Investor presentation
Investor presentationB2B health risk intelligence

See every client's health in one place.

Biovity is an AI-powered health risk intelligence platform for clinics, longevity centres and healthcare professionals. It brings reports, biomarkers, lifestyle and wearable data into a single profile, and shows where further attention may be warranted.

Client health profileSample data
Client A-104246 · Male · Last updated 3 days ago
4 sources linked
6Lab reports
58Biomarkers
1Wearable
2Lifestyle forms
Cardiometabolic patternApoB, triglycerides, fasting glucose
Elevated
Inflammation markershs-CRP, ferritin
Watch
Recovery & sleepHRV, resting heart rate, sleep
Stable
Illustrative client profile with sample data.
01Founding team

Built by people who know technology and medicine.

Faisal Qutbee
Moonshot Maker

Faisal Qutbee

CEO, Qutbee Technologies
Digital Dubai · ADIA · AI & health technology
10+years of experience in technology

Entrepreneur and technology leader focused on AI, technology, healthcare and longevity. Contributed to the Digital Dubai initiative behind the city's paperless transformation, and to large-scale government projects in Abu Dhabi.

Dr. Ashfaq ul Hassan
Strategic Advisor

Dr. Ashfaq ul Hassan

Professor & Head of Department · SKIMS, India
135 publications · USMLE · MRCS · PLAB · GMC UK
16+years in medicine
35books authored
8editorial boards

Heads the Department of Clinical Anatomy & Histology at SKIMS, with clinical training across surgery, radiology and dermatology.

02The problem

Client health data is everywhere, and the picture is nowhere.

Clinics and longevity centres collect more data per client than ever. Most of it arrives as separate files, in different formats, from different sources.

Blood panel PDF · Lab 1 Lipid profile PDF · Lab 2 Hormone panel scan Wearable export CSV Lifestyle questionnaire form Previous results email
1

Fragmented sources

Lab reports, biomarkers, lifestyle information and wearable data live in separate places and formats.

2

Manual consolidation

Professionals spend time collating results before they can start interpreting them.

3

Changes get missed

Gradual shifts across months of results are hard to see when each report is read on its own.

4

No consistent view

Every client file looks different, which makes reviews slower and harder to standardise.

03The solution

Better decision making. One unified health profile for every client.

Biovity consolidates a client's health information, identifies potential risk patterns, highlights changes over time and presents structured insights, so professionals can focus their attention where it matters.

01

Consolidate

Health reports, biomarkers, lifestyle information and wearable data in one profile.

02

Identify patterns

Potential risk patterns across related markers and data sources.

03

Highlight change

What has moved since the last review, and in which direction.

04

Present insights

Structured, source-linked summaries ready for professional review.

The professional stays in charge. Biovity surfaces what may warrant further assessment. Clinical judgement and every decision remain with the healthcare professional.

04How it works

From scattered files to a structured profile.

Inputs

Health & lab reports
Biomarkers
Lifestyle information
Wearable data
Biovity
  1. ExtractRead values from reports in any layout
  2. StandardiseNormalise units, names and reference ranges
  3. UnifyMerge every source into one client timeline
  4. AnalyseDetect risk patterns and changes over time

Outputs

Unified health profile
Potential risk patterns
Changes over time
Structured insight summary
Then: professional review and decision
05Product · Unified health profile

Everything about a client, on one screen.

  • 01
    Any lab, any formatReports are read, standardised and mapped to one consistent set of markers.
  • 02
    Grouped by body systemCardiometabolic, inflammation, hormonal, liver, kidney and nutritional panels.
  • 03
    Lifestyle and wearables alongside labsSleep, activity, recovery and habits in the same view as the biomarkers.
Clients / A-1042 / ProfileSample data

Client A-1042

46 · Male · 6 reports since 2023 · Last review 12 Aug

LabsWearableLifestyle
Wearable · 30-day average
Resting heart rate64 bpm
HRV38 ms
Sleep6 h 10 m
Lifestyle
Activity2 sessions / week
AlcoholModerate
Stress (self-reported)High
Fig. 1 Unified client profile. All client data shown is illustrative sample data.
06Product · Risk patterns & change over time

Patterns across markers, and how they're moving.

Clients / A-1042 / Risk patternsSample data
Cardiometabolic patternElevated · review
ApoB 128 mg/dLTriglycerides 210 mg/dLFasting glucose 104 mg/dL

Three related markers above reference range across the last two reports. Source: Lab report, 02 Sep.

Low-grade inflammationWatch
hs-CRP 2.9 mg/LFerritin 310 ng/mL

hs-CRP trending upward across three reports, alongside reduced HRV.

Vitamin D statusWatch
25-OH Vitamin D 22 ng/mL

Below range in the latest report; previously within range.

Fig. 2 Potential risk patterns, each linked to the markers and reports behind it.
Clients / A-1042 / TrendsSample data
ApoB over timemg/dL · shaded = reference range
ApoB+18% since last reviewUp
HRV (30-day avg)−12%Down
HbA1cNo significant changeStable
Fig. 3 Changes since the last review, across labs and wearable data.
07Product · Practitioner workspace

See which clients need attention first.

  • 01
    A review queue, not a pile of filesClients with new data or new patterns surface at the top.
  • 02
    Consistent across the whole teamEvery practitioner reviews clients in the same structured format.
  • 03
    Ready for the consultationShareable, clinic-branded summaries for client conversations.
Clinic workspace / Review queueSample data

Review queue

Updated today
Active clients0
New data0
Flagged for review0
Reviewed this week0
ClientLatest dataChangeStatus
A-104246 · MLab report · 3dNew cardiometabolic patternReview
B-221752 · FWearable sync · 1dHRV down 15%Watch
C-038838 · MLab report · 5dVitamin D back in rangeImproved
D-119061 · FQuestionnaire · 6dNo new patternsStable
Fig. 4 Clinic workspace with a prioritised review queue. Sample data.
08Who it's for

Built for professionals who manage long-term client health.

