Our NLP development services
Let’s dive into it. In our services, you will find integrating AI application discovery, Proof of Concept, Prompt Engineering, and AI model training.
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Transforming Text to Triumph: NLP Development
Use the potential of Natural Language Processing to gain deeper insights from customer feedback, streamline customer support with chatbots, enhance user experience through tailored content, automate tedious text-based tasks, and drive more informed decision-making by analyzing vast amounts of textual data.
Book Free AI ConsultationNLP in practice
Natural Language Processing (NLP) is a fascinating intersection of artificial intelligence and linguistics that enables machines to understand, interpret, and generate human language. It's the driving force behind voice assistants, chatbots, and many text analysis tools. For business owners, NLP offers a competitive edge, enabling them to analyze customer sentiments, automate support, personalize content, and unearth insights from vast textual data, ultimately leading to informed decisions and increased profitability. Find also other branches of Generative AI:
Large Language Models (LLMs)
Imagine you can save hours on extract and expand information from different sources with new way of semantic search approach, creating documentation. At the same time, develop your company’s brain that knows your industry’s specification and is trained on your data, or simply implement existing solutions to your systems.
Read more about LLMsAI application discovery
We dive deep into your business operations, identify areas where Generative AI can add value, and outline a tailored adoption strategy. Whether it's automating repetitive tasks, generating unique content, or predicting market trends, as a result we'll find the right AI solutions that drive growth and innovation.
Read moreProof of Concept
We assist in translating your unique AI opportunities into a tangible and functional prototype. We test the viability of AI applications in your specific business context, mitigating risks and ensuring seamless integration. By building a Proof of Concept, we'll demonstrate the real-world impact of AI in your operations, providing a clear path for full-scale implementation. Let's bring your AI vision to life, proving its potential before you make a significant investment.
Read morePrompt design and engineering
We tailor AI prompts to your business needs compatible with your custom AI solution. By fine-tuning your AI's communication, we help you leverage AI technology for better business performance and accuracy. Don't just use AI; speak its language.
Read moreAI model training
Create your company’s Virtual Brain by designing your own unique main future asset. We train your AI model with your company’s data and specific to your industry, to understand the business context, industry, and country’s specification better. Benefit from our expertise to make your AI work harder for you.
Read moreFrom Zero to AI Hero. An ultimate guide to Generative AI
Generative AI in your startup & business
We’ve seen many entrepreneurs with amazing ideas struggle when it comes to implementing Generative AI in their ventures. With AI evolving rapidly, it’s essential for startups to understand its potential. All, for the purpose to stay competitive and innovative.
That’s where this ebook comes in. We’ve created this guide to help you make the most of generative AI in your startup and business. To sum up – our goal is to provide you with practical advice, real-life examples, and a step-by-step approach.
Read now!Natural Language Processing
Discover practical applications and use cases of Natural Language Processing
Businesses use NLP to gauge customer sentiment from reviews, feedback, and social media mentions, helping them understand their audience’s feelings towards products or services.
NLP powers interactive and responsive chatbots on websites and virtual assistants like Siri and Alexa, enhancing user experience and providing instant support.
NLP algorithms can condense long articles, reports, or documents into concise summaries, aiding in quicker decision-making and information consumption. databases.
Tools like Google Translate leverage NLP to convert text from one language to another, facilitating global communication and business operations.
Voice-activated systems, from in-car commands to dictation software, use NLP to convert spoken language into text and execute commands based on it.
LLMs can be used to personalize messages or replying for marketing campaigns. It can generate interview questions, engage customers, develop interactive content materials or recommendation. They can help craft personalized messages and responses based on the user’s queries, interests or other data provided.
NLP Development Project Cycle
An AI project management life cycle consists of 5 distinct phases. Starting from conceptualization, design, and planning, through implementation and deployment. Finally, there is maintenance and optimization.
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Conceptualization: This is the initial stage where the project’s vision and goals are defined. For example, tt involves identifying the project’s key objectives. It outlines what problems the AI will solve, and defines the scope of the project. This stage is also where stakeholder requirements are gathered and initial feasibility studies are conducted.
Design and Planning: In this stage, the detailed planning and design of the AI system takes place. This includes selecting suitable Generative AI techniques, defining the architecture of the AI system, and planning the resources and timeline for the project. This is also the stage where potential risks are identified and mitigation strategies are planned.
Implementation: This is the stage where the actual coding and development of the AI system take place. This includes data collection and preparation, model training and tuning, and integration of the AI system with other systems. Regular testing and quality checks are conducted to ensure the system is functioning as expected.
Deployment: After the AI system is developed, it is deployed into the production environment. This includes setting up the necessary infrastructure, migrating the AI system to the production environment, and carrying out user acceptance testing. This stage also involves monitoring the Generative AI system to ensure it’s performing as expected and making any necessary adjustments.
Maintenance and Optimization: This is the final stage of the lifecycle, where the AI system is regularly reviewed and updated to ensure it remains effective. This includes ongoing monitoring, fine-tuning the model as needed, updating the system to adapt to changing requirements, and addressing any issues or problems that arise.
Let's define how Generative AI can work for you. Estimate your project
Get a quoteWhy Choose Us
Partnering with Vstorm offers distinct advantages for your GenAI journey:
Full control, transparency and predictability
You pay just for time and resources used on the project, so it is appropriate for flexible administration of various sorts of projects long and short-term.
Scenario-based Generative AI development
Using scenario-based methodology, project management and outsourcing of complex IT projects become effortless, predictable, and autonomous. When compared to pure waterfall or pure SCRUM, the scenario-based methodology performs better.
