SenterME did not begin as the company it is today.
I want to tell the story of how SenterME got here honestly — not as a founder myth, but as a methodological record. Because the decisions that led us to Santi v1 were not obvious, and the pivots were not comfortable, and the discipline required to sequence the build the way we sequenced it cost time we did not have and surfaced hard truths we did not want.
This is the story of 20 months, two pivots, and one carefully chosen beachhead.
"Diagnostic-Ready is not the same as category-complete. We shipped what we could govern. That is the right order."
SenterME entered the market focused on burnout. Not as a wellness app, but as something more systemic. I had observed, across years of work with organizations, that burnout was not primarily an individual failure to cope. It was a symptom. The system was taking too much, and doing so in ways that were invisible until the damage was done.
That observation was correct. The problem was the language.
By the time we entered the space, burnout had been flattened. It had become a personal wellness problem. The interventions industry had grown fast and loud, and the more solutions appeared, the worse the numbers got:
| Year | U.S. corporate wellness market size | Employee burnout rate | Source |
|---|---|---|---|
| 2019 | $52.8B | 67% | Gallup / Grand View Research |
| 2021 | $58.1B | 75% | Indeed / Market Research |
| 2023 | $67.5B | 76% | Deloitte / IBISWorld |
| 2025 (projected) | $75.6B+ | Still rising | Grand View Research |
More investment. Worse outcomes. This is the defining paradox of the burnout solutions market: the problem has not responded to the solutions because the solutions are treating symptoms, not causes.
I knew this. But the only language I had was the language everyone else was using.
The first pivot was conceptual. It happened not because of market feedback — though market feedback confirmed it — but because of what I saw when I got quiet enough to look again.
What if burnout is just a symptom? What if attrition, disengagement, and toxic culture cycles are all symptoms? And what if employees are not the victims of these problems — but the biomarkers?
That reframe produced the Enterprise Collapse Disorder framework — an attempt to name the organizational-level equivalent of what Colony Collapse Disorder described in beehives: a systemic breakdown, driven by compounding stressors, that hollows out the workforce capacity a system needs to survive.
ECD gave us a diagnostic frame. It was not yet a product. For that, we needed to listen.
Over 24 months, I sat with HR leaders, CNOs, COOs, culture architects, nurse managers, and frontline supervisors across healthcare, education, corporate tech, airport operations, and public sector environments.
I brought no demo. I brought questions. What I heard was consistent:
| What leaders said | What it meant for SenterME |
|---|---|
| "We have data everywhere but can't see what's actually happening" | Diagnostic infrastructure, not another dashboard |
| "By the time it reaches my office, it's already too late" | Detection must occur before the lagging signals |
| "We're overstaffed on paper but still short in practice" | Visible headcount ≠ actual structural capacity |
| "We round, we survey, we check in — nothing changes" | The action loop is the gap, not data collection |
| "I need something like a rapid response alert for workforce" | The intervention window concept was already in the field |
The healthcare conversations were the most urgent — and the most specific. The charge nurse managing too many direct reports with no real-time structural visibility. The CNO receiving strain signals only through formal escalation, by which point the intervention moment had closed. The nurse manager whose unit had been running below target for eleven weeks, showing no alert in any existing tool.
The phrase that became foundational: "If it reaches my office, it's already too late."
The discovery interviews confirmed that the problem SenterME was built to solve exists across sectors. The temptation was to build a horizontal platform.
We did not.
The discipline was to stay narrow: healthcare, nursing middle management, structural strain detection. Not because the broader market was not real, but because:
| Build path we chose | Build path we declined |
|---|---|
| Deep, governed, healthcare-specific | Broad, fast, multi-sector |
| Claim-permission architecture | Maximum feature claims |
| Diagnostic-Ready before category-complete | Ship fast, iterate |
| Evidence before narrative | Narrative before evidence |
| Privacy-by-architecture | Privacy-by-policy |
The second path would have gotten us to market faster. It would not have gotten us to a system a CNO can trust.
Diagnostic-Ready is an internal definition we built to hold the line against scope creep in both directions — against shipping before the system was trustworthy, and against waiting until it was perfect.
Our definition: Santi can be deployed in a live health-system environment for a 90-day diagnostic without overclaiming, without cross-org contamination, without privacy drift, and without unstable interpretation behavior.
Getting there required things that are not glamorous:
| What it required | Why it mattered |
|---|---|
| Signal reliability gates | Restrict claims to what signal quality supports |
| Sparse-signal handling | Prevent false pattern detection in low-participation periods |
| Multi-tenant isolation | Ensure no cross-org data contamination in concurrent pilots |
| Fairness review posture | Detect and flag potential pattern artifacts before surfacing |
| Claim-permission architecture | Lock what Santi is and is not allowed to say |
| Version control on model outputs | Audit trail for every output and the governance state that produced it |
It also required two rounds of model reassessment — both of which found things we had to rebuild. That was not comfortable. It was necessary.
| Milestone | Status |
|---|---|
| 160+ discovery conversations | Complete |
| ECD framework published | Complete |
| Santi v1 architecture | Complete |
| Pilot readiness (phases 0–3) | Complete |
| System CNO approval | Secured |
| 90-Day Diagnostic deployment | Open — cohort forming |
The health systems that enter the diagnostic cohort now are not just early customers. They are the institutions that will help define how Structural Health Intelligence is validated, governed, and measured across healthcare. The category is forming. The organizations that move now are the ones who will define it.
Diagnostic-Ready is not the same as category-complete. We know what we do not yet know. That is the right posture for building something that matters.
The health systems that move during the diagnostic phase will help define how Structural Health Intelligence is validated and measured. Let's talk about whether your system is ready.