VoiceOps & Multimodal Data

High-quality data for voice agents and multimodal copilots

Expert-driven data operations for voice agents and multimodal AI. From audio labeling to conversation QA to ASR correction, we provide the high-quality data infrastructure your voice and multimodal systems need.

Specialized labeling, QA, and evaluation for voice and multimodal AI systems.

Methodology: Our VoiceOps Methodology

Expert-driven data operations for voice and multimodal AI. From audio labeling to conversation QA, we provide the high-quality data infrastructure your systems need.

  • Audio intent labeling
  • Conversation quality scoring
  • ASR correction pipelines
  • Multimodal alignment

Modules & Capabilities

  • Audio Labeling

    Intent, sentiment, compliance flags, and escalation triggers

  • Conversation QA

    Script adherence, empathy scoring, and resolution quality

  • ASR Correction Sets

    Domain vocabulary, accents, and noisy environment corrections

  • Multimodal Evaluation

    Image+text reasoning and UI screenshot understanding

Results: Superior Voice & Multimodal AI

Voice agents and multimodal systems trained and evaluated with our data operations deliver better user experiences and higher accuracy.

  • Improved transcription accuracy
  • Higher conversation quality
  • Better multimodal understanding
  • Production-ready datasets

Deliverables

  • Labeled audio minutes / conversation sets
  • Rubrics for agent scoring
  • Compliance and escalation accuracy metrics
  • Dataset export + governance notes

Get started with VoiceOps & Multimodal Data - contact our team for a scoping call.