Address analysis
Identify and organize observable transaction activity associated with relevant blockchain addresses.
Digital asset intelligence
Follow the movement.
Examine the connections.
A transaction is one part of a wider history. Blockchain records can help reconstruct observable asset movements and identify relationships that merit closer review.
Blockchain analysis
Turn transaction histories
into investigation paths.
Relevant address activity, transfers, and supporting records can be organized into a structured view of the available on-chain evidence.
Transaction correlation
Connect related transactions according to address relationships, timing, assets, and transaction pathways.
Pattern detection
Highlight predefined transaction patterns and anomalies requiring additional investigation.
Asset flow mapping
Visualize how supported digital assets move between addresses and transactions.
Historical analysis
Review previous and subsequent transaction activity surrounding an identified event.
Evidence verification
Maintain a traceable connection between analytical findings and the underlying blockchain transaction records.
Beyond a single transaction
The wider transaction picture.
Digital assets may pass through multiple addresses, smart contracts, decentralized applications, or bridges. Looking at the relationships between those transactions can reveal a more useful picture than reviewing each transfer in isolation.
An investigation can organize these records into a timeline, distinguish observed movements from assumptions, and identify where further information is needed.
01 / Pending activity
Mempool activity,
where available.
Some networks make pending transactions publicly observable before confirmation. Where technically available and relevant to an investigation, this information can provide additional context about addresses, destinations, and transaction sequences.
Pending activity is provisional. It must be checked against the confirmed blockchain record before it is treated as a completed transfer.
02 / Analytical support
Patterns support questions.
Evidence supports findings.
Repeated transfers, connected address activity, transaction sequences, and smart-contract interactions can help focus an investigation. Analytical tools, including AI-assisted pattern recognition where used, can highlight relationships for review.
A pattern is not proof of fraud, identity, or ownership. Relevant findings must be checked against source records and assessed by an investigator.
03 / Recovery assessment
Trace the history.
Assess the next step.
Blockchain networks generate an enormous volume of transaction data. Automated processing and AI-assisted pattern recognition help identify relationships and activity that may require further investigation.
The system can analyze:
• Transaction relationships
• Repeated transfer patterns
• Address interactions
• Transaction sequences
• Asset movement patterns
• Smart-contract interactions
• Unusual transaction activity
• Connected transaction pathways
AI assists the analytical process; relevant findings remain subject to verification and investigator review.
The standard for a finding
Evidence that can be examined.
Blockchain analysis can establish where digital assets have moved within the observable blockchain record. It cannot, by itself, reverse a confirmed blockchain transaction or guarantee that assets can be recovered.
Instead, verified transaction information may help authorized investigators, legal professionals, exchanges, compliance teams, or other relevant parties determine whether a legitimate recovery pathway or further investigative action may exist.
Every recovery assessment begins with evidence.
IDENTIFY → VERIFY → TRACE → ANALYZE → ASSESS
Evidence workflow
Build the relationship.
Check the record.
No single signal establishes that an asset is blocked or that a transaction belongs to a particular person. This illustrative process brings multiple sources together to assess whether a relationship warrants further investigation.
Data-driven
Analysis is based on observable blockchain transaction data rather than assumptions.
Automated
Large transaction datasets can be processed systematically to reduce manual investigation time.
Intelligent
AI-assisted analysis helps identify patterns and relationships within complex transaction histories.
Traceable
Relevant findings can be connected to identifiable blockchain transactions.
Verifiable
Underlying transaction records can be reviewed independently against the blockchain.
Investigator-led
Automated findings support investigation and human review rather than replace professional judgment.
How blocked assets are identified
Multiple signals.
One structured investigation.
The system does not identify a “blocked asset” from a single signal. It evaluates multiple information points to determine whether the available evidence supports a transaction relationship requiring investigation.
- 01Owner information
- 02Transfer reference
- 03Transaction / wallet data
- 04Blockchain record
- 05Mempool activity, where available
- 06Transaction graph analysis
- 07Asset movement timeline
- 08Investigation result
Investigation statusILLUSTRATIVE EXAMPLE — NOT A LIVE CASE
Owner informationReceived
Transfer informationReceived
Transaction referenceAnalyzed
Blockchain recordVerified / pending verification
Mempool activityMonitoring where available
Asset movementAnalysis in progress
InvestigationUnder review
This is an example workflow, not a live case result. The multi-stage process reduces the risk of treating an unrelated transaction as the subject of an investigation.
Important
Understanding the evidence.
A bank transfer and a blockchain transaction are technically different systems. Banking information may establish that a payment was initiated, rejected, delayed, or otherwise reported by the relevant financial institution. Blockchain analysis can establish the existence and movement of transactions recorded on a supported blockchain.
The platform correlates these information sources where appropriate; it does not claim that blockchain data independently reveals a person's bank account, identity, or legal ownership of an address. The purpose is to establish verifiable transaction relationships and determine whether the available evidence supports further action.
Let’s find your next step
A clearer picture.
A considered next move.
Share what happened and the information you have.
Begin with a structured case assessment.