Generative Ai Development Company

At Helical IT Solutions, we offer customized generative AI development services that can help you leverage the power of artificial intelligence to transform your business. Whether you need to automate your workflows, streamline your processes, or enhance your creativity, we have the right solution for you. We use cutting-edge generative AI models, such as GPT-4, Llama, and PaLM-2, to create intelligent and adaptable applications that can generate high-quality content, code, images, and more.

We also provide consulting and integration services to ensure that you get the most out of our generative AI solutions. With our expertise and experience in data engineering, business intelligence, and big data analytics, we aim to be at the forefront of AI technology and innovation. Contact us today and discover how our generative AI development services can help you achieve your goals.

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Why HELICAL for Gen AI Consulting

At Helical IT Solutions, we help clients harness the potential of generative AI and LLMs to boost their business value and growth. We stand out from the crowd by our

Diverse experience

We have been serving customers since a decade and have diverse experience across various domains and geographies. So far we have been part of 85+ end to end implementations across various verticals, diverse business problem and geographies. This experience can go a long way to build a customized LLM & Generative AI solutions that help clients adopt and scale faster.

Proven expertise

Despite LLM and GenAI being new technologies, we have done demonstratable projects on the same technologies. We have qualified resources who have experience on various LLM models, hence we are in a strong position to understand your requirement, architect the tech stack, build the models. Our cloud agnostic experience can also help in deploying the same on the cloud of your choice or on-premise as well. Reach out to see some of our work and how we can help you.

How we Assists Our Clients in Eliminating barrier in Data Engineering

GenAI empowers clients by automating data engineering workflows, eliminating bottlenecks, and enhancing efficiency for streamlined and accelerated data transformation processes.

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Generative AI is a branch of artificial intelligence that uses advanced machine learning models, such as generative adversarial networks (GANs), variational autoencoders (VAEs), or autoregressive models, to generate new data or content that resembles the original data or content. Generative AI can be used for various purposes, such as creating realistic images, videos, texts, music, code, etc., or enhancing existing data or content with new features, styles, or formats. Generative AI can also be used for predictive analytics, recommendation systems, chatbots, and other applications that require generating personalized or customized outputs based on user inputs or preferences. At Helicaltech, we have a team of experts who have deep knowledge on various GenAI models and cross domain experience. They can work closely with your team to plan an AI strategy that meets your objectives and expectations.

We can then build the required GenAI solution for you, using the most suitable models and frameworks for your specific use case and domain. We have experience in working with various models, such as Llama, Palm, GPT, Dall.E, Stable Diffusion, etc., which are some of the state-of-the-art GenAI models that can generate high-quality and diverse outputs. We also use cutting-edge GenAI technologies and frameworks, such as GPT-4, Llama, PaLM-2, etc., which are some of the latest and most powerful GenAI technologies and frameworks that can create intelligent and adaptable applications that can learn from data and user feedback. Whether you want to generate content, code, images, chatbot, prediction or anything else, we have the right solution for you. We can help you leverage the power and potential of GenAI to create innovative and impactful solutions that can enhance your business and customer experience.

Data is the fuel for generative AI, as it provides the information and inspiration for the models to learn and create new data or content. However, not all data is the same, and different domains and geographies may have different data characteristics, requirements, and challenges. For example, data in the education domain may have different formats, sources, and standards than data in the banking domain. Data in the healthcare domain may have different privacy, security, and ethical issues than data in the edtech domain. Data in the cybersecurity domain may have different threats, risks, and solutions than data in other domains. Therefore, to build effective and reliable generative AI models, it is essential to have a deep understanding of the data and the domain.

At Helical IT Solutions, we have more than a decade of experience in working with data across various domains and geographies, such as education, banking, healthcare, edtech, cybersecurity, and more. We have a team of data experts who can collect, clean, integrate, and annotate data from various sources and formats, ensuring the data quality and relevance for the generative AI models. We also have a team of domain experts who can provide insights, guidance, and feedback on the data and the models, ensuring the domain-specificity and accuracy of the generative AI models. Our deep technical expertise and diverse domains knowledge goes a long way in delivering high quality output. We can help you build domain-specific generative AI models that can meet your unique needs and challenges.

Generative AI is a powerful and versatile technology that can create new data or content that can enhance your business and customer experience. However, to harness the full potential of generative AI, you need a partner who can understand your goals, challenges, and expectations, and provide you with the best solutions and services. At Helical IT Solutions, we are more than just a generative AI development company. We are your trusted and reliable partner who can help you achieve your goals with generative AI. Contact us today and discover how our generative AI development services can help you.

Data collection is the process of acquiring data from different sources, such as databases, web pages, social media, sensors, etc. Data cleansing is the process of removing or correcting errors, inconsistencies, outliers, or missing values from the data. Data integration is the process of combining data from different sources into a unified and consistent format. Data annotation is the process of adding metadata to the data, such as labels, categories, tags, sentiments, etc., to make the data more informative and useful for LLM and analytics models. At Helical IT Solutions, we have extensive experience in data collection, cleansing, integration, and annotation. We use various tools and techniques, such as web scraping, data extraction, data validation, data transformation, data normalization, data deduplication, data imputation, data augmentation, data classification, data clustering, data sentiment analysis, etc., to gather and pre-process large datasets from various sources and formats.

