Our deep domain expertise enables us to turn fragmented and
verbose official filings into valuable structured data feeds, analytics,
and applications built for commercial use at scale.
Transforming large datasets requires big computing power and skilled personnel that drive up cloud costs and staffing needs.
Successful data transformation needs analysts and engineers who understand the business context to avoid critical mistakes and deliver meaningful results.
Our rigorous testing and QA best practices are essential to minimize errors and earn the trust required to drive business decisions.
Record systems of disparate regulatory and judicial bodies are systematically monitored, relevant filings acquired, and archived copies warehoused.
Extracted information is structured into standardized datasets with emphasis on key project details — such as costs, schedule, and permitting milestones — ensuring consistency and accuracy across diverse regulatory sources and formats.
Calculated fields and custom metrics are developed, such as cost per mile or permit approval timelines, providing deeper context and comparability across projects.
Structured data is mapped into robust analytical models, defining relationships between projects, timelines, and regulatory steps to enable comprehensive querying and benchmarking.
With high-quality, modeled data, advanced analytics are built to track project progress, forecast timelines, and benchmark costs—empowering developers and traders to make informed, strategic decisions in the energy infrastructure landscape.
Our customers have recurring use cases for quantitative insights on one or more of these topics.
Our extensive database of FERC filings and expertise on Commission proceedings enable us to create the most accurate scenario models and risk analyses for FERC actions on natural gas, liquids, and power infrastructure.
Our ability to acquire and query comment and intervention data in the context of risk analysis yields tactical insights to quantify and mitigate the likelihood of delays which cause cost and schedule overruns.
Arbo is relied upon as an unbiased source of cost and schedule benchmarking for project feasibility decisions and durable permitting strategies at the leading midstream enterprises.
We source and triangulate unique datasets to enrich ISD models for intrastate and LNG projects which otherwise frustrate traders due to an opaque regulatory landscape.
Arbo agile engineering teams have completed custom rate and EBB data integrations into cloud-based systems for midstreamers and “super major” integrated operating companies.
Arbo project data sharpens models for market-leading physical commodity trading firms, providing an edge for exploiting when regulatory, litigation, policy, and projects will impact supply and demand and move markets.
Industry stakeholders in Mountain Valley Pipeline utilized Arbo probabilistic forecasts to predict litigation outcomes and timing and overall likelihood of going into service.
We warehouse all rate filings and possess the capability to map routes with transportation costs and contracted capacities as well as query filings by keyword for compliance and competitive intel.
Reach out to discuss your needs and review our data
dictionary.