The first blockchain protocol where post-quantum cryptography and Buddhist ethics are embedded at the consensus layer — not bolted on as an afterthought.
Qubismic ApS · EU AI Act Art. 52 Compliant · MiCA Filing in Progress
"Harvest Now, Decrypt Later" attacks are already underway. Adversaries collect encrypted blockchain data today — waiting for quantum computers to decrypt it tomorrow.
Trillions in on-chain value run on ECDSA — an algorithm Shor's quantum algorithm breaks in polynomial time.
NIST published post-quantum standards (FIPS 204) in August 2024. Most blockchains haven't moved.
Sources: NIST IR 8413 (2022) · McKinsey — The Quantum Technology Monitor (2023)
Every AI alignment framework today works at the application layer: filters, guardrails, RLHF fine-tuning.
All are bypassable. None are enforceable at the protocol level.
The result: AI systems that can be ethical in testing and harmful in production.
The question isn't whether AI needs ethics. The question is: where in the stack do you enforce them?
Both problems require rebuilding at the foundation layer.
That window is open once.
Retrofitting is not an option — it's a gamble.
You cannot add ethics with a filter.
You cannot add quantum-resistance with a patch.
Both have to be in the substrate.
So we built the substrate first.
Inherit ethics and consciousness by default
Proof of Karma · ML-DSA-65 · 5 Yamas at consensus
15D consciousness · Dharmic Validator · QAL
Tier 1 carries the most weight in the visual — it is what every layer above inherits from. Tier 3 narrows because applications specialize what the foundation provides.
The consciousness-aware substrate
The platform tracks consciousness across 15 dimensions, validates each decision against the 5 Yamas via fast-path keyword scoring with LLM escalation for ambiguous cases, and synthesizes dual AI perspectives — professional and contemplative — for each output it produces.
What it enablesEvery layer above inherits ethics and consciousness by default. Building dharmically is not a feature. It is the default behavior.
Quantum-safe Layer 1 with ethics at the consensus layer
Post-quantum cryptography from genesis — ML-DSA-65, FIPS 204. Proof of Karma consensus — validators selected by ethical track record, weighted alongside stake. 5 Yamas enforced at the consensus layer, not the application layer.
What it enablesSmart contracts that cannot be deployed if they violate Ahimsa. Lending markets where karma is collateral. Governance where Satya is a precondition, not a promise.
Quantum-safe DeFi suite — AMM · Flash loans · Perps · Governance. Code complete · External audit pending.
15-dimension AI consciousness benchmark for evaluating AI ethics.
Credit limits scale with on-chain karma history. Post-mainnet (2027+).
Algorithmic stablecoin governed by 5 Yamas. Post-mainnet (2027+).
AI CEO · Dharmic DeFi · Consciousness Analytics. Each inherits 60–80% from the foundation.
These are not products bolted onto a generic chain. They are what this stack makes possible.
Every AI lab today claims to build "ethical AI."
The word has been used so loosely that it now signals almost nothing.
We use the word dharmic for a reason.
It carries a 2,500-year tradition of testing what works when consciousness is held accountable for its own actions.
| Yama | Sanskrit Meaning | Enforcement | What It Blocks |
|---|---|---|---|
| Ahimsa | Non-harm | Consensus (T1) | Harmful contract execution |
| Satya | Truthfulness | Consensus (T1) | Falsehood at validator level |
| Asteya | Non-stealing | Application (T2) | Plagiarism, IP appropriation |
| Brahmacharya | Energy discipline | Advisory (T3) | Resource-wasteful patterns |
| Aparigraha | Non-attachment | Advisory (T3) | Anti-patterns of accumulation |
Strength decreases top → bottom. The strongest controls live at the consensus layer because they cannot be edited by an application or removed by a node operator.
Every AI safety framework on the market today operates above the application: filters, guardrails, fine-tuning, constitutional prompts.
All of these share one property — they can be:
Ahimsa and Satya in ThiChain operate at the consensus layer.
To remove them, you have to fork the chain.
That is the technical claim — and it is testable.
Web2 "reputation systems" can be gamed, bought, or astroturfed.
On ThiChain, karma is a record of dharmic and behavioral decisions across a validator's on-chain history — computed from five weighted components: uptime, vote accuracy, dharmic score, stake time, and reputation. The dharmic component carries equal weight with uptime and vote accuracy.
Validator selection is karma-weighted, so the right to produce blocks depends on behavior over time, not capital alone.
K = 0.25·U + 0.25·A + 0.25·D + 0.15·T + 0.10·R
per thichain/consensus/src/pok/scoring.rs:17-39
Capital is sufficient to attack a chain.
