Zartis AI Services
Natural Language Processing & RAG
Unlock the potential of natural language processing and retrieval-augmented generation to transform your business operations, customer interactions, and data analysis.
Develop models that understand and generate human language responses with authenticity and strong reasoning skills.
Enhance LLM responses with superior NLP and RAG strategies
Trusted by leading brands
What's our secret for great results in NLP?
Our NLP and RAG services focuses on enhancing your LLM’s ability to process, understand, and generate human language. By integrating state-of-the-art pretrained models, fine-tuning them if needed, or building custom models from the ground up, we enable you to achieve superior language comprehension and generation capabilities.
Our expertise in Retrieval-Augmented Generation (RAG) ensures your models are not only smart but also contextually aware, providing more accurate and relevant outputs.
Reliable and consistent responses
Minimised hallucinations
Data & IP security guaranteed
Models with traceable logic
Our NLP and RAG services
Pretrained model utilisation
Harness the power of existing NLP models to quickly and effectively improve your LLMs and operations. We help you select the most suitable pretrained models for your needs, integrating them seamlessly into your existing systems. This approach accelerates deployment times and reduces costs, allowing you to benefit from advanced NLP capabilities without the need for extensive in-house development.
Model fine-tuning
Pretrained models are powerful, but they often require customisation to align with your specific business requirements. Our experts fine-tune these models to improve performance on your unique datasets, ensuring they deliver the highest levels of accuracy and relevance. Through careful adjustments and optimisations, we enhance the model’s ability to understand and respond to your specific context and needs.
Custom model development
When off-the-shelf solutions don’t meet your needs, our team builds custom NLP models tailored to your exact specifications. We work closely with you to understand your objectives, data, and desired outcomes, developing models that provide precise and effective language processing and generation capabilities. Our custom solutions are designed to scale with your business, adapting to new challenges and opportunities as they arise.
LLM enhancement with RAG
RAG combines the strengths of NLP with the ability to retrieve relevant info from large datasets, creating models that are not only generative but also contextually enriched. We implement RAG techniques to improve the quality of outputs, making them more informative, accurate, and contextually appropriate. This approach is particularly valuable for applications requiring detailed and precise information, such as customer support, content creation, and data analysis.
Opportunities with NLP and RAG
Enhanced customer interaction
NLP and RAG can revolutionise how you interact with your customers. By deploying advanced NLP models, you can provide more accurate and context-aware responses in real-time, enhancing the customer experience. This leads to increased satisfaction and loyalty, as customers feel understood and valued.
Automated chatbots and virtual assistants powered by NLP can handle a significant volume of inquiries, freeing up your human agents to focus on more complex issues, ultimately improving overall efficiency and response times.
Data-driven insights and actions
Unlocking valuable insights from vast amounts of textual data is a game-changer for businesses. NLP allows you to analyse customer feedback, social media interactions, and other textual data sources to identify trends, sentiments, and emerging issues. This data-driven approach helps in making informed decisions, improving products and services, and staying ahead of the competition.
By leveraging RAG, you can retrieve the most relevant information from large datasets, ensuring that your insights are not only accurate but also highly relevant to the context of your queries.
Automation of repetitive tasks
Routine tasks such as data entry, report generation, and content creation can be time-consuming and prone to human error. NLP and RAG can automate these tasks, increasing efficiency and accuracy while reducing operational costs.
For instance, NLP can be used to automatically generate reports by extracting key information from various documents, while RAG can ensure that the generated content is enriched with relevant, up-to-date information. This automation frees up your employees to focus on more strategic and creative tasks, driving innovation and productivity within your organisation.
Authentic personalisation
Delivering personalised experiences is crucial in today’s competitive market. NLP can analyse customer interactions to understand individual preferences, behaviors, and needs. This allows you to tailor your communications, product recommendations, and marketing strategies to each customer, enhancing their experience and driving engagement.
With RAG, the personalisation can be taken a step further by retrieving and incorporating specific information relevant to each user’s context, making every interaction more meaningful and impactful.
State of AI Adoption, Zartis, 2024
38% of tech leaders we interviewed stated that they plan to use AI to improve their customer service experience.
Are you ready to start your own AI transformation journey?
NLP and RAG projects & case studies
development
Challenges and Solutions
Data quality
Ensuring the data used for training is clean and representative can be difficult. Our team helps you prepare and curate high-quality datasets.
Model bias
Ensuring the data used for training is clean and representative can be difficult. Our team helps you prepare and curate high-quality datasets.
Scalability
Ensuring the data used for training is clean and representative can be difficult. Our team helps you prepare and curate high-quality datasets.
Security & privacy
Ensuring the data used for training is clean and representative can be difficult. Our team helps you prepare and curate high-quality datasets.
