Proof-of-Execution provides cryptographic proof that real-world actions actually happened — for AI systems, enterprises, and supply chains. Built on eight years of enterprise blockchain infrastructure. As AI systems act autonomously and regulation tightens, proving execution becomes a requirement — not an option.
News, product updates, and insights from the team.
Aug 28, 2026
August 2026 — The seventh installment of Unibright’s monthly AMA series returned after the summer break with a focus on concrete adoption: what’s moving from pi…
Read on Medium →Jun 29, 2026
June 2026 — The sixth installment of Unibright’s monthly AMA series introduced a clearer framing: Proof Matter as a trusted verification layer for digital execu…
Read on Medium →May 31, 2026
May 2026 — The fifth installment of Unibright’s monthly AMA series marked a milestone: the new website is live under https://unibright.io . This session used th…
Read on Medium →Apr 30, 2026
April 2026 — This AMA marked a turning point: proof of execution is no longer theoretical, but is now being applied to real-world regulatory challenges — partic…
Read on Medium →Mar 30, 2026
March 2026 — The third installment of Unibright’s monthly AMA series moved from strategic framing into execution territory. With introductions and positioning c…
Read on Medium →Mar 2, 2026
February 2026 — The second installment of Unibright’s monthly Ask Me Anything series shifted focus from introductions to execution. While the January session es…
Read on Medium →Eight years of building enterprise blockchain infrastructure — from visual smart contract tooling to the Baseline Protocol, from Baseledger consensus to enterprise process synchronization. Every product taught us what enterprises actually need. All of it converges in one protocol: Proof-of-Execution.
The original Unibright product — a visual smart contract builder and blockchain integration toolkit for enterprises. No-code workflow automation connecting legacy business systems to blockchain networks. In production since 2018.
A purpose-built enterprise blockchain network for synchronizing business processes across organizational boundaries. Mainnet live since March 2022. UBT as native staking and governance token.
Visit Baseledger →Enterprise process synchronization platform — connecting ERP systems, supply chain networks, and blockchain infrastructure. No-code/low-code integration with SAP, Microsoft Dynamics, and other enterprise systems.
Visit Unibright.ONE →Asset tokenization platform — real-world asset representation on-chain. Enterprise tokenization infrastructure for securities, real estate, and alternative assets. First production deployment of UBT as utility payment mechanism.
Regulators, rightsholders and auditors are asking three questions about AI: What did the agent actually do? What went into the model? Where did this output come from? Enterprises face the same question about emissions, products and supply chains: did it really happen? Proof-of-Execution answers with cryptographic, machine-readable evidence — not with logs or PDFs.
Evaluation shows how an agent is likely to behave. Verification proves what it actually did. The ProofMatter gateway records every tool call at the boundary between agent and tool — signed, sequenced and hash-chained, outside the agent's reach. Where accountability arises — approvals, delegations, decisions with external effect — counterparties and humans co-sign explicit attestations. Works with any MCP-capable agent: Claude, GPT, Gemini. Agents and operators stake UBT to build an on-chain trust score; misconduct is slashed.
MCP · Gateway with v1.0Rightsholders have no routine way to establish whether their work was used to train a model. ProofMatter turns ingest, rights-reservation checks and license lookups into verifiable records — so collecting societies and institutions can check usage reports instead of trusting them. Every record is paid in UBT-backed Proof Credits.
AI Act Art. 53 · § 44b UrhG · Testnet (v0)AI-generated content has to stay recognizable. ProofMatter anchors C2PA content credentials on-chain and adds AI workflow provenance — which model, which parameters, which sources produced an output. Instead of a single central trust list, issuers are registered in a decentralized Trust Registry secured by UBT staking.
C2PA · AI Act Art. 50EU regulations (CSRD, CBAM) mandate machine-readable proof — PDF reports cannot satisfy them. Companies claim emissions reductions; Proof-of-Execution proves them, from green steel provenance to scope-3 disclosures.
EU regulation mandates Digital Product Passports for batteries, textiles, and electronics from 2027. Proof-of-Execution provides the tamper-proof, machine-readable verification layer linking every product to its full execution history.
"Sustainably sourced", "conflict-free", "fair trade" — proves the claim actually happened, not just that it was made. From fashion to semiconductors, every step in the chain becomes a verifiable proof.
Selective disclosure. Prove any single field of a business document without revealing the rest. Only the root hash goes on-chain.
Progressive trust. Every proof grows from self-signed (TL1) to multi-validator (TL4) and extended multi-party verification. Trust that builds over time, not a binary yes/no.
Verified graph. Multi-party approvals build a network of validated execution across counterparties — proofs as nodes, attestations as edges.