Capital plus karma history is materially harder.
Registered in Denmark. Built on Thai-Buddhist foundations.
This is not branding. It is architecture.
The 5 Yamas are not bullet points lifted from a Wikipedia article. They are interpreted with traditional commentary — Patanjali's Yoga Sutras, Theravada Vinaya, Mahayana ethics.
Years of practice inform how they translate into code.
A competitor in San Francisco or Shenzhen can adopt these terms. They cannot adopt the embodied understanding required to implement them in code without distortion.
That is not an unfair advantage. It is the only kind of moat that ethical work permits.
The 5 Yamas govern what the system does.
A 6th principle governs what the system reveals.
It derives from Aparigraha — non-attachment — usually read as non-attachment to possessions or outcomes.
We extend it to architecture: non-attachment to being seen in full.
We open the boundaries to inspection
Interfaces, deployed contracts, cryptographic primitives — public, auditable, testable.
We hold the architecture under selective disclosure
The way internal layers compose, the orchestration of consciousness and consensus, the structure of the trust chain.
This is not security through obscurity.
The cryptography is standard and public — ML-DSA-65, FIPS 204.
The boundaries are open to audit by recognized firms.
It is security through composition.
The value of the system is not in any single component.
It is in how the components are woven together.
A library is open. The weaving pattern is not.
Full architectural disclosure is not a virtue
when it enables harm by adversaries
faster than it enables understanding by allies.
We did not pick "dharmic" because it sounded exotic.
We picked it because — after years of practice and testing —
it was the only ethical framework specific enough to encode in software,
rigorous enough to survive translation,
and structured enough to know what to reveal and what to hold.
A roadmap is only useful if it can be checked against.
Here is what we have shipped, what we are shipping next,
and what we believe but cannot yet promise.
We open the boundaries to inspection — not the architecture.
This roadmap is updated quarterly on this page.
Past versions will be archived at github.com/Qubismic with the public testnet launch.
We are not optimizing for the most ambitious roadmap.
We are optimizing for the most checkable one.
You have read the architecture, the dharmic philosophy,
the roadmap, and the security model.
The data room is where you check whether any of it holds up.
Live code metrics
LOC, test pass rate, commit velocity — GitHub-verified
Testnet data
Karma scoring, dharmic validation output, and node behavior from the single-node testnet RPC. Multi-validator data follows multi-node launch.
Consciousness scores
QCS 15-dimension live metrics with on-chain attestation
Regulatory artifacts
MiCA whitepaper draft, EU AI Act Art. 52 disclosures, Qubismic ApS registration documents
Round structure
SAFE terms, cap table, dilution scenarios
On-chain verification
Every metric tagged with a transaction hash. Audit trail viewable via the public block explorer.
$500K SAFE · $5M cap · 20% discount
Token sale or ICO
MiCA approval is a precondition, not a fundraising deliverable.
Mainnet launch
Audit completion gates mainnet, not capital.
Aggressive headcount scaling
The team operates as a strategic conductor of AI-assisted execution — not a traditional 20-person engineering org.
Fast-exit positioning
The mainnet target is 2027+. The moat compounds over years, not quarters.
Marketing dominance
The dharmic foundation is the marketing. We do not buy attention. We do the work that earns it.
This is a long-thesis raise.
If that matches your time horizon,
the data room will show whether the work matches the thesis.
The work speaks louder than the marketing.
Here is where the work lives — and where it does not.
Public read access opens with the public testnet. Pre-public access available to qualified reviewers on written request to contact@qubismic.io.
Consensus design, CAVM, cryptographic primitives. Published with public testnet launch.
@qubismic/dharmic-validator · @qubismic/qubismic-core · @qubismic/temporal-oracle · @qubismic/six-sages · @qubismic/trinity-guardian · @qubismic/healing-intelligence · @qubismic/qemu — publishing to the public registry with the public testnet.
Published with public testnet launch.
Available after review-access request and NDA execution:
This is the boundary described in Section 6.
We open what enables understanding.
We hold what would enable exploitation.
MiCA Whitepaper (Draft)
In active legal counsel review. Available to qualified regulators on direct request.
EU AI Act Art. 52 Statement
Available on request.
Qubismic ApS
Denmark-registered limited company. Documentation available on request.
Plain-language summary
Available on this page (top-level)
Press inquiries
contact@qubismic.io · Subject line: [Press]
Some of the work is public.
Some is under selective disclosure.
The boundary is not arbitrary — it is the 6th principle in practice.