Longevity centres

Ongoing, data-rich client programmes.

Preventive & functional clinics

Repeated testing and lifestyle-led care.

Executive health programmes

Annual and periodic assessments at scale.

Corporate wellness providers

Population-level health programmes.

Independent practitioners

Coaches, nutritionists and physicians.

Value for the clinic
01

Less time collating

Reports are consolidated before the professional opens the file.

02

Consistent reviews

The same structured view for every client and every practitioner.

03

Earlier attention

Changes over time are surfaced, not discovered by chance.

04

Stronger engagement

Clear, branded summaries keep clients involved between visits.

09Market size

A fast-growing market, and a clear first segment.

$6.3TGlobal wellness economy, 2023
15.2%Yearly growth of prevention & personalised medicine, 2019–23
60%+Of consumers rate healthy ageing and longevity as very or extremely important
TAM $2.1B SAM $230M SOM $9M
TAMTotal market

Software that helps clinicians interpret patient data

Global clinical decision support software market, 2024. Conservative estimate; other reports go up to $10.8B.

$2.1B
SAMReachable market

Preventive, functional & longevity professionals

~104,000 functional-medicine-trained clinicians × $1,800/yr, plus ~4,200 longevity & health-optimisation clinics × $10,800/yr.

$230M
SOMYear-5 target

What Biovity aims to capture

About 1,940 paying practitioners, clinics and groups by year 5, under 4% of the reachable market (see revenue projection).

$9M

Sources: Global Wellness Institute, Global Wellness Economy Monitor 2024 · McKinsey, Future of Wellness 2024 · Global Industry Analysts, clinical decision support systems (via GII) · Institute for Functional Medicine, 2025 impact report · Market Intelo (clinic count, broad definition). SAM and SOM are Biovity estimates using proposed pricing.

10Market & landscape

More health data than ever, and few tools built to read it together.

01
Preventive and longevity care is growingMore clinics are offering ongoing, data-driven programmes.
02
Testing is more frequentClients bring repeat panels from multiple labs every year.
03
Wearables are mainstreamContinuous data now sits alongside periodic lab results.
04
AI can now read unstructured reportsConsolidation that used to be manual can be automated.
For professionals For consumers Many sources → ← Single source
Lab portals
Practice & record systems
Wearable apps
Consumer longevity apps
Biovity
Fig. 5 Where Biovity sits: built for professionals, across many data sources.
11Business model

B2B subscription that grows with each clinic.

Entry
Practitioner
For independent professionals
  • Unified client profiles
  • Risk patterns and trends
  • Client summaries
CoreMain plan
Clinic
For clinics and longevity centres with teams
  • Everything in Practitioner
  • Team workspace and review queue
  • Wearable integrations
  • Clinic-branded reports
Scale
Enterprise
For multi-site groups and partners
  • Multi-location management
  • Full white-label
  • API and system integrations
  • Dedicated support
Pricing basis: per seat and active client profilesExpansion: more clients, more practitioners, more locations

Proposed tiers. Pricing and packaging to be finalised.

12Revenue projection

A path to $8.9M in annual recurring revenue by year 5.

Annual recurring revenue (ARR), end of year
ClinicPractitionerEnterprise
Fig. 6 Illustrative projection built from the assumptions on the right. Not a forecast of actual results.
Paying customersY1Y2Y3Y4Y5
Practitioners$150 / month602005009001,400
Clinics$900 / month avg.1560160320520
Enterprise groups$40,000 / year avg.0261220
ARR$0.27M$1.09M$2.87M$5.56M$8.94M
How to read this: ARR (annual recurring revenue) is what all paying customers would pay over a year at that point. Each year's figure is simply customers × price for every plan. Prices are proposed and will be validated with early clinics.
13Trust, privacy & safety

Designed for sensitive health data from day one.

Encrypted by default

Data is encrypted in transit and at rest.

Consent-based

Client data is added and shared only with consent.

Role-based access

Each practitioner sees only the clients they are permitted to.

Audit trail

Every view and change is logged.

Explainable insights

Every pattern links to the markers, values and reports behind it.

Human in the loop

Insights inform professionals. They never act on their own.

14Roadmap

From clinic platform to health data infrastructure.

Phase 1

Clinic platform

  • Unified client profiles
  • Report extraction and standardisation
  • Risk patterns and change tracking
  • Practitioner workspace
Phase 2

Connected data

  • Direct wearable integrations
  • Lab partner data feeds
  • White-label client reports
  • Team analytics for clinics
Phase 3

Scale & partnerships

  • Multi-site enterprise groups
  • Open API for health platforms
  • Population-level insights for programmes
  • Expansion into new markets
15The opportunity

Help us give every clinic the full picture.

Investors

Scale the platform

Fund product, integrations and go-to-market with clinics.

Clinics

Become a launch partner

Early access and direct input into the product.

Partners

Integrate with Biovity

Labs, wearable companies and health platforms.

Use of funds: product and AI engineering · integrations · clinic acquisition · security and compliance.

Biovity
Let's talk.Faisal Qutbee, Moonshot Maker · faisal@qutbee.com
Back to start

Client profiles, values and workspace figures shown are illustrative sample data. Biovity is a health risk intelligence platform for healthcare professionals. It does not diagnose, treat or provide medical decisions; all clinical decisions remain with qualified professionals. Pricing tiers are proposed and subject to change.