OML24 Syndicate of Lenders

Case Study

OML24 Syndicate of Lenders

See how MudoZangl delivered independent technical assurance via an automated system across the entire hydrocarbon value chain to safeguard a nine-figure investment.

From unrealized plans to real-time assurance on a nine-figure investment

The OML24 syndicate, representing multiple financial institutions, financed a major upstream asset acquisition.

Without in-house technical expertise, they lacked the visibility needed to evaluate the operator’s performance or validate repayment capacity.

To de-risk the investment, they turned to MudoZangl for trusted oversight.

The challenge

Capital at risk, no technical visibility

The syndicate couldn’t independently verify the operator’s drilling or production plans. Fragmented spreadsheets and inconsistent updates left them exposed to blind spots, ambiguity, and unquantified risk, on a nine-figure scale. They needed real-time insight, technical validation, and a clear data baseline to protect their capital.

Our impact

What we made possible

A clear line of sight, and a major risk mitigated.

Real-time investment visibility

Daily, QA/QC-verified reporting

Mitigated nine-figure exposure

Mitigated investment risk with a single system spanning across the entire value chain

Disconnected spreadsheets were replaced with a validated, audit-ready platform, eliminating ambiguity and restoring trust.

Enabled real-time performance tracking

Lenders gained direct insight into daily production performance, helping them spot issues early and protect asset value.

Automated, reliable assurance

Manual reports were replaced by daily, auto-generated updates with built-in QA/QC, creating accountability, giving the syndicate consistent data for internal reporting and compliance.

Supported confident financial oversight

With clear, independent data on performance and operations, lenders could accurately assess the operator’s ability to meet debt obligations.

Our approach

Independent assurance, delivered daily

Acting as a trusted intermediary, we applied our Hybrid Intelligence™ model to fill the technical gap.

After discovery sessions with both the syndicate and the operator, we configured our noobyia platform to ingest operational data, apply QA/QC validation, run hydrocarbon accounting to track targets and generate daily, auditable reports, giving the lenders the oversight they needed without adding internal complexity.

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Case Study