages:

• Wireframing: defining user flows and application structure
  • Prototyping: building a visual model of the AI solution
  • Minimum Viable Product (MVP): launching the first functional version with core features
  • User Acceptance Testing (UAT): validating the AI app with real users
  • Minimum Marketable Product (MMP): releasing a refined version ready for the market
  • Feature Expansion: continuously adding advanced AI capabilities based on feedback

Following this phased development strategy helps businesses control the overall cost of AI app development while gradually improving the product.

Also Read: Step-by-Step Guide: How to Integrate Chatbot in Website?

Why Now is the Perfect Time to Invest in AI Apps: Insights into the Booming Intelligent App Market

With artificial intelligence rapidly transforming industries, now is the ideal time to invest in AI app development. Businesses across the globe are shifting toward AI-enabled solutions to gain a competitive edge, streamline operations, and personalize user experiences at scale.

According to market research, the global AI apps market reached nearly $2.94 billion in 2024 and is projected to grow to $5.13 billion by 2025, with an impressive CAGR of 38.7% through 2030.

This exponential growth reflects not just rising demand but also the increasing return on investment of intelligent applications, making the cost of AI apps more of a strategic investment than a simple expense.

Startups and enterprises alike are actively seeking reliable AI app development cost estimates to better plan budgets, manage risk, and launch impactful applications in high-opportunity sectors like healthcare, eCommerce, fintech, and customer support.

Whether you're a tech entrepreneur or a CTO, investing in AI app development now could position your business ahead of the curve, especially while cloud infrastructure and pre-trained AI models are making the cost of intelligent app development more accessible than ever before.

What is the Cost of Building an AI App?

Before diving into detailed estimators, it is important to understand the core pricing tiers that influence the development cost of an AI app. The figures below will help you estimate an average cost to build an AI app based on complexity, AI depth, and the number of integrations your project requires.

These ranges give a clear picture of the cost of creating an AI app and help answer the common question: how much does it cost to make an app with AI.

AI App Development Cost Estimator – Get a Quick Quote

When businesses plan for an AI app, one of their first questions is: “How much will it cost?” On average, AI app development costs range between $20,000- $150,000+, depending on multiple variables like the type of app, feature set, data needs, and integration complexity.

To make early decision-making easier, embedding an AI app development cost estimator helps users get a rough quote instantly based on selected inputs.

AI App Development Cost Estimator Formula:

Estimated Cost = Base App Type Cost + (AI Feature Costs × Complexity Factor) + Integration Cost + UI/UX Design + Data Management Cost

Where:

• Base App Type Cost = Starting cost for a specific app type (e.g., chatbot, image detection)
• AI Feature Costs = NLP, ML models, sentiment analysis, etc.
• Complexity Factor = 1x to 2x multiplier based on the scope of work
• Integration Cost = CRM, ERP, third-party API connections
• UI/UX Design = Visual design and front-end interactivity
• Data Management = Collection, labeling, and model training support

Example Breakdown:

Let’s say a company wants to build an AI chatbot with CRM integration and sentiment analysis:

• Base App Type (AI Chatbot): $20,000
• AI Features (Sentiment Analysis + NLP): $15,000
• Complexity Factor:2×
• CRM Integration: $10,000
• UI/UX Design: $10,000
• Data Management: $5,000

Estimated Cost = ($20,000 + $15,000) × 1.2 + $10,000 + $10,000 + $5,000 = $67,000

Why Add This Estimator?

Including a "Get Instant Estimate" tool or calculator on your website:

• Boosts lead generation by engaging curious users
• Provides transparency on the cost of intelligent app development
• Helps users visualize how AI app development cost estimates vary
• Increases conversion rates by offering instant value

The tool can be as simple as dropdowns or sliders where users select options like:

• Type of AI app
• AI capabilities (e.g., NLP, computer vision)
• Required integrations
• Hosting preference (cloud/on-premise)

With the rising demand and inquiries around AI app cost, offering a dynamic estimate tool gives your business a competitive edge.

Get a custom cost estimate and take the first step toward building your intelligent AI app with confidence.

Also Read: How to Build an AI App: A Step-by-Step Guide for 2025

AI App Development Cost – Factors that Influence

Several factors influence the cost of AI app development, including the complexity of the application, the expertise of the development team, data requirements, technology stack, system integrations, and post deployment monitoring. Understanding these elements helps businesses estimate the cost to build an AI app more accurately and plan their development budget effectively.

Below are the most important factors that impact AI app development cost.

1. Scope and Complexity of the App

The scope and complexity of features play a major role in determining AI development costs. Applications with basic functionality, such as simple AI chatbots or recommendation systems, generally require lower investment.

