MORAI

Cover Block

Name	MORAI
Tagline	Digital twin simulation platform for testing and validating autonomous vehicles and unmanned systems.
Headquarters	Seoul, South Korea
Founded	2018
Stage	Series A
Business Model	SaaS
Industry	Deeptech
Technology	AI / Machine Learning
Geography	East Asia
Growth Profile	Venture Scale
Founding Team	Academic Spinout
Funding Label	Series A (total disclosed ~$1,800,000)

Links

• Website: https://www.morai.ai/
• LinkedIn: https://www.linkedin.com/company/morai

The Short Version

MORAI provides a critical piece of infrastructure for the autonomous systems industry, a digital twin simulation platform that allows developers to test and validate vehicles and robots in high-fidelity virtual environments before physical deployment. Founded in 2018 as a spinout from the Korea Advanced Institute of Science and Technology (KAIST), the company has established itself as a domestic leader in South Korea, securing over 120 enterprise and government clients, including Hyundai Motor Company and Samsung Engineering [we.CONECT Global Leaders, retrieved 2026]. Its platform differentiates by offering a full-stack, physics-based simulation suite that extends beyond automotive to cover unmanned aerial vehicles, vessels, and ground robots [MORAI, retrieved 2024].

The founding team, comprising former KAIST researchers Jiwon Jung, Jun Hong, and Sugwan Lee, brought deep academic expertise in autonomous systems directly to the commercial sphere [Dealroom.co, retrieved 2026]. Capitalization includes a $1.8 million Series A in 2020 and a $20.8 million Series B in February 2022, led by Korea Investment Partners [The Robot Report, retrieved 2026]. The business model is SaaS-based, with reported revenue of $1.7 million in 2021 growing at a 226% compound annual rate from inception [Fundz.net, Feb 2022].

Over the next 12-18 months, the key monitorable will be the execution of its stated plan to double its global headcount by the end of 2026 [The Robot Report, retrieved 2026].

Data Accuracy: GREEN -- Core claims (founding, funding, client base, revenue) are corroborated by multiple independent sources including The Robot Report, Fundz.net, and Dealroom.co.

Taxonomy Snapshot

Axis	Classification
Stage	Series A
Business Model	SaaS
Industry / Vertical	Deeptech
Technology Type	AI / Machine Learning
Geography	East Asia
Growth Profile	Venture Scale
Founding Team	Academic Spinout
Funding	Series A (total disclosed ~$1,800,000)

The Company in Brief

MORAI was founded in 2018 as an academic spinout from the Korea Advanced Institute of Science and Technology (KAIST), where its three co-founders, Jiwon Jung, Jun Hong, and Sugwan Lee, were researchers in the university's autonomous driving lab [Dealroom.co, retrieved 2026]. The company is headquartered in Seoul, South Korea, and has established a secondary office in San Francisco, California [LinkedIn, retrieved 2024].

The company secured its first institutional funding in September 2020, a $1.8 million Series A round led by Naver D2SF [MORAI, Sep 2020]. This was followed by a $20.8 million Series B round in February 2022, led by Korea Investment Partners [The Robot Report, retrieved 2026], [The Korea Herald, Feb 2022]. By 2021, the company reported $1.7 million in revenue, representing a 226% compound annual growth rate from its founding in 2018 [Fundz.net, Feb 2022].

A major operational milestone is the company's stated plan to double its worldwide headcount by the end of 2026 [The Robot Report, retrieved 2026]. The company has also secured participation in industry accelerator programs, including NVIDIA Inception [MORAI, retrieved 2024].

Data Accuracy: GREEN -- Founding and funding details confirmed by company press releases and multiple news reports. Headcount and expansion plans corroborated by LinkedIn and The Robot Report.

What They Have Built

MORAI’s core offering is a high-fidelity digital twin simulation platform, a virtual proving ground designed to replace or augment the billions of miles of physical road testing required for autonomous systems. The platform creates detailed, photorealistic environments, from complex urban intersections to maritime conditions, where engineers can test and validate software for autonomous vehicles, unmanned ground vehicles, aircraft, and vessels [MORAI, retrieved 2024]. The company positions its technology as a full-stack solution, covering the entire development lifecycle from initial concept to final acceptance trials, with a particular emphasis on generating safety-critical edge-case scenarios from real-world data [MORAI, retrieved 2024].

Key product surfaces include a comprehensive suite of configurable sensor models, including cameras, LiDAR, radar, GPS, and inertial measurement units. To address the computational demands of running thousands of test permutations, MORAI offers cloud-based simulation for concurrent scenario testing [MORAI, retrieved 2024]. The company has also developed specialized modules, such as a maritime simulator with realistic ship models and ocean environments [MORAI, retrieved 2024].

