Audit Trail: the proof behind every record
Tilkal is designed so that the data behind your supply chain decisions can be traced back to its source and history.
Privacy by design
Only a cryptographic hash is notarized on-chain. The underlying data remains encrypted and stored separately.
Version history
Changes are versioned rather than silently overwritten, preserving a traceable history of the data.
Tamper-evident records
Notarized records are cryptographically linked to a private B2B blockchain network, making unauthorized changes detectable.
Controlled sharing
You decide who can access and receive each piece of data, with permissions managed by role. Data is not shared with third parties by default.
AI that works with your data,
without rewriting it
Tilkal uses targeted AI agents for specific tasks such as extracting data from unstructured documents, cleaning and structuring data, detecting anomalies and supporting risk analysis.
AI operates on top of the underlying supply chain data. It does not silently modify the source record or replace the evidence behind an assessment.
AI supports analysis, with a human in the loop. Your data remains the source of record.
What our AI does not do
It does not create supply chain data.
It does not independently verify a supplier's claims.
It does not sign your compliance statements.
Your customer data is not used to train our AI models.
See this at work in Risk Assessment
Independently assessed.
Built on recognized standards.
Tilkal achieved a CyberVadis Gold rating in its 2025 independent assessment, with a score of 914/1000, evaluated against recognized frameworks including ISO 27001, the NIST Cybersecurity Framework, PCI DSS and GDPR requirements.
Tilkal is a member of the GS1 Partner Program, supporting interoperability through recognized GS1 standards.