imaware

SuperTruth × imaware

From fragmented diagnostics to revenue intelligence.

How SuperTruth helped imaware, its diagnostics company, get answers from 105,000 diagnostic records and find the customer segment behind 20% of its revenue in a single analysis.

imaware.health
imaware personalized diagnostics platform

About imaware

Diagnostics platform for personalized health: 200+ biomarkers, at-home and lab testing.

2 hrs

Diagnostic data analysis time, down from three weeks

20%

Of total revenue identified from key customer segment

105K

Diagnostic records standardized

200+

Hours of manual work saved

The platform

A diagnostics platform built on 200+ biomarkers.

imaware enables health and wellness companies, employers, and health systems to offer branded at-home and lab testing experiences, tracking everything from triglycerides to thyroid function.

As their platform scaled to hundreds of thousands of diagnostic records, the data behind it became increasingly fragmented: siloed across systems, unstandardized, and inaccessible to the business teams who needed it most.

imaware platform dashboard
imaware analytics

The challenge

105,000 records. Zero unified intelligence.

imaware faced four interconnected obstacles that prevented their diagnostic data from creating business value.

Access issues

Business teams struggled to directly access insights from vast historical diagnostic data.

Reliance on technical teams

Manual data analysis relied on technical resources, slowing actions on business insights.

Complex data landscape

Non-technical users found it challenging to extract meaningful business intelligence from diverse data sources.

Data standardization gaps

The company lacked consistency across multiple testing categories and systems.

The solution

SuperTruth unified, scored, and activated the data.

01

One standardized record set

Diagnostic data from imaware's separate systems consolidated into one standardized set, complete and consistent across testing categories.

02

Natural language query layer

Business teams asked questions in plain English and got answers from 105,000 diagnostic records, without writing a single query.

03

Interactive visualizations

Heat maps, charts, and trend graphs surfaced patterns inside 105,000 records that had been invisible to the business team.

imaware analytics dashboard: sales intelligence unlocked by SuperTruth

Business impact

3 weeks became 2 hours. The segment behind 20% of revenue became visible.

Accelerated analysis

Reduced diagnostic data analysis time from three weeks to two hours.

Improved efficiency

Standardized 105,000 diagnostic records, saving 200+ hours of manual work.

Revenue growth

Identified a key customer segment (males aged 30–35) contributing 20% of total revenue, enabling targeted campaigns.

Business questions answered from the data

Natural language queries answered strategic questions on segment frequency, cluster patterns, and occurrence rates, directly from the diagnostic record set.

Also on the record

BioPhy: The baseline held, and it learned.

BioPhy, an AI-driven pharmatech company, worked with imaware and SuperTruth to connect lab-based biomarker data with device and demographic inputs, unlocking personalized, one-to-one health insights.

BioPhy is now Intrinsic BioPhy, part of Intrinsic Clinical Systems. Source: the imaware case study.

Biomarkers without context

Lab-based biomarker data, device inputs, and demographics lived apart. The goal was a modular, evolving baseline that could support dynamic biomarker analysis and personalized recommendations.

Three layers, one baseline

imaware supplied structured, anonymized baseline lab results via validated at-home collection and clinical lab integration. SuperTruth ingested them into a live, query-ready data layer with contextual enrichment that grows more precise over time. BioPhy brought the scientific rigor to translate the data into meaningful recommendations.

Additions that change answers

Incremental biomarker additions integrated cleanly and changed recommendation outcomes, proving the baseline adapts rather than ossifies.

Built for what comes after launch

New variables slot in post-launch without disrupting the user experience, and the analysis surfaced meaningful correlations between biomarker combinations and self-reported health inputs.

See what SuperTruth can do for your data

imaware turned 105,000 diagnostic records into revenue intelligence in one engagement. Yours can too.