Galorath

AI and ML

SEERai — Estimation-Centric Agentic AI

SEERai is a purpose-built AI for cost, schedule, and risk estimation. It uses natural language to build WBS and BOM artifacts, converts messy documents and narratives into structured estimation outputs, and supports agent-driven workflows with traceability, defensibility, and audit records. Compatible with air-gapped and private cloud environments.

Advisory and strategy

Project Cost Estimation

Baseline cost early and re-forecast quickly if assumptions change. Ground models in consistent, up-to-date assumptions and validated historical data.

Advisory and strategy

Should-Cost Analysis

Build defensible should-cost positions and supplier scenarios before negotiations, with traceable assumptions and reviewable outputs.

Advisory and strategy

Price-to-Win (PtW)

Set bid strategy using a defensible cost position and scenario trade-offs to support RFP/RFQ responses.

Advisory and strategy

Risk Assessment & Analysis

Quantify uncertainty into ranges and drivers that leadership can review and act on. Monte Carlo simulation and parametric modeling surface hidden risks.

Advisory and strategy

Scheduling & Labor Estimation

Forecast effort and schedule early, keeping staffing plans aligned as scope evolves.

Advisory and strategy

Software Sizing & Agile Planning

Translate evolving software scope into size, effort, cost, schedule, and risk ranges. Test staffing, reuse, and delivery scenarios.

Advisory and strategy

Design-to-Cost & Design for Manufacturing (DFM)

Estimate manufacturing cost from part geometry, process steps, and material choices. Fully integrated with CATIA by Dassault Systèmes and SEER-3D. Brings cost reality forward into design decisions.

Galorath's flagship estimation system of record. Sits between PLM and ERP, delivering parametric cost, schedule, and risk modeling across hardware, software, manufacturing, IT, and space programs. Modules include SEER for Hardware, SEER for Software (SEER-SEM), SEER for Manufacturing (SEER-MFG / SEER-DFM / SEER-3D), SEER for IT, and SEER for Space.

Our assessment: Core productized platform with multiple domain-specific modules, decades of deployment, and named client proof points — highly substantive.

Estimation-Centric AI layer integrated with the SEER platform. Uses natural language and agentic workflows to convert documents and narratives into structured WBS, BOM, and estimate artifacts. Supports private cloud, air-gapped, and hybrid deployments for secure handling of CUI and sensitive data.

Our assessment: Purpose-built agentic AI product with described methodology, security architecture, and quantified productivity stats — highly substantive.

Galorath's overarching framework and brand for governed cost, schedule, and risk commitments. Combines SEER parametric modeling with SEERai to fill the gap between PLM intent and ERP actuals, enabling defensible estimates in minutes.

Our assessment: Well-described methodology with clear positioning and quantified outcomes — substantive branded framework.

A knowledge resource and guidance center on secure, explainable AI purpose-built for cost, schedule, and risk estimation. Positioned as educational thought-leadership resource distinguishing ECAI from generic AI.

Our assessment: Branded resource center with positioning content; appears educational rather than a deployed tool — medium substantiveness.

Manufacturing-specific SEER module for estimating cost from part geometry, process steps, and material choices. Integrated with CATIA by Dassault Systèmes and SEER-3D. Used by Lockheed Martin to save ~400 hours/month.

Our assessment: Named module with client proof (Lockheed Martin) and specific integration details — highly substantive.

Online training and certification program for SEER platform users.

Our assessment: Named learning portal with a direct URL — medium substantiveness as a training resource rather than an estimation IP asset.