However, AI apps that include advanced capabilities like image recognition, natural language processing (NLP), predictive analytics, or automation workflows require more development time, advanced algorithms, and extensive testing.

More complex AI systems often require:

• custom machine learning models
• large data processing pipelines
• advanced model training
• continuous performance optimization

For example:

• AI travel planner apps typically cost between $20,000 and $80,000
• AI image detection systems may cost $50,000 to $200,000

2. Development Team and Expertise

The experience and size of the development team significantly influence the cost of AI app development.

Less experienced teams may offer lower development rates, but they often lack exposure to advanced AI frameworks, which can lead to longer development cycles, frequent errors, and costly rework.

Highly skilled AI engineers, data scientists, and ML specialists usually charge higher rates. However, their expertise helps ensure:

• faster development timelines
• better model accuracy
• fewer technical issues
• scalable system architecture

Working with experienced AI developers can ultimately reduce long term project risks and costs.

3. Data Requirements

High quality data is the foundation of any successful AI application. AI models require large volumes of clean, structured, and labeled data to generate accurate predictions and insights.

The data preparation process includes several stages, each contributing to the overall AI application development cost.

Typical data related costs include:

1. Data collection from multiple sources: $5,000 to $20,000
2. Data cleaning and preprocessing: $10,000 to $30,000
3. Data labeling for supervised learning: $15,000 to $50,000
4. Secure data storage infrastructure: $5,000 to $20,000 annually
5. Data updates and maintenance: $10,000 to $40,000 annually
6. Legal and compliance requirements: $5,000 to $15,000

Proper data management is essential to ensure reliable AI model performance.

4. Technology and Tools

AI applications require specialized technologies such as programming languages, machine learning frameworks, cloud platforms, and DevOps tools.

Common technologies used in AI development include:

• programming languages such as Python and R
• ML libraries like TensorFlow, Pandas, and PyTorch
• cloud platforms including AWS, Google Cloud, and Azure
• containerization and DevOps tools for deployment

The cost of implementing these technologies can range between $10,000 and $50,000, depending on the complexity of the project and infrastructure requirements.

5. Integration with Existing Systems

Many businesses build AI capabilities that must integrate with their existing digital infrastructure, such as CRM systems, ERP platforms, HR software, or internal databases. These integrations allow companies to enhance their current platforms with intelligent automation rather than building an entirely new system.

Integrating AI systems typically requires:

• custom API development
• secure data pipelines
• compatibility and performance testing
• modifications to the existing system architecture

For example, a company may add AI powered resume parsing to its existing HRMS platform to automate recruitment process using AI. This allows the system to automatically screen resumes, extract candidate data, and shortlist applicants based on predefined criteria. However, integrating AI into an existing HR platform requires careful customization to ensure secure and accurate data exchange between systems.

Because of the technical complexity involved, AI integration costs typically range between $20,000 and $100,000, depending on the number of systems involved, API requirements, and the complexity of the existing infrastructure.

6. Monitoring & Analytics

AI applications require continuous monitoring and performance optimization after deployment. Monitoring tools help track model accuracy, system performance, and user engagement metrics.

Post launch AI maintenance may include:

• performance monitoring
• AI model retraining
• bug fixes and updates
• analytics dashboards
• security improvements

These ongoing operational costs usually range between $5,000 and $20,000 annually.

Also Read: Most Innovative AI Case Studies of 2024 – Success Stories

Use-Case Wise Cost of AI App Development

The cost of AI app development varies significantly depending on the use case, AI capabilities, and level of system complexity. Applications with basic natural language processing or recommendation engines require lower investment, while AI solutions involving advanced analytics, computer vision, or healthcare diagnostics require higher development budgets.

The table below provides an overview of the estimated cost to build different types of AI applications along with their common features and real-world use cases.

Cost to Build an AI App: Complete Timeline and Phase-Wise Breakdown

The cost to create an AI app is typically distributed across several development phases, including planning, design, MVP development, AI model training, testing, and deployment. Each stage contributes to the overall AI mobile app development cost and ensures that the final product is scalable, reliable, and ready for real-world use.

Understanding how the budget is allocated across the AI development lifecycle helps businesses manage investments more effectively and avoid unexpected expenses.

Below is a phase-wise breakdown of the AI app development cost structure and the key activities involved in each stage.

1. Planning & Discovery – $5,000 to $10,000

This phase involves understanding your business goals, defining the app’s purpose, target users, required AI features, and outlining the project scope.

