We build Physical AI technologies
based on geometry of computation.
Operating System for the AI Economy

LLMs are the Interface.
Physics is the Engine.

Leading scientists agree that nature-inspired AI methods are the next frontier. But they require immense compute

Hi Holo enables this future today.

🧪
Geometric Logic Lab

How is logic born in a dynamic geometric system?

📐
The Math Behind the Engine

We show that Holo Engine is a legitimate Energy-Based Model.

Our Technology: Holo Engine

A versatile AI engine that automatically structures data and transforms it into ready-to-use capabilities: search, prediction, and logical decision-making. All of this operates within a single predictable core — replacing a fragile patchwork of microservices.

The Deterministic Layer Your AI Stack Is Missing

Holo Engine doesn't compete with LLMs — it handles what they can't: strict logic, guaranteed accuracy, and edge deployment where probabilistic models fall short.

🤖
AI Agent Co-processor

LLM agents generate fluent, contextual responses — but hallucinate on high-stakes decisions. Holo Engine acts as a deterministic reasoning layer that validates outputs, enforces logic constraints, and guarantees correctness where errors are costly.

  • Fraud detection & transaction verification in agentic pipelines
  • Contract and legal document analysis with verifiable logic
  • Embodied AI: real-time kinematic and collision validation for robotics
  • Medical triage assistance — zero tolerance for hallucinated diagnoses
Typical Agent Stack
👤  User Input
↓
🧠  LLM (GPT / Claude / Llama)
↓
⚡  Holo Engine — logic & verification layer
↓
✅  Verified, deterministic output
⚙️
Business Automation Pipeline

Replace a fragile stack of embedding models, vector databases, graph DBs, and ML classifiers with a single API call. Process documents, detect patterns, and classify data — deterministically, at high throughput, on commodity hardware.

  • RAG pipelines without vector databases or GPU infrastructure
  • Document classification and hierarchy extraction at scale
  • Anomaly detection in financial transactions and event logs
  • Sales pattern analysis and multi-variable business optimization
Before vs. After
Traditional stack
Embedding model + Vector DB + Graph DB + ML model
↓
With Holo Engine
⚡  One API call — search, classify, detect, infer
📡
Edge & Offline Deployment

A 10 MB single binary with zero runtime dependencies. Run full AI inference on microcontrollers, embedded systems, or completely air-gapped environments — no cloud, no GPU, no Python.

  • Industrial IoT: anomaly detection on edge controllers
  • Autonomous vehicles and drones with no connectivity requirement
  • Satellites and aerospace systems on radiation-hardened chips
  • Medical devices requiring certified, offline deterministic logic
Deployment Requirements
📦  ~10 MB binary
🔌  No internet connection
🖥️  Any CPU — from MCU to server
⚡  Zero runtime dependencies

Core Capabilities

The fundamental advantages of Holo Engine architecture.

Built for efficiency, flexibility, and universal deployment.

AI with ZeroGPU Overhead

Clustering, recognition, routing, decision-making without expensive memory and GPU or directly on edge devices.

1 Core forBinary & Fuzzy Logic

Induction, Abduction, Deduction. Binary and Fuzzy operations. Reasoning with strict mathematical verification.

HardwareAgnostic

Works on any processors and controllers. Using photonic, qubit or neurodynamic processors? That's for us.

How Holo Engine Compares

Against the most common AI paradigms.

Criteria LLM
Transformers		 GNN
Graph Neural Nets		 PINN
Physics-Informed		 Holo Engine
Interpretability Black-box Black-box Black-box White-box
GPU Required Yes Yes Yes No
Energy-efficient CPU
Architecture Single-task
training		 Requires
embeddings		 Physics-
specific		 Agnostic.
Adapts incrementally on the fly
Determinism Hallucinates Probabilistic Approximate 100% Mathematical
Deployment Footprint 600 MB – 100 GB+
(+ Python runtime)		 ~2–3 GB
(model + framework)		 ~2–3 GB
(model + framework)		 ~10 MB
Zero dependencies

Industry Applications

Solve your hardest domain challenges.

No GPU overhead. No hallucinations. Just deterministic performance for the systems that power your business.

AI Companies

The deterministic reasoning layer for AI services. Zero-hallucination logic and constraint solving.

Learn more →
WEB3

On-chain AI without GPU. Run smart contract logic, real-time anomaly detection, and decentralized routing directly on lightweight nodes.

