EY Healthcare Europe

Mojo Fertility

Mojo Fertility had built AI-based sperm-testing technology, but traditional lab testing was still slow, inaccessible and inaccurate for many consumers, and the company needed a way to make testing easier to adopt and easier to deliver safely outside the clinic.

180 million aspiring parents experience fertility issues every year
95% accuracy
just six months
less than 1% of the global population currently has access to fertility care

Reported impact

Business outcome

Mojo made fertility testing more accessible, more marketable and easier to scale by combining AI-based analysis with a home-testing experience, faster logistics and a stronger route to consumers and clinics.

  • Customer Experience
  • Scalability
  • Speed to Market

Solution

Mojo Fertility worked with EY teams to extend its AI-based sperm analysis technology into a direct-to-consumer service. Mojo's core technology counts sperm with high accuracy and computes sperm count, motility and DNA integrity, but the broader challenge was operationalizing that capability for consumers and clinics. EY researched target audiences, repositioned the value proposition around men's health data, and designed the Mojo Home Kit so users could collect samples at home and send them to the lab quickly. The solution combined the AI testing capability with a digitally coordinated pickup experience, packaging built to keep samples viable and a service flow that made the lab process simpler for end users. By pairing AI-based analysis with product design, logistics and a targeted launch campaign, Mojo turned a specialized diagnostic workflow into a more scalable customer experience.

Data flow

Users collect a sample with the Mojo Home Kit and collection flask, then the digital platform triggers rapid pickup and transport to the lab. Once received, Mojo's AI-based testing computes sperm count, motility and DNA integrity so results can be returned through the service flow without the manual counting bottleneck of traditional testing.

Solution architecture

4 components · 3 layers
  1. Ingest
    • Mojo Home Kit Lets users collect samples at home and connect them to the lab testing workflow.
    • collection flask Keeps samples viable long enough for medically secure transport from the home to the lab.
  2. Compute
    • AI-based technology Analyzes sperm samples to compute count, motility and DNA integrity with greater accuracy than manual lab counting.
  3. Orchestration
    • digital platform Coordinates seamless and immediate sample pickup so the home-collection workflow can operate reliably.

Architecture clues

  • Mojo's AI system computes sperm count, motility and DNA integrity rather than only a manual count.
  • Packaging was designed to preserve low temperatures without adding mechanical complexity to the kit.
  • The service was launched online in Sweden and through pharmacies in London.
  • The solution joined AI-based sperm analysis with a digitally coordinated pickup and home-testing flow.

Evidence from the source

"Since then, the valuation of the company has doubled."
"The EY team also deployed services, including visual identity, packaging design, digital product design, customer experience and copywriting."
"The EY team took the home-testing kit from concept to public launch in just six months."
"The Mojo Home Kit is a home testing kit where men can collect a sample and ship it directly to the lab for testing."
"The company created a new piece of AI-based technology that can count sperm with 95% accuracy and compute sperm count, sperm motility and the integrity of the sperm's DNA."
Transparency Evidence & methodology 100/100 reference value · 88% confidence · 2 sources

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value100/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth25/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact25/25
    4 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence88%
  • Source authority25/25
    The deployment is described by the adopting organization or a government source.
  • Claim traceability23/25
    11 of 12 key fields link to a named source.
  • Direct evidence20/20
    5 direct source quotes retained.
  • Date provenance0/10
    The publication date has no documented provenance.
  • Source transparency10/10
    2 source references document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. EY

    How Mojo Fertility is helping more men conceive | EY - Global

    First-party
    https://www.ey.com/en_gl/insights/consulting/how-mojo-fertility-is-helping-more-men-conceive
    Source type
    Vendor-published customer story
    Supports
    • Customer
    • Industry
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • Business outcome
    • Metrics
    • Architecture
    • evidence quotes
  2. Companies House

    MOJO_FERTILITY_LTD - Accounts

    Government
    https://find-and-update.company-information.service.gov.uk/company/13872855/filing-history/MzQ1MzAwNDgxOWFkaXF6a2N4/document?format=xhtml&download=1

    The average number of persons, including directors, employed by the company during the year was as follows: 2024 Number Employees 1.

    Source type
    Government regulatory filing
    Supports
    • Company size

Date evidence

  • First archived Apr 12, 2024 · Internet Archive · Independent First Wayback Machine capture; confirms the page existed by this date, not when it was published.
    Open date source
Not separately sourced Region. Treat these normalized attributes as lower-confidence until a dedicated source is added.