Protocol fees will be taken in UBT on every proof. Every agent action record, every proof-of-use record, every federated learning round, every content anchor, every ESG proof — 20% of the fee will be burned, 30% will go to validators, 20% to the treasury, 30% to credit backing. UBT has a fixed supply of 150 million, circulating since 2018.
Note: The protocol mechanics, fee parameters, and economic model described above reflect the planned design of ProofMatter, currently in development with public testnet planned for Q4 2026. All figures are indicative and subject to change.
The EU AI Act, copyright law and the EU's product and sustainability rules share one requirement: machine-readable evidence that someone other than its author can check. It is the same requirement in different clothes.
| Requirement | What it takes | ProofMatter |
|---|---|---|
| Logging for high-risk AIEU AI Act, Art. 12 & 26 | Records of what an AI system did, kept by the deployer, that cannot be quietly rewritten | Agent Flight Recorder: signed, hash-chained action records anchored on-chain |
| Training content & copyright policyEU AI Act, Art. 53 | Evidence of which works went into a model and that rights reservations were honored | Proof of Use: verifiable ingest, reservation-check and license records |
| Text and data mining reservation§ 44b UrhG · Art. 4 DSM Directive | A check, per work, that a machine-readable reservation was respected | Signed reservation-check attestations that rightsholders can inspect |
| Recognizable AI contentEU AI Act, Art. 50 | Provenance that travels with the output | C2PA content credentials anchored on-chain, with AI workflow provenance |
| Product & sustainability dataDigital Product Passport · CSRD · CBAM | Machine-readable, tamper-evident data that can be disclosed field by field | SyncTree proofs with selective disclosure and multi-party attestation |
ProofMatter provides technical evidence infrastructure. Using it does not by itself make any party compliant with the rules listed above, and nothing on this page is legal advice.
A proof can only attest to what a process recorded. If a model loses the link between what went in and what came out, there is nothing left to attest. A training-data summary lists the inputs; it says nothing about what an output contains.
White-box AI keeps that link: every training element keeps its origin, its license status and its rights chain, and a generated result can be attributed back to its sources by share. ProofMatter closes the chain at the end — each step becomes a signed attestation that anyone can verify, while the content itself stays with its owner.
The creative industries are where generative AI moves revenue today, and where licensing, settlement and liability cannot wait for regulation. Together with Audiogroup — whose companies include Tunesat, Boom Library and Dynamedion — Proof-of-Execution is being rolled out for music-rights evidence and licensed sound, from detection to court-ready proof.
If you run collections, catalogs or models and want to see how proof of use works in practice, get in touch.
The utility token powering all Unibright products. Not a new token launch — UBT has been circulating since 2018 with a fixed supply and established utility. The upcoming ProofMatter protocol will add a protocol-defined burn mechanism, with a portion of every proof fee permanently removed from circulation.
Protocol activity: Adoption → Proofs → Protocol-defined token flows (burn / validator allocation / treasury / credit backing).
From the first enterprise blockchain projects in 2018 to co-founding the Baseline Protocol and launching Baseledger mainnet — and what comes next.
From the creative industries and global technology leaders to standards bodies and industry consortia, Unibright builds alongside the organizations shaping verifiable business processes.
Unibright is run by its founders and led by a team of blockchain engineers, enterprise architects, and consultants — built up over eight years of production deployments across European enterprises. These are the people who founded it.
Co-Founder, Unibright & Managing Director, SPO Consulting GmbH
Co-founded Unibright in 2018. Entrepreneur and blockchain architect with deep expertise in enterprise technology integration. Leading SPO Consulting GmbH and the Unibright brand, with a focus on building production-grade blockchain infrastructure for European enterprises.
Managing Director, SPO Consulting GmbH
Business strategist and technology leader specializing in blockchain adoption for enterprise clients. Co-leads SPO Consulting GmbH, driving client relationships and strategic product direction across the Unibright product portfolio.
Co-Founder, Unibright & Lead Developer
One of the original architects of Unibright since its founding in 2018. Led the technical development of Baseledger and co-authored the Baseline Protocol specification. Deep expertise in Solidity, enterprise systems integration, and protocol design.
The Unibright team co-founded the Baseline Protocol in 2020 alongside Ernst & Young, Microsoft, and ConsenSys — an open standard now maintained by the Enterprise Ethereum Alliance. Behind the leadership stands a team of blockchain developers, enterprise architects, and compliance specialists with active client engagements across the EU.
Whether you're exploring blockchain integration, AI verification, Proof-of-Execution, or looking to discuss the UBT token — we're available to talk.
We work primarily with enterprises in the DACH region and across the EU, with a focus on supply chain, compliance, AI accountability, and process digitization.