CellWise reads single-cell gene expression and turns it into a story a clinician can act on: what's driving the symptoms a standard panel can't see, which systems are involved, and the exact next step.
✓ Founding pilot rate: $1,800 a patient✓ Founder pricing✓ No repeat sequencing to keep using it
Grounded inreal population datapeer-reviewed researchlegacy single-cell technologySee what's inside
The Founding Practitioner Pilot: up to five of your own patients at $1,800 each for Core Plus, 14% below standard, invoiced only for the ones you send.
One PBMC sample is read gene by gene in each immune cell population, then grouped into the programmes and health domains that shape how a patient feels and functions. Pick a domain to see the programmes and genes behind it.
Domain 01 of 1180 genes · 21% of the panel
Cell health & aging
Are cells keeping up with repair?
Autophagy, DNA repair, senescence, mitochondrial upkeep and telomere maintenance: the housekeeping that slows as cells age.
Cytokines, interferon, inflammasome and pattern-recognition genes, traced to the cell populations driving them, so the source is visible and addressable.
Receptors and response genes for cortisol, thyroid and sex hormones, neurotransmitters and the body clock, read on the immune cells that answer to them.
Cardiac and vascular signalling, lipid uptake, coagulation and endothelial genes: early cardiometabolic signals, before they surface on a standard workup.
NRF2, AHR and phase I/II genes: the cellular response to oxidants, pollutants and xenobiotics.
NRF2 detox6
GCLCGCLMHMOX1NFE2L1NFE2L2NQO1
Xenobiotic (AHR) response3
AHRCYP1A1CYP1B1
Phase I/II metabolism3
ALDH1A1CYP3A4MTHFR
Metal binding2
MT1AMT2A
Domain 10 of 118 genes · 2% of the panel
Reproductive health
What context sits behind a fertility conversation?
Gonadal and reproductive-immunology genes, read alongside the NK and interferon context from the immune domains.
Gonadal & germ-cell genes7
CYP19A1FAM71F2HSD17B3KLK15PATL2STARSYCP3
Reproductive immunology1
HOXA10
Domain 11 of 117 genes · 2% of the panel
Bone health
Is bone turnover tilting?
RANK, OPG and WNT signalling, read on the immune cells that help regulate bone remodelling.
Bone remodelling (RANK/OPG)7
ACP5CTSKRUNX2TNFRSF11ATNFRSF11BWNT10BWNT16
Every gene is scored in each cell population against people of the same sex in the reference set, so a finding always comes with the cells and genes carrying it.
The panel is growing. The next release widens coverage, and this chart updates when it ships.
Biological storytelling, in action
Depth that changes the next step.
Three examples of the reasoning CellWise surfaces, and the decision each one sharpens.
Autoimmune triageUse case 1 of 3
The patient
Unexplained fatigue and joint pain.
Months of it, no clear trigger, and a practitioner who wants to know where to look first.
Illustrative read. Not a specific patient.
The standard panel
Complete blood count✓ In range
Metabolic panel✓ In range
CRP✓ In range
Thyroid (TSH)✓ In range
Reads normal.
Illustrative read. Not a specific patient.
What CellWise reads
Plasmacytoid dendritic cellsinterferon sensing
TLR7 ↑TLR9 ↑IRF7 ↑
NK cellseffector output
IFNG ↑
Two cell types, one coherent interferon signature.
Illustrative read. Not a specific patient.
The next step
→ The decision
Focus the workup on ANA, anti-dsDNA, complement and EBV/CMV serology.
Not a broad metabolic screen. The cells already say where the signal lives.
Illustrative read. Not a specific patient.
Peptide guardrailsUse case 2 of 3
The patient
Asking about immune-support peptides before the next cycle.
Feels run down. The practitioner is weighing LL-37, thymosin alpha-1 and a GLP-1 receptor agonist.
Illustrative read. Not a specific patient.
The standard panel
Complete blood count✓ In range
Metabolic panel✓ In range
CRP✓ In range
IGF-1✓ In range
Reads normal.
Illustrative read. Not a specific patient.
What CellWise reads
CD16 monocytesinterferon on
ISG15 ↑IFIT2 ↑IRF7 ↑
CD14 monocytesinflammasome on
IL1B ↑NLRP3 ↑CXCL8 ↑
Two programmes already switched on, read before a serum marker moves.
Illustrative read. Not a specific patient.
The next step
→ The decision
CautionLL-37, thymosin α-1
Strong matchGLP-1 receptor agonist
Hold the immune stimulants while interferon is on. The GLP-1 RA mechanism acts on the monocyte NF-κB and IL-1β state.
A prescribing pause you would want before the next cycle, then re-assay.
Illustrative read. Not a specific patient.
Fertility specificityUse case 3 of 3
The patient
A reproductive-health conversation with no clear immune picture.
The workup so far points nowhere in particular.
Illustrative read. Not a specific patient.
The standard panel
Complete blood count✓ In range
Hormone panel✓ In range
Thyroid (TSH)✓ In range
CRP✓ In range
Reads normal.
Illustrative read. Not a specific patient.
What CellWise reads
CD4 T cellsTh1 skew
IFNG ↑
NK cellscytotoxicity
PRF1 ↑GZMB ↑NKG7 ↑
The immune context behind the presentation, cell by cell.
