Validation stage

Pre-pilot, evidence-building, institution-first.

CelestyxAI is currently validating the workflow, safety architecture, governance assumptions and evaluation strategy required before a controlled institutional pilot.

Current status

No prospective clinical efficacy claim. No autonomous patient deployment. The next milestone is a controlled, professionally supervised validation environment.

Development path

From prototype to institution-ready validation.

2025

Problem framing and prototype exploration

Initial exploration of AI-assisted clinical intake and triage workflows, including early product assumptions and technical prototyping.

Early 2026

Institutional discovery and workflow refinement

Discussions with healthcare innovation stakeholders shifted the product toward a professional-facing, human-validated pre-assessment model rather than direct autonomous patient use.

Mid 2026

Safety and architecture consolidation

Target architecture refined around deterministic policy logic, constrained LLM orchestration, schema validation, auditability and interoperability-oriented design.

Now

Pre-pilot validation

Seeking clinical, institutional and research partners to validate workflow fit, safety assumptions, data requirements and meaningful evaluation endpoints.

What we want to validate

Four questions before deployment.

01

Workflow fit

Where exactly can structured intake assistance reduce friction without adding cognitive or operational burden?

02

Safety performance

How reliably do safeguards identify defined high-risk patterns, exclusions and escalation conditions?

03

Human factors

How do professionals interpret, correct, reject and trust system outputs in realistic conditions?

04

Integration and governance

What data, privacy, audit, interoperability and accountability requirements must be satisfied in the target institution?

Partner profile

Who we want to work with.

Hospitals, health systems, clinical innovation teams, academic groups and applied digital-health programs that can help test the model in a controlled, professionally supervised environment.

Clinical accessProfessionals who understand intake, pre-assessment or triage workflows.
Innovation or research supportAbility to define a structured validation protocol and meaningful endpoints.
Governance engagementPrivacy, security, legal and integration stakeholders available early enough to shape the design.
Partnership

Interested in a validation discussion?

Contact CelestyxAI