Generate High Quality Training Data To Feed AI/ML Models 10x Faster
Problem
Data Governance 85 % of AI Projects
69% of firms report that they have not created a won’t deliver for CIOs
data-driven culture
- Gartner
Data Scope & Quality
23% said that their AI Projects Failed because of
a lack of necessary data
Unskilled Workforce
Only 18% tapped Unstructured Data such as
product images, customer audio files, or social media
comments in their analytics efforts
Vendor integration complexity
Only 21% of respondents report Embedding AI into
multiple business units or functions
As A Solution
Multi-Data
01 Multiple Data types annotation like 2D/3D Images,
Text, Audio, Video, Documents, etc
Cloud Integration
02 Deep learning APIs with cloud integrations
like Google AutoML, AWS
Sagemaker etc including Labellerr
Marketplace
03 Marketplace of Data Suppliers,
Annotators, Specialists
Companies and Individuals
Product
Text Entity
Extraction for NLP
Market Share
Image/Video - 48.8%
Document
Text/Document - 36%
Autonomous OCR
Vehicle
Speech to Audio - 15.2%
Text
Multi-Annotation & Drone / Satellite
Footage
Multi Data-Type Support
Market Size
Market Size for Annotation Software - 30% CAGR
400
350 $350.00
300
$265.00
250
Anotation
200 Deep Learning
$185.00
AI Market
150
$115.00
100
$60.00
50 $55.00 $40.00
$15.00 $25.00
$8.00 $1.30
$1.00 $1.75 $2.35 $3.00
0
Source: Reportlinker and GrandviewResearch
https://www.marketwatch.com/press-release/deep-learning-market-2020-2023-growth-emerging-trends-and-forecast-2020-08-19?mod=mw_quote_news
https://www.grandviewresearch.com/industry-analysis/artificial-intelligence-ai-market
https://www.globenewswire.com/news-release/2020/04/16/2017058/0/en/Data-Annotation-Tools-Market-to-2027-Global-Analysis-and-Forecasts-by-Type-
Annotation-Type-End-user.html
Competition Quadrant
Affordable (Cost Per Label)
Less Accuracy / Manual /
Automatic / Fast Results
Time Demanding
More Accuracy /
Expensive (Cost Per Label)
Labellerr - Advantages
ML Assisted Annotation Automated AI & ML
40% of the time goes in This overcomes challenge where
cleaning and preparing data. Unskilled AI workforce struggle by
Automating this reduces 4x Implementing Algorithms rather
effort while still human in the than focusing on the data analysis
loop and problem solving
Data Import & Export Data Analytics & BI
Cloud integrations with Plug Data analytics make decision making
n Play help AI teams gets started 5x Faster. Along with plug n play
in days than weeks by sync like analytics with major cloud vendors,
GCP, AWS, Azure, Dropbox, DTP, Labellerr also provides user level
API activity tracking
Data Governance & ETL Vendor Marketplace
Enabling better data AI Project requires a complete
usability while still maintaining Ecosystem like external datasets,
Data Security & Privacy extended team to annotate it along
enables better data driven culture with ML Consulting from those
who have done it before
WEBSITE VISITORS Traction
Daily visitors of 40 from 15 over last 30 days
Potential MRR in pipeline for Oct -Dec 2020 – 14K
USD with min MRR target of 10K USD by end of CUSTOMERS
Dec 2020
5 non paying customers
3 paid customers
1 current subscription customer
since alpha launch in Apr 2020
GOOGLE PERFORMANCE
Average position on Google - 39.5 over 44.5
CTR - 3.3% over 2.4%
MRR
Currently average MRR - approx.
2000 USD till Sept 2020
LINKEDIN PERFORMANCE
Impressions - 3.5K over 2.5K
Clicks - 112 over 62
Till 2020
300 unique visitors with 445% in last 30 days
6.6k post impressions with 368% in last 30 days
Revenue Model
2000000 2000000
2020 1800000
Revenue will be light in our first years as we will focus our 1600000
efforts on building a quality and scalable platform.
1400000
2021 1200000
Our model assumes monthly growth of 1000000
10% throughout the first few years.
800000 700000
600000 500000
2022
400000
From year 3 we expect to benefit from
scale and increase revenue significantly. 200000 100000
10000 0
0
2020 2021 2022
User-Based Product License Fee starts from Q4 FY(19-20) Without Funding With Funding
Investment Ask
USD 1 Million
Target 100 customers over 15 months with
80% mid-sized companies Product
Development
Sales &
Engineering, UX, AI are main pillars of Marketing
investment
If organic - MRR 10k USD in 18 months
If funded (1M USD - 18 months) - MRR
100k USD in 12 months
Options to weigh in after 18 months:-
Next raise
Acquisition Administration Manpower Sales & Marketing Product Development
Buyback
