CONNECT
Connect existing enterprise, partner, IoT and DLT environments without replacing them.
IBDCP turns fragmented data flows across enterprise systems, partners and distributed ledgers into verifiable business events — without replacing the infrastructure you already run.
Designed to reduce repeated integration and reconciliation work, strengthen auditability and enable automation on trusted data.
Evaluate IBDCP when: one critical process spans multiple systems or organisations and trust is still rebuilt manually.
IBDCPBLOCKCONTROLConnect existing enterprise, partner, IoT and DLT environments without replacing them.
Create verifiable business events before data becomes a trusted record.
Maintain provenance across systems, organisations and asset lifecycles.
Use verified data to trigger workflows, controls and AI processes.
Exchange verifiable data while retaining control of your data domain.
Most organisations do not lack systems. They pay for what happens between them: integration projects, reconciliation, duplicate verification, audit preparation and exception handling.
Every cross-system or cross-company handoff creates another trust decision: where the data came from, whether it changed, who accepted it and whether another party can verify the same evidence.
IBDCP is designed to make that trust decision once, cryptographically, and carry the evidence with the business event.
IBDCP is relevant where trust gaps create recurring cost, delay, compliance exposure or prevent high-value automation.
Replace repeated point-to-point trust logic with a common orchestration and verification layer.
Create shared, verifiable evidence as events move across systems and participants.
Maintain evidence from source through processing, acceptance and final record.
Let workflows and AI act on data with verifiable origin, history and acceptance.
Collaborate across organisations without surrendering control of source data or infrastructure.
Extend the same architecture across more processes, partners, assets and business units.
Start with the process where integration, reconciliation, provenance or cross-company trust is already costing money, slowing decisions or blocking automation.

Verify product and batch provenance across manufacturing, QA, release and logistics.
Explore Life Sciences →
Link identity, ownership, asset evidence and transactions across traditional and distributed infrastructure.
Explore Financial Services →
Create one verifiable event history across suppliers, production, sensors and logistics.
Explore Supply Chain →
Exchange trusted records across institutions without forcing a single central platform.
Explore Public Infrastructure →
Give high-value physical and digital assets a persistent, verifiable provenance record.
Explore Asset Provenance →Decision-makers do not need another abstract protocol diagram. They need evidence that the architecture can move from infrastructure into real workflows. These built cases apply IBDCP across digital assets, healthcare, AI, real-world assets, commerce and decision intelligence.

Reusable wallet, identity and digital-asset core for upper-layer IBDCP applications and transaction flows.

Healthcare implementation applying IBDCP to patient-centred digital records, identity and trusted data exchange.

AI and IBDCP-based CRM that turns contacts, deals, files and business portfolio data into daily growth actions for decision-makers.

Full operational RWAT platform connecting asset evidence, legal rights, investor eligibility, policy, issuance, transfer and lifecycle proof.

Customer-facing commerce with IBDCP-backed digital product passport capability linking product identity and traceability to normal buying flows.

Enterprise decision-intelligence tenant that connects company data and context, detects patterns and anomalies, estimates likely outcomes and recommends the next best action with evidence and confidence.
IBDCP combines connectivity with verification, custody, sovereignty and long-term security — so data can be acted on, not merely moved.

Connect centralised and decentralised environments in one governed information flow.

Keep verifiable evidence of origin, processing, acceptance and exchange with the event.

Apply the verification model that matches the participating systems, risk and business case.

Share verifiable outcomes without surrendering control of your data domain.

Design long-lived digital infrastructure for evolving cryptographic requirements.

Give AI and automation traceable context so decisions can be audited back to source.
Start with one process. Prove value against agreed criteria. Expand only when the business case, architecture and operating model are clear.

Identify where fragmented trust creates measurable cost, delay, risk or blocked automation.

Run a focused pilot against agreed business and technical success criteria.

Expand only after the value, architecture and operating model are proven.
Evaluate one concrete business process against commercial value, architecture fit and a bounded proof path. The purpose is not to start a technology programme — it is to make a defensible executive decision.
You leave with a defined business case, fit assessment, pilot scope, success criteria and the commercial route to production — or a clear reason not to proceed.