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Lacima Group (Lacima Analytics, part of eex group) — Two distinct latent assets. (1) Licensable: the vendor's own curated LNG logistics reference layer embedded in the optimiser — vessel-fleet physical and commercial parameters (tank capacity, boil-off rate by vessel class, speed-consumption curves, idling limits, canal and port restrictions, charter rates), plus structured contract mechanics (volume tolerances, Incoterms, optional/nominated port sets, delivery-window and timing tolerances) and route-level voyage economics. (2) Client-generated, not vendor-owned: the optimisation decision cor…
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Two distinct latent assets. (1) Licensable: the vendor's own curated LNG logistics reference layer embedded in the optimiser — vessel-fleet physical and commercial parameters (tank capacity, boil-off rate by vessel class, speed-consumption curves, idling limits, canal and port restrictions, charter rates), plus structured contract mechanics (volume tolerances, Incoterms, optional/nominated port sets, delivery-window and timing tolerances) and route-level voyage economics. (2) Client-generated, not vendor-owned: the optimisation decision corpus — every solved lift-to-delivery-to-vessel assignment, nomination and backfill/backstop choice made against forward price curves, i.e. revealed value-maximising scheduling behaviour for real LNG portfolios.
Scale Reference layer is modestFrom 10 yearsCoverage Financials · Information Technology
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Lacima Group (Lacima Analytics, part of eex group) — Two distinct latent assets. (1) Licensable: the vendor's own curated LNG logistics reference layer embedded in the optimiser — vessel-fleet physical and commercial parameters (tank capacity, boil-off rate by vessel class, speed-consumption curves, idling limits, canal and port restrictions, charter rates), plus structured contract mechanics (volume tolerances, Incoterms, optional/nominated port sets, delivery-window and timing tolerances) and route-level voyage economics. (2) Client-generated, not vendor-owned: the optimisation decision cor…
Lacimagroup offers (Alternative, Price, Supply Chain, Reference) — Reference layer is modest — hundreds to a few thousand vessel-class and contract-parameter records, since the optimiser encodes the global LNG-capable fleet and standard contract archetypes. The decision corpus is far larger: est. millions of solved scheduling runs per year across the installed base, as portfolio optimisation and re-confirmation run continuously through each trading day..
Training and benchmarking combinatorial-optimisation and reinforcement-learning schedulers on real constraint sets; building LNG freight and voyage-economics models from speed-consumption and boil-off parameters; charter-out and tonnage-utilisation strategy; validating in-house optimisers against a commercial reference implementation; and generating synthetic-but-realistic LNG portfolio scenarios for risk-model testing. The client decision corpus would additionally support trade-strategy imitation learning — but only with client consent.
The data is with 10 years of history.
Coverage spans US, UK, APAC, Japan; Financial Exchanges & Data, Application Software; alternative, price, supply_chain, reference; commodities, derivatives, options, fixed_income.
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