DAOSoft Decision Management Platform
AI-driven decision-management software for high-stakes engineering.
Choose designs, technologies and investments with a clear view of the evidence, tradeoffs and uncertainty. DAOSoft gives engineering and program leaders one platform to develop alternatives, compare their consequences and carry decisions through review and change.
No prepared charter or data upload needed. We can use a representative example.
Connected evidence. Decisions with a history.
Illustrative decision workflow. Connections show reasoning relationships, not automatic integrations.
Read the diagram
Engineering and program context inform a recommendation. Human authority remains separate. Reconsideration preserves linked earlier and revised decision records. This is a conceptual explanation, not a product screenshot.
Engineering has a digital thread. Decisions need one too.
Requirements, models and product configurations have dedicated systems. The reasoning behind a consequential choice can still be scattered across analyses, meetings and presentations.
DAOSoft brings decision science, AI and coordinated decision work together. When a referenced requirement or test result changes, your team can follow the recorded links to the decision basis and determine what needs to be reconsidered.
From an open question to a decision your team can act on.
01
Frame and plan
a decision charter, study methods, evidence needs and assigned work.
02
Analyze and challenge
feasible alternatives, engineering measures, uncertainty and stakeholder judgments.
03
Review and commit
a decision package, an authorized course of action and the record needed to revisit it.
AI for evidence-intensive engineering work.
Clarify an ambiguous request, retrieve source-linked evidence, propose a study plan and challenge assumptions. Use AI to explain analytical results while people review its contributions and retain decision authority.
A foundation of invention and recognized research.
Two issued U.S. patents in collaborative and human–AI decision-making.
Three consecutive years of GVSETS Best Paper recognition, 2024–2026, including Best Overall Paper in 2026.
Named in a U.S. Army SBIR/STTR topic for advanced structured decision and trade-study capability.
Start with the choice your program faces.
Representative synthetic case
See why greater range did not make a package acceptable.
A representative synthetic engineering case shows how new evidence changed the selected package without changing the requirements—or erasing the earlier decision.
Start with the choice your program faces.
No prepared charter or data upload needed. We can use a representative example.