NLP, Speech & Conversational
AI Data
Globik AI delivers comprehensive NLP, speech, and conversational AI data services that enable language models, voice systems, and enterprise assistants to understand communication as humans do. Our capabilities span text, speech, and multilingual datasets, supported by linguistic expertise and domain-aware validation.
These services power foundational language models, enterprise conversational systems, and multilingual AI deployments across global markets.
Text annotation &
linguistic labeling
Globik AI provides advanced linguistic annotation that captures the structural and semantic components of language.Text data is labeled across grammatical structure, parts of speech, syntax, semantics, and discourse-level relationships. This enables models to understand how words interact within sentences and how meaning evolves across paragraphs and documents.Linguistic annotation supports both classical NLP pipelines and modern transformer-based language models.
Applied Across:
Language understanding systems
Text classification and summarization models
Information extraction pipelines
Domain-specific language modeling
Large language model training
Named Entity
Recognition (NER)
Globik AI enables precise identification and classification of entities within unstructured text.Entities such as people, organizations, locations, financial values, dates, identifiers, and domain-specific terms are labeled with contextual awareness. Domain-adapted NER supports industry-specific vocabularies across healthcare, finance, legal, and enterprise operations.This structured entity layer forms the backbone of search, analytics, and knowledge systems.
Common applications include:
Document intelligence and extraction
Knowledge graph construction
Search indexing and retrieval
Compliance monitoring
Enterprise analytics pipelines
Intent, sentiment &
contextual labeling
Globik AI annotates text and conversational data to capture user intent, emotional sentiment, urgency, and contextual dependencies. Annotation frameworks support multi-intent scenarios, implicit meaning, and domain-specific language patterns.This enables conversational systems to respond appropriately rather than literally.
Used extensively in:
Customer support automation
Virtual assistants and chatbots
Voice response systems
Feedback and review analysis
Behavioral analytics
Conversational datasets
& dialog flows
Globik AI builds structured conversational datasets that mirror real-world interactions.Dialog flows include greetings, clarifications, follow-up queries, interruptions, escalations, and resolution paths. Conversations are annotated for turn-taking, intent transitions, and contextual memory across sessions.These datasets allow conversational systems to move beyond scripted responses toward natural, human-like engagement.
Applied to:
Enterprise chatbots
Customer experience platforms
Voice assistants
Internal AI copilots
Multilingual support systems
Speech transcription
& translation
Globik AI converts spoken language into accurate, time-aligned text and multilingual translations.Speech datasets include diverse accents, speaking styles, background noise conditions, and domain terminology. Transcription workflows preserve timestamps, speaker changes, and conversational flow to support advanced voice models.Translation pipelines enable cross-language accessibility and global deployment of voice-driven applications.
Common use cases include:
Voice assistants and IVR systems
Call center analytics
Media transcription
Accessibility solutions
Multilingual voice platforms
Speaker diarization, emotion
& accent tagging
Globik AI annotates audio streams to identify individual speakers, emotional states, speech patterns, and accent characteristics. These labels support speaker-aware systems and emotion-sensitive AI models.This capability enhances personalization, analytics, and real-time decision systems.
Applied in:
Contact center intelligence
Voice biometrics
Behavioral analytics
Meeting summarization tools
Audio surveillance systems
Multilingual & low-resource
language datasets
Globik AI develops language datasets across major global languages as well as low-resource and regional dialects.Our datasets support Indian languages, regional variants, and underrepresented global languages, enabling inclusive AI systems that scale across geographies. Annotation incorporates cultural context, native linguistic review, and dialect-level validation.This ensures consistent performance across markets rather than bias toward high-resource languages.
Used for:
Multilingual large language models
Regional conversational AI
Speech recognition systems
Government and public-sector platforms
Global enterprise deployments
Real-World Application Example
A global enterprise deploying AI-driven customer support across regions must handle multiple languages, accents, intents, and emotional contexts.
Globik AI supports such systems by creating multilingual conversational datasets, annotating intent and sentiment, transcribing and translating speech data, and labeling speaker attributes. This allows conversational models to understand not only what users say, but what they mean and how they feel.
The result is improved resolution accuracy, better customer experience, and scalable language intelligence across markets.
Why Enterprises Choose This Capability
Globik AI’s multimodal data annotation and labeling capability is designed for production environments where data diversity, scale, and quality determine success. By combining multimodal coverage, temporal understanding, cross-modal alignment, and targeted edge-case handling, this solution supports AI systems that perform reliably beyond controlled conditions.
Talk to an Expert
All Rights Reserved.
