AI Data Services

Text, image, video, and audio annotation pipelines for AI/ML models backed by our global network of domain-expert SMEs.

01

Text & NLP Annotation

Labeling textual datasets for sentiment analysis, entity linking, translation pairs, content classification, and training large language models (LLMs).

Why We Are Specialized

  • Experienced linguists managing grammar, dialects, slang, and technical context tagging.
  • Inter-annotator agreement pipelines (Cohen's Kappa metrics) guarantee high quality.
  • Strict data security sandboxes conform to standard corporate protection frameworks.

How We Do It

  1. Schema Definition: Aligning annotation guidelines, target tags, and project metrics.
  2. Pilot Phase: Labeling a tiny test dataset to verify annotator alignment.
  3. Annotation Run: Executing text tagging inside secure label interfaces.
  4. Quality Check: Reviewing data samples and applying consensus metrics to filter errors.
02

Image & Video Annotation

Drawing bounding boxes, semantic segmentation, polygon outlines, and tracking keypoints on images or video frames for computer vision models.

Why We Are Specialized

  • High precision bounding box alignments down to the single pixel level.
  • Video tracking experts optimizing object linkages across consecutive video frames.
  • Experienced handling specialized scientific, medical (DICOM), and industrial image datasets.

How We Do It

  1. Target Definition: Setting criteria for label thresholds, margins, and naming rules.
  2. Labeling Pass: Drawing polygons, labels, boxes, or landmark keypoints.
  3. Temporal Alignment: Tracking linked objects across frame steps for video files.
  4. Consensus Check: Comparing multiple annotator outputs to guarantee maximum dataset precision.
03

Audio Transcription & Labeling

Transcribing spoken voice files, segmenting speaker segments, labeling noise, and annotating dialects for speech processing models.

Why We Are Specialized

  • Multilingual transcribers supporting complex accents and localized dialects.
  • Clean time-alignment Down to milliseconds level.
  • Specialized formatting templates supporting both verbatim and clean transcript outputs.

How We Do It

  1. Acoustic Isolation: Cleaning audio profiles and segmenting files by speaker change.
  2. Transcription Pass: transcribing text values and marking accents/dialects.
  3. Time Sync: Inserting structural time stamps to align text with audio blocks.
  4. Validation: Auditing transcribed strings against audio files to filter spelling errors.
04

SME-Curated Datasets

Sourcing, building, and annotating high-value datasets for scientific, medical, financial, and legal ML models involving credentialed SMEs.

Why We Are Specialized

  • Access to over 500+ Subject Matter Experts (PhDs, doctors, lawyers, analysts) globally.
  • Domain-expert tagging ensures high quality for specialized technical prompts.
  • Custom database building matching specific academic or business research directions.

How We Do It

  1. Expert Recruitment: Selecting credentialed SMEs matching the database subject.
  2. Guideline Training: Training experts on labeling tools and tag parameters.
  3. Expert Annotation: Processing content through SME labeling pathways.
  4. Consensus Audits: Checking scientific datasets for precision and ground truth logic.
Get Started

Request Custom Dataset

Connect with Anand Murugan and our AI services coordinator to configure data labeling workflows for your ML pipelines.