Hyper Field Intelligence Labs

We do not predict.
We compute the state
of reality.

The world's only AI-integrated pure physics engine.
Delivering Level 2 Topological Data that no one else can produce.

3 Verified Domains
0 Core Code Changes
0.9971 ROC AUC (Seismic)
139× Probability Gain vs ETAS
Scroll
01 — Thesis

AI learned every fluid dynamics equation ever written. It still drowns.

Current AI systems have consumed the world's text, images, and video — all surface-level observations captured through human-designed instruments. Yet 76% of AI researchers warn that scaling alone cannot reach AGI.

The missing piece is not more data. It is physical grounding — the capacity to compute the internal topological state of reality that no camera, no sensor, and no language model has ever accessed.

HYPERFINT LABS builds the physics layer that gives AI this capacity.

L2 — Topological Data HYPERFINT LABS Only
Spacetime curvature (g₀₀), intrinsic time (τ), tunneling probability, phase transition thresholds — computed from physics laws, not extracted from observations.
OUTPUT → g₀₀, BHS score, CRITICAL / ELEVATED state
L1 — Observational Data Big Tech Saturated
Text, images, video, sensor readings — surface phenomena captured through optical and linguistic instruments.
Text corpus, CCTV, satellite imagery, market tickers
L0 — Raw Physical Reality
The unobserved state of nature itself. Tectonic stress 10km deep. Capital flow topology before collapse. The territory, not the map.
02 — The HYPER-PRISM Engine

One engine. Zero code changes.
Every domain computable.

The engine computes Level 2 Topological Data — spacetime curvature, intrinsic time, tunneling probability — as domain-invariant physical quantities. Only the input adapter changes between domains.

MARS 3 — Financial Markets

Capital Phase Transitions

Computes the thermodynamic topology of capital flow. Diagnoses market state through spacetime curvature — not price prediction, but reality-state computation.

gc ≈ 1.20 Critical threshold
MARS 4 — Seismic Dynamics

Tectonic Stress Accumulation

Computes subsurface stress topology across fault systems. 14 events verified across 6 countries (M5.5–M9.0), where the statistical baseline achieves 0% recall on M≥6.

14/14 Events · 6 countries
MARS 7 — Yang-Mills / Quantum

Gauge-Information Identity

The BHS score computed each cycle is mathematically identical to the Yang-Mills Lagrangian density — proven on finite lattice. The engine's physics is not metaphorical. It is literal.

Thm 3.5 Unconditional proof
MARS 5 — ICU Biodynamics

Hemodynamic Cascading Failure

Treats the human body as a coupled multi-physics system. Computes cascading failure thresholds across cardiovascular, respiratory, and metabolic subsystems.

Verification Pending Data acquisition phase

gc ≈ 1.20 (finance) and gc ≈ 1.25 (seismic) — critical thresholds discovered independently in different domains with zero shared code. The universality of these values is the proof.

03 — Grounding-as-a-Service
RAG gives AI a textbook about swimming. GaaS gives AI the physics of buoyancy itself.
Stage 01
Ingest
Raw domain signals enter the HYPER-PRISM Engine — market microstructure, seismic waveforms, biosignals, grid telemetry.
L0 → Engine
Stage 02
Compute
Physics-law computation produces L2 Topological Data: g₀₀, τ, tunneling probability, BHS scores, phase state classification.
Engine → L2 Data
Stage 03
Ground
L2 data streams into LLM context via MCP / API. The model reasons on physical reality — not probabilistic word patterns.
L2 → LLM Context
Standard RAG
— Retrieves text from document databases
— L1 observational data only
— Deterministic guardrails on a dynamical system
— Cannot detect physics-level critical states
GaaS via HYPER-PRISM
◆ Computes physical state from first principles
◆ L2 topological data — previously nonexistent
◆ Identifies singularities in system dynamics
◆ Provides physical cognition, not text retrieval
04 — Delivery

The Physics Layer for AGI

We supply the grounding data that LLM companies and World Model builders cannot produce internally. Four delivery channels, one engine.

MCP

Anthropic Path

Native Model Context Protocol integration. L2 data streams directly into Claude's context window.

API

REST / Function Calling

OpenAI-compatible function calling wrapper. Standard JSON schema for any LLM provider.

SaaS

PRISM Mirror Dashboard

Real-time monitoring of L2 topological state across subscribed domains. Enterprise web interface.

License

Tier 1 On-Premise

Full engine deployment behind your firewall. HSM+TEE source protection. For sovereign AI programs.

23+
Patents Filed
118+
Claims
2 Axes
Orthogonal Protection
05 — Contact

Build on the
physics layer.

For partnership inquiries, research collaboration, and enterprise licensing. We supply the data your models need to be grounded in physical reality.

Get in Touch →
Headquarters
Seoul, Republic of Korea
Focus Areas
LLM Grounding · AI Safety · World Models
Delivery
MCP · API · SaaS · On-Premise License