Enterprise-ready LLM training data services with domain-specific datasets that improve model accuracy, performance, and real-world relevance at scale.
Empowering teams to build world-leading AI products.
The success of large language models depends on the quality and relevance of the data used to train them. Generic or poorly structured datasets often lead to inconsistent outputs, limited domain understanding, and reduced business value.
Shaip provides LLM training data services built for enterprise AI, delivering domain-specific datasets that enhance model accuracy, performance, and real-world applicability. Our approach helps businesses move beyond prototypes to production-ready LLMs that deliver measurable results.
From industry-focused language understanding to scalable data solutions, Shaip supports organizations at every stage of their LLM journey—ensuring models are trained on data that reflects real users, real language, and real business needs.
Our wealth of expertise in natural language processing (NLP), computational linguistics, and AI-driven content creation allows us to generate superior results, overcoming the “last-mile” challenges in AI implementation.
Scalable, domain-specific training data services designed to enhance model accuracy, safety, and relevance across enterprise AI use cases.
Training data designed to power accurate question answering, summarization, multimodal understanding, evaluation, and conversational AI at scale.
Create Question-Answer pairs by thoroughly reading large documents (Product Manuals, Technical Docs, Online forums & Reviews, Industry Regulatory Documents) to enable companies to develop Gen AI by extracting the relevant info from a large corpus. Our experts create high-quality Q&A pairs such as:
» Q&A pairs with multiple answers
» Creation of surface level questions (Direct data extraction from reference Text)
» Create deep level questions (Correlate with facts & insights not given in reference text)
» Query Creation from Tables
Our experts can summarize the entire conversation or long dialogue by inputting concise and informative summaries of large volumes of text data.
Transform how you interpret images with our advanced AI-powered Image Captioning service. We breathe life into images by generating precise and contextually rich descriptions, opening up new ways for your audience to interact and engage with your visual content more effectively.
Train models with a large dataset of audio recordings with various sounds, such as music, speech, and environmental sounds, to generate audio, such as music, podcasts, or audio books.
Caption
The main soundtrack of an arcade game. It is fast-paced and upbeat, with a catchy electric guitar riff. The music is repetitive and easy to remember, but with unexpected sounds, like cymbal crashes or drum rolls.
Generated audio
Train models that understand spoken language, i.e., applications, such as voice-activated assistants, dictation software, and real-time translation based on a large dataset of audio recordings of speech with corresponding transcripts.
We offer a large dataset of audio recordings of human speech to train AI models to create natural, engaging voices for your applications, offering your users a unique and immersive auditory experience.
In the world of machine learning, ensuring that a model understands and generates human-like text based on given prompts is paramount. This process involves rigorous dataset evaluation through human rating and quality assurance (QA) validation. Evaluators critically assess the prompt-response pairs in a dataset and rate the relevance and quality of the responses generated by a Language Learning Model (LLM).
Dataset comparison involves meticulous analysis of various response options for a single prompt. The objective is to rank these responses from best to worst based on their relevance, accuracy, and alignment with the context of the prompt.
Synthetic Dialogue Creation harnesses the power of Generative AI to revolutionize chatbot interactions and call center conversations. By leveraging AI’s capacity to delve into extensive resources such as product manuals, technical documentation, and online discussions, chatbots are equipped to offer precise and relevant responses across a myriad of scenarios. This technology is transforming customer support by providing comprehensive assistance for product inquiries, troubleshooting issues, and engaging in natural, casual dialogues with users, thereby enhancing the overall customer experience.
In Generative AI, Image Summarization, Rating & Validation involve machine learning models that curate and assess images, generating summaries and quality ratings. Human feedback fine-tunes AI accuracy, ensuring the content meets nuanced standards, enhancing reliability.
Fast-track your transformation with our rapid Proof of Concept (POC) deployments—turning ideas into reality within weeks.
AI isn’t one-size-fits-all. We create industry-specific prompts to ensure precise, relevant, and insightful AI-generated content for your audience.
We ensure GDPR, HIPAA, and SOC 2 compliance, protecting sensitive AI training data.
We provide industry-focused datasets for healthcare, legal, fintech, and other specialized fields.
We deliver unmatched expertise in cloud, data, AI, and automation through our technology partner ecosystem.
We deliver clean, structured, and bias-free datasets that improve the performance of RAG-powered AI applications.
Use our LLM Solutions to build precise and high-quality AI models.
Yes. LLM training data can be customized by domain, use case, language, and complexity to match specific business and application requirements.
Domain-specific data helps models better understand industry terminology and context, leading to more accurate, relevant, and reliable outputs.
Yes. Fine-tuning existing LLMs requires high-quality training data to adapt models to specific tasks, domains, or enterprise workflows.
Quality is ensured through structured validation, consistency checks, and continuous evaluation to maintain accuracy and real-world relevance.
Yes. Shaip delivers multilingual LLM training data across languages, regions, and cultural contexts.
LLM training data services are designed to scale based on project size, complexity, and timeline, supporting both pilot and production workloads.
Most enterprises begin by defining use cases, data requirements, and success metrics before engaging a provider to deliver custom datasets.
Shaip provides enterprise-ready LLM training data services with domain-specific datasets, global scale, and proven expertise supporting real-world AI deployment.
