Charter Pulse was built to solve a specific problem: there is no independent source of verified charter occupancy and revenue data for financial professionals.
Charter management companies publish projections. Booking platforms hold the actual booking data. The people who need verified figures most — investors evaluating charter ownership, banks underwriting charter loans, and underwriters pricing charter risk — are left making decisions on trust.
We change that. By scraping charter availability calendars and cross-referencing them with Wayback Machine archives, we build a verified occupancy and revenue record per vessel — 24+ months of history, with a source URL on every data point.
The analytics platform runs 15 modules: asset performance ranked by RevPAW (Revenue per Available Week), occupancy trends, lead time analysis, forward booking pipeline, revenue stability grading (A–F per operator), seasonality heatmaps, pricing analysis, shipyard and model drill-downs, market explorer, and an investment calculator pre-filled with real market benchmarks. Every booking signal carries a confidence classification — Confirmed, Probable, or Ambiguous — disclosed in every output.
Access holders also connect a Claude-based AI agent with 31 live data tools. Ask a question in plain language — occupancy for a specific market, feasibility for a specific model, stress-tested cash flow for a lender submission — and the agent builds the analysis from verified data. Structured outputs (feasibility studies, DCF models, risk grades, Excel workbooks) can be generated at any stage of due diligence.
No affiliation with any booking platform, charter company, or management program. Our only interest is data accuracy.
Every figure in our reports carries a source URL, a confidence classification, and a methodology note. No black boxes.
15 analytics modules and a 31-tool AI agent — all built from availability calendar scraping and Wayback Machine cross-reference. Not industry averages. Not self-reported figures.