Company Overview
From Automation to Autonomy
From Automation
to Autonomy
AI first enterprise transition with agentic AI
Mission
To enhance human productivity by transforming knowledge work into autonomous workflows powered by Agentic AI
Vision
To build enterprise superintelligence, where every workflow, from business to R&D and industrial operations, runs on self-evolving agentic AI that continuously accumulates knowledge and improves itself
Client Stories
2025
DeepAutoAgent
Eagle Rock Properties
Eagle Rock Properties is a vertically integrated real estate investment and management platform with expertise
in investment management, property operations, and construction oversight. The firm concentrates on rental
apartment communities across the Northeast and Mid-Atlantic United States, where demand fundamentals remain strong. Led by an executive team with over 30 years of multifamily ownership and operating experience, Eagle Rock has established itself as a market leader. The platform is committed to creating long-term value through disciplined asset management, strategic capital improvements, and the delivery of high-quality living environments in prime locations near major employment and lifestyle hubs including New York City, New Haven, Baltimore, Washington, D.C., and Philadelphia.
Eagle Rock Properties is a vertically integrated real estate investment and management platform with expertise in investment management, property operations, and construction oversight. The firm concentrates on rental apartment communities across the Northeast and Mid-Atlantic United States, where demand fundamentals remain strong. Led by an executive team with over 30 years of multifamily ownership and operating experience, Eagle Rock has established itself as a market leader. The platform is committed to creating long-term value through disciplined asset management, strategic capital improvements, and the delivery of high-quality living environments in prime locations near major employment and lifestyle hubs including New York City, New Haven, Baltimore, Washington, D.C., and Philadelphia.
Business Needs
Data-to-Insight at scale
Data-to-Insight at scale
Need to retrieve, process and transform vast property data to produce actionable insights.
De-bottleneck Complex work
De-bottleneck Complex work
Overcome capacity limits from high-cognitive, complex workloads that create human bottlenecks.
Overcome capacity limits from high-cognitive, complex workloads
that create human bottlenecks
Resilient Portfolio operations & Real-time Control
Resilient Portfolio operations & Real-time Control
Need to ensure resilient portfolio management and real-time environmental/operational controls amid rapidly changing global economic and geopolitical conditions.
Need to ensure resilient portfolio management and real-time environmental/operational controls amid rapidly changing global
economic and geopolitical conditions
Solution
End-to-end AI automation
End-to-end AI automation
From deal sourcing through portfolio, asset, and investment management, unifying data, decisions,
and execution.
From deal sourcing through portfolio, asset, and investment management, unifying data, decisions, and execution
Agentic Workflow Orchestration
Agentic Workflow Orchestration
That reduces operators' time and headcount costs
across complex, multi-step processes.
That reduces operators' time and headcount costs across complex, multi-step processes.
Automated insight generation
Automated insight generation
(retrieval, analysis, and decision-ready reporting)
delivered in real-time.
(retrieval, analysis, and decision-ready reporting) delivered in real-time.
Expected Results
Faster Decisions
Faster Decisions
Shorter deal screening, diligence, and portfolio cycles; accelerated time-to-insight.
Lower operating cost
Lower operating cost
Fewer manual touch-points and reduced headcount overhead in complex workflows.
Higher throughput & coverage
Higher throughput & coverage
Analyze far larger document sets without linear team scaling.
Better quality & consistency
Better quality & consistency
Standardized workflows reduce variance and
increase auditability.
Standardized workflows reduce variance andincrease auditability.
Resilient portfolio operations
Resilient portfolio operations
Real-time monitoring and controls support stability
in volatile markets.
Real-time monitoring and controls support stability in volatile markets.
DeepAutoAgent
LG Science Park
LG Science Park is LG Group’s global R&D hub, bringing together expertise in electronics, AI, biotechnology,
and advanced materials to drive collaboration and next-generation innovation.
LG Science Park is LG Group’s global R&D hub, bringing together expertise in electronics, AI, biotechnology, and advanced materials to drive collaboration and next-generation innovation.
Business Needs
Deal Sourcing Intelligence
Deal Sourcing Intelligence
Need to strengthen deal sourcing by discovering collaboration opportunities through market-analysis driven signals.
Technology-Led Evaluation System
Technology-Led Evaluation System
Identify credible partners and enable confident, data driven decisions through a technology-first evaluation framework.
