A new name and visual direction
R.U.R. Platform brings together Radius, Primus, and Glory under the Lunar Chrome visual system. OneyAnalytics remains the company behind the platform. Earlier recordings and screenshots retain the former product names.
What is true today
- OneyAnalytics is founder-led by Dylan Oney and based in Durham, North Carolina.
- The company can work fully remotely and may travel by agreement.
- Current product proof is one local synthetic Margin at Risk Decision App plus bounded governed-data and analytical workflows.
- Consequential decisions, external actions, customer access, pricing, and public claims remain human-authorized.
What the team is improving
- A more usable Glory-led experience across technical skill levels.
- Stronger field intelligence, calculations, quality, lineage, exports, recovery, and cross-application behavior.
- A governed internal management plane so OneyAnalytics can use its own decision system to run the company.
- Modular documentation and clear Managed, Collaborative, and Client-controlled operating choices.
- Safer customer, partner, and collaborator intake with staged access and explicit boundaries.
What is open for learning now
- Conversations with operators about one recurring material decision, the evidence it requires, and the follow-through it should support.
- Questions about the platform and its development. The proposed founding customer program is paused; no paid pilot enrollment is underway.
- Referral, sales, cybersecurity, agent-network, technical, advisor, and collaborator interest through the bounded inquiry paths below.
- Public learning about governed decision operations using clearly labeled synthetic examples—not customer outcomes or production-readiness claims.
What remains a hypothesis
Growing, acquisitive, private-equity-backed, multi-entity, data-forward, and AI-friendly organizations are priority research segments. Broader industry pages describe decision areas to investigate, not released applications, buyer validation, production readiness, demand, or outcomes. Exact package economics remain under research.
Ways to express interest
Business questions
Explore one recurring decision and a bounded, read-only-first evidence path.
Referral or sales
Share relevant experience and learn the claim, qualification, representation, and approval boundaries before outreach.
Cybersecurity or agentic networks
Explore Trust, identity, agent authority, evidence, or secure operating-model questions without implying access or assurance.
Technical learning or contribution
Begin with a siloed personal AI workspace and synthetic local exercises before any OneyAnalytics work or access is considered.
Advisor or collaborator
Describe the perspective, relationship, availability, and smallest reversible way to learn together.