Coming soon
Financial Services

Zero-latency fraud detection and credit scoring. Fully explainable, mathematically verified logic that traditional black-box neural networks cannot provide.

Coming soon
IoT & Robotics

True edge intelligence. Run spatial navigation, swarm coordination, and multi-sensor fusion directly on microcontrollers with zero cloud latency and minimal power draw.

Coming soon
Science & R&D

Accelerate materials science and molecular geometry modeling. Solve complex multivariable constraints orders of magnitude faster than classical solvers.

Coming soon
Industrial

Autonomous factory routing and instant anomaly detection from continuous sensor streams. Predict equipment failures locally on edge industrial controllers.

Coming soon

Skip the guesswork. Bring Your Own AI Agent.

Our demo API is ready. Discover how Holo Engine can solve your specific tasks. Copy the system prompt, and let your AI agent test the technology directly on your data.

Or see /schema

Questions & Answers

Key facts about Holo Engine technology.

How is Holo Engine different from neural networks?
Holo Engine is built on strict mathematical topology and geometry — not probability. This creates four fundamental differences:
  • Deterministic, zero hallucinations. The same input always produces the same output. No stochastic behavior, no guessing.
  • White box, not black box. Every decision is fully interpretable. The engine outputs exact mathematical formulas and R² coefficients — not plausible-sounding text.
  • Zero training, zero GPU. No pretraining, no embeddings, no vector databases. Runs on microcontrollers or photonic chips with minimal energy.
  • Multi-task from a single state. Raw data is converted into one topological object that simultaneously handles search, anomaly detection, classification, and logical inference — with no fine-tuning. Adapts to new data on the fly.
Is Holo Engine a form of AI from a scientific standpoint?
Yes — Holo Engine is a legitimate AI system, but represents a fundamentally different paradigm: geometric and deterministic, as opposed to the probabilistic mainstream. Its core mathematical structure — a CW-complex hypergraph — can represent any existing neural network class (GNN, PINN, EBM, Hopfield networks, hyperbolic nets).

In practical AI stacks, Holo Engine acts as a universal deterministic co-processor:
  • Robotics & Embodied AI. Real-time spatial verifier for kinematics and collision — prevents hallucinations in motion generation.
  • RAG & semantic search. Replaces embedding models and vector databases entirely. Zero-training hierarchy recovery with no GPU.
  • Symbolic Regression. Derives interpretable mathematical laws and recovers physical constants directly from raw experimental data.
Holo Engine operates at the intersection of topological machine learning, symbolic regression, and p-adic geometry — a leading example of White-box AI.
What business advantages does Holo Engine offer?
Holo Engine fundamentally changes the economics, speed, and reliability of AI infrastructure:
  • Radical cost reduction. A typical AI stack requires separate embedding models, vector databases, graph databases, and ML models. Holo Engine replaces all four with a single engine that runs on commodity hardware — no GPU, down to microcontrollers.
  • Zero hallucinations, guaranteed. Fully deterministic — results are based solely on input data. Critical for asset management, robotics, drug design, and any domain where errors are unacceptable.
  • White-box, explainable decisions. Instead of opaque neural weights, you get precise mathematical formulas and logical chains. You can always explain to regulators or clients exactly why a decision was made.
  • Zero-training, instant deployment. The engine discovers hidden hierarchy and structure in raw data on the fly — no dataset labeling, no months of fine-tuning. Works with any structured data: catalogs, org charts, event logs.
  • End-to-end automation at high speed. Complex pipelines — from document search (RAG) to classification and optimization — complete in a single API call with no analyst intervention.
Is Holo Engine compatible with LLMs, AI agents, and existing IT infrastructure?
Yes — Holo Engine is designed to integrate seamlessly into existing stacks and take over the tasks that probabilistic models cannot handle reliably.
  • LLM & agent co-processor. LLMs handle natural language communication; Holo Engine handles strict logic, math, and verification via API. In robotics, for example, the engine physically validates motion constraints in milliseconds — blocking any hallucinated coordinates before they cause damage.
  • Standard REST API. Integration is a simple HTTP call compatible with any language or framework — no SDKs required.
  • Hardware-agnostic. Runs on standard servers, microcontrollers, or photonic chips — no GPU dependency.
  • Single binary, zero runtime dependencies. Written in Rust, the engine ships as one self-contained binary. A commodity VPS is sufficient to handle high request throughput.

Contact

Get in touch with us to discuss your enterprise AI needs.

Holo Engine — Physical AI engine based on energy optimization. © 2026 Hi Holo. All rights reserved.