It’s not the transformation you expect. It’s the revolution your business needs
AI software that actually benefits your business
Artificial intelligence is not a technology from the list of “future trends” anymore. AI is there - for good. And its potential can be used in a smart way - to automate routine tasks, elevate workflow efficiency, enhance customer experience, and finally, get rid of tiresome tasks that could be delegated.
Delegate anything that can be more efficiently done by the AI model and transform what can be enhanced for best business outcomes - all possible with AI development that actually takes your business needs into consideration.
How do we make it work?
We help businesses leverage the potential of AI-based software to innovate the old approaches and introduce new ideas, in a smart way.
Great AI-based software requires a good team and a good understanding of the business goals. Nothing more. We’d be happy to be wizards, but we are not.
Our wow factor is simply based on our award-winning AI developers that can achieve anything, and… on our ability to listen. Every potential customer meets our team and tells their story.
Our goal is to find the best approach to their challenges by leveraging AI technology in the smartest way possible.
Solutions for industries
How different stories make different solutions
Sport
Imagine a sports app, which collects data from many devices. It makes an analysis of sportsman movements and makes recommendations for the coach on how to improve the performance.
Healthcare
Or an app where the doctor can monitor the rehabilitation process, while analyzing the daily activity and movements by simply looking at the photos and videos, or, even better, during an online meeting.
Dating
What about a dating app? Could AI be a next-generation Cupid? Why not? Careful analysis of data, success life stories, divorces and breakups - and you have the ultimate recipe for happy marriage.
Real Estate
Imagine a real estate platform harnessing AI, seamlessly analyzing property trends and client desires. This indispensable partner streamlines searches, boosting efficiency for homes and investments.
FinTech
Picture a fintech solution utilizing AI for credit scoring. Assessing vast financial information, it refines risk assessment and paves the way for inclusive, personalized lending experiences, transforming finance.
Autonomous stores
Consider an autonomous store with AI, observing customer behaviors and preferences. By adapting the environment in real-time, AI crafts a frictionless, tailored retail experience, revolutionizing shopping.
Imagine a sports app, which collects data from many devices. It makes an analysis of sportsman movements and makes recommendations for the coach on how to improve the performance.
Healthcare
Or an app where the doctor can monitor the rehabilitation process, while analyzing the daily activity and movements by simply looking at the photos and videos, or, even better, during an online meeting.
Dating
What about a dating app? Could AI be a next-generation Cupid? Why not? Careful analysis of data, success life stories, divorces and breakups - and you have the ultimate recipe for happy marriage.
Real Estate
Imagine a real estate platform harnessing AI, seamlessly analyzing property trends and client desires. This indispensable partner streamlines searches, boosting efficiency for homes and investments.
FinTech
Picture a fintech solution utilizing AI for credit scoring. Assessing vast financial information, it refines risk assessment and paves the way for inclusive, personalized lending experiences, transforming finance.
Autonomous stores
Consider an autonomous store with AI, observing customer behaviors and preferences. By adapting the environment in real-time, AI crafts a frictionless, tailored retail experience, revolutionizing shopping.
How we work
We start with a problem or challenge your business faces. We are not expecting you to offer the the solution, we expect you to describe the problem in-depth and provide us with as much data as you can.
1
Request
It all starts with your email where you describe the challenge your business faces. In case you have some data, models, etc. - would be great for us to learn about them as well. We are also known for respecting deadlines, so please give us some hints, if you have them.
2
First call
Embark on your journey with an initial call, where our team uncovers your unique requirements, Based on your needs, we'll connect you with the perfect tech guru from our AI team to ensure a solid start.
3
Discovery
Embark on the discovery phase, where we dive deeper into your project, exploring its specific needs and requirements. This crucial stage paves the way for a targeted, effective AI solution.
6
Proposal
Receive a customized proposal, crafted to address your unique challenge. Delve into the proposed solution, understanding how our expertise will revolutionize your business.
