AI Backed by Proof
OriginStamp makes every AI output irrefutably provable—with blockchain timestamping for AI output integrity, compliance, and unshakeable trust.
Why AI Demands Integrity
Companies are betting the farm on generative AI, machine learning models, and automated analytics. But without proof of integrity, outputs can be altered, taken out of context, or manipulated—both internally and externally. AI Output Integrity demands a tamper-proof timestamp that proves: This AI output was generated exactly like this, at this precise moment. No excuses.
The Biggest AI Risks
Where integrity is missing, AI loses all credibility—with management, customers, auditors, and regulators.
No Proof of Creation Time
Without tamper-proof timestamps, it's a guessing game when an AI output was created—and whether it corresponds to a valid dataset, policy, or version.
EU AI Act & Regulations
The EU AI Act demands documented, traceable AI systems. Without an integrity layer, compliance becomes a never-ending nightmare.
Manipulation & Insider Threats
Outputs, logs, or reports can be altered by internal or external actors—leaving no trace if a trust layer doesn't exist.
Data Poisoning & Model Drift
Altered training data or pipelines go undetected without clear versioning and tamper-proof documentation.
How It Works
OriginStamp bolts a tamper-proof evidence layer onto your AI systems. Every model decision, every data element, and every output is automatically timestamped—immutably secured on the blockchain and independently verifiable at any time.
The Tech Behind It
Output is Captured
Texts, scores, images, or reports are automatically extracted and prepped for proof before being passed on.
Hash Forms the Proof
The content is hashed. This keeps it private, but the proof of its authenticity becomes mathematically absolute.
Blockchain Locks in the Moment
The hash is anchored to the blockchain. Immutable, globally verifiable, and chronologically definitive.
Audit-Ready Reconstruction
During audits, the original output can be matched against the hash at any time—chronologically, transparently, and with court-admissible certainty.
Use Cases for AI Integrity
Whether it's an LLM, a scoring model, or a data product: OriginStamp anchors integrity where AI creates value today—and where you'll have to deliver answers tomorrow.
Generative AI & LLMs
Generative AI & LLMs
Texts, analyses, images, code, or reports become audit-ready. You can prove later which prompt generated which specific output.
Generative AI & LLMs
Texts, analyses, images, code, or reports become audit-ready. You can prove later which prompt generated which specific output.
Model Decisions & Pipelines
Model Decisions & Pipelines
Every model decision—from risk scores to pricing—is documented with a timestamp. Perfect for highly regulated industries.
Model Decisions & Pipelines
Every model decision—from risk scores to pricing—is documented with a timestamp. Perfect for highly regulated industries.
Training Data & Evaluations
Training Data & Evaluations
Leverage timestamping for data governance: What data, which version, what label set went into the training?
Training Data & Evaluations
Leverage timestamping for data governance: What data, which version, what label set went into the training?
Advantages for Your Business
Making AI results provable means faster approvals, fewer arguments with auditors, and greater business adoption. Integrity isn't a nice-to-have; it's the lever to make AI productive across the board.
Transparent AI Systems
Stakeholders understand how decisions are made—without you having to expose your proprietary models.
Tamper-Proof Data Governance
The integrity of data, models, and outputs becomes verifiable, even years down the line.
Independent Validation
Blockchain timestamps are independently verifiable and not controlled by any single vendor.
Trust Across All Stakeholders
From the boardroom to the regulator: You deliver hard evidence, not empty promises.
Proof That Matters
IPBee is committed to the brand security of our clients, whether on marketplaces, domains, or social networks. Through our partnership with OriginStamp, we establish global, secure proof of all copyrights.
Jan F. TimmeCEO, IPBee
Why AI Outputs Must Be Provable
Companies are deploying LLMs and ML models in production—but without AI Output Integrity, they lack proof of the timing, context, and quality of the results.
Make Your AI Provable
In 15 minutes, we'll show you how to implement AI Output Integrity with blockchain timestamping—from generative AI to critical model decisions.
