How Much Does Artificial Intelligence Cost in 2024? | AI Development Cost

We are cutting down the AI development cost in 2025. Our AI development cost range vary between $1000 to $100,000. Google, Amazon. IBM, Capital One and McDonald’s. What do all these companies have in common?

Artificial Intelligence: Complete AI Development Pricing Explanation

Whether it’s the entire process of ranking web pages or the voice taking orders in a walk-thru, AI has touched every business operation. And for good reasons.

All businesses strive to achieve efficient, error-free and convenient operations. And artificial intelligence gives this to them. The power of AI can manage huge amounts of data and analyze them to identify the best action. And that’s just the tip of the iceberg.

The best part is that AI can be molded into any industry and business. But, despite the benefits promised by the emerging technology, building AI software can get expensive. Considering the variables involved in the development process, most companies often hesitate to move forward with their AI idea.

So, let’s get the question out of the way once and for all -

How Much Does Artificial Intelligence Cost?

The cost of AI can start from as low as $1000 and go upwards of $100,000. But this is just a general estimation. The final price can only be determined after evaluating the requirements and the resources put into use.

Do you have an AI idea but don’t know how to begin? Take the first step and reach out to our experts. Discuss your idea and get guidance on how to move forward. Call now.

AI Development Cost Breakdown

Custom or Off-the-Shelf	$5000-$100,000
Prototype Development	Starts from $15000
Software Cost	$10,000-$20,000
Maintenance	Upwards of $20,000/year

NOTE: The cost presented in the table is a general estimation. Consult a professional to get a complete breakdown of your project requirements.

Additionally, there are factors that play a significant role in determining the cost of AI development Sevices. Let’s discuss them in detail.

Factors Affecting the Cost of Artificial Intelligence

Several variables are at play when it's a matter of the cost of developing AI software for your business. For starters, artificial intelligence is not of one type. There’s AI that’s pretty much used everywhere and easy to develop. Then there’s AI, that’s still in its fetal stage. The cost will vary depending on where your project lies in this spectrum.

So, before you ask for the cost of AI development, you must first place your project in the right bracket. Here are a few factors that will determine the cost of your AI project.

Type of Project

First, you must determine whether you need a custom AI solution or an off-the-shelf one. A custom solution would involve developing the AI from scratch and training it for the purpose you wish to achieve. On the other hand, off-the-shelf AI is a set of algorithms already structured to perform a specific task. These can be integrated into your business operations and molded accordingly.

All custom AI solutions must meet the expectations and specifications of the business. The process takes time and effort, from ideation to deployment. For instance, ERP software with heavy configurations can take months to complete. For this reason, custom AI development can easily cost between $5000 and upwards of $150k.

On the contrary, off-the-shelf AI solutions are like packaged products that can be used without much effort. For instance, companies can use pre-built chatbots offered by TARS, DRIFT or Hubspot. These chatbots can cost $99 to $500 per month.

Type of AI Software

AI is an umbrella term that features multiple AI software, each designed to perform a different set of tasks and for different outputs. For instance, one business may need a chatbot and another an AI analysis system. You may have seen this tech in action in AI tools like content generators and Paraphrase tools. Both require different development processes and resources and therefore have different costs.

So, based on the most common use cases of AI in business, its types are broadly categorized into three classes-

• Technology-based AI
• Functionality-based AI
• Capability-based AI

Technology-Based AI

It includes AI solutions based on various technologies. Robotic process automation, speech recognition, computer vision and data science are some well-known examples. These AI technologies can be used in multiple industries ranging from a call center to a hospital.

Functionality-Based AI

As the name suggests, these AI solutions are classified based on the functions they perform. Some of its types are reactive machines, limited memory, theory of mind and self-awareness.

Reactive machines are made to process immediate information and act in the moment without information about past experiences.

Limited memory AI makes optimal decisions based on limited data from past experiences. One of the most well-known examples of limited-memory AI is chatbots. Its function is to provide immediate solutions to the user based on specific triggers and thus simulate human conversation. Businesses in all industries have adopted chatbots, raising the demand for chatbot development services.

Theory of mind and self-awareness AI is still emerging and closer to human consciousness than any other AI software.

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Capability-Based AI

Once the functionality of AI software is built, it slowly gains an identity based on its capability or specific attribute. Some widely used capability based AI software are-

• Artificial Narrow Intelligence (ANI): Examples: Siri, face recognition, self -driving cars, etc.
• Artificial General Intelligence (AGI): Examples: ROSS intelligence system, GPT, Music AIs, etc.
• Artificial Super Intelligence (ASI): Consists of hypothetical, extremely self-aware machines which are still under development.

AI-As-A-Software Service

Artificial Intelligence as a Service (AIaaS) is a cloud-based service that offers artificial intelligence (AI) outsourcing. With its convenience and flexibility, AIaaS enables businesses to experiment with AI and even use AI to produce large-scale use cases. It allows experiments with different public cloud platforms, services, and machine learning algorithms, providing ease and adaptability.

