Capabilities

Six ways human expertise shapes AI.

TazQ delivers expert-validated human data for frontier AI across six areas: Frontier Alignment, Agentic AI, Multimodal & Speech AI, Physical AI, Model Integrity and Research Services. Each combines trained specialists, clear guidelines and layered review to train and evaluate models that need real human judgment.

All capability areas

01 /↗

Frontier Alignment

Expert demonstrations, reasoning traces, and human preferences that help capable models become more useful, reliable, and aligned.

  • Expert-written demonstrations and structured reasoning examples
  • Human preference comparisons and task-specific rubrics
  • Adversarial prompts and safety-focused review
  • RLHF
  • Reasoning
  • SFT
Explore Frontier Alignment
02 /↗

Agentic AI

Human-led trajectories, realistic task environments, and deep evaluation for agents that need to act, adapt, and complete real work.

  • Human-demonstrated tool-use and computer-use trajectories
  • Task design with clear goals and success criteria
  • Agent failure analysis and contextual evaluation
  • Trajectories
  • RL environments
  • Evaluation
Explore Agentic AI
03 /↗

Multimodal & Speech AI

Language, voice, image, and video data with the context models need to connect what they see, hear, and understand.

  • Speech transcription, conversational audio, and TTS review
  • Image-language annotation and video action labeling
  • Multilingual quality checks and voice-agent evaluation
  • ASR
  • TTS
  • VLM
Explore Multimodal & Speech AI
04 /↗

Physical AI

Egocentric recordings, sensor annotation, and human demonstrations that connect embodied systems to the complexity of the physical world.

  • First-person activity data and embodied demonstrations
  • LiDAR, multi-camera, and sensor annotation
  • Interaction sequences for robotics and world-model development
  • Robotics
  • LiDAR
  • World models
Explore Physical AI
05 /↗

Model Integrity

Human evaluation that investigates hallucinations, bias, and failure modes—turning uncertain model behavior into clearer quality signals.

  • Hallucination, bias, and failure-mode assessment
  • Human evaluation against explicit quality and safety criteria
  • Repeatable test sets and review of edge cases
  • Evaluation
  • Safety
  • Robustness
Explore Model Integrity
06 /↗

Research Services

Expert-designed benchmarks, calibrated judging, and carefully reviewed synthetic data for teams exploring the next frontier of AI.

  • Custom benchmarks built around real research questions
  • Calibrated model judging with human review
  • Synthetic data development and expert quality checks
  • LLM judges
  • Synthetic data
  • Benchmarks
Explore Research Services

Different capabilities. One shared foundation: human judgment.

Your next frontier

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what comes next.

A better model starts with a clearer question.
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For AI teams

Scope your project in about a minute. A specialist reads every brief and replies with next steps.

For human expertsExplore TazQ Academy
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