Join the generative AI revolution

Enter the new era of creativity and growth & build the software of tomorrow with the assistance of the top generative AI development company.

Let’s talk about your generative AI project
Shape the future

Use generative AI to boost the capabilities of your commercial software & create new solutions that will change the old ways of doing things.

BE the future

Empower your internal processes to grow your business faster than ever & be the first to introduce tools that the world was dreaming of.

Not sure which generative AI application will suit your needs & vision best?

We’ve got your back. Our battle-tested team of top AI experts is here to help you validate your generative AI project ideas and implement Gen AI from A to Z.

Utilize new ways of growing your business

Leverage the power of generative AI
in a way that perfectly suits your
business needs.

Optimize costs
Automate operations
Drive productivity
& efficiency
Boost creativity
& innovation
Introduce hyper-personalization
Master
problem-solving
Enhance
decision-making
Expand accessibility & inclusivity
Embrace the superpowers of generative artificial intelligence

Leap into the world of endless
possibilities with generative AI’s
wealth of applications.

Text generation
& analysis (NLP)
Image generation & analysis
Code generation
& completion
Video
generation
Sound & speech generation
Data augmentation
Discover AI-powered success stories

See how others have succeeded
thanks to our AI development
services
.

liveramp logo web application development
nestle logo web app development
Improving the Performance of the GPT-4-Powered Chatbot by 1900%

Using Pinecone, Langchain, and Embeddings, we decreased the bot’s response time in the mobile app from ~40 seconds to ~2 seconds.

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.

See the study
Boosting career chances for employees with a recommendation system

We built an AI-powered platform that allows our client’s employees to widen their knowledge and skills with personalized courses.

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Increasing profit margin with artificial intelligence by 30% in 12 months

We created an AI and RPA-based PoC able to predict how much customers are most likely to pay for the order. The PoC reached the expected accuracy in 3 months.

See the study
Proving AI enhances hotel recommendations for business travelers

We built a set of models proving that AI can provide accurate hotel recommendations for business travelers, reducing the time needed to choose the right hotel.

See the study
Improving the Performance of the GPT-4-Powered Chatbot by 1900%

Using Pinecone, Langchain, and Embeddings, we decreased the bot’s response time in the mobile app from ~40 seconds to ~2 seconds.

swipe for more
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
Boosting career chances for employees with a recommendation system

We built an AI-powered platform that allows our client’s employees to widen their knowledge and skills with personalized courses.

swipe for more
See the study
Increasing profit margin with artificial intelligence by 30% in 12 months

We created an AI and RPA-based PoC able to predict how much customers are most likely to pay for the order. The PoC reached the expected accuracy in 3 months.

swipe for more
See the study
Proving AI enhances hotel recommendations for business travelers

We built a set of models proving that AI can provide accurate hotel recommendations for business travelers, reducing the time needed to choose the right hotel.

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See the study
Neoteric was a critical player in our project. This project is in a complicated niche, and their team did extensive R&D for it. They're a trusted vendor who makes a significant impact.

Head of Product & Engineering, Online Gaming Portal

Ready to discuss your generative AI project ideas?

Let’s talk your vision through
Generative AI models & tools we work with
GPT-3, GPT-3,5, GPT-4
DALL.E
BERT
Whisper
Stable Diffusion
Midjourney

Neoteric way of generative AI development

Full support from Day 1 to make sure your Gen AI project succeeds.

Gen AI Consulting

We’ll answer all your questions and address all your doubts about generative AI development services.

Validation

Not sure if your generative AI project idea is realistic? Worry not, we’ll help you find that out!

Model fine-tuning

We’ll fine-tune the foundation models for domain-specific use cases and tasks to ensure your project’s success.

End-to-end development

From validating ideas to launching your bespoke software, you can always rely on our expert team.

Scaling

Generative AI projects are ever-growing & transforming, and we’re ready to help you with that.

AI integration

Want to integrate artificial intelligence into existing tools or products? You got it!

Neoteric was able to deliver a working MVP and through that, we found an early adopters group to determine which algorithm works best for us moving forward. We were impressed with their industry knowledge and experience in the travel sector. They provided us with a lot of data, so it made it easier for us to work around the process.

