AI development services
– the strategic way

Q: "How do AI product development services affect web development?"

"For the past years, the artificial intelligence (AI) technologies trend have shaped the web development landscape. Over the last few years, AI-powered modules have become one of the most desired features of software platforms and applications. As such, they require an adequate system architecture to work smoothly, which has a strong impact on how these systems are developed. However, many web and mobile applications are not AI-powered and are not intended to be, at least in the near future. They can still benefit from AI-assisted development, e.g. Quality Assessment & code review. "

Q: "What are the costs of artificial intelligence/machine learning development services?"

"There are certain factors that impact the final cost of AI/ML development services. These include: using off-the-shelf components, team composition, quality of data, project scope, costs of the infrastructure, integration, and maintenance, etc.). That’s why it is so difficult to assess this cost without knowing the details. In general, the costs of AI product development services vary from $10-20K for a simple Proof of Concept, which will help you validate the idea of using AI to solve a specific business problem, to $50-500K for the full implementation. The reliable estimation needs to start with having a closer look at your needs, requirements, and possibilities to assess the solution’s complexity and the work it requires. Read more: How much does it cost to implement AI in an FMCG company? What’s the cost of artificial intelligence in healthcare? "

Q: "How big should an AI development team be?"

"There is no fixed team size for artificial intelligence development services. Depending on your requirements, the team composition in an AI project may vary. Also, note that the AI development team may not need to be limited to data scientists and a scrum master. If you need your AI models to integrate with a system you already use, you will need a software engineer(s). If you need to build new dashboards, interfaces, or whole apps to allow for easy use of the model, you will also need designers. When choosing your AI development company, it is worth checking the additional services they provide. "

Q: "How to apply AI development solutions in web development?"

"If you want to build an AI-powered web application, you need to start with designing the architecture that will make it possible to integrate various AI models. To make it “future proof”, we suggest you not focus solely on the models that you’re starting with. Don’t focus only on the temporary needs. Instead, try to identify all the places that have the potential to be AI-powered in the future – regardless of the data you have right now or your current business processes, needs, and priorities. Thanks to that, you will be able to plan the whole architecture of that new system in a way that will make it possible to integrate other artificial intelligence models in the future. "

Q: "Why is artificial intelligence important for web development?"

"Artificial intelligence development changes web development in many ways. On the one hand, it is transforming how web apps are developed. AI-powered tools for developers can automate some tasks (therefore reducing the development time), improve the code quality, or even suggest optimizations in design based on users’ behavior. On the other hand, it requires web apps and systems to be written in a certain way that enables integration with artificial intelligence models. For sure, it is an important trend that will have a significant impact on web development. "

Q: "How to choose the right AI and ML development services?"

"Machine learning uses various types of algorithms: neural networks, linear regression, logistic regression, clustering, decision trees, random forests, etc. The choice of a specific algorithm should be adjusted to your project and your business needs. Often, it is necessary to test a few algorithms to find the one that is most suitable for the specific use case. "

Q: "How to choose a provider for enterprise AI development services?"

"Enterprise AI development poses some extra challenges that do not usually concern smaller businesses. These may include, e.g.: Regulatory and Compliance Issues: Enterprises operate in highly regulated environments. The AI development solutions must comply with legal and ethical standards. Moreover, privacy concerns and policies such as GDPR impact data handling, model explainability, and user consent. All that needs to be taken into consideration when planning AI adoption. Data Complexity and Scale: Enterprises deal with vast amounts of data from various sources, making data quality, integration, and scalability critical. Handling large-scale data pipelines and real-time processing requires robust infrastructure and efficient algorithms. Integration with Existing Systems: Integrating AI solutions with legacy systems, ERP software, and other tools can be complex and go beyond the standard AI/ML development services. Compatibility issues, security protocols, and seamless data flow between systems need careful planning. Choosing an AI software development company for enterprise projects requires extra consideration. To shortlist the best providers, take a look at their portfolios (see if they have a track record of successful enterprise projects) and ask how they tackle challenges related to compliance, integrations, data complexity, or any other issues that concern your organization. "

Unlock the hidden potential of data to drive tangible business results – and do it faster than you’d expect.