Intent-Accurate AI (Beyond General Models)
Intent-Accurate AI (Beyond General Models)
Capture user intent precisely with domain-specific workflows, overcoming the limitations of general models.
Solution
AI Agent–Based Orchestration
AI Agent–Based Orchestration
Integrates complex operational workflows, allowing operators to focus on high-judgment, strategic decisions.
Automated & Advanced Deal Sourcing Process
Automated & Advanced Deal Sourcing Process
Automates and elevates the sourcing process to shorten partner-discovery time and improve precision.
HITL Validation & Control
HITL Validation & Control
Human-in-the-loop checkpoints allow targeted intervention and correction to ensure accuracy, reliability, and governance.
Expected Results
Faster cycles
Faster cycles
Deal sourcing, screening, and diligence move quicker with automated discovery and long-context processing, shortening time-to-insight.
Higher accuracy & trust
Higher accuracy & trust
HITL validation and standardized workflows improve precision, reduce errors, and increase auditability.
Lower operating cost
Lower operating cost
Agentic orchestration cuts manual touchpoints and headcount overhead across multifaceted processes.
Greater throughput & coverage
Greater throughput & coverage
Analyze far larger document sets and opportunities without linear team scaling.
Better partner selection
Better partner selection
Technology-led evaluation surfaces credible partners and supports confident, data-driven decisions.
DeepAutoSpace
Config.Inc
Business Needs
Config faces challenges in efficiently allocating, scheduling, and managing GPU resources, leading to underutilization, increased operational costs, and performance bottlenecks for computationally intensive workloads.
Config faces challenges in efficiently allocating, scheduling, and managing GPU resources, leading to underutilization, increased operational costs, and performance bottlenecks for computationally intensive workloads.
Solution
We suggested our service DeepAutoSpace that enables user to easily manage organization team-member schedules with their allocated GPU resources.
We suggested our service DeepAutoSpace that enables user to easily manage organization team-member schedules with their allocated GPU resources.
Results
We have entered into a large-scale supply contract with Config Intelligence Inc, an AI startup based in Delaware, USA, to provide the DeepAutoSpace service.
We have entered into a large-scale supply contract with Config Intelligence Inc, an AI startup based in Delaware, USA, to provide the DeepAutoSpace service.
2024
ScaleServe
LG Electronics
LG Electronics is a global leader in consumer electronics, home appliances, and mobile communications.
The Exaone model is part of their growing portfolio in AI-powered technologies and robotics. Exaone refers to a robotic system or AI assistant designed to work within smart home or business environments, potentially integrating with other LG smart products. These products enhance convenience, efficiency, comfort, and environmental sustainability for consumers.
LG Electronics is a global leader in consumer electronics, home appliances, and mobile communications. The Exaone model is part of their growing portfolio in AI-powered technologies and robotics. Exaone refers to a robotic system or AI assistant designed to work within smart home or business environments, potentially integrating with other LG smart products. These products enhance convenience, efficiency, comfort, and environmental sustainability for consumers.
Business Needs
The Exaone model faces significant challenges when it comes to running in an on-device environment, primarily due to the inherent hardware limitations.
Solution
We suggested compressing the model size through LLM pruning and quantization, and applying scaleserve method.
We suggested compressing the model size through LLM pruning and quantization, and applying scaleserve method.
Results
With our advanced solutions, our technology ultimately enables fast, long-context inference with limited memory, ensuring high performance and efficiency in resource-constrained environments.
With our advanced solutions, our technology ultimately enables fast, long context inference with limited memory, ensuring high performance and efficiency in resource-constrained environments.
ScaleServe
VMonster
VMonster is a company working on AI-powered conversational tools, specifically chatbots and natural language
processing solutions. Their products focus on enterprise-grade AI for automating tasks, improving customer service,
and enhancing communication via advanced conversational AI technology.
VMonster is a company working on AI-powered conversational tools, specifically chatbots and natural language processing solutions. Their products focus on enterprise-grade AI for automating tasks, improving customer service, and enhancing communication via advanced conversational AI technology.
Business Needs
VMonster AI provides scalable solutions through products such as chatbot solutions, virtual assistants, customer service automation, and AI-powered analytics. However, they were facing the problem of lacking training and serving infrastructure.
VMonster AI provides scalable solutions through products such as chatbot solutions, virtual assistants, customer service automation, and AI-powered analytics. However, they were facing the problem of lacking training and serving infrastructure.
