Company Profile LeapMind Inc. / Careers-short(EN)

1
Company Introduction
2022.07

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To create innovative devices
with machine learning
and make them available everywhere
MISSION
2
Mission/Vision
To provide key technologies to bring
next-generation information devices
into reality
VISION

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Confidential: Internal 3
Since its inception, we are providing services and products
that are unique to the practical application of machine learning.
From LeapMind's Inception to the Present
Practical
applications of
machine learning
technology
Joint Development Operation
Extremely low bit quantization
Commercial
IP
OSS
2012 inception 2018 2019 2020
Embedded DL
development web service
1. Business&Technology

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Features of LeapMind
● Focus on low-power edge deep learning
● Technology using quantization technology and embedded in products
with dedicated circuitry.
AI
Machine Learning
Neural Network
Deep Learning
Edge Deep Learning

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Issues of DL Environment and Features of Edge Devices
Issues with
Cloud Computing
Issues with
GPU
Embedding
FPGA・ASIC
Constant internet connection is
not required
Cheap device unit price
Fast response
Low power consumption
High device unit price
High power consumption
Requires the internet
Slow response
High usage fee

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Confidential: Internal
Advantages and Issues of Edge Deep Learning
● Independent from bandwidth, latency
and reliability of Internet connection
● Reduces security risks as no
external transmission is required
● Reduces costs of uploading data and
using cloud
6
Advantages Issues
● Computational resources such as
processing capability and power
available on the device are limited.
● With limited computational
resources, there is a trade-off
between the amount of computation
and the processing speed of
inference.

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Strengths and Core Technologies of LeapMind
Ultra low power AI
inference accelerator IP
Efficiera
Knowledge
gained from many projects
&
support system
We are developing our business with our original weight reduction technology for deep learning models,
the dedicated circuit design and leveraging the knowledge gained from collaboration with more than 150 companies.
Quantization
technology
in deep learning

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8
The Core Technology of LM [Extremely Low Bit Quantization]
One of the methods of weight reduction for deep learning models,
"quantization" that has been pushed to the limit.
It leads to solutions for edge deep learning issues such as computational complexity.
● Extreme quantization reduces logic and
memory usage.
● Channel doubling technique can recover
accuracy.

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9
LeapMind's deep insight about deep learning
Since the beginning of edge AI era, we have focused our hardware and software research efforts into model
weight reduction, dedicated circuit design, and building the knowledge needed to deliver full-package
solutions.
Efficiera offers excellent power efficiency and space efficiency, which contributes to power saving
and cost reduction of AI-equipped products.
Features of Efficiera and Examples of Business Development
Energy Efficient High
Performance
Small Footprint Scalable
By minimizing the volume of
data transmitted and the
number of bits, the power
required for convolution
operations is reduced.
By reducing the arithmetic
logic complexity, the number of
operation cycles is reduced
and the arithmetic capacity per
area/clock rate is improved.
By minimizing the number of
operated bits, the circuit area
and SRAM size per arithmetic
logic unit are minimized.
Since the computing performance
can be fine-tuned by adjusting the
circuit configuration, it is possible
to optimize the configuration and
maximize the performance of
Efficiera according to the task
being performed.

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FPGA
Benefits Efficiera Brings
ASIC/ASSP
It contributes to reducing the BoM cost of
products with AI functions by integrating Efficiera
on the same SoC FPGA device as the CPU and
image input circuit
Contributing to the reduction of device
development costs by achieving practical
arithmetic capacity without using advanced
semiconductor manufacturing processes such as
5nm and 7nm
The most suitable for adding AI capabilities to
existing image processing FPGA designs
It is able to build AI solutions by training custom
data sets based on Efficiera-optimized pre-trained
models
Since RTL can be implemented using only
standard cell libraries and memory, it can be
used for many device designs.
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Achieved 27.7 TOP/W of computing power in
12nm process *Measurement in development prototype

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1–2 TOP/s 4–8 TOP/s 8–12 TOP/s 40–50 TOP/s
By adjusting computing efficiency and CPU occupancy rate by selecting circuit configurations, it can cover
not only image recognition tasks, such as object detection, but also the real-time processing of resolution
improvement tasks that require a much higher performance range, such as super resolution.
Efficiera Performance Scalability
Proximity Hazard Detection
Human detection
Dashcam detection
Improvement of image quality of
photographed images
Anomaly detection
Improvement of image quality of
recorded images + Detection
>100 TOP/s
Efficiera 1
Processing
complexity
Efficiera 2

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Recent Initiatives
● 03/25/2022　LeapMind Collaborates on Project to Accelerate Development of AI Chips
through Industry-Government-Academia Collaboration
● 02/22/2022　【Press Release】LeapMind announces license agreement for AI accelerator
“Efficiera” with Maxell Frontier
● 01/31/2022　【Press release】LeapMind Announces AI Image processing model which
operates on edge devices
● 11/30/2021　LeapMind Announces Efficiera v2 Ultra-Low Power AI Inference Accelerator
IP
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Current Initiatives and Future Plans
2. Issues and Solutions
We released Efficiera 1.0 in October 2020, 2.0 in 2021, and are currently working on
Efficiera 3.0 and developing models to meet the needs of our customers. We still have
many more things we would like to accomplish to solve social issues in the future. We
are looking for talented people who are willing to take on challenges with us!