Let’s talk about AI for your business

Harness the
power of AI…

Optimize internal processes or amaze your clients with custom AI-based products. Leap into a whole new world of possibilities and use AI to boost your business’ performance, enhance your team’s efficiency and build AI-powered software with the potential to win the market.

…with the help of
a trusted partner

No matter what type of AI you need — generative AI, machine learning, predictive analysis, natural language processing, or other — we’ve got you covered! With a highly-skilled AI development team and years of experience with AI-powered projects, we’re here to help you build software based on advanced AI models.

Thinking of AI adoption?

Let's talk your vision through

Is your business ready for AI adoption?

You know how to work with R&D projects

AI projects are much like experiments — and in order to get on board with AI development, you need to be ready to test ideas, and let some of them fail.

You have the understanding
of data-driven culture

Don’t underestimate the human factor of AI — it’s created to augment your team, so you need to get them ready for being more data-driven and AI-friendly.

You found the right AI use case

Identifying the proper use case is one of the common bottlenecks to successful AI adoption. But worry not, we’ll help you find a solution that addresses your needs best.

Power up your business with the right AI development use case

Predictive analytics

Use AI to get valuable insights about your business’ future and make smarter, data-driven decisions.

Recommender systems

Use personalized, AI-based recommendations to boost customer engagement, increase sales and more.

Dynamic pricing

Adjust your prices automatically. Use dynamic pricing for higher margins and better conversion rates.

Scoring models

Use AI to assess the value of items, evaluate conversion’s probability or verify credit risk (lead/credit scoring).

Generative AI

Unlock new possibilities with GPT, Midjourney, Stable Diffusion and many more Gen AI models.

…or something else

Your options are not limited to those above! Whatever your right AI use case is, we’ll help you find it.

Need help to kick off your AI development journey?
Let’s talk and get you prepared

See how others leveraged the potential of AI

Gen AI turning customer interactions into actionable intelligence

Within just 8 months, we built a complex platform allowing companies to use customer interactions as a source of profound business insights.

See the study

10 weeks to build a course recommender system

An AI-based platform recommends the right courses to support employees’ development at one of the world’s biggest financial institutions.

See the study

Reducing customer churn by more than 20%

Thanks to implementing predictive models, our client improved customer offering and achieved more than 10x return on investment.

See the study

Setting business up for AI adoption

In less than one month, we validated the idea of using AI to improve sales rates in a British telecom company — with over 91% success probability!

See the study

Gen AI turning customer interactions into actionable intelligence

Within just 8 months, we built a complex platform allowing companies to use customer interactions as a source of profound business insights.

swipe for more

See the study

10 weeks to build a course recommender system

An AI-based platform recommends the right courses to support employees’ development at one of the world’s biggest financial institutions.

swipe for more

See the study

Reducing customer churn by more than 20%

Thanks to implementing predictive models, our client improved customer offering and achieved more than 10x return on investment.

swipe for more

See the study

Setting business up for AI adoption

In less than one month, we validated the idea of using AI to improve sales rates in a British telecom company — with over 91% success probability!

swipe for more

See the study

We were really hyped up with the workshops and the method. We appreciate the input of the AI development team and the involvement of the team leader, which made us feel taken seriously. It was very valuable. The way of working in data projects is not obvious, but Neoteric helped us choose the right method.

Frederick Himperich, COO & CTO at Traffective

Source: Clutch.co

Neoteric way of AI development

The key to successful AI development is the right approach — and we’ve got all it takes to support you fully from Day 1.

Initial talks

First: a no obligation consultation to understand your needs & answer questions. Next: a tech call to dig to the core of your project and choose the best starting point for it.

Workshops

During tailored workshops we help you determine potential AI use cases for your business or polish the ideas you already have & we set the road map to test and validate them.

The report

After the workshops, you get an extensive report including a detailed action plan, estimates for building PoC & prognosis for your AI product development.

Proof of concept(s)

The PoCs’ role is to prove that chosen AI use cases can (or cannot) deliver tangible value to your organization — and to choose those worth moving forward with.

