Naval shipyard availability planning
Develop shipyard and back shop models across four public shipyards that accurately predict repair delays and the man-hours needed to finish repairs on time, and identify the root causes of schedule slips.
Applied intelligence for the institutions that power America, and beyond.
We build AI systems that free organizations from the constraints of legacy infrastructure, so the people who make decisions have better data and more time to act on it.
Using Applied Intelligence, we partner with government agencies and corporations to modernize outdated technology and processes. We apply AI, data analytics, and automation to solve real operational problems and deliver production AI in as little as 60 to 120 days.
Ridgeline builds planning, analytics, and automation software for institutions where downtime is expensive.
CREST
Depot and fleet planners run availabilities, work packages, and parts status from disconnected spreadsheets and data sources. CREST merges live asset tracks, refit schedules, job-level work packages, and the parts supply chain into one planning surface, and forecasts completion from historical man-hours.

Intelliport
Port congestion, anchorage queues, and vessel dwell are measured today from fragmented feeds and manual estimates. Intelliport ingests AIS at national scale, classifies every position against official port and anchorage boundaries, and serves verified analytics with a built-in audit trail.

FORGE
Approvals aren’t logged and vacancies stay open for months in scattered spreadsheets and org charts. FORGE ingests your existing tracker and turns it into an accountability dataset: which roles are aging, why they are stuck, who owns the next step, which candidates have been vetted, and what feedback they received.

Our team brings hands-on experience from naval shipyards, ports and inland waterways, refineries, and round-the-clock data operations.
Develop shipyard and back shop models across four public shipyards that accurately predict repair delays and the man-hours needed to finish repairs on time, and identify the root causes of schedule slips.
Deliver analytics on vessel movement, port congestion, and inland waterway performance. The system ingests live and historical Automatic Identification System broadcasts around the clock and geo-fences the channel reaches and berths vessels move through. It turns the resulting tracks into travel times, congestion metrics, and throughput estimates that analysts and the public can query directly.
Supported planning and readiness work in which maintenance sequencing, material availability, safety, and return to service must stay tightly coordinated.
Modernized aging lock and dam infrastructure while keeping distributed assets, field teams, and round-the-clock operations coordinated.
Across multiple facilities and thousands of man-hours, we give contractors, operators, and inspectors one live view of maintenance progress, and notify decision makers of blocked jobs immediately.
Ran a 24/7/365 environmental informatics data center, covering automated data ingest, quality control, data dissemination through web products and APIs, and complex AI and machine learning forecast models.
AI intake for workers' compensation insurance claims: read the medical, imaging, and wage documents in a new claim packet, draft the statutory forms, and score the claimant's account for contradictions and timeline consistency so questionable claims surface early.
Voice and chat agents that answer plan questions and walk employees through enrollment around the clock, handing off to a live representative with full context when a case needs a person.
In these environments, team members helped replace manual planning and fragmented reporting with structured data, work order tracking, predictive alerts, and dashboards built for each role.
We operate as the orchestration layer within your existing infrastructure. Ridgeline connects to the systems, applications, and data sources you already run, so nothing needs to be ripped out and replaced.
We deliver production-ready AI in as little as 60 to 120 days.
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