Key Activities:

• Market research & competitor analysis
• AI feasibility assessment
• Project requirement gathering
• Rough timeline and budget planning

This step sets the foundation and ensures clarity before major investments begin.

2. UI/UX Design – $8,000 to $15,000

User interface and experience design ensure that the app is intuitive and user-friendly, while also making room for AI-driven interactions.

Key Activities:

• Wireframing and user flow
• High-fidelity design mockups
• Design of AI interaction points (chat windows, visual outputs, etc.)

Great design reduces friction and enhances user trust in AI functionality.

3. MVP Development – $15,000 to $35,000

MVP development is a crucial phase in the AI app journey. The Minimum Viable Product (MVP) is your app’s first functional version. It includes essential features, without full AI sophistication, and allows early testing.

Key Activities:

• Core front-end and back-end development
• Basic integration (APIs, databases)
• Initial deployment on staging

This version helps validate the product concept before scaling AI capabilities.

4. AI Model Development & Training – $20,000 to $50,000

This is the most intensive and critical phase for AI-based applications. The cost depends on whether you're training custom models or using pre-trained APIs.

Key Activities:

• Data collection and preprocessing
• AI model selection or creation
• Model training, testing, and optimization
• Integration of AI logic into the app

For apps requiring natural language processing, image detection, or recommendation engines, this phase drives major development costs.

5. Testing & QA – $5,000 to $15,000

Ensures your AI app performs accurately, reliably, and securely before going live. This includes both functional testing and AI performance validation.

Key Activities:

• Unit testing, integration testing
• UAT (User Acceptance Testing)
• AI model performance evaluation
• Bug fixing and optimization

Especially critical for AI apps, as models must be validated for real-world accuracy.

6. Deployment & Post-Launch Support – $7,000 to $25,000

The final stage includes launching the app in the production environment and providing ongoing support, updates, and model re-training if needed.

Key Activities:

• Final deployment (App Store, cloud, internal systems)
• Monitoring and analytics integration
• Maintenance and model updates
• Post-launch user feedback integration

Ongoing support is essential to keep your AI models relevant and high-performing.

By distributing your budget wisely across these AI app development cost phases, you can ensure optimal use of resources, higher success probability, and measurable ROI.

Table Overview of AI App Development Cost on the Basis of Phases

This phase-wise breakdown is essential for business owners and tech leads to plan the development process effectively, avoid cost overruns, and align their strategy with technical realities.

Cost of Developing an AI App by Industry / Sector (2026 Estimates)

The cost of developing an AI app varies significantly by industry, as each sector requires different AI capabilities, regulatory compliance, integrations, and data processing requirements. For example, healthcare AI apps often require strict data security and regulatory compliance, while social media AI platforms focus more on recommendation algorithms and content moderation.

The table below shows the estimated AI app development cost by industry in 2026, helping businesses compare budgets and identify the investment required for different types of AI applications.

AI Application Development Cost by Industry (2026 Estimates)

These estimates help you quickly compare AI application development cost by industry so you can plan the right features, budget, and strategy before starting your AI app project.

Hidden Factors Affecting AI App Development Cost

In addition to the core development expenses, several hidden factors can significantly increase the overall AI app development cost. These elements are often overlooked during early planning but can substantially impact the total budget required to build, deploy, and maintain an AI-powered application.

Below are some common hidden costs businesses should consider when estimating the cost to build an AI app.

1. Data Privacy and Security – $10,000 to $50,000+

AI applications that process sensitive information must comply with strict security and regulatory standards. For example, healthcare applications may require HIPAA compliance, advanced encryption, secure authentication systems, and data governance frameworks.

Organizations often use enterprise AI platforms or specialized compliance tools to meet these requirements, which can significantly increase development costs.

2. Licensing Fees for AI Models and APIs – $1,000 to $20,000+ annually

Many AI applications rely on third-party services such as large language models, computer vision APIs, or speech recognition tools. Platforms like OpenAI GPT models, Google Vision AI, and other AI services usually follow usage-based pricing models.

As application traffic grows, the licensing cost can increase depending on API calls, token usage, and data processing volume.

3. Scalability and Infrastructure – $5,000 to $40,000+ annually

AI applications designed for large user bases require scalable cloud infrastructure, GPU computing resources, and distributed data processing systems.

For example, recommendation engines used by streaming platforms must handle millions of users and real-time data processing. Building scalable AI infrastructure using cloud platforms like AWS, Azure, or Google Cloud can significantly increase operational costs.

4. Continuous Iteration and Model Improvement – $5,000 to $25,000 annually

AI systems continuously evolve after deployment. Developers often need to retrain models, refine algorithms, and improve prediction accuracy based on real user data.

