play_arrow
View
20438

Cooperative Intelligence

Russia, Moscow region
Market: Internet and IT
Stage of the project: Operating business

Date of last change: 08.07.2017
Min investment
$  50.000
1
Total required
$ 250.000
Rating
equalizer 381 из 1000
help
Calculated and estimated occupancy of the project (more about ratings)
My rating
1
2
3
4
5
6
7
8
9
10
Average rating:

Idea

One-stop shop for Machine Intelligence, where you may find the best AI services for your task, evaluate them on your data and access any provider via the Single API.

Current Status

The product is operational, the first pilots are running, the first checks are received from clients.

Market

1. SME - to find the best price/quality deals on AI services and integrate with no effort
2. Large Enterprises - to match in-house development with 3rd party alternatives

Top-down:
- AI as a Service market $5.6Bn in 2016, to 13.1Bn in 2020
- Machine Translation market $0.4Bn in 2016, to 0.8Bn in 2020
- NLP/NLU market $4Bn in 2017, to $6.4Bn in 2020
- Image Recognition market $16Bn in 2016, to $32.5Bn in 2020
- Voice Analysis market $4.0Bn in 2016, to $12.1 in 2020

Problem or Opportunity

Cloud AI services is a deeply fragmented market where vendor-based discovery prevails. The main reasons are:
- lack of discovery services beyond search engines,
- non-uniform delivery among providers (lots of different APIs),
- expensive performance comparison (lots of contracts to sign and code to write to compare the performance),
- non-transparent pricing (lots of different service packages and pricing models).
All these results in up to 10x difference in pricing for the comparable services.

Solution (product or service)

For each service category, the product provides (1) a uniform endpoint that packages
services into equal units and regularly updated (2) quality score and (3) estimated unit pricing per provider. We buy services in bulk from providers and resell to our clients with 10-15% margin (at the price equal to what providers ask for direct integration). We take a small fee for using our Single API (5-10% of the whole spending). Also, we earn on evaluating AI providers on the clients' data.

Competitors

Big AI silos (IBM Watson, Microsoft Cognitive Services, etc)

Advantages or differentiators

About the same price as from direct integrations with service providers, up-to-date information on the best deals on the market, ability to switch instantly to any provider, just one integration to access all the providers.

Finance

1. Service evaluation - 80% contribution margin
2. Single API - 25% contribution margin

The pricing is currently custom, we aim to have $1500/momth of net revenues per client, $6M net revenue in 2018, $24M net revenue in 2019

Business model

We take a service fee to evaluate all AI providers on our clients' data, then we resell AI Cloud Services with ~24% margin (mostly goes from the discount owe have from service providers)

Money will be spent on

Sales (~1000 potential clients in the pipeline), adding more AI verticals (already requested by the existing pilot clients)

Offer for investor

need to discuss on a meeting

Risks

Edge computing, when cloud services are not used in favor of services running on devices.

Invention/Patent

US Patent Pending "Intent-based organisation of APIs"
Comments:

You need to login

5,00
1
2
3
4
5
1 voice
arrow_back
EN
more_horiz
close
visibility468
star0
Add to favorites
Delete from favorites
share
close
thumb_up0
Like
Unlike
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
Product Video