Crocelis publishes selected examples of completed analytical work where doing so does not compromise a client, subject, source, or active matter.
These summaries describe real work performed against real records. Identifying information has been removed. Findings are described according to the evidentiary standard reached in the underlying matter, including where material questions remained unresolved.
Crocelis conducted a detailed examination of a digital asset project using public blockchain records, corporate filings, archived project materials, technical records, preserved communications, and direct transaction data.
The work reconstructed token allocation, vesting activity, treasury movement, reward activity, liquidity control, wallet relationships, transaction chronology, and administrative authority. Published representations were tested against the underlying on chain record rather than accepted at face value.
The analysis identified documented differences between published descriptions and actual deployment chronology, verified retained administrative authority, mapped distinct wallet populations, reconstructed repeated transaction sequences, and preserved the evidentiary path supporting each material finding. Verified facts remained separate from recorded statements, analytical inference, and unresolved identity questions.
The completed work was organized into a counsel ready factual package containing source provenance, transaction identifiers, chronology, evidentiary classifications, preserved recordings, hashes, limitations, and priorities for records that could require legal process to obtain.
Blockchain tracing, corporate record research, transaction reconstruction, relationship analysis, evidence preservation, source comparison, analytical classification, and counsel ready reporting.
Identifying information has been removed because the matter is under confidential legal review.
Crocelis performed an operational and financial examination of a distressed multifamily property using rent roll data, occupancy reports, delinquency records, maintenance information, operating records, and management supplied source material.
The work began by testing whether the operating story presented by the available records was internally consistent. Early assumptions about occupancy, vacancy, delinquency, unit condition, and potential revenue were compared against later authoritative property reports rather than carried forward when better evidence became available.
Verified rent roll data established the actual unit population, occupancy status, potential rent, and the distinction between occupied, vacant, leased, and administratively unavailable units. Later delinquency analysis replaced an earlier preliminary account count and showed a materially different receivable population and concentration of balances.
The examination also connected maintenance backlog, offline units, physical condition, vendor controls, collections exposure, occupancy constraints, and cash requirements into one operating picture. Rather than treating each problem as an isolated metric, the analysis tested how one condition affected another and which missing records prevented stronger conclusions.
A stabilization feasibility model was then used to test whether favorable operating improvements alone could resolve the apparent financial gap. Under the modeled case, site level operational recovery did not fully offset the debt signal if that obligation proved to be recurring. The analysis therefore separated several possible explanations for further verification and did not present the unresolved debt signal as established fact.
The result was a structured recovery and decision framework that moved from raw property reports to verified conditions, open questions, recommended source requests, operating priorities, and management decisions supported by evidence.
Rent roll reconciliation, occupancy analysis, delinquency analysis, maintenance and operational risk review, vendor control analysis, financial stress testing, recovery modeling, evidence classification, and management reporting.
Property name, location, ownership, management company, residents, vendors, and identifying operating details have been withheld.