Photo - Predicell
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Predicell

IOT-based AI powered data driven care path simulator

Finland
Market: Insurance, Services, Gadgets , Artificial Intelligence
Stage of the project: Prototype or product is ready

Date of last change: 04.06.2020
Min investment
$  1.000.000
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Total required
$ 6.000
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Idea

End-user provides Mydata from sensors. This data is transferred back to care suggestions for care professionals as output of Predicell process.

Current Status

Data storage, integrations and analytic components ready for scale up.
Two on-going projects in Finland among public healthcare Service providers.
Professional users ~20 from physicians to nurses.
Partnerships and integration to global players of end-user devices/sensors.
Revenue started from 01/2020, Growth rate +1000%.

Market

Public&private healthcare Service providers.
Biohacking individuals as B2C segment. Targeted in co-op with already existing B2C solution provider - in-progress.
Market size only in Finland 25bn€.

Problem or Opportunity

People over 65 will double by 2050


Chronic deseases increases rapidly – €115bn cost annually (www.chrodis.eu)
Increases care demand heavily, +10% annual increase

80% costs used for healthcare are appointed to treat chronic diseases, 3% for preventive actions.

Societies are not able to carry this challenge without going to preventive care path designing where Predicell´s core is.

Solution (product or service)

40% less un-necessery visits at emergency equals to 72,4M€ savings
11% less primary level doctor appointments equals to 56,1M€ savings
Net impact. Some deseases came visible and unbalance of the care found

50% reported value adding time available at the home care visit
Improved resources efficiency

Use case example: Hertha Heart failure
Hertha´s care is imbalanced and she visits at the emergency after two weeks. One visit costs approx 10k€ when Hertha has been appointed to ward for follow-up.

Competitors

Since competing from the healthcare budgets whole healthcare system seeing as a competitor.
From the solution/Service perspective existing remote monitoring Service providers, "one shot" health AI/application providers.

Advantages or differentiators

World class team, IPRs related to algrhithms and platform, capabilities to suppor change needed among care providers.

Finance

Revenue streams:
1) Consulting - Data driven care organization assesment - one time fee
2) Predicell Service as a Service / monthly fee based on population of patients/customers providing data into the Service
3) Change management/stickness Consulting - One time fee

Business model

As a Service based on monthly fees by end-users providing data.
Invoiced entity is care provider not consumer.
End customer recruitment channel is care provider.
Predicell sold to those as direct sales.
B2C by partner attractive among consumer segments.

Metrics:
#end users
# professional users
#monthly rev./care provider
profit / care provider and/or partner

Money will be spent on

Service development, to pass CE2A certification and to get FDA approval to US market.

Offer for investor

Will be share along the negotiations.

Team or Management

Risks

Too slow development cycles. End-user recruitment not directly at own hands. Mitigated by close co-operation with care providers during the projects.

Incubation/Acceleration programs accomplishment

-

Won the competition and other awards

One of the most potential growth Company from Finnish capital area, https://www.predicell.com/26-5-2020-predicell-selected-as-most-potential-growth-company-by-kasvupolku-capital-area-competition/

Photos

Photo 1 - IOT-based AI powered data driven care path simulator
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Idea
Current Status
Market
Problem or Opportunity
Solution (product or service)
Competitors
Advantages or differentiators
Finance
Invested in previous rounds, $
Business model
Money will be spent on
Offer for investor
Team or Management
Mentors & Advisors
Lead investor
Risks
Incubation/Acceleration programs accomplishment
Won the competition and other awards
Invention/Patent
Photos
Product Video