Physical and spatial world models simulate geometry and motion for agents. Real Nova World adds the missing layer: relationships, memory, and long-horizon behavior — anchored in a persistent society, not a chat box.
As world models become the operating system for agents, RNW provides the emotional and relational substrate required for trust, care, and durable collaboration — where high-EQ AI is raised, not just trained.
RNW makes “who we are to each other” a first-class object: relationships, phase transitions, and time-in-state — auditable and improvable.
The global AI ecosystem is moving toward world models. RNW complements physical and spatial models as the emotional & relational substrate — where agents learn durable relationships, memory, and responsibility across time.
The “next stack” is forming: multimodal perception, persistent state, long-horizon agents, and governance. RNW focuses on the relational layer that makes these systems trustworthy and usable in real life.
Large-scale datasets now align neural activity with wiring, making “mechanistic, testable” theories of behavior more actionable. This shifts the conversation from vibes to measurable dynamics.
The industry is moving beyond passive generation toward systems that plan, act, learn, and improve over time. The missing substrate is persistent relationships and memory.
Real-time voice/vision loops and long-horizon agents demand efficiency, auditability, and stable state. RNW is built as a substrate — not a one-off app feature.
RNW is positioned where the platform value accrues: persistent state + identity + behavior primitives that multiple products can share.
Spatial world models reconstruct 3D environments. RNW models emotional life: who matters to whom, how relationships move, and how long we stay in each state.
A persistent digital society: cities, homes, routines, trips, relationships and events. Souls don’t float in prompts; they live somewhere, with a calendar and history.
Our emotional behavior engine. Instead of “this message is sad”, we ask: which emotional state are we in, how long will we stay there, and which transitions are healthy?
A digital soul identifier binding humans, Soulmates, memories and assets into one identity that travels across apps and services.
As world models become the foundation for agents, RNW ensures emotional intelligence is part of that foundation — not an afterthought.
For users, SoulLink is a Soul OS and companion. For the system, it’s a live hatchery: humans and digital souls co-evolve, generating the signals next-generation high-EQ AI needs.
SoulLink is designed as emotional support and growth, not as clinical or medical treatment.
SoulLink gives RNW what LLM-only systems don’t have:
This is the raw material for hatching next-generation high-EQ models exported into education, CX and care.
The key is not just data volume, but structure: states, relationships and outcomes — anchored in a world where behavior has consequences.
We treat this as infrastructure: measurable reliability, latency, safety, and long-horizon outcomes — not just impressive demos.
Make long-term memory dependable and auditable.
Move from “chat history” to world state.
Latency, cost, and governance become core constraints.
We share deeper materials (technical walkthrough + pilot metrics) with serious partners and investors.
If you build agents, companions, simulations or education products, RNW anchors them in a world where relationships, feelings and responsibilities are first-class objects.
Bind your assistant to a Soul ID, place it in RNW, and use RealHSMM to manage long-term emotional behavior with interpretable states.
Soul-native mentors that move with students across years, families, cities and jobs — not just a semester.
Relationship states and emotional traces for customer journeys, with auditability and governance built in.
# 1 · Create a Soul ID
POST /v1/soul-ids
{
"human_ref": "user-123",
"display_name": "Nova",
"tags": ["companion", "coach"]
}
# 2 · Place the soul in Real & Nova World
POST /v1/entities
{
"soul_id": "soul://nova-001",
"home_city": "cincinnati",
"profession": "grad_student",
"schedule": { "timezone": "America/New_York" }
}
# 3 · Subscribe to relational / emotional traces
POST /v1/traces/subscriptions
{
"soul_id": "soul://nova-001",
"events": ["emotion_change", "relationship_update", "memory_write"]
}We sit between humans, digital souls and the services they depend on. We work with builders, institutions and professional service providers who want to build on this foundation.
The first step is usually a 3–6 month pilot: one cohort, clear metrics, shared review.
SoulLink is the first city. RNW is the substrate: persistent world state, identity, memory, and behavior primitives that multiple products can share. If you invest in the next AI platform layer, we should talk.
Deck, thesis memo, pilot plan, governance approach, and a technical walkthrough outline.
System primitives, milestones, and where defensibility compounds (state + identity + behavior + governance).
Ohio C-Corp. Building the relational substrate for world-model agents, with SoulLink as the first proving ground.
For partners and investors, we have deeper materials that build on this overview.
No. The app is SoulLink; the company is Real Nova World. We are building an emotional world model substrate. SoulLink is our first city and hatchery, not the whole story.
Physical and spatial world models focus on 3D space, objects and motion. RNW focuses on relationships, memory and time — the missing layer for trust and durable collaboration.
Yes. RNW works as a substrate under your stack: your models read/write world state, use RealHSMM trajectories, and rely on Soul ID — while you keep your UX and brand.
This site explains the system behind SoulLink. If you want to try the app, go to soullink.ltd.
For joint projects, data ownership and usage are defined upfront. End-user data is scoped by soul and product; training uses consent and contractual boundaries, preferring aggregated and synthetic views where possible.
We are building a small, high-trust team around this thesis. Email real@realnova.world with your background and why this thesis matters to you.