AIaaS is not just a way but the fastest way to deploy AI-based technologies. With AI, complex data can be handled more quickly, making the process more efficient. The primary factors include data expenses, project complexity, infrastructure, development, deployment, regulatory compliance, and ongoing maintenance. AI-As-a-software development costs start at an average of $30,000 for small to mid-scale projects, and the cost ranges from $50,000 for large-scale projects

AI Task Requirements

Based on the business requirements, AI software is molded to fit the specifics. The requirements can vary at different levels. Any business or organization looking to integrate this technology must consider the following factors in order to determine the task requirements of the AI. This will further help determine the cost of AI development. You may have seen this tech in action in AI tools like content generators and Paraphrase tools

• The level of intelligence you aim to achieve with your AI.
• The amount, quality and type or data (structured or unstructured) you will be feeding to the AI.
• The minimum level of accuracy you wish to achieve with the algorithm.
• The complexity of the AI project. Simpler AI like chatbots require less complex infrastructure compared to more intricate AI software. The integrity of such softwares will rely on the technological structure provided by the business which includes a cloud based backend, additional APIs, cloud dashboard, voice assistant, streaming tools, etc.
• Any prospect of scaling the software in the future which will lead to additional challenges and raise the cost of development.

These factors, together, will determine the task requirements of your AI software and further help developers scope out the technology and process necessary for its creation.

AI Features

What makes AI solutions different are its features. Based on the task requirements, you may have to include certain features and exclude the others. For instance, if your project includes the task of generating texts or answering questions, you will have to include natural language processing. Similarly, deep learning is associated with machine learning. Likewise, you may want to include speech or image recognition features into your AI.

Whichever may be the feature, it will impact the final cost of AI development. That’s because achieving high accuracy and data processing via AI is only possible if the process you industry trusted features. And these features add up to the final cost.

Hardware Costs

Whether you are building AI software in house or sourcing it from a third party company, you will have to incur the costs of hardware. This cost is generally not included in the AI software development solutions provided by a hired company like Suffescom. Since they handle the software development aspect only. However running that AI algorithms need power to process and analyze data. It handles large volumes of computations which need equally powerful and specialized infrastructure to support the process. So, your business will have to incur hardware expenses besides the AI software development cost.

In the case of AI, there’s the option of on premises hardware or cloud based hardware. The former includes GPUs to train neural networks and perform computations, application specific integrated chip (ASIC) designed to deliver high performance and TPUs that accelerate workloads. Each of these hardwares are expensive and require heavy investment.

Cloud based hardware for backend and dashboard may be cost effective alternatives to some on premises hardware. Only an expert can tell you which is most suitable for your business.

Manpower

It’s not just the technology that adds to the final cost, but also the labor involved in implementing it. Even in a small business, the AI development team can cost an upwards of $100,000 per year.

Any team involved in AI development will include many important roles. For example, a general composition of the team includes - a data scientist, machine learning engineer, AI developer, software developers and project manager. The cost of each member varies in terms of skills and experience. And based on the team members assigned to your project, the cost will also vary.

Management and Maintenance

Management of an AI software can be done by an in-house or an outhouse team. While an in-house team may cost more, an outhouse team eliminates the expense of in-house costs such as per member salaries.

Now, building an AI is one thing, maintaining it is another. While the algorithm can be trained to do computations and process data initially, it will require timely updates and maintenance from the team to ensure that the AI progresses with the changing requirements of the business. This in turn delivers maximum efficiency and performance.

Project Duration

Finally, the cost of AI development will depend on the duration it takes to build your software. The duration will depend on all the factors discussed above. For instance, building a basic version of an AI will cost less and require less time compared to an MVP version.

Whether you are outsourcing or employing an in-house team, longer durations means that the members will have to dedicate more time and efforts which will raise the final cost.

Begin Your AI Project With Us At Lowest Price in The World

If all these factors leave you baffled, let our experts bring some clarity to you. We have been creating success stories of tech-powered projects since 2013 and are aware of the right way to help you build your AI project.

Some of the AI technologies we use are -

• Machine Learning
• Computer Vision
• Business Intelligence
• Robotic Process Automation
• Deep Learning
• Conversational AI
• Multimedia Analysis
• Sales Intelligence

We Follow a Set Process to Bring Your Project to Fruition. Our Step by Step Process is As Follows:

• Ideation: We note down your requirements and move forward based on the evaluation.
• Project Setup: We assign the team and build a roadmap for your AI project.
• Development: Our experts design the product and ensure the accuracy of every code before deployment.
• Deployment: After thorough testing, we deploy the AI project and further test it for any inconsistencies.
• Maintenance and Support: After deployment, we ensure to update your software based on the increasing requirements.

Wait no more. If your business requires the touch of AI technology, embrace it today with our help. Get in touch with our experts for a free consultation today.

• AI Development Cost