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Your AI assistant

Problem

Knowledge workers spend 2.5 hours a day just searching for information. That’s 30% of each day at work. And still they feel left behind.

Mission

To turn knowledge workers into instant field experts with a behind the scenes AI assistant searching the web while they are busy working.

Status

Pre-revenue proof-of-concept: Customer Promise, Product Deliverability, Revenue Model.

Market size and share

Addressable market of 1 billion knowledge workers globally (developed markets in US, Europe and Asia). 1:100,000 market share (100,000 subscribing customers) in 3 years to 1:1,000 (1,000,000) in 5 years.

Customer segments

Three-step core market segment approach:

(1) Consultants providing field expertise to clients.
(2) Academics trying to keep up with their field.
(3) Any knowledge worker.

Value proposition

A behind the scenes AI assistant searching the web while you are busy working. Giving you subtle heads up of the best content and entities (people/organizations) within the scope of what you are working on. An app for download to PC/Mac/iPad.

Channels

PR, word-of-mouth, and social media campaigns.

Online order/subscription self-management.

Consultancy direct sales campaigns.

Academics special institutional pricing campaigns.

Customer relationships

Subscription self-service start/pause/stop.

One click away customer service: Ask us anything hour. Live online chat customer service.

Revenue streams

One price subscription monthly fee at <$19/month. 3 year target is $2 million monthly recurring revenue (from full launch) growing to $20 million in 5 years.

Key resources

App development and versioning.

AI infrastructure and development.

Key partnerships

Consultancy endorsements: McKinsey + Accenture + BCG.

Academic endorsements: Harvard, IIT, Cal-Tech.

Google/IBM Watson, other.

Cost structure

UX/UI and Tech Development team OpEx.

Marketing/Sales team OpEx.

Tech infrastructure OpEx and CapEx.

Professor Watson Team

These heroes developed and proved Professor Watson’s Customer Promise, Product Deliverability, and Revenue Model.

#045 Ryszard Rzepa
Customer Developer

#047 Akshay Shah
Product Developer

Kai Fordelsen
Innovator

Vidar Isaksen
Innovator

NEXT STEPS:

As a Moonwalk company, this startup is developed in 100 days stages from conception to growth.

100 Days Pilot Plan (in progress)

Minimum Viable Product: Prototype (one that works to unsupported showcase the customer experience).

Minimum Viable Market: Close to home first customers (presales).

Minimum Viable Team: Two to three people to cover Customer promise/sales and Product development/delivery.

Minimum Viable Investment: Just Operating Expenses (time/prototype cost) of kr 500,000 ($62,500).

100 Days Launch Plan (later stage)

Series 0 production roadmap and products. 

Sell to first 100 customers. 

Team of customer developer, product & delivery developer, and revenue model developer.

Minimum CapEx investment.

Join us

Professor Watson is a stellar company improving 1 billion lives. Invest directly in the next stages of Professor Watson’s development or through a de-risked portfolio of Moonwalk Learning startups.