SuperTruth is the clearing house for health data
“Everyone protects data. No one proves it.”
Your cloud vendor certifies that their copy of your data is safe. SuperTruth proves the data itself is accurate, consented, and current, and scores every record 0 to 100 before your AI touches it. Nothing moves. Full scoring in 2 hours, down from 3 weeks.
The Gauntlet
Same question. Four systems. Live.
Live from 11,220,406 sourced data points, each dated. The others answer from memory.
Swipe sideways for ChatGPT, Gemini, and Grok →
| Question | SuperTruth × DataSpinelive · sourced · dated | Recorded answers, 26 Aug and 1 Sep 2026 · none cites a source | ||
|---|---|---|---|---|
| ChatGPT | Gemini | Grok | ||
| DiabetesPhiladelphia Countyfull answers | 12.3%CHR: Diabetes Prevalence % · 2024 · recorded 26 Aug 2026 · 212ms | About 12–13% of adultsthen asks which year you want · 6.5s | approximately 15.4%no year given · 5.3s | Approximately 11.8–13.5%cites 2021 BRFSS · 8.4s |
| Life expectancyHarris Countyfull answers | Querying… | “Do you have a specific year or source in mind?”no number given · 8.7s | approximately 78.7 to 79.1 yearsno year given · 6.8s | Approximately 76.8–77.5 yearscites 2019–2021 data · 7.8s |
| OverdoseDavidson Countyfull answers | Querying… | “Do you have a specific year and measure in mind?”no number given · 4.8s | 104.7 per 100,000cites 2022, age-adjusted · 7s | 52.3 per 100,000cites 2022, age-adjusted · 9.7s |
| LonelinessLos Angeles Countyfull answers | Querying… | “Do you have a specific source or timeframe in mind?”no number given · 9.6s | approximately 24%cites an early-2024 report · 6.4s | “I don't have a verified, specific percentage”declines to answer · 6.2s |
| UninsuredPhiladelphia Countyfull answers | Querying… | About 12% of adults (ages 18–64)cites CHR 2024 / SAHIE 2022 · 6.3s | Approximately 8.1%ages 18–64, cites ACS 2022 · 6s | Approximately 8.5–9%cites SAHIE 2021 · 8.6s |
| Food insecurityLos Angeles Countyfull answers | Querying… | About 1 in 4 adultsthen asks which year you want · 14.1s | approximately 24% to 26% of householdshouseholds, not adults; 2023 report · 5.9s | Approximately 20–25%cites 2018–2022 survey waves · 10.9s |
| Your countyAny of 3,142 countiesTest us where you already know the answer. | Nothing is shown until you choose. Fifteen figures come back with the survey and the year behind each, usually in about 200 milliseconds. | |||
SuperTruth answers run live from DataSpine as you read, each with its source and vintage. Recordings are verbatim, made through each vendor's API; no sources · no provenance · answer from training memory. Re-recorded quarterly. Click a row for the full text.
The benchmark, the agent in the corner, and your county read from the same spine. Ask any of them the same question and you get the same figure, with the same source.
DataSpine is run by SuperTruth. Your records stay inside your walls and meet it on the county code.
Two kinds of trust
One kind protects your data. The other proves it.
Cloud platforms have built an entire industry around the first kind. SuperTruth sells the second. Almost nobody else does, and the demonstration below is how we prove it.
Infrastructure trust
What cloud platforms sell
- Our copy of your data is encrypted
- SOC 2 / HITRUST / ISO 27001 certified
- Role-based access controls
- Sub-processor agreements on file
- Their perimeter is locked down
Their trust center tells you their copy of your data is safe. It says nothing about whether the data is actually true.
Data trust
What SuperTruth proves
- The data itself is accurate and current
- DTI™-scored across 8 trust dimensions
- Consent verified, not assumed
- Glass Box provenance at the SQL level
- No copy to secure. Verified in place.
Our proof is visible. Glass Box means provenance is live on the source data. No NDA required to see it.
Cloud platforms prove their copy of your data is safe. We prove the data itself is true. That’s not the same category.
We deploy inside your existing cloud. Your data never moves.
We prove it’s trustworthy before you act on it. The line below is the demonstration.
Built for Healthcare
Tell us your job. We will show you what SuperTruth changes about it.
