ULL
Universal Leibniz Language
The alphabet of reality
A rigorous, unambiguous notation that maps directly onto natural processes — the layer classical mathematics can only describe from the outside.
Series growth round · open
The machine oracle for
artificial general superintelligence
CendroiD AG builds hardware and software from the ground up on Centrics — a universal formal language, developed over two decades, that operates at reality's machine level. Where today's LLMs extrapolate probability, our high-order machines reason about cause.
- 20+ yrs
- Foundational R&D
- €2.74T
- AI market by 2032
- 7
- Unified theories
- Zug, CH
- Swiss incorporated
01 — The problem
Intelligence has hit a wall
because its language has.
Five compounding failures define the ceiling every current AI company is now pressed against. Select one to see it.
AI's ceiling
LLMs have exhausted humanity's database
Vectorised probability spaces strip away discrete structure. External tokenisation prevents internal syntax, so models cannot reason about their own operations — hallucination, brittle extrapolation and context loss are endemic, and static architectures cannot self-modify.
No causalityNo creativityNo self-referenceNo unification
02 — The answer
Centrics: the operating system of reality
A high-order, uncountable language that unites syntax and semantics. Programs (ULP) and machines (ULM) are defined in the same space as the alphabet (ULL). There are no independent axioms — the theory contains its own metatheory.
ULP
Universal Leibniz Programs
Programs & proofs
Programs and proofs are written in the same space as the alphabet, so computation and verification are one act rather than two.
ULM
Universal Leibniz Machine
Machine & semantics
The machine itself is defined inside the language. Dynamic completeness: no independent axioms, the theory contains its own metatheory.
Language hierarchy
Everything else in AI lives one floor below us
03 — Architecture
The Heptad: seven theories, one operator
CENTRON tags every operation with its place in the Heptad, coupling syntax directly to physical law. CendroiD hardware is modular in the same seven-fold pattern — designed for self-modification and causal reasoning. Click any node.
⊕
Operator
The Centrics operator binds the other six into a trialic, heptad-tagged calculus — the mechanism behind provable safety.
04 — Comparison lab
LLM vs HLM
Low-order language models compress humanity's text into probability. High-order language machines — ULL, ULP, ULM — compute in reality's own syntax. Pick a conventional model and compare, dimension by dimension.
Benchmark against
DimensionGPT-classCentrics / CendroiD
Syntax & semantics
Tokenised input; syntax lives outside the model
Internal machine code — syntax is semantics
Knowledge representation
Continuous vectors, no algebraic structure
Countable high-order objects, algebraically rich
Cross-domain integration
Narrow training, brittle generalisation
Unified semantics across all sciences
Self-modification
Static architecture; weights frozen after training
Dynamic rewriting — program and machine co-evolve
Context & coherence
Local context; hallucination and drift
Global semantics; self-consistent reasoning
Safety & robustness
Prompt injection, misalignment, confabulation
Operator calculus yields provable safety
Causal reasoning
Probability extrapolation, no causes
Causal numbers and operator calculus by construction
Composite capability index across seven dimensions
27vs94
05 — Market
A $2.74 trillion market, and no one else has the language
The global AI market stood at $747.91B in 2024 and is projected to reach $2.74T by 2032 at a 20.4% CAGR. Centrics and its derivatives CENTRON and CendroiD are positioned to capture a dominant share from 2030 onward.
Global AI market size
2023 — 2032 · billions USD
CAGR 20.4%
Healthcare
$6.6T+
Predictive diagnostics & drug design
Finance
$1.5T+
Causal risk, fraud and trading
Defence
$1.2T+
Autonomous decisioning by 2030
Market values are projections cited in CendroiD source materials and should be read as such.
06 — Execution
From apps to autonomous machines
We deploy CENTRON on existing devices first, move to specialised CendroiD hardware, and culminate in robots, vehicles and a global Sociomediomics platform.
Next2026
First CENTRON applications
CENTRON deployed on existing devices within 12 months of funding, expanding across platforms while the language is refined.
07 — Capital
Capital needs and the valuation trajectory
€600k raised to date. A €2.5M seed and €10M growth round fund the path to first CENTRON applications, then hardware. 30% R&D, 40% manufacturing, 20% marketing, 10% operations.
Rounds
Raised to date€600k
Seed round€2.5M
Growth round€10M
2024
€0.6M raised
Blueprint complete
2025
€2.5M / €10M
R&D finalised, talent secured
2030
€1T valuation
Global deployment target
2035
€10T valuation
Self-sufficient ecosystem
Use of funds
- Hardware manufacturing40%
- R&D & language development30%
- Marketing & acquisition20%
- Operations & compliance10%
Interactive · illustrative
Model your position
Illustrative only, based on the company's published valuation targets. Not an offer, forecast or guarantee of return.
€250k
€25k€2.5M
Implied 2030 position
€80.0M
Target multiple
320×
Freemium & advertising
- ·7-day free trial on every CENTRON app
- ·Ad-supported usage thereafter
- ·Mass adoption feeds the premium funnel
Premium & enterprise
- ·€10/month individual subscriptions
- ·Corporate and government licences
- ·Priority support and custom integration
Hardware & licensing
- ·CendroiD devices, robots and vehicles
- ·CENTRON licensed to OEM partners
- ·New revenue from IoT and mobility
08 — Applications
What a causal machine actually does
CENTRON ships first as software on devices people already own. The same semantics then scale into hardware, robotics and infrastructure.
Science & research
Autonomous research agents generate proofs and unify knowledge across physics, mathematics and computer science.
Education & learning
Personal tutors adapt to each learner, teaching any subject through intuitive causal explanation rather than recall.
Industry & robotics
CendroiD-powered machines build infrastructure, manage logistics and perform precision manufacturing.
Defence & security
Real-time threat analysis, autonomous decision support and provably secure communication.
Finance
Fraud detection and trading models grounded in causal economics rather than curve-fitting.
Healthcare
Predictive diagnostics and AI-driven pharmaceutical design, targeting dramatic R&D cost reduction.
09 — Vision
Unification of knowledge, provable safety, human impact
Centrics reconciles physics, mathematics and philosophy into a coherent machine code for science. The operator calculus guarantees provable safety, eliminating hallucination. Trillions currently lost to R&D dead-ends are redirected to vital human needs.
Competitive edge
- Machine-code semantics unifying syntax and meaning
- Dynamic completeness — program and machine co-evolve
- Heptad architecture integrating all seven theories
- Provable safety through operator calculus
- Twenty-plus years of foundational research, not a fine-tune
- Vertically integrated: our own language, software and hardware
Team & partners
- Founders in mathematics, physics and AI research — 20+ years of foundational work
- Hardware engineers, robotics experts and software architects
- Partnerships across universities, institutes, industry and government
- Swiss incorporated · Bahnhofstrasse 19, 6300 Zug
10 — Call to action
Centrics isn't another AI.
It is a paradigm shift.
We offer the first language that operates at reality's machine level. The roadmap from apps to autonomous machines is ambitious yet achievable, the market is thriving, and the monetisation is clear. Join us and shape the sentient future.