Sigma Perception
Train AI to understand what humans really mean
Train AI to understand what humans really mean
Generative AI can mimic language — but it doesn’t grasp tone, intent, or context. Sigma Perception teaches AI how humans interpret meaning. We fine-tune your models to recognize nuance, emotion, and unspoken signals — creating responses that feel intuitive, accurate, and human.
WHAT WE DELIVER
AI that gets it
Our expert annotators bridge the empathy gap between human communication and machine output. Through structured perception workflows, we help models go beyond words to recognize how users feel, what they mean, and what’s appropriate.
Core workflows include:
- Side-by-side evaluation: Compare model outputs based on tone, appropriateness, and clarity.
- Tone & intent annotation: Tag emotions, sentiment, and intent to teach AI what to say — and how.
- Cultural & nonverbal contextualization: Incorporate body language cues, cultural sensitivities, and regional norms.
- Content moderation: Prevent unsafe, offensive, or inappropriate responses before they reach users.
- Bias detection: Identify and flag subtle, harmful outputs before they do damage.
Example workflow
+ The artifact
Listen to two AI-generated versions of the same message with different inflections: an airline agent saying, “I’m happy to rebook your flight — no problem at all!”
+ The task
Which version sounds more helpful and emotionally aligned with the reference? Explain which audio better conveys calm reassurance.
+ The impact
This task requires empathetic listening and emotion recognition— subtleties only humans can consistently interpret. It ensures AI voices carry the right emotional intent for customer-facing roles.
HOW WE DO IT
Judgment you can’t code
Machines can’t replicate human perception — but we can teach them how to get close. Sigma builds annotated datasets that reflect:
- Emotional nuance and user intent
- Cross-cultural expectations and tone shifts
- Real-world acceptability standards
- Human benchmarks for what “good” looks like in your domain
WHY IT MATTERS
Because users judge AI like a human
If your model can’t “read the room,” it risks sounding robotic, out of touch, or offensive. Worse, it may misinterpret user needs — delivering answers that confuse, irritate, or alienate.
With Sigma Perception, you gain:
- Empathetic and engaging user experiences
- Stronger brand voice alignment
- Reduction in harmful or biased outputs
- Localized, culturally appropriate responses
Discover the new standards for AI quality
Discover the new standards for AI quality
Traditional AI chased 99.99% accuracy — but gen AI demands nuance, judgment, and creativity. Learn the 10 new markers for quality human data annotation that power smarter, safer LLMs.
Ready to learn more?
Get in touch with our sales team to learn more about what Sigma Perception can do for your business.
Our other services
Truth
Ground your models in reality. Our experts validate facts, correct inaccuracies, and prevent hallucinations using workflows like ground truth, attribution, and factual rewriting.
Learn about Sigma Truth
Meaning
Language is more than words. We deliver transcription, translation, and cultural calibration so your models grasp intent, nuance, and local relevance — across 700+ languages and dialects.
Learn about Sigma Meaning
Integration
Teach your model to think in context. We support multimodal labeling, prompt engineering, iterative refinement, and RLHF — ensuring your AI reasons, not just reacts.
Learn about Sigma Integration
Data
Start strong with the right training data. We source, collect, annotate, and synthesize diverse datasets that reflect real-world complexity and reduce downstream failure.