Human data services built around your AI workflow.
From targeted collection to annotation, transcription, evaluation and quality assurance, Life Inc helps teams turn real-world human input into reliable AI-ready data.
DATA
→ AI
Capture the human data AI systems need.
Structured collection programs designed around language, modality, geography, participant profile and project scale.
Speech & Audio
Voice recordings, commands, conversations, accents and domain-specific speech data.
Discuss a project →Conversational Data
Human conversations and interaction data for conversational AI and assistant systems.
Discuss a project →Handwriting Data
Controlled handwriting collection using digital devices and participant workflows.
Discuss a project →Image & Video
Real-world visual data collected to precise instructions and project specifications.
Discuss a project →Field Data
Location-aware and real-world collection programs with controlled recruitment and QA.
Discuss a project →Multilingual Collection
Regional language and dialect recruitment for India-focused and global data requirements.
Discuss a project →Transform raw input into useful training data.
Human-led data preparation and evaluation services supporting model development, testing, localization and continuous improvement.
Data Annotation
Text, image, audio and video annotation with clear guidelines and structured review.
Discuss a project →Transcription
Accurate human transcription across languages, accents and selected domains.
Discuss a project →AI Evaluation
Human judgment, ranking, response quality, relevance and model-output evaluation.
Discuss a project →Generative AI Training
Human feedback and structured workflows supporting generative AI systems.
Discuss a project →Translation & Localization
Localized language data and content adapted for target markets and audiences.
Discuss a project →Data Relevance & Rating
Human assessment of search, content, responses and data relevance against defined criteria.
Discuss a project →Quality controls that protect the final dataset.
Operational discipline across screening, validation, review and delivery — with workflows designed for repeatable quality.
Quality Assurance
Layered checks, sampling, reviewer workflows and delivery validation.
See capabilities →Human-in-the-Loop
Human expertise integrated into AI workflows where judgment and context matter.
Discuss a project →User Studies & Research
Participant recruitment and structured research data collection for product and AI teams.
Discuss a project →Data Validation
Verification and consistency checks to improve dataset completeness and reliability.
See capabilities →Project Operations
Recruitment coordination, instruction rollout, communication and delivery management.
See capabilities →Content Moderation
Human review workflows aligned to defined content policies and project requirements.
Discuss a project →One workflow. Clear ownership. Measurable quality.
Scope
Understand the data, audience, language, volume and quality requirements.
Recruit
Activate suitable vendors and contributors for the defined profile.
Execute
Run collection, annotation or evaluation through controlled workflows.
Review
Apply validation, sampling and QA checks before delivery.
Deliver
Provide organized outputs aligned with agreed specifications.
Have a data requirement?
Tell us what you need. We’ll help shape the right operational approach.