DAOSoft™ Suite
DAOSoft™ Suite is a family of tailored solutions that guide every type of high‑stakes decision—across functions and industries—through the entire decision‑making lifecycle. Built on our patented Generative Decision Intelligence™ Architecture, each product applies a value‑focused, set‑based approach to model needs precisely and deliver targeted, superior outcomes.
How Organizations Leverage Decision Intelligence
Government & Defense
Use Cases
Technology Evaluation & Adoption: Structured trade studies for procurement and innovation
Program Optimization: Maximize mission outcomes under risk‑ and scenario‑based constraints
Alternatives Analysis: Early‑stage balancing of performance, cost, and risk
Benefits
Transparent, accountable, mission‑aligned processes
Fewer surprises and smoother reviews
Automotive & Aerospace
Use Cases
Feature & Variant Planning: Optimize complex configurations (vehicles, machinery)
Supply‑Chain Network Design: Evaluate global sourcing and distribution strategies
System‑Level Exploration: Rapidly assess cross‑component alternatives
Portfolio Planning: Strategize multi‑model rollouts on shared platforms
Benefits
Reduced production costs and faster time‑to‑market
More resilient, agile supply chains
Core Capabilities of DAOSoft™ Suite
Networked Decision Architecture
Orchestrate studies, projects, and programs as a cohesive, traceable network—reusing insights and maintaining consistency across initiatives.Generative AI Copilot & RAG Context
Leverage AI to draft objectives, questions, and decision rules in seconds, while injecting your own documents and past decisions to ground every prompt in corporate knowledge.Scenario Simulation & Prescriptive Analytics
Run Monte Carlo, real‑options, and “what‑if” analyses with AI‑tuned inputs to explore outcomes, quantify risks, and prescribe optimal pathways.Adaptive, Low‑Code Workflows
Configure Stage‑Gate, Agile, or hybrid processes—no coding required—while embedding stakeholders at every step to build alignment and commitment.Behavioral & Cognitive Modeling
Model both quantitative data and human factors—bias, heuristics, and preferences—to uncover hidden obstacles and drive favorable outcomes beyond historical trends.