As the AI industry evolves rapidly, organizations are increasingly looking for trusted enterprise-grade partners to strengthen their Genai strategy with high quality, diverse, and trainable training data. In response, SHAIP is expanding its data infrastructure and products significantly. It is a comfortable position as a leading provider of secure multimodal AI datasets and end-to-end Genai services.
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Shaip's platform is dedicated to enterprise AI and offers:
– Multimodal data coverage for text, audio, images and video
– End-to-end Genai services including RLHF, prompt rankings, summaries, alignments, content comparisons, and QA workflows
– A global workforce of over 500,000 trained annotators who are fluent in over 50 languages and specialize in the domains of healthcare, legal, technical and conversation.
Shaip also offers gold standard datasets that are readily available in major Genai domains.
– Healthcare: 30m+ identified patient notes across 30+ specialties, 280k+ doctor-patient conversations, 30k+ clinical documents with entities and relationship annotations, and 1M or more medical images (MRI, CT, X-ray)
– Conversational AI: 140k+ audio data in over 70 languages, 140K+ time data including wake word detection, IVR, script and spontaneous voice, speech, TTS, and multi-speaker interaction
– Computer Vision: 60k+ hood and document images, 50k+ facial recognition and anti-spoofing data set
“As AI landscapes evolve so quickly, companies are reevaluating how important training data is managed and procured,” said Hardik Parikh, co-founder and CRO of Shaip. “We have built SHAIP to be our go-to data platform for organizations that demand transparency, compliance and accuracy at scale.”
SHAIP's AI data platform allows teams to accelerate development timelines, increase model accuracy, and maintain control over sourcing, quality assurance, and delivery.
Companies looking to strengthen or stabilize their Genai data pipeline can engage with SHAIP through customized pilots and domain-specific solutions designed to support responsible, scalable AI development.
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