Galorath

Advisory and strategy

Project Cost Estimation

Baseline cost early, then re-forecast quickly if assumptions change. Uses parametric modeling and AI to turn incomplete inputs into decision-ready cost estimates in minutes.

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. Incorporate past data and responses into new RFPs.

Advisory and strategy

Risk Assessment & Analysis

Quantify uncertainty into ranges and drivers that leadership can review and act on, using Monte Carlo simulation and parametric modeling.

Advisory and strategy

Scheduling & Labor Estimation

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

Advisory and strategy

Software Sizing & Agile Planning

Translate evolving scope into size, effort, cost, schedule, and risk ranges. Test staffing, reuse, and delivery scenarios to ensure roadmap commitments align with capacity.

Advisory and strategy

RFP/RFQ Strategy & Response

Turn RFPs into structured estimate artifacts faster without sacrificing review readiness.

Advisory and strategy

Design to Cost & DFM (Design for Manufacturing)

Bring cost into design decisions early, compare alternatives before changes get expensive. Estimate manufacturing cost from part geometry, process steps, and material choices.

AI and ML

SEERai – Estimation-Centric AI

Agent-powered AI workflows purpose-built for cost, schedule, and risk estimation. Converts messy inputs (documents, narratives, requirements) into structured WBS, BOM, and estimate elements with traceability and human approval checkpoints.

Module translating evolving software scope into size, effort, cost, schedule, and risk ranges; supports agile planning and software sizing.

Our assessment: Named module with client testimonials (Veridian, TASC) and clear use-case description; substantive but detail lives on sub-pages.

Manufacturing cost estimation module integrated with CATIA by Dassault Systèmes and SEER-3D. Estimates cost from part geometry, process steps, and material choices to support design-to-cost and should-cost workflows.

Our assessment: Productized module with named integration (CATIA/Dassault Systèmes), a major client case study (Lockheed Martin), and quantified outcome (400 hrs/month saved).

Galorath's flagship estimation system of record sitting between PLM and ERP. Modular platform covering hardware, software, manufacturing, IT, and space estimation with parametric modeling and validated historical data from hundreds of thousands of projects.

Our assessment: Flagship productized platform with decades of validated data, multiple domain modules, and named client proof points – highly substantive.

Module for cost, schedule, and risk commitments for hardware development programs, supporting lifecycle commitments before designs mature.

Our assessment: Named module within the SEER platform with domain-specific description but limited standalone proof on the captured pages.

Estimation-Centric AI layer integrated with SEER. Uses agentic workflows and natural language to convert documents/narratives into structured WBS, BOM, and estimate elements. Supports air-gapped and private cloud deployment for secure environments.

Our assessment: Actively marketed AI product with quantified productivity claims, named beta customers, and security architecture detail – highly substantive.

Knowledge hub and guidance framework for secure, explainable AI applied to cost, schedule, and risk estimation. Positioned as a resource center addressing AI governance in estimation contexts.

Our assessment: Branded thought-leadership framework with dedicated page; governance-focused but described more as a resource center than a deployed methodology.

Annual research report on cost, schedule, and risk estimation trends based on interviews with 220 professionals across multiple industries.

Our assessment: Proprietary annual survey dataset used to substantiate market claims; credible primary research but primarily a marketing/thought-leadership asset.