Ridgeline

Applied intelligence for the institutions that power America, and beyond.

Our Mission

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Using Applied Intelligence, we partner with government agencies and corporations to modernize outdated technology and processes.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.

AI Solutions to Enhance Decision Making

  • Asset Readiness
  • Waterway Intelligence
  • Recruiting and Hiring

Ridgeline builds planning, analytics, and automation software for institutions where downtime is expensive.

CREST

Operational readiness in one picture

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.

  • Fleet planning board: every asset on one “drag to reschedule” timeline.
  • P10/P50/P90 completion forecasts trained on historical man-hours.
  • What-if courses of action scored before a schedule is saved.
  • Parts and suppliers tracked down to the individual item and vendor, with flags when a job is waiting on parts.
  • Packaged for air-gapped deployment on classified networks.
CREST fleet planning board with a drag-to-reschedule Gantt timeline, morning brief, and fleet S-curve forecast.
Illustrative demo data · View full size

Intelliport

Waterway intelligence from live AIS.

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.

  • Live national vessel map with track history and replay.
  • Congestion, queue, and dwell analytics for all major coastal and inland US ports on official NOAA and USACE boundaries.
  • Travel-time estimates across the national inland waterway network.
  • Ingest sustained over 9,000 AIS events per second.
  • Every metric carries its source and algorithm parameters.
  • Report export to PDF and DOCX, with an AI assistant grounded in the page's live data.
Intelliport ports directory comparing AIS congestion across North Atlantic ports, with a locator map and a port detail panel for Baltimore, Maryland.
View full size

FORGE

See where every hire is stuck and who owns the next step.

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.

  • AI-assisted import maps any spreadsheet or org chart, and you preview and confirm every match before anything is saved.
  • Every import is checked as it loads, so nothing gets dropped or falsified.
  • FORGE flags any position that stays open past a threshold you set.
  • FORGE sorts recruiter notes into themes, so you can see why roles stall and count each reason.
  • Aging, source-of-hire, and application-volume reporting comes built in.
FORGE dashboard with hiring pipeline metrics, vacancy aging chart, and open alerts.
Illustrative demo data · View full size

Built from operating experience.

Our team brings hands-on experience from naval shipyards, ports and inland waterways, refineries, and round-the-clock data operations.

Government

Naval shipyard availability planning

Department of the Navy

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.

Port and waterway analytics

Department of Transportation

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.

Nuclear submarine sustainment

Supported planning and readiness work in which maintenance sequencing, material availability, safety, and return to service must stay tightly coordinated.

Inland waterways

Modernized aging lock and dam infrastructure while keeping distributed assets, field teams, and round-the-clock operations coordinated.

Commercial

Oil refinery turnaround

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.

Environmental informatics operations

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.

Insurance claims intake and fraud review

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.

Healthcare benefits enrollment

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.

Move AI from pilots to production.

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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