One Deterministic AI Runtime

Design, Execute
& Verify
for Robotics Workflows.

Programmable by AI agents,
deterministic by design, auditable by default.

Holo Engine stack: workflows, logic, holographic core, production floor
THE CORE

Holo Engine.

One runtime for the full decision cycle — from raw signal to verified action. Data, logic and proof live in one shared state, so every decision can be replayed and audited.

Explore Holo Engine ↗
LIVE SYSTEM MAP
Engine online
Operational data
Live signals
Business rules
Verified action ready18 / 18 constraints satisfied · proof attached
38 ms
THE LOGIC

Holo Language.

One language for the whole cycle. Critical workflows break at the handoffs — every stage runs in a separate system with its own state, and every handoff loses context. Holo Language composes the full decision cycle in one program: defined once, executed on Holo Engine, verified end to end.

Learn more ↗
TRADITIONAL ARCHITECTURE
100s of vendors

Every stage runs in a different system.

Sense
Understand
Decide
Act
Verify
Adapt
6 separate states5 handoffsintegration overhead
DEFINE IN HOLO LANGUAGE. EXECUTE ON HOLO ENGINE.
›running
THE ENVIRONMENT

Holo Space.

One environment for the whole picture. Design workflows on a visual canvas, build them together with an AI assistant, and run them on the same deterministic core — every stage visible, every decision verifiable, right where it happens.

HoloSpace: visual workflow canvas with AI assistant, pipeline sections and execution controls
WHY IT MATTERS

Infrastructure advantage,
not another model.

Holo reduces the operational complexity around AI decisions: fewer moving parts, lower compute overhead, and outputs your systems can verify.

One engine,
fewer dependencies

Replace fragmented search, rules, optimization, and verification layers.

Verifiable
decisions

Deterministic outputs with exact constraints and audit-ready results.

Deploy where
your data lives

Run through the cloud API, on-premises, or close to edge infrastructure.

Lower infrastructure
overhead

Compact CPU-first execution without mandatory GPU clusters.

Programmable
end-to-end

Compose complete decision workflows using Holo Language.

BENCHMARKS

Open results.
Real comparisons.

Tested against scikit-learn, PySCF, BM25, TF-IDF, SymPy, PyMatching, SQLite, and ClickHouse. Every boundary is part of the product story.

Explore all benchmarks ↗
90%Recall@3Embedding-free retrieval
0.96Final accuracyAfter streaming drift
33×Median speedupSTO-3G vs PySCF
13–39×Exact solvevs SymPy on CS1 tests

Results are workload-specific. Full methodology, baselines, limitations, and negative results are documented in the API reference.

ONE ENGINE, THREE OPERATING MODES

Use it with AI agents.
Or run it independently.

Holo can verify an LLM agent, operate as an enterprise decision engine, or run close to physical systems where cloud dependence is not an option.

02
HOLO AS THE ENGINE

Enterprise operations

Run complete decision workflows for allocation, routing, compliance, forecasting, and operational control.

on-premoptimizationaudit trail
03
HOLO AT THE EDGE

Physical & edge systems

Process signals and make deterministic local decisions near devices, sensors, robots, and industrial systems.

CPU-firstlow latencyautonomous
WHY IT IS DIFFERENT

A different computational architecture.

Holo is not a collection of models connected through orchestration. Search, reasoning, optimization, memory, and verification operate on one native geometric structure.

Traditional AI stack
Models
probabilistic inference
Databases
separate memory
Solvers
export / import
Rules
separate logic
Orchestration
integration code
Holo Engine
One geometric state
Search, reasoning, optimization, memory, and verification — all native to a single hyperbolic structure. No export, no import, no glue code.
Where Holo runs

Built for systems that must decide correctly.

From financial infrastructure and AI agents to robots, industrial systems, and scientific computing.

AI Agents

Coordinate autonomous agents with verifiable, constraint-safe decisions.

Fintech & Risk

Make high-stakes financial decisions explainable, constrained, and auditable.

Industrial Systems

Optimize, simulate, and verify complex physical and operational processes.

Blockchain & Cryptography

Execute cryptographic and transaction logic with verifiable correctness.

Robotics & Autonomy

Run perception-to-action logic in one deterministic edge runtime.

Science & Engineering

Discover structured laws, model dynamic systems, and verify predictions.

CHOOSE HOW YOU DEPLOY

Start with the API.
Move anywhere.

Begin in the cloud, then move on-premises or closer to devices when security, latency, or operational requirements demand it.

01↗

REST API

Start in minutes. Integrate from any language or existing AI stack.

FASTEST WAY TO START
02↗

MCP Server

Give AI agents direct access to deterministic Holo capabilities.

NATIVE AGENT ACCESS
03↗

On-premises

Deploy inside private infrastructure for regulated and sensitive workflows.

DATA STAYS WITH YOU
04↗

Edge & embedded

Run compact workloads closer to devices, sensors, and physical systems.

LOW-LATENCY EXECUTION
Autonomous operations
Decision intelligence
Continuous adaptation
WHERE THIS LEADS

Start with decisions. Expand into autonomy.

A focused entry point today, followed by a credible path toward the deterministic runtime for AI systems acting in the physical world.

Today · Wedge

Enterprise decisions

High-value workflows where fragmentation, latency, constraints, and auditability create immediate pain.

Next · Expansion

Autonomous operations

Continuous systems that sense, decide, act, verify, and adapt with less manual orchestration.

Long term · Platform

Physical AI runtime

Compact deterministic infrastructure close to robots, devices, sensors, and industrial systems.

ONE DETERMINISTIC AI RUNTIME

Make the full decision
cycle deterministic.

Send us your task — we’ll get back to you to discuss it and propose a solution.

EXPLORE FURTHER

Go deeper.