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Engine
er
Resear
cher
Busines
s
develop
ment
Back
office
● 60% of members are engineers
Engineer
Business
development
Back office
● Flex system and flexible work style
● Close relationship between board
member and employees.
1
3
● Members come from 7 countries
● English and Japanese is used interchangeably, and
meetings are often in English
● Female employees play active roles at every layer and
the positions of the organization including managers and
engineers.
Tech venture Diversity Flexibility
Office
Japan
England
Malaysia
Taiwan
Thailand
Vietnam
China
3. Culture, System&compensation
Culture at LeapMind
Engineer
Business
development
Back office

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14
Job Type Breakdown ・Accelerator engineer
・Compiler engineer
・Verification engineer
・Embedded engineer
・Software engineer
・Quality Assurance
・Project Manager
・Machine learning engineer
・Sales
・Biz dev
・PR/Marketing
・Corporate planning
・Intellectual property
・People operations
We have experts in each field, from software to hardware

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Office
Remote work
● We have an in-house server room and a hardware
work area for working with the infrastructure.
● The communication area has a refrigerator,
microwave, and free coffee and water servers.
Beverages from vending machines are available for
purchase at company prices.
● The office area is free-address with different
equipments depending on the seating.
● Dual displays, USB-C monitors, and 30-inch
displays
● Baron chairs
● High desks and elevating desks
● Remote work from within Japan is available.
Currently, more than 80% of our members work
from home.
● We use Google Meet and Slack for business
communication and meetings.
● Full flexible work hours with no core hours.
● A monthly remote work allowance of ¥5,000
allows you to set up your working environment
at home.
● Some office equipment, such as displays, can be
rented.
● Meetings, 1on1, and company-wide meetings are
also held online.
Work Style and Environment
● Our technology of Extremely low bit quantization and optimization to the edge device is an
advantage that no other company has.
● There are only a few AI start-ups in Japan that have experts in all fields of SW, model building, HW,
and embedded systems.
● An environment where each expert in their field can learn from each other and grow together.

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HackDays
The biggest event at LeapMind is HackDays, where we stop our regular work for a long time and hold
HackDays.
This is an event where we use our knowledge and everything in the company to hack various things, such
as developing stuff we like, challenging things we have wanted to try, and working as a team with people
from different teams. Some of the products from this event have been commercialized, making it an event
where people take their projects seriously and have fun.
More information about HackDays can be found on our blog.
Office Hour
Employee-sponsored study sessions where they can learn about deep learning and other various topics
with in-house experts
Tech Blog
Technical blog updated by LeapMind's engineers on a rotating basis.
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エンジニアの環境

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17
Basic Policy for Human Resources
Career Growth
To appropriately evaluate the members' abilities
and competencies in accordance with LeapMind's
standards, and lead to their career growth
(≒ organization / company growth)
3-2, System&compensation

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About Evaluation
・Evaluation is conducted twice a year. Salary is revised and bonuses are paid twice a
year (bonuses are based on performance and results).
・Weekly 1on1 is highly encouraged. Receive feedback from managers.
Set a goal
Scope
involve members who
work with you while
building trusted
relations
Communi
cation
with expertise skills
Skill
by forwarding project
Autonomy
Leadership
give results
Impact
Five items are evaluated according to the three job types.
LeapMind Expectations

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Job Level and Compensation
The job level is determined according to each job type's skill level (skills and competencies).
Salary bands are established for each job type, and monthly salaries and bonuses are determined based on the results of evaluations.
Annual income range
L2
Individual Contributor (IC)
L3)
Individual Contributor (IC
Professional
Management
L1
Individual Contributor (IC)
L5
Manager
L6
Manager
L5
Professional
L6
Professional
L4
Manager
L4
Professional
Job Lebel
skill
add on

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20
Corporate Profile
4. About LeapMind
Company
Established
Capital
Main Investors
Employees
LeapMind Inc.
2012.12.25
2,587 million yen (Including capital reserver)
(As of March 31 2020)
Itochu Technology Ventures, Intel Capital, Mitsui &
Co., Ltd., Toyota Motor Corporation, SBI
40
As a Series C
About 3.5 billion JPY of funds raised
2019.10
2020.4 Keynote speaker at COOL Chips23
Ultra low power AI inference accelerator IP
official launch「Efficiera®」for commerce
10
2012.12 Established LeapMind Corporation
(formerly AddQuality Corporation)
DeLTA-Lite released, "DeLTA-Project"
announced
2018.4
Launch of the Efficiera FPGA Partner Program
Blueoil, a software stack for quantization neural
networks, released as open source software
12

