Frame
Capture the decision, goals, constraints, and stakeholders.
Decision intelligence, made accountable
Better decisions.
Built to evolve.
Ilyven is building a decision-intelligence layer for consequential work—turning complex inputs into structured, transparent recommendations that update as evidence changes.
DECISION / ACTIVE EVIDENCE UPDATED
INPUTComplex decision
→ILYVEN LAYERStructured reasoning
→OUTPUTTraceable action
DECISION DIFF
New evidence changed one assumption and strengthened the recommended path.
THE PROBLEM
Important decisions are still trapped in meetings, documents, and chat threads.
Traditional AI can generate an answer. Ilyven is being designed to preserve the decision itself—its evidence, assumptions, dependencies, approvals, and history.
When circumstances change, the reasoning should not disappear. It should show what changed, why it matters, and what should happen next.
THE ILYVEN APPROACH
From uncertainty to accountable action.
Structure
Separate facts, assumptions, unknowns, and evidence.
Stress-test
Expose risks, dependencies, and load-bearing factors.
Recommend
Produce a clear, transparent path forward.
Update
Show exactly what changed when new evidence arrives.
INITIAL FOCUS
Starting where costly decisions meet fragmented evidence.
01
Construction & real estate
Ilyven’s initial work is focused on high-impact, repeatable decisions in construction and real estate—environments where assumptions, timing, risk, and accountability directly affect outcomes.
FOUNDER
Built from an operator’s perspective.
Ilyven was founded by Carla Stone (Savko), an entrepreneur with experience across construction operations, real estate, technology implementation, and business development.
Product development is underway, informed by conversations with construction owners and project managers. We’re preparing an initial contractor pilot focused on one project and one consequential decision.