Reliable tech stack
Benefit from our team of experienced professionals who possess deep expertise in Generative AI and a commitment to deliver..
Transparent communication
Count on our transparent and reliable communication throughout our partnership, fostering trust and establishing a strong foundation for success.
Generative AI Development Success Story
AI Chatbot Fit for a Job
In an increasingly competitive job market, making an impactful first impression is crucial. An essential component of this is a well-crafted cover letter, tailored to the job description. This was the challenge faced by a U.S.-based client looking for a way to make this process efficient and effective. Their goal was to create a strong Proof of Concept, for future product development and launch in SaaS model.
Read more
Evryface, an AI-powered solution for professional photoshoots
We have technically and strategically supported the recently launched new product called Evryface. The product is an AI-powered solution. It enables users to create professional photos, avatars, and headshots of themselves without ever leaving their homes. The platform allows users to upload their photos and receive studio-quality photos within minutes. It offers a range of customization options to suit their preferences.
Read more
Interio AI, an AI-powered solution for professional interior design
The AI-powered interior design startup was looking to develop a cutting-edge interior design assistant that would use artificial intelligence to create personalized recommendations for users. However, they lacked the necessary expertise and resources to develop such a complex system on their own. That’s where Vstorm, a strategic startup advisory and technology development company, came in.
Read moreOur customers are featured on
Is there room for collaboration? Talk to a real person and ask for Generative AI consultancy!
Antoni Kozelski
CEO & Co-founder
Key concepts
As you embark on your entrepreneurial journey, it’s essential to keep up with the latest technologies, concepts, and applications to stay ahead of the game. Let’s check the generative AI glossary that can help skyrocket your startup.
ChatGPT-4: an advanced conversational AI model that offers startups and SMBs a powerful tool for seamless customer interactions and streamlined operations. With its sophisticated natural language processing capabilities, ChatGPT-4 enables businesses to enhance customer support by efficiently addressing queries, providing personalized recommendations, and nurturing leads. Additionally, it empowers internal teams by handling administrative tasks, facilitating collaboration, and offering data-driven insights. By customizing ChatGPT-4, startups and SMBs can optimize their resources, improve productivity, and deliver exceptional customer experiences, ultimately driving growth and success in an increasingly competitive business landscape.
Stable Diffusion is an open-source text-to-image model developed by Stability AI. It uses advanced technology called latent diffusion models (LDMs) and pretrained autoencoders to generate detailed images based on text descriptions. This model offers accessibility and improvements over previous models by incorporating variational autoencoders, U-Net architecture, and a text encoder for conditioning. It supports both creating images from scratch and modifying existing images through techniques like inpainting and outpainting. Stable Diffusion’s open approach challenges the control of major companies in the field and has sparked debates about moderation, content filtering, and ethical concerns.
Synthetic Data Generation is a technique that involves creating artificial data that mimics real-world data. It is increasingly being used by startups and SMBs to overcome data limitations and drive innovation in various applications. Synthetic data offers a solution when real data is scarce, sensitive, or not readily available. By generating data with statistical characteristics similar to real data, businesses can perform testing, research, and development without compromising privacy or relying solely on limited datasets.
Startups and SMBs can leverage synthetic data to train machine learning models, validate algorithms, improve product development, and enhance decision-making processes. It provides an opportunity to address data limitations, mitigate bias, and explore new possibilities in machine learning applications. As the synthetic data market continues to grow and new startups emerge in this field, businesses have access to a range of providers and tools to support their synthetic data needs. Embracing synthetic data generation can unlock new opportunities and enable startups and SMBs to thrive in a data-driven world
- Text-to-Speech (TTS)
Ever asked Siri a question or had Google Maps tell you where to turn? If you have, then you’ve interacted with Text-to-Speech technology. Simply put, TTS converts written text into spoken words. It’s what allows our devices to talk to us, making technology more accessible and interactive.
- Audio AI Generation
Next up, we have Audio AI Generation. This tech takes Text-to-Speech a step further by synthesizing realistic sounds and voices. From creating voiceovers for animations to generating music, Audio AI is the maestro behind the scenes. It’s even been used to create entire albums and soundscapes – pretty cool, huh?
- Video AI Generation
Last but certainly not least, we’ve got Video AI Generation. This is the big league, folks! Here, AI takes audio or text inputs and creates corresponding visual content. It can be used for everything from deepfakes (please use responsibly!) to making alterations in existing videos, and even creating new visual content from scratch.
Imagine a toddler learning to walk. They stand, wobble, fall, stand again, and with each try, they get a little bit better. That, in a nutshell, is Reinforcement Learning (RL). RL is an AI technique where a model learns to make decisions by trial and error, gradually improving over time.
Think of RL as your startup’s personal optimization guru. Whether you’re managing inventory, scheduling tasks, or figuring out the best way to allocate resources, RL can crunch the numbers, try out different strategies, and find the most efficient way forward.
It’s like a virtual game of ‘hot and cold’ – the AI gets feedback (reward or punishment) based on the actions it takes, nudging it towards the optimal solution. Over time, it learns to make better decisions, helping your startup become more efficient and competitive.
Ever wish you could teach your computer to understand human language? With Natural Language Processing (NLP), that’s possible! NLP is a branch of AI that helps machines read, understand, and make sense of human language.
Imagine the possibilities: You could analyze customer reviews to identify common pain points, automate content moderation on your platform, or even use it to analyze market sentiment on social media. The applications are nearly limitless.
NLP can turn a mountain of unstructured data into valuable insights, helping you understand your customers better and respond to their needs more effectively. And the best part? It can do all of this in real-time, giving you the insights you need when you need them.