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Board Member
CEO
Soichi Matsuda
In 2011, he launched a matching service for engineers and clients based on engineering skill
visualization, which was expanded to Singapore, and got his business acquired. He founded LeapMind
to create a platform of "compact and simple" deep learning technologies that is easily accessible to
anyone, thereby contributing to our society and advancing the world.
CTO
Hiroyuki Tokunaga
He completed his master's program at the University of Tokyo Graduate School of Information
Science and Engineering in 2007.
Prior to becoming a Director and the CTO of LeapMind in 2018, he worked for Yahoo Japan
Corporation, Preferred Infrastructure, Inc., and Smart News, Inc.

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Cumulative total of funds raised: approx. 5 billion yen
As a Series B
Oct.2017
As a Series A
Aug.2016
As a Series C
Oct.2019
ITOCHU Technology Ventures, Inc.
Visionnaire Ventures Fund
Archetype Ventures
Intel Capital
GMO VenturePartners, Inc.
NTT DATA Corporation
Innovative Venture Fund Investment Limited Partnership
ITOCHU Technology Ventures, Inc.
Visionnaire Ventures Fund
Archetype Ventures
Aioi Nissay Dowa Insurance Co., Ltd.
SBI Investment Co., Ltd.
Toyota Motor Corporation
MITSUI & CO., LTD.
3.5 billion JPY
LeapMind has raised a total of approximately 5 billion yen in funding to date.
About
1.15 billion JPY
About
340 million JPY
About

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More than 150 AI co-development projects
and more
LeapMind has a track record of more than 150 AI co-development projects
using edge machine learning technologies.

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From time to time, we consider introducing a new system depending on phases!
1 on 1
We conduct individual meetings to encourage
open communication and to support employee
growth
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At LeapMind, we are working on creating a system to support employees’ various work-styles
Work Style
Flexible work-styles such as flex system, remote
work, and "refresh" leave
Free Drinks
Mineral water and coffee on the house
Development Environment
Support to improve the development
environment, such as the supply of 4K monitors,
laptops and high-back chairs
Education Support
Support for necessary expenses to improve
skills, such as for taking Coursera courses and
purchasing books
Office Event
Social gatherings and barbecues to share
information and invigorate communication
among all employees
Benefits and System
Welcome Japan Package
We provide a Welcome Japan Package to
improve the employee experience to support
those who are coming from abroad to join
LeapMind
Holiday and Vacation
System of two days off a week (Sat・Sun), National Holidays, Dates determined by company（New
Year's holidays, etc）, Paid vacation（5 days granted after 3 months of employment, 5 more days after
6 months of employment）, Special holidays（Congratulation or condolence leave：Marriage, Spouse’s
birth, condolence leave), Refreshment leave, etc.

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We have created an environment where everyone can work equally
regardless of age, gender, nationality, or race.
We, at LeapMind, want to work with someone who wants to make the most of their abilities and skills
and also who can respect diversity.
Our backgrounds aside, we all share a common goal.
To create innovative devices with machine learning
and make them available everywhere
We are doing the most exciting things right now at LeapMind.
Would you like to join us in achieving LeapMind’s vision?
25

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Engineer Selection Process
Document
Screening
Coding
Interview
&
Hiring
manager
interview
（1~2times）
1
Executive
interviews
Hiring
Committee
Job offer
Coding
test
All interviews are conducted online.
(Office tours are available upon request)
We may request reference
checks before making an offer.
The number of selection sessions is subject to change.
Case studies may be conducted depending on the position.
Interviews are generally conducted only online.
We have a relocation support plan (Welcome Japan Package) for international personnel and welcome new employees from overseas.
The timing of joining the company will be flexibly adjusted according to the status of COVID-19 measures in each country.

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We provide a Welcome Japan Package to improve the employee experience to support those who
are coming from abroad to join LeapMind
Partial support in obtaining a work visa in
Japan
Partial expense covered for those moving
from abroad
Online interviews for those who live far away
English support channel for personal inquiries
Internal materials are written in both English
and Japanese
Full expenses covered for Japanese Language
Proficiency Test JLPT (N1, 2)
Aあ
Welcome Japan Package

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WE’RE HIRING
https://leapmind.io/
https://leapmind.io/careers/
https://techblog.leapmind.io/
https://www.wantedly.com/companies/leapmind
https://www.linkedin.com/company/leapmind-inc/
https://jobs.atcoder.jp/offers/list?f.CompanyScreenName=leapmind
Official Page
Careers
Tech Blog
Wantedly
Linkedin
AtCoder
@leapmind_inc https://www.facebook.com/leapmind.io/
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Company Profile LeapMind Inc. / Careers-short(EN)

Company Profile LeapMind Inc. / Careers-short(EN)

LeapMind Inc.

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