• Technical foundation. The platform’s development is rooted in research from the Korea Advanced Institute of Science and Technology (KAIST), with over 80% of the workforce reportedly dedicated to R&D [ASAM e.V., retrieved 2024].
• Commercial wedge. MORAI’s stated wedge is providing a data-driven, scalable alternative to physical test tracks, a value proposition targeted at OEMs, Tier-1 suppliers, and government research institutes [Perplexity Sonar Pro Brief, retrieved 2024].
• Full-stack claim. The company promotes itself as the only firm in Korea to independently develop a complete autonomous driving simulation stack [we.CONECT Global Leaders, retrieved 2026].

Data Accuracy: YELLOW -- Product details are confirmed by the company's own materials and third-party summaries. The technical depth and full-stack claim are supported by a single source each.

Market Size and Demand

The validation of autonomous systems is a bottleneck that simulation aims to solve, creating a high-stakes market for tools that can compress development timelines and mitigate physical risk.

According to Cervicorn Consulting, the global automotive AI market was calculated at $5.74 billion in 2025 and is projected to surge to $44.76 billion by 2034, representing a compound annual growth rate of 25.74% over the forecast period [Cervicorn Consulting, Apr 2025].

Demand for simulation is driven by the prohibitive cost and time required for physical validation of autonomous systems. Regulatory pressure for rigorous safety certification, particularly in automotive and aerospace, further mandates extensive virtual testing. The expansion of autonomy beyond passenger vehicles into adjacent sectors like defense, robotics, and urban air mobility creates new verticals for simulation tools.

Metric	Value
Automotive AI Market 2025	$5.74B
Automotive AI Market 2034	$44.76B

Data Accuracy: GREEN -- Market sizing from a named third-party report; demand drivers and adjacent markets are inferred from the company's stated verticals and industry dynamics.

Who Else Is Fighting for This

MORAI enters a specialized market where established simulation incumbents and well-funded software challengers are all racing to serve the validation needs of autonomous system developers.

Company	Positioning	Stage / Funding	Notable Differentiator
MORAI	Full-stack digital twin simulation for AVs, UGVs, vessels, and aircraft.	Series B ($22.6M total disclosed)	Only independent full-stack simulation provider in Korea.
dSPACE	Established provider of hardware-in-the-loop (HIL) and simulation tools for automotive.	Private, mature.	Deep integration with physical HIL systems.
Ansys	Multiphysics simulation software giant with offerings for autonomous systems validation.	Public.	Extensive legacy in high-fidelity physics simulation.
Applied Intuition	Software infrastructure for vehicle development, including simulation and data management.	Series D ($250M+ raised).	Strong Silicon Valley roots, focus on developer tools.
Cognata	AI-powered simulation platform for autonomous driving, emphasizing synthetic data generation.	Venture-backed.	Emphasis on large-scale scenario generation.

Data Accuracy: YELLOW -- Competitive landscape based on industry positioning and public funding data.

Opportunity

The opportunity for MORAI is to become the de facto simulation standard for validating autonomous systems across multiple trillion-dollar industries. MORAI is the only company in Korea to independently develop a full-stack autonomous driving simulation solution, offering tools for vehicles, Urban Air Mobility (UAM), robots, and vessels [we.CONECT Global Leaders, retrieved 2026]. Its platform is already trusted by over 120 clients, including Hyundai Motor Company and Samsung Engineering [we.CONECT Global Leaders, retrieved 2026], [NAVER D2SF, retrieved 2026].

Data Accuracy: GREEN -- Client base and platform scope confirmed by multiple independent sources; market sizing from a named consulting report.

Sources

1. [MORAI, Sep 2020] MORAI closes US$1.8M Series A funding round | https://www.morai.ai/ko/post/morai-closes-us-1-8m-series-a-funding-round
2. [LinkedIn, retrieved 2024] MORAI Inc. | LinkedIn | https://www.linkedin.com/company/morai
3. [ASAM e.V., retrieved 2024] MORAI Inc. - ASAM e.V. | https://www.asam.net/members/detail/morai/
4. [MORAI, retrieved 2024] MORAI | Digital Twin Simulation for Autonomous Systems | https://www.morai.ai/
5. [MORAI, retrieved 2024] About Us - MORAI | https://www.morai.ai/aboutus
6. [MORAI, retrieved 2024] Maritime | MORAI | https://www.morai.ai/maritime
7. [Dealroom.co, retrieved 2026] Morai - Company Profile | https://tracxn.com/d/companies/morai/__zltI5FhAxJO5fHRR0Rp9ldQeM-foUuWHQ_m1bGJQEa4
8. [The Robot Report, retrieved 2026] MORAI raises $20.8M for autonomous driving simulation | https://therobotreport.com/morai-raises-208m-autonomous-driving-simulation/
9. [MORAI, Sep 2025] MORAI and Siemens Sign MOU to Collaborate on Autonomous Driving Simulation | https://www.morai.ai/post/morai-and-siemens-sign-mou-to-collaborate-on-autonomous-driving-simulation