Einstein unlocked the power of the atom, sliders unlock the power of free will.
Front-end: Users don’t select answers—they express how much they care. Sliders capture intensity, hesitation, conflict, and trade-offs in real time. Instead of forcing a choice, the interface lets judgment stay fluid—so competing priorities remain in play as the decision forms.
Back-end: Every interaction generates a live judgment field: a structured map of what the user values, how strongly, and where tensions exist. We don’t just capture position—we capture magnitude and contradiction. That field becomes a reusable decision substrate that can drive ranking, prediction, alignment, or adaptation across any system.
What is JMOS?
JMOS is our core technology: a foundational engine that models how preferences collapse into decisions under competing constraints. It’s protected by 15+ patents covering a broad constellation of field-collapse domains, from bias-to-decision to identity, mood, narrative bias, active persona modulation, cognitive synthesis, ethical interpretation and more. Modules built on JMOS include:
1. Licensing Our Technology to the World
We integrate Sliders into existing ecosystems – platforms, marketplaces, chatbots, enterprise tools – and license the tech + models powering it (or compete directly with them).
| Company | Why they’ll license |
|---|---|
| ADP | Better quantify employee preferences, reduce churn, and optimize internal recommendations in HR platforms. |
| Alphabet (Google) | Personalize search, tune agents, and enrich user data across YouTube, Ads, and Gemini. |
| Stride | Increase student engagement and self-guided learning outcomes using emotional feedback layers. |
| Meituan | Optimize food/service recommendations based on sentiment, urgency, and emotional state. |
| Indeed | Match candidates with jobs using sliders for intent, willingness, and role preference modeling. |
| Jane Street | Give quant traders emotional context for decision-making and portfolio stress scenarios. |
| Johnson & Johnson | Reduce disengagement in trials and increase patient retention via sentiment-sensitive UX. |
| Medtronic | Interpret and adjust feedback loops in health devices using real-time emotional sliders. |
| Palantir | Add affective layers to large-scale modeling platforms — defense, enterprise, public health. |
| Zillow | Fine-tune listing relevance and intent modeling in high-variance, high-emotion home searches. |
| Publicis Groupe | Personalize ad targeting with behavioral sliders that go beyond demographics and clicks. |
| Walmart | Enhance product discovery and impulse shopping using micro-emotional profiles. |
| Meta | Power agent economy interactions and tune LLM behavior via direct emotional input. |
| Sony | Adapt game difficulty, mood pacing, and narrative beats to player behavior in real time. |
| Tinder | Move beyond swipe fatigue and into emotion-rich partner matching. |
2. Building Our Own Ventures
We’re not just licensing. We’re building.
These include:
| Product/Patent | Why people will use it |
|---|---|
| SituSlide (Mood ψ² Existence) | Express mood non-verbally in AI chats, improving agent empathy and tuning. |
| Identinoise Story ψ² Identity) | Generate biographical and brand storytelling through emotionally coherent timelines. |
| Story Arc (Character ψ² Scene) | Develop resonant characters and narratives in games, film, or education. |
| Mischievousity (Reaction ψ² Action) | Simulate unpredictable responses for game AI, improv tools, or behavioral agents. |
| Soil Lover (Microbe ψ² Support) | Model micro-scale emotional health and community resilience in AR/VR tools or education. |
| Dialectic Sliding (Opposites ψ² Synthesis) | Resolve contradictions and polarities for mental health, mediation, or design. |
| Integrify (Interpretation ψ² Ethic) | Guide complex ethical decisions in AI assistants, chatbots, and governance tools. |
| Hoverboard (Multiverse ψ² Universe) | Build wild, user-driven physics playgrounds with real-time emotional rule-breaking. |
| ThoughtLang (Language ψ² Word) | Create highly personalized, meaning-rich AI chat environments and next-gen LLM inputs. |
These aren’t app ideas. These are modular cognition engines. Sliders isn’t a feature — it’s the kernel for intelligent, emotionally aware systems.