6
Start of cooperation
We develop a model and train it using the data sets you provide, or which we have. In case we need to buy a data set we discuss it with you.
5
Test
Witness the power of AI, as we thoroughly test the model, ensuring its precision, efficiency, and adaptability to the challenge at hand, refining it as needed.
1
You are sending us your request.
More efficient is a letter where you describe the challenge your business faces. In case you have some data, models etc - would be great to learn about in a 1-st letter. We are also known for respecting deadlines, so please give us some hints, if you have them.
2
We connect you with the tech guru your project needs
At this step, we extract meaningful features or characteristics from the text data. These features can be the presence of certain words or phrases, the part of speech of each word, or the overall sentiment of the text.
3
Proposal
Training requires using machine learning algorithms to train a model on a large dataset of labeled text data. Once trained, the model can make predictions about new, unseen text.
4
Start cooperation
We develop a model and train it using the data sets you provide, or which we have. In case we need to buy a data set we discuss it with you.
5
Test
Finally, we deploy a trained and evaluated model in a real-world application, such as a chatbot or language translation tool.
6
Implementation in your existing product or project
Finally, we deploy a trained and evaluated model in a real-world application, such as a chatbot or language translation tool.
Implementation
Experience the seamless integration of the AI model into your existing product or project. Our dedication to smooth implementation ensures a transformative impact on your business.
NLP challenges and how we overcome them
Out of the many ways in which NLP can be useful for business, these are the most popular and demanded.
1
All languages are different
There are many different languages in the world, each with its own unique structure, grammar, vocabulary, and syntax. This makes it difficult to develop NLP systems that can understand and process all languages equally well. Plus, English is always ahead of the curve when it comes to technological advancement. To make your NLP tool perfect, it is important to have a large, high-quality dataset.
2
Meaning depends on context
Natural language is often ambiguous, meaning that the same words or phrases can have multiple meanings depending on context. This can make it challenging for NLP systems to understand the intended meaning of a given text. Preprocessing the data, including tasks like tokenization, stemming, and lemmatization, can help extract relevant information and make it more suitable for NLP tasks.
3
Need for annotation
To develop and train NLP systems, large amounts of annotated data (labeled or marked up data to indicate relevant information) are needed. Annotation can be time-consuming and labor-intensive, however, proper annotation can help overcome ambiguity and context challenges. (Self Learning / Unsupervised learning )
4
Domain-specific knowledge
NLP systems often need to be fine-tuned or adapted to work well in specific domains. This can be challenging due to the need for additional data specific to the desired domain and the varying characteristics of language between different domains. Building domain-specific models, which are trained on data particularly to the desired domain, can help overcome this challenge.
Common questions
Frequently Asked Questions
How is NLP used in business?
NLP has a variety of applications in business, including but not limited to customer service, text analysis, content generation, language translation, voice recognition, and email filtering. It can be used to build chatbots and virtual assistants, analyze large amounts of text data, generate content, translate languages, recognize voice commands, and filter emails. These applications can help companies improve customer service, understand customer sentiment, create content efficiently, expand into new markets, offer voice-controlled products or services, and manage email more efficiently.
How much does it cost to develop an NLP system?
NLP system estimation is an estimation of a way of a learning curve. To give a precise estimate of the cost of developing an NLP system, we would need more information about your specific goals. It’s safe to say that the cost can range from a few thousand dollars for a simple system to hundreds of thousands for a more complex one. Overall, several factors can impact the cost of developing an NLP system.
These are: 1. The scope of the project, including the complexity and range of tasks and languages it is designed to handle, can significantly affect the amount of time and resources needed for development. 2. Larger amounts of data and resources, such as text data and annotated examples, can be a time-consuming and costly process. 3. Specialized expertise in areas such as machine learning, linguistics, and software engineering may be required, which can increase the overall cost of the project through the hiring or consulting of experts in these fields.