Illustrative read. Not a specific patient.
The next step
→ The decision
Bring the immune context into the referral to a reproductive immunologist.
A specific conversation instead of a general one.
Illustrative read. Not a specific patient.
◆ Illustrative reads from simulated beta review, shown to demonstrate the platform's reasoning. Not from a specific patient.
Everything in the portal
Seven modules, one clinical workspace.
Health Analysis ReportIllustrative preview
SemaglutideGLP-1 receptor agonist · mapped with tirzepatide
Strong match
Cell stateInnate inflammation on, in CD14 monocytes
Genes4 move with the state, 1 against
PathwayNF-κB and IL-1β
MechanismLowered IL-1β and TNF in mononuclear cells in a randomised trial; pooled trials lower CRP. Human data
Check firstA recent infection or vaccine, or hard exercise before the draw
In line with the state
IL1B ↑CXCL8 ↑NLRP3 ↑TNF ↑
Moving against it
CCL2 ↓
Read in this patient's CD14 monocytes against people of the same sex in the reference set.
Mechanism: human dataResponse: CellWise prediction, not yet validated
Module 01
Health Analysis Report
The clinical home base: risk-rated health domains, immuno-metabolic phenotyping, and mechanism-based peptide pairing, each call traced from cell state to genes, pathway and mechanism.
Clinicians see
Each peptide call explained: the cell state, the genes moving with it and against it, the pathway, the evidence tier and what to check first.
Licensees get
Report templates in your brand, under co-brand or white-label.
Biomarker AnalyticsIllustrative preview
S100A12
IL1B
ISG15
CCR7
TCF7
PRF1
HSPA5
same-sex reference rangethis patient
Module 02
Biomarker Analytics
The quantitative, visual view of the patient's raw biomarker data, shown as a population-vs-patient overview.
Clinicians see
Every panel gene placed against the same-sex reference population, the outliers first.
Licensees get
The same views themed to your interface, or piped through the API.
Data ExplorerIllustrative preview
IL1B
Cell populationDirectionSignal
CD14 monocytes↑
CD16 monocytes↑
pDCs↑
CD4 T cells·
Module 03
Data Explorer
A filterable, gene-level interface over the patient's complete dataset, exposing the top cell populations carrying each signal.
Clinicians see
Filter by gene, cell type or direction and see which populations carry each signal.
Licensees get
Gene-level data your scientific team can query, not just a PDF.
Clinical Scenario SimulatorIllustrative preview
HypothesisWhat if this patient starts a GLP-1 receptor agonist?
Re-running against this patient's data
Inflammasome tone
Insulin signalling
Interferon response
Module 04
Clinical Scenario Simulator
Test a clinical hypothesis against the patient's own molecular data and re-run it in seconds.
Clinicians see
Pose a clinical hypothesis against the patient's own data and re-run it in seconds.
Licensees get
A consult tool that keeps clinicians working inside your platform.
Outcomes & MonitoringIllustrative preview
BaselineLoadingMaintenance
Peptide-specific labWearable trend (HRV)
Module 05
Outcomes & Monitoring
Assay-independent surveillance across dosing phases, peptide-specific labs, and wearable trends, with no repeat sequence required.
Clinicians see
Peptide-specific labs and wearable trends tracked across dosing phases, between screens.
Licensees get
A monitoring loop that brings patients back to your menu between draws.
Cellular Aging ProfileIllustrative preview
Immune agewhich compartments are aging fastest, and which hallmarks drive it
Three independent reviewers read the same donor in isolation, and converged on the same labs, the same contraindication, and the same candidacy call.
45→15 min
Chart prep on a complex patient, with 4–5 hours of clinical time recovered each week at 8–10 such patients.
$3–5k
Downstream testing avoided per complex patient by front-loading the mechanistic picture instead of iterating toward it.
21 days
From sample receipt at the sequencing lab to a finished report in the practitioner portal.
≥1
Contraindicated peptide prevented per complex patient, like GHRH analogs withheld in a hyper-inflammatory state.
2–3 hrs
Of practitioner synthesis replaced, a full literature review connecting expression to hypothesis to intervention.
8–12
Additional targeted lab orders surfaced that a standard annual panel would never have generated.
From the review room
What the reviewers kept coming back to.
“
It reads like a narrative, not a spreadsheet. The mechanism, the systems involved, and the next step arrive in one card, instead of an afternoon spent interpreting gene lists myself.
Concierge Longevity MD
Beta review
“
What sets it apart is that every finding comes with a decision attached: the specific lab to order or the compound to reconsider, not just another number to sit with.
Integrative Medicine NMD
Beta review
“
A conventional panel reads normal while the patient is still symptomatic. CellWise resolves which cells are dysregulated and why, which is a different level of resolution than anything I can order today.
Functional Medicine MD
Beta review
◆ Illustrative, not testimonial. These show the kind of read the report supports, drafted from clinician personas during beta design rather than quoted from named practitioners. Reviews from the founding pilot will replace them.
Baseline up to five patients, at the founding rate.
Join the founding pilot: up to five of your own patients at $1,800 each, 14% below the standard rate, invoiced only for the ones you send. Founding rates lock for twelve months if you go forward, and every pilot practice is a design partner with a say on what gets built. Open to the first fifty founding practices.
