Shaip provides secure, scalable generative AI training data solutions, including data collection, expert data annotation, multilingual datasets, and synthetic data generation—trusted by enterprises building next-generation LLMs and foundation models.
Empowering teams to build world-leading AI products.
Generative AI and large language models (LLMs) require massive volumes of high-quality training data to produce accurate, reliable, and context-aware outputs. Shaip delivers enterprise-ready generative AI training data solutions powered by domain experts, ensuring model responses are not only contextually relevant but also trustworthy.
Our custom AI datasets are precisely aligned with your use case, industry requirements, and compliance standards, supported by expert data annotation workflows that ensure high-quality, compliant training data for reliable, domain-specific generative AI systems.
Domain-specific, compliance-ready training data curated by experts to support LLM development and fine-tuning across regulated and high-impact industries.
Medical Imaging Analysis: Generate and enhance medical images for diagnostics.
Clinical Documentation: Automate medical record summarization and transcription.
Fraud Detection: Generate scenarios to test fraud detection systems.
Risk Assessment: Analyze and simulate financial risks with AI models.
Autonomous Driving: Simulate road scenarios for training self-driving models.
Voice Command Systems: Enhance voice recognition and response accuracy for in-car systems.
Product Recommendations: Generate personalized recommendations using user behavior.
Visual Content Creation: Create product images, videos, and descriptions.
Claim Processing: Automate claim summarization and fraud detection.
Risk Modeling: Simulate scenarios to evaluate and predict risks.
Chatbots: Enhance customer service with AI-powered virtual assistants.
Content Recommendations: Suggest personalized content for users based on their preferences.
From data collection and domain-specific content creation to human feedback, quality assurance, and model validation—delivered by experts to ensure accurate, trustworthy LLM outputs.
We gather and curate data to refine language models for precision and accuracy.
We craft and optimize natural language prompts to mirror diverse user interactions with your AI.
Our service creates specialized text for sectors like legal and medical to train your domain-focused AI.
Our extensive network enables a thorough comparison of AI answers to enhance model accuracy and dependability.
Our approach uses flexible scales to measure and reduce toxic content in AI-generated communications accurately.
Our tailored feedback ensures that AI responses have the appropriate tone & brevity for specific user scenarios.
We assess gen AI results for quality across markets and languages to fine-tune AI to align with market-specific needs through RLHF.
We rigorously evaluate AI-generated content to ensure it is factual and realistic to prevent the spread of misinformation.
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.
Ever scratched your head, amazed at how Google or Alexa seemed to ‘get’ you? Or have you found yourself reading a computer-generated essay that sounds eerily human? You’re not alone.
Human intelligence to transform Natural Language Processing (NLP) into high-quality training data for machine learning with text and audio annotation.
AI feeds on copious amounts of data & leverages machine learning (ML), deep learning (DL) & natural language processing (NLP) to continually learn & evolve.
Build Excellence in your Generative AI with quality datasets from Shaip
They include collecting, curating, annotating, and validating datasets used to train, fine-tune, and evaluate generative AI models like LLMs.
Yes. We create training datasets designed for supervised fine-tuning (SFT), instruction tuning, and prompt optimization.
RLHF improves model alignment using human feedback. Shaip supports it through answer comparison, ranking, and quality evaluation workflows.
Domain experts ensure training data is contextually accurate, trustworthy, and aligned with real-world use cases.
Yes. We build custom AI datasets aligned with your use case, industry requirements, and compliance standards.
We use expert-led guidelines, human-in-the-loop validation, and multi-layer quality checks to maintain consistent data accuracy.
Yes. We support multilingual and region-specific datasets to enable global LLM deployment.
We follow strict security and compliance practices, including GDPR-aligned processes and data anonymization.
Yes. Our solutions are built to support large-scale, multi-language, and multi-domain AI programs.