Data quality is the measure of how well the data meets the requirements and expectations of the LLM and analytics models. Data quality can be assessed by various dimensions, such as accuracy, completeness, consistency, timeliness, relevance, etc. Data quality tools and frameworks are software applications or libraries that help to monitor, measure, and improve the data quality. Data quality tools and frameworks can perform various functions, such as data profiling, data auditing, data cleansing, data matching, data enrichment, data governance, etc. At Helical IT Solutions, we use data quality tools and frameworks, such as Talend, Trifacta, Informatica, IBM, Microsoft, etc., to ensure that the data is consistent, accurate, and relevant. We also use data annotation tools and frameworks, such as Labelbox, Prodigy, Snorkel, Doccano, etc., to label and enrich the data with metadata, such as categories, tags, sentiments, etc. By doing so, we ensure that we have a high-quality training data that can support various LLM and analytics models.

Natural language processing (NLP) is a branch of artificial intelligence that deals with the interaction between computers and human languages. NLP enables computers to understand, analyze, generate, and manipulate natural language, such as text or speech. NLP can be used for various purposes, such as information extraction, sentiment analysis, question answering, text summarization, machine translation, chatbots, and more. At Helical, we have expertise in working with various NLP technologies, such as spaCy, NLTK, Hugging Face, Google Cloud, etc., to create new applications as well as interact with existing applications that can handle various tasks involving natural language.

Deep learning is a branch of artificial intelligence that uses multiple layers of artificial neural networks to learn from large amounts of data and perform tasks such as image recognition, natural language processing, speech synthesis, and more. At Helicaltech, we have a team of experts in deep learning who can design, develop, and deploy complex neural networks for various applications and domains. We use the latest tools and frameworks, such as TensorFlow, PyTorch, Keras, and OpenCV, to implement state-of-the-art algorithms and models that can achieve high accuracy and performance.

However, we do not just use off-the-shelf solutions for our clients. We understand that each client has unique needs and challenges, and we strive to provide customized solutions that suit their specific goals and requirements. We can modify, optimize, and fine-tune existing algorithms and models, or create new ones from scratch, to address the problems and opportunities that our clients face. We can also integrate our deep learning solutions with other technologies, such as cloud computing, big data, and IoT, to create scalable and robust systems that can handle large and complex data sets. By doing so, we help our clients unlock the full potential of AI and gain a competitive edge in their respective fields.

Large Language Models (LLMs) are powerful and versatile tools that can generate high-quality and diverse outputs, such as texts, images, codes, etc. However, LLMs may not always meet your specific needs or expectations, as they are trained on general and large datasets that may not capture your domain, task, or style. Therefore, you may need to tune or adapt the LLMs to suit your requirements and goals.

At Helical IT Solutions, we offer two types of services to help you customize and optimize the LLMs for your use cases: Model Fine Tuning and Prompt Engineering.

Model Fine Tuning is the process of further training the LLM on a smaller and task-specific dataset, using your own data or data from other sources. This allows the LLM to adjust its parameters and learn from the new data, improving its performance and accuracy for your task or domain. Model Fine Tuning can also help you reduce the size and complexity of the LLM, making it more efficient and cost-effective.

Prompt Engineering is the process of refining the input prompt that you provide to the LLM, using various techniques and strategies, such as context, instruction, examples, etc. This helps the LLM to generate the desired output that matches your intent and expectation, without changing its parameters. Prompt Engineering can also help you control and guide the LLM’s responses, making it more consistent and reliable.

We have a team of experts who can work closely with you to understand your needs and challenges, and provide you with the best solutions and services. We use the latest and most advanced LLM technologies and frameworks, such as GPT-4, Llama, PaLM-2, etc., to create intelligent and adaptable applications that can produce high-quality outputs.

Contact us today and discover how our Model Fine Tuning and Prompt Engineering services can help you achieve your goals.

GenAI Relevant Use Cases

Chatbots creation

For handling the customer support related work. Our chatbots can understand the user’s intent, context, and emotions, and provide relevant and personalized responses. Our chatbots can also handle multiple languages, dialects, and accents, and integrate with various platforms, such as websites, mobile apps, social media, etc.

Text summarization

We have developed text summarization tools that can automatically generate concise and informative summaries of long texts, such as articles, reports, books, etc. Our text summarization tools can use different techniques, such as extractive or abstractive summarization, to select or generate the most important sentences or phrases from the original text. Our text summarization tools can also use different formats, such as bullet points, paragraphs, or headlines, to present the summaries.


We have built translation tools that can translate texts or speech from one language to another, such as English to French, Hindi to English, etc. Our translation tools can use different models, such as neural machine translation (NMT) or statistical machine translation (SMT), to learn from large corpora of parallel texts and produce accurate and fluent translations. Our translation tools can also use different modes, such as online or offline translation, to provide fast and reliable translations.

These are some of the examples of our work on NLP. We have also worked on other NLP tasks, such as sentiment analysis, named entity recognition, text classification, speech recognition, etc. We can help you with any NLP project that you have in mind. Reach out to us ( to see samples of some of our work on the same.


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