Maciej Stopierzynski, CTO, WorkTrips.com (Hotailors)

Frequently asked questions about the generative AI services

How much does it cost to build a generative-AI-powered software?

The cost of developing generative AI development solutions
depends on many various factors, including team composition, data quality, project scope, required compute power, cost of infrastructure, integration, and maintenance. It’s challenging to estimate the cost without knowing the details of your project. Simple generative AI PoC (proof of concept) projects cost $20-50K, while a full implementation can cost anywhere from $50K to even over $500K. Accurately creating realistic estimates requires evaluating needs, requirements, and possibilities to assess the complexity and workload of your project.

How long does it take to develop a generative-AI-powered software?

Assessing the time needed to develop generative AI-powered software requires considering various aspects of the project—such as its complexity, required team size, resources, training data, and expertise, to name a few. Simple projects can last weeks to months, while more complex ones can take years of research and development.

How can I get started with a generative AI development project?

It’s easy! Fill out our contact form, and we’ll invite you for a non-binding call to discuss your generative AI project idea. During the call, we’ll talk about the feasibility of using generative AI models for the certain use case, discuss the potential risks of such a project, and walk you through the potential next steps that will take place if you decide to work with us.

What’s the difference between generative AI and analytical AI?

In short, generative artificial intelligence creates new content, while analytical artificial intelligence analyzes existing data for insights and predictions. Although these are two different types of artificial intelligence systems, they have much in common (e.g., both require an R&D approach), so experience in analytical AI projects has great value for developing generative AI projects.

Proficiency in high-risk and R&D projects and focusing on quick validation of business hypotheses (you don’t want to waste years on testing something that could be validated within weeks or months) is what you’re looking for. And that’s why you’re in the right place! Building AI projects for years, we worked out an approach that allows us to test your business hypotheses as fast as possible so you get the best chances for your projects’ success.

Read also: How to Start With Artificial Intelligence: Your First Steps With AI

What are the risks of implementing generative AI?

There’s no doubt generative AI unlocks many exciting opportunities. But let’s not forget it also comes with quite a few risks and challenges! That’s why, when thinking of utilizing AI technology, may it be Gen AI, machine learning, natural language processing, or anything else, it’s crucial to consider those hurdles and be ready to address them.

What kind of risks and challenges do we mean? E.g., data security, compliance, the matter of IP rights, biases, errors, and limitations of the models, to name a few. You can read all about it in the article on our blog: 5 Challenges of Generative AI Adoption.

How to find a reliable generative AI development company?

You have just found one! Read our customer reviews on Clutch, see our past AI projects, and contact us to learn more about custom generative AI development services.

What generative AI technologies do you use?

The technologies that we use the most often include GPT-3.5 Turbo, GPT-4, Pinecone, Langchain, Haystack, AWS, Azure, Modal, and Cognitive Search. The list is constantly growing as we adopt new technologies. Also, keep in mind that we always adjust the tech stack to specific project needs.

Can I use generative AI to create a chatbot providing technical support for my product?

AI-generated content can be utilized in various use cases. For the one that you described, it will be useful to use a foundation model (e.g., GPT-4) and RAG architecture. Thanks to that, we will be able to reduce the model’s hallucinations and make sure that the answers produced by the model are accurate

 

Read more: RAG vs. Fine-Tuning vs. Prompting. How to Reduce Generative AI’s Hallucinations and Boost Its Performance?

Learn about other services offered by Neoteric

AI development services

Optimize internal processes or improve customer service with custom AI-based products.

GPT
integration

Transform your business and unlock new opportunities with GPT integration.

AI
Consulting

The first step to turning your AI concept into a functional product.

Read about generative artificial intelligence

5 Challenges of Generative AI Adoption
Discover the challenges of generative AI adoption: • Data security • Data privacy • IP infringements • Model biases and errors • And more....
The Future of AI is Here: Potential GPT-4 Use Cases and Early Adopter Projects
Explore exciting GPT-4 use cases. Learn about early adopter projects and discover inspiring potential applications of this amazing AI model!...
A Step-By-Step Guide to Generative AI Implementation
Follow the Steps to Generative AI Implementation: Identify Business Goals • Evaluate AI Use Cases • AI Proof of Concept • AI MVP • And More...
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