Five people act on the same record on the same Tuesday: a clinician, a pharmacist, a payer, a telehealth physician, a researcher. Pick yours.
I see patients · Clinician, care team
You get the whole patient, not the part that happened to sync.
The chart in front of you was assembled from systems that were never built to agree with each other. We reconcile it into one record, resolve the conflicts, and score every element for where it came from and how current it is. You see which parts you can act on now, which need a second look, and why. The reasoning is visible. So is the source.
I dispense · Pharmacy
The last check before the counter, with the whole record behind it.
Allergies, interactions, and prior fills often live in systems the counter cannot see. We bring the complete record into the moment of dispense, each element dated and scored, so the check you run is the check that matters. Consent is verified in real time, not assumed, and a revocation reaches you the instant it is made.
I price risk · Payer, plan
Risk models that run only on data you can defend.
A regional health plan enriches member claims with SDOH context and trust scores across three intelligence lenses. Risk stratification runs only on records that clear the minimum DTI threshold, which removes dirty data from actuarial models before they inform decisions that affect people's coverage. When a regulator asks how you knew, the answer is a replayable score, not a recollection.
I prescribe remotely · Telehealth
You have never met this patient. The record has.
A patient calls in and tells you what they remember. The allergy they forgot, the fill from another pharmacy, and last month's labs are all real, and none of them are in front of you. We bring the complete, scored record into the call: every element dated and sourced, consent verified in real time. A remote prescription rests on what is known, not on what was recalled, which is the difference between a defensible chart and a deposition. Through our MedSync partnership, the complete, consented record is available at the moment of care.
I run studies · Research, pharma
Cohorts a reviewer will accept, with the chain of custody attached.
Federated queries run where the data already lives. Nothing moves, so nothing has to be de-identified twice or explained to a second privacy office. Every record in your cohort arrives with its provenance, its consent scope, and a score you can replay in front of an IRB, a journal, or a regulator. Clean Rooms handle the cross-institutional work.
Every record dated, sourced, consented, and scored, before anyone acts on it.
A telehealth Tuesday
The same call, with and without the record.
A patient calls in. On the left is what they remember. On the right is the reconciled record, every element dated and scored. A synthetic patient, a real scoring engine.
Without the record
What the patient remembers on the phone
“No drug allergies that I know of.”
The chart documents a penicillin reaction 28 days ago.
“I take metformin… the smaller dose, I think.”
The dose was doubled at the last visit.
“That's everything I'm on.”
Claims show an active statin fill the chart never recorded.
“My blood pressure runs about normal.”
138/86, measured 28 days ago.
The prescription that follows rests on recollection. So does the deposition.
With the record
What the clinician actually sees at call time
Allergy: penicillin, documented reaction
Hospital EHR · 28 days ago · supersedes the prior practice's “no known allergies”
Metformin 1000mg, current dose with titration history
Hospital EHR · 28 days ago · 500mg entry kept in the audit trail
Atorvastatin 20mg, active fill the chart never saw
Claims history · 12 days ago · the interaction-check gap, closed
HbA1c 7.1% and resting heart rate, days old
CLIA lab · 21 days ago · wearable stream · 2 days ago
The prescription that follows rests on what is known: every element dated, sourced, and scored before the call connects.
A composite patient. Every element is synthetic; the score is computed by the production DTI™ engine when this page renders.
Customer proof
“We handed SuperTruth 105,000 diagnostic records. Questions that used to take my team three weeks come back in two hours, and my business team asks them in plain English. The first analysis found the customer segment driving 20% of our revenue, one we had never identified before.”
Brodie Flanders
CEO, imaware
105,000
records standardized
3 wk → 2 hr
analysis time
20%
of revenue, segment found
Data Trust Index
The authorization layer for health data
DTI scores the record, not the patient. Every data point is scored across 8 dimensions before anything downstream acts on it. Weights adjust per use case: healthcare prioritizes consent and provenance, research prioritizes accuracy and consistency.
Source pedigree, device attestation, and chain-of-custody. Where did this data come from, and can you prove it?
Explicitness, scope, duration, and revocation hygiene. Was the person asked, and does that consent still hold?
Time-decay calibrated by modality. A CBC result ages differently than a continuous HRV stream.
Resolution, completeness, missingness, and noise floor. How clean and complete is the record itself?
Corroboration across independent sources. Does the lab result agree with the wearable? Does the EHR match the claim?
