Services
We work with companies building AI
that needs to understand people.
Three ways to work together. Each grounded in the same conviction: AI that models humans accurately — emotionally, contextually — performs better.
Service
Humanization Audit
Find where your AI is subtly wrong — and why.
Most AI products feel slightly off. Users can't name it, but they feel it. They stop returning. They say the tool "doesn't get them." The problem is almost always the same: the product models users as rational agents, when people are emotional beings who happen to reason. A Humanization Audit maps the gap.
We analyze your product against the cognitive and emotional reality of the people using it — and deliver a prioritized map of what's wrong and how to fix it. Not a UX review. Not a user research report. A diagnosis grounded in cognitive science.
Right for
- AI products with unexplained churn or stagnant engagement
- Teams that know something is off but can't locate it
- Products entering a market where emotional resonance determines adoption
What we examine
Emotional layer
Where is the product ignoring the emotional signals that actually drive behavior?
Personalization depth
Does the product treat users as individuals or as a demographic?
Trust architecture
How does every interaction build or erode user trust?
Communication model
Does the product speak to users' rational layer, emotional layer, or both — and when?
Cognitive friction map
Where does the product create load at the wrong moments in the emotional journey?
What you get
- 30-40 page written audit report
- Prioritized findings by impact on retention and engagement
- 2-hour presentation and Q&A session
- 30-day follow-up access
Service
Technology Licensing
Emotional analysis models, available for your product.
Nodymic runs on a stack of validated models for predicting how content lands emotionally — before anyone sees it. If your product generates, evaluates, or delivers content to humans, those models may be exactly what you're missing.
These are not off-the-shelf APIs. They're models calibrated on research-grade datasets, validated against established benchmarks in cognitive and affective science. The same models that power Nodymic's analysis are available to license for integration into your product.
Right for
- Advertising platforms scoring creative before it goes live
- AI writing tools predicting whether copy will move people
- Media companies measuring content quality beyond clicks
- Product teams building AI that needs emotional context
What we examine
Emotional response prediction
Valence and arousal scores for images, video, and text.
Attention and engagement modeling
Predicts where attention goes and how long it stays.
Memorability forecasting
Predicts whether content will be remembered after a single exposure.
Affect classification
Maps content to discrete emotional states (8-category Mikels framework).
Russell circumplex positioning
Places content in the 2D affective space of valence × arousal.
What you get
- API access with documentation
- Integration support and onboarding
- Model cards with validation benchmarks
- Usage-based pricing — scale with your product
Service
Co-development
We build the emotional intelligence layer of your product.
Some of what we do doesn't fit into an audit or a license. For teams building something genuinely new at the intersection of AI and human psychology, we work alongside you — from research through implementation.
This is for companies that are trying to build something that genuinely understands the people using it, and need a partner who has spent years working on exactly this problem. We bring the research, the framework, and the build — you bring the domain knowledge and the distribution.
Right for
- Early-stage teams building human-AI interaction products
- Growth-stage companies adding an emotional intelligence layer
- Organizations in healthcare, education, or automotive where emotional context is mission-critical
What we examine
Research phase
We define what emotional and cognitive signals matter for your use case and what the literature says about them.
Architecture phase
We design how emotional understanding integrates with your existing product and data.
Build phase
We implement alongside your team or independently, with full knowledge transfer.
Validation phase
Real-world calibration and measurement against behavioral outcomes.
What you get
- Research synthesis document
- Architecture decision record
- Production implementation
- Validation report with benchmarks
- Ongoing advisory access post-delivery
Not sure which fits?
Tell us what you're building and we'll figure it out together.
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