Kick-off meeting

That’s when you meet the team carefully selected for your project & we discuss all the essential points of our collaboration. Then — we get to work!

AI development

Here’s where the real fun starts. Our teams are always loyal to the Scrum methodology and iterative approach — it’s crucial in AI projects as they require lots of experiments & flexibility

Frequently asked questions about AI development services

How do AI product development services affect web development?

For the past years, the artificial intelligence (AI) technologies trend have shaped the web development landscape. Over the last few years, AI-powered modules have become one of the most desired features of software platforms and applications. As such, they require an adequate system architecture to work smoothly, which has a strong impact on how these systems are developed.

However, many web and mobile applications are not AI-powered and are not intended to be, at least in the near future. They can still benefit from AI-assisted development, e.g. Quality Assessment & code review.

What are the costs of artificial intelligence/machine learning development services?

There are certain factors that impact the final cost of AI/ML development services. These include: using off-the-shelf components, team composition, quality of data, project scope, costs of the infrastructure, integration, and maintenance, etc.). That’s why it is so difficult to assess this cost without knowing the details.

In general, the costs of AI product development services vary from $10-20K for a simple Proof of Concept, which will help you validate the idea of using AI to solve a specific business problem, to $50-500K for the full implementation. The reliable estimation needs to start with having a closer look at your needs, requirements, and possibilities to assess the solution’s complexity and the work it requires.

Read more:

How big should an AI development team be?

There is no fixed team size for artificial intelligence development services. Depending on your requirements, the team composition in an AI project may vary. Also, note that the AI development team may not need to be limited to data scientists and a scrum master. If you need your AI models to integrate with a system you already use, you will need a software engineer(s). If you need to build new dashboards, interfaces, or whole apps to allow for easy use of the model, you will also need designers. When choosing your AI development company, it is worth checking the additional services they provide.

How to apply AI development solutions in web development?

If you want to build an AI-powered web application, you need to start with designing the architecture that will make it possible to integrate various AI models.

To make it “future proof”, we suggest you not focus solely on the models that you’re starting with. Don’t focus only on the temporary needs. Instead, try to identify all the places that have the potential to be AI-powered in the future – regardless of the data you have right now or your current business processes, needs, and priorities. Thanks to that, you will be able to plan the whole architecture of that new system in a way that will make it possible to integrate other artificial intelligence models in the future.

Why is artificial intelligence important for web development?

Artificial intelligence development changes web development in many ways. On the one hand, it is transforming how web apps are developed. AI-powered tools for developers can automate some tasks (therefore reducing the development time), improve the code quality, or even suggest optimizations in design based on users’ behavior. On the other hand, it requires web apps and systems to be written in a certain way that enables integration with artificial intelligence models. For sure, it is an important trend that will have a significant impact on web development.

How to choose the right AI and ML development services?

Machine learning uses various types of algorithms: neural networks, linear regression, logistic regression, clustering, decision trees, random forests, etc. The choice of a specific algorithm should be adjusted to your project and your business needs. Often, it is necessary to test a few algorithms to find the one that is most suitable for the specific use case.

How to choose a provider for enterprise AI development services?

Enterprise AI development poses some extra challenges that do not usually concern smaller businesses. These may include, e.g.:

Regulatory and Compliance Issues:
Enterprises operate in highly regulated environments. The AI development solutions must comply with legal and ethical standards. Moreover, privacy concerns and policies such as GDPR impact data handling, model explainability, and user consent. All that needs to be taken into consideration when planning AI adoption.
Data Complexity and Scale:
Enterprises deal with vast amounts of data from various sources, making data quality, integration, and scalability critical. Handling large-scale data pipelines and real-time processing requires robust infrastructure and efficient algorithms.
Integration with Existing Systems:
Integrating AI solutions with legacy systems, ERP software, and other tools can be complex and go beyond the standard AI/ML development services. Compatibility issues, security protocols, and seamless data flow between systems need careful planning.

Choosing an AI software development company for enterprise projects requires extra consideration. To shortlist the best providers, take a look at their portfolios (see if they have a track record of successful enterprise projects) and ask how they tackle challenges related to compliance, integrations, data complexity, or any other issues that concern your organization.