Clinical linkage to outcomes and peer-reviewed evidence. Is this data type established as clinically meaningful?
Dimensional richness across biomarkers, biometrics, and contextual signals. A richer record is a more trustworthy one.
Variance control and test-retest reliability. Does this record produce consistent measurements over time?
How we engage
Eight weeks. Three deliverables. Then the pipe stays open.
We start with a time-boxed discovery engagement that produces three concrete deliverables. When it is done, the pipe is built. Phase 2 keeps it open.
Phase 1
Eight weeks. Three deliverables.
Replication Blueprint
Mechanism mapping, data audit, minimum viable dataset. Powered by IntegrityNet.
Evidence Pack
DTI scoring of your data, outcome-to-cost correlation, top predictors of success. Powered by DTI Engine.
Executive Prospectus
KPI standardization, board-ready scorecards, reporting templates. Powered by the Intelligence Portal.
Once this work is done, your data is in the platform. The pipe is built. Everything after is about keeping it open and using it.
Phase 2
A living platform, not a static report.
Real-time data flowing continuously
Living Intelligence Portal dashboard
Continuous outcome tracking
API access for your own tools and models
Federated query participation
Phase 1 builds the pipe. Phase 2 keeps it open, and your dashboards stay live.
Leadership
We believe technology should help people: not replace them, not obscure them, not profit from them without their knowledge.
SuperTruth exists because trust in health data is a matter of life and consequence. We build with that weight in mind.
Bobby Hill
CEO, Co-Founder
Built and led businesses in insurance, technology, and patient advocacy; founded Sean's Friends, the donor-advised fund that receives every dollar of SuperTruth's pediatric revenue, permanently.
Jason Alan Snyder
Co-Founder & CAIO
Inventor of the Data Trust Index; former Global Chief AI Officer of Momentum Worldwide, where he put working AI inside campaigns for Coca-Cola and Verizon; Adweek AI Power 50, 2026.
Louis Simeonidis
SVP, Commercial Operations
Owns every enterprise conversation from first call through pilot and contract; previously built business development for the conversational AI platforms Furhat Robotics and Misty Robotics.
Dustin Raney
Chief Strategy Officer
Twenty-five years in data and identity, including Vice President of Product Strategy at Acxiom, where he led the Real Identity product line for brands like Amazon, Walmart, and JPMorgan Chase.
Adam Moriarty
Advisor, Growth Officer
A long career in healthcare commercialization; builds the health-system, laboratory, channel, and investor relationships that become SuperTruth and MedSync customers, working hand in hand with the commercial team from Texas.
Rheanna Crescenzo
Director of Marketing
Runs the brand, the content engine, the website, the newsletter, and press relations; the contact for every journalist, podcast, and conference asking about SuperTruth.
Liz Young
Chief People Officer
Runs people, culture, and operations across SuperTruth and SuperTruth Studio; CEO of StudioLabs, the software agency she founded twenty years ago, and cofounder of CoachMePlus.
Chris O'Brian
CFO
Runs finance, investor operations, and the corporate structure across SuperTruth and its subsidiaries, including imaware; HIPAA privacy and security certified.
Dina Brewer
General Counsel
Founder and managing partner of Princeton Law Partners after Davis Polk & Wardwell in New York and London and Morgan Stanley's merchant banking fund; Princeton, Harvard Law, New York bar since 1994.
Jason Isla
CTO
Nine years as COO and CTO of StudioLabs after serving as CTO of MouthWatch and Motivate Design; Carnegie Mellon.
Sandra Guerrero Valencia
Chief of Staff
Runs executive operations for the CEO and Chief AI Officer from Mexico City, and confirms every scheduling request within one business day.
Vera
Phone Agent
Answers SuperTruth's phone day and night, knows the team and who handles what, and hands you to the right human. Built by Artists & Robots for SuperTruth.
Sean's Friends
We will never profit from children.
Sean's Friends is a donor-advised fund established by SuperTruth on Day One, before the company earned its first dollar, supporting pediatric research, children's hospitals, and families navigating rare disease diagnoses.
Building Trust, Building Results
Better patient outcomes, proven at the source.
Cloud is how we deliver. Proof is what we sell. Bring us one hard question and watch the answer arrive with its sources attached.
Prefer to read first? The DTI white paper is citable and permanent.