Regular updates, feature enhancements, and performance optimization require ongoing engineering effort, which adds to the long-term AI application maintenance cost.

5. AI Model Training and Computational Resources – $10,000 to $100,000+

Training machine learning models requires high-performance GPUs, cloud training environments, and large datasets. The cost depends on the model size, dataset complexity, and training duration.

Custom deep learning models, large language models, or computer vision systems can require significant computational resources during training.

Hidden costs such as security compliance, API licensing, scalable infrastructure, continuous model improvement, and AI training resources can add $30,000 to $150,000+ to the total AI app development cost depending on the scale of the project.

Some Famous AI Business Applications' Development Costs

When evaluating the cost to develop an AI app, it's useful to look at the development costs of well-known AI business applications. These popular AI applications serve as benchmarks and provide insight into the factors influencing pricing.

1. Virtual AI Customer Agents like Drift - $50,000 to $100,000
2. Resume Parsing Software like Zoho Recruit - $40,000 to $120,000
3. AI-powered Writing Assistant like Textio - $50,000 to $110,000
4. Sales Analytics and Insights like Gong.io - $60,000 to $130,000
5. AI-powered Grammar Checker like Grammarly - $80,000 to $200,000
6. AI Budgeting and Financial Assistant like Cleo - $70,000 to $150,000
7. AI CRM Software like InsightSquared - $70,000 to $150,000
8. Predictive Analytics Tools like Looker - $30,000 to $100,000
9. AI-powered Inventory Management like TradeGecko - $60,000 to $140,000
10. AI-powered Customer Support like Freshdesk - $40,000 to $90,000

How to Optimize AI App Development Cost

Now, the point is, as a businessperson how you can optimize AI app development cost for your business. Here are some insights on how you can optimize the cost of AI app development:

1. Using Pre-built AI Models and APIs

You can simply leverage pre-built AI models and API solutions. This eliminates the need for bearing cost for developing AI models from scratch.

Additionally, pre-built models are created and refined by industry experts, which enhances the probability of high accuracy and reliability.

For example, an AI chatbot development company use OpenAI's GPT API or Google's Dialogflow API instead of building an AI model from scratch. This way, you can easily integrate natural language processing capabilities, high accuracy, and reliability, while saving time and resources on development and training.

2. Agile Development Methodology

In agile development methodology, projects are divided into small units – named “sprints”. Each sprint is meant to deliver a specific set of features. Sprints also lead to early detection of issues.

Moreover, iterative testing is an integral part of agile methodology. Such testing ensures a continuous feedback loop, wherein errors can be identified and rectified on time. Thus, this methodology leads to less costly rework, when it comes to developing AI apps.

Most importantly, an iterative development approach can support your phase-wise development process.

3. Cloud Services and Infrastructure

Leveraging cloud services for AI development leads to reducing huge upfront costs of purchasing and maintaining physical hardware. Cloud services fall under pay-as-you-go model wherein fluctuating workload can be managed on and off. Additionally, cloud services also provide access to advanced AI tools so that there is less dependency on in-house expertise.

Further costs can be reduced as cloud providers also handle infrastructure maintenance, security, and updates.

However, some of our enterprise clients wanted on-premises data hosting due to data security. This means apps that handle sensitive data (i.e. patient health data) might require on-premises or private hosting on the cloud.

How Biz4Group LLC Optimize Your AI App Development Cost?

As a leading AI app development company in USA, Biz4Group helps businesses develop an AI app in budget through a strategic, transparent, and cost-efficient development approach. Acting as Trusted Advisors, we guide clients across every stage of the AI journey—planning, model selection, architecture design, development, deployment, and ongoing optimization. Our expert team combines technical excellence with practical business insight, which is why companies rely on our AI consulting services to make smarter, more cost-efficient decisions.

Biz4Group’s methodology focuses heavily on AI app development cost optimization, ensuring every feature delivers real value while avoiding unnecessary expenditures. By leveraging agile workflows, reusable code libraries, pre-trained AI models, scalable cloud architectures, and industry-specific accelerators, we effectively reduce the cost of making an AI app without compromising performance, quality, or future scalability.

We further support clients through robust post-development assistance, continuous monitoring, AI model retraining, and feature enhancements—ensuring your application remains secure, up-to-date, and fully prepared for long-term growth.

Real Projects Where Biz4Group Optimized AI App Development Cost

Biz4Group LLC has successfully delivered numerous AI-powered applications across industries, consistently helping clients control expenses, accelerate launch timelines, and maintain product excellence.

