Vertivio is a behavioral intelligence platform that identifies the psychosocial obstacles blocking change — then trains people through them. Live, in market, and expanding from one-time diagnostics into a recurring behavioral training engine.
Billions are spent every year telling people and organizations what's holding them back. Almost nothing is spent successfully moving them past it. Diagnosis is a commodity. Change is not.
A closed loop. Most competitors stop after the first step — which is exactly where the value leaks out.
Adaptive psychometric assessment identifies the specific obstacles blocking an individual's progress.
Individual reports plus expert-facing consoles translate scores into clinically meaningful direction.
Each flagged obstacle maps to a structured training module — not an article, a program.
Rehearsal and check-ins build durable habits and generate the data that proves change occurred.
The platform is built, deployed, and processing real assessments today. This is not a concept round.
Production platform live on AWS. Assessment, scoring, expert console, billing, and fulfillment all operational.
Vertivio's scoring engine is a hybrid of three statistical models working together — built by the same people who invented the adaptive testing algorithms behind the GMAT and helped computerize the ASVAB. It is not something a competitor reproduces by wrapping a language model around a questionnaire.
Critically, it is adaptive. Sequential testing means the assessment concludes as soon as it reaches statistical confidence — shorter assessments, higher completion rates, and better data per question asked than fixed-length instruments.
The strategic shift underway: Vertivio's training engine turns a transactional assessment into a longitudinal program. Six reusable exercise types mean new content is authored, not engineered — content scales without touching code.
Instruction on the obstacle and how the training addresses it.
Private journaling that captures behavioral data longitudinally.
Branching scenarios that teach how, not what — an apprenticeship model.
If-then implementation intentions compiled into a personal action card.
Spaced repetition of the user's own plan until it becomes habitual.
Reflection scoring — the signal the expert sees, while the journal stays private.
Why this matters commercially: a one-time assessment is a one-time payment. A training program with scheduled rehearsal and check-ins is a subscription — and it produces the outcome data enterprise buyers require. A validated module is live; a 21-topic content roadmap is defined.
One platform, three routes to market. The same architecture — organizations, designated administrators, and the individuals they serve — supports clinical practices, employer benefit programs, and direct consumer subscriptions without rebuilding the product.
Live today. Practitioners assign assessments and manage outcomes across their caseload. Each new practitioner brings an existing client base onto the platform, so seat growth follows how the work already happens.
Largest opportunity. Employers deploy Reset to their workforce against existing wellbeing budgets. The same architecture applies — the administrator role is filled by HR or a program lead rather than a clinician.
Expansion. Individuals purchase assessments and ongoing training directly. Already supported by the platform's commerce and account infrastructure.
Why one platform serves all three: the underlying model — organizations, designated administrators, and the individuals they serve — does not change between a clinical practice, an employer, and a consumer buying for themselves. New channels are a go-to-market motion, not a rebuild.
Workplace wellbeing programs fail on utilization because employees do not trust them with honest answers. Vertivio is architected so personal reflection and journaling remain private to the individual — only progress signals surface to the organization. That design decision is a precondition for adoption at scale, not a feature.
Capital accelerates three things, in priority order. Each has been scoped against the existing codebase.
Aggregate rollups at the expert and organization level, with AI-generated narrative summaries. This is a buyer qualification requirement — it is what unlocks enterprise contracts.
Scale the validated module architecture across the 21-topic catalog using an AI-drafts / clinician-reviews pipeline, resolving the content bottleneck that limits the category.
The training loop — daily practice, rehearsal, and check-ins — belongs on the device, where scheduled prompts can reach people in the moment. Planned as a companion to the web platform, extending engagement rather than duplicating it.
This is not a team that read about psychometrics. Vertivio's engine was built by the people who computerized the ASVAB, invented the adaptive algorithm behind the GMAT, and led assessment science at ETS, ACT, and Pearson.
Published extensively on Item Response Theory, adaptive testing, and the health belief model. Held technical and leadership roles at ETS and ACT, contributed to computerizing the ASVAB, and invented the patented adaptive testing algorithm used by the GMAT and the testlet-based algorithm used for the Kansas Interim Assessment.
Deep expertise in AI, Bayesian classification, and adaptive testing. As Principal Systems Engineer at ACT and Data Scientist at Learning A-Z, she pioneered automated procedures for adaptive testing, quality assurance, and latent ability estimation. Previously held expert roles at ETS and Pearson.
Twenty-seven years in enterprise technology, including more than 17 years architecting and operating cloud environments at scale. He has led cloud modernization, cybersecurity, and platform engineering programs for organizations with demanding security and availability requirements, and built the production platform Vertivio runs on today — turning assessment science into software that ships.
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