1. AI-Powered Personal Fitness App – Built Smart, Delivered Within Budget

View Project: AI Personal Fitness App

This multi-domain wellness platform focuses on physical, mental, spiritual, social, nutritional, and sleep improvement. Biz4Group optimized development costs by:

• Using pre-trained LLMs for personalized insights
• Reusing UI components and modules
• Building a scalable cloud-native architecture

These decisions helped the client develop an AI app in budget while offering advanced goal tracking and behavior-based recommendations.

2. AI Mental Health App for Dementia Support – Human-Centered, Budget-Optimized

View Project: AI Mental Health App for Dementia patients

To support early- to mid-stage dementia patients with cognitive and social tasks, Biz4Group implemented:

• Lightweight AI models for daily assistance
• Efficient data flows to minimize storage and processing costs
• Modular architecture for easy expansion

The client benefited from a high-impact healthcare solution while staying within the planned AI mobile app development cost.

3. AI Custom Workout App – Advanced VLMs Without High AI Costs

View Project: AI Workout App

This fitness intelligence platform uses Vision-Language Models (VLMs) for body composition analysis and muscle tracking. Biz4Group optimized cost by:

• Utilizing quantized models for efficiency
• Implementing serverless pipelines to reduce compute usage
• Reusing algorithmic components from previous fitness projects

These cost-saving strategies enabled the client to receive a powerful AI-driven workout app without exceeding budget expectations.

4. AI-Powered Social Media App – High-Performance AI on a Startup Budget

View Project: AI Social Media App

This next-gen social platform enables users to create AI-generated images and videos. Biz4Group minimized development costs through:

• Pre-trained generative AI integrations
• On-demand GPU cloud resources
• Optimized media pipelines to control storage and bandwidth costs

The result was an innovative, scalable AI social app built within a realistic development budget.

Why Businesses Trust Biz4Group for Cost-Optimized AI Development?

With a proven track record of delivering industry-ready AI solutions, Biz4Group offers:

• Faster delivery with agile & modular development
• Predictable pricing with transparent cost planning
• Optimized cloud infrastructure for minimal ongoing expenses
• Scalable architectures designed for future growth
• Long-term support without hidden costs

No matter the industry—fitness, mental health, social media, enterprise, or real estate—Biz4Group ensures you develop an AI app in budget while achieving exceptional performance, scalability, and ROI.

Conclusion

The cost of AI app development typically ranges between $20,000 and $150,000+, depending on factors such as application complexity, AI capabilities, integrations, data requirements, and infrastructure scalability. Simpler AI applications like chatbots or recommendation systems usually fall on the lower end of the range, while advanced AI platforms involving machine learning models, computer vision, or predictive analytics require significantly higher investment.

Throughout this guide, we explored the key elements that influence the cost to build an AI app, including:

• app scope and feature complexity
• AI model development and training
• data collection and preparation
• technology stack and cloud infrastructure
• integrations with existing systems
• ongoing monitoring and maintenance

Understanding these factors helps businesses plan realistic budgets, prioritize essential features, and launch AI powered products more efficiently.

Whether you are building a dating platform, fitness application, real estate solution, or intelligent social platform, a well planned development strategy ensures your AI application remains scalable, reliable, and cost effective over time.

Partnering with an experienced AI app development company in the USA can further reduce risks and accelerate the development process. With the right expertise, businesses can design intelligent solutions that deliver measurable value while staying within budget.

At Biz4Group, our team combines industry expertise, modern AI frameworks, and scalable cloud architectures to build high performing AI applications. From early-stage planning to post launch optimization, we help businesses develop AI solutions that are innovative, efficient, and ready for long term growth.

Ready to build your AI powered application?
Connect with Biz4Group today to discuss your project and receive a customized AI app development cost estimate.

Frequently Asked Questions

1. How much does it cost to create an app with AI?

The development cost for an app with AI features typically ranges from $60,000 to $150,000.

2. How much does AI development cost?

AI development costs range from $20,000 for simple AI models to $200,000+ for advanced AI systems.

3. How much does it cost to develop an app?

For general web or mobile app development that doesn’t use AI, costs can range from $30,000 for basic apps to $100,000+ for enterprise-grade AI solutions.

4. What are the main factors influencing AI app costs?

Key factors that influence AI app development cost include app complexity, data processing needs, development team expertise, integration requirements, and ongoing maintenance.

5. How much does maintenance of an AI app cost?

Maintenance generally costs 15 to 20 % of the initial development cost per year. Beyond routine fixes, you should also plan for ongoing cloud hosting, AI API usage, data updates, and scaling as your user base grows. These additional elements make up the real total cost of ownership for an AI app.

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