Solution
They needed a space to manage the crucial infrastructure required to run their intelligent solutions. We, DeepAuto, solved this major problem by providing them with a cost-efficient workspace and model serving.
They needed a space to manage the crucial infrastructure required to run their intelligent solutions. We, DeepAuto, solved this major problem by providing them with a cost-efficient workspace and model serving.
Expected Results
Using our products, and as this project is still ongoing, we aim to reduce total training and serving costs, which is a crucial step in both running the business and completing the user journey.
Using our products, and as this project is still ongoing, we aim to reduce total training and serving costs, which is a crucial step in both running the business and completing the user journey.
2023
GenAIOps for text-2-image
Cheil
Cheil Worldwide is not just a traditional advertising agency; it has embraced the power of AI and digital innovation to enhance its marketing and advertising solutions. As a global leader in creative marketing, Cheil has been incorporating AI-driven technologies into its strategies, leveraging them for better targeting, personalized experiences, and predictive analytics.
Business Needs
The process of creating images for advertisements is currently too slow, leading to delays in campaign execution and limiting the ability to quickly adapt to changing market trends and customer preferences.
Solution
We suggested implementing an image generation framework that seamlessly integrates and merges multiple concepts with high accuracy.
Results
Our proposed solution enabled the creation of highly detailed and contextually relevant visuals while maintaining coherence and visual integrity, ensuring impactful and effective advertising materials. In conclusion, it significantly reduced
the time and costs associated with creating images for proof-of-concepts.
Our proposed solution enabled the creation of highly detailed and
contextually relevant visuals while maintaining coherence and visual integrity, ensuring impactful and effective advertising materials. In conclusion, it significantly reduced the time and costs associated with creating images for proof-of-concepts.
Model Compression
StradVision
StradVision specializes in computer vision and autonomous driving solutions. They focus on developing vision-based software for autonomous vehicles, providing AI-driven perception solutions that enable cars to "see" and understand their surroundings. The company's core product is a vision AI software platform that processes camera data and helps self-driving vehicles navigate safely in real-world environments.
Business Needs
It is extremely challenging to optimize self-driving models across a wide range of hardware platforms, as processing capabilities, memory limitations, and performance characteristics vary depending on the device type.
Solution
As a solution, we suggested
device- and architecture-aware
model compression, which tailors the compression techniques specifically to the unique hardware and architectural constraints of the target platform, optimizing the model’s performance and memory usage.
As a solution, we suggested device- and architecture-aware model compression, which tailors the compression techniques specifically to the unique hardware and architectural constraints of the target platform, optimizing the model’s performance and memory usage.
Results
Our compression techniques successfully reduced the expensive model optimization costs for each device by thoroughly analyzing and identifying the unique constraints, allowing us to prepare highly tailored and detailed solutions for each device’s requirements.
Our compression techniques successfully reduced the expensive model optimization costs for each device by thoroughly analyzing and identifying the unique constraints, allowing us to prepare highly tailored and detailed solutions for each device’s requirements.
Client Stories
2025
DeepAutoAgent
Eagle Rock Properties
Eagle Rock Properties is a vertically integrated real estate investment and management platform with expertise in investment management, property operations, and construction oversight.
The firm concentrates on rental apartment communities across the Northeast and Mid-Atlantic United States, where demand fundamentals remain strong. Led by an executive team with over 30 years of multifamily ownership and operating experience, Eagle Rock has established itself as a market leader. The platform is committed to creating long-term value through disciplined asset management, strategic capital improvements, and the delivery of high-quality living environments in prime locations near major employment and lifestyle hubs including New York City, New Haven, Baltimore, Washington, D.C., and Philadelphia.
Business Needs
Data-to-Insight at scale
Need to retrieve, process and transform vast property data to produce actionable insights.
De-bottleneck Complex work
Overcome capacity limits from high-cognitive, complex workloads that create human bottlenecks.
Resilient Portfolio operations & Real-time Control
Need to ensure resilient portfolio management and real-time environmental/operational controls amid rapidly changing global economic and geopolitical conditions.
Solution
End-to-end AI automation
From deal sourcing through portfolio, asset, and investment management, unifying data, decisions, and execution.
Agentic Workflow Orchestration
That reduces operators' time and headcount costs across complex, multi-step processes.
Automated insight generation
(retrieval, analysis, and decision-ready reporting) delivered in real-time.
Expected Results
Faster Decisions
Shorter deal screening, diligence, and portfolio cycles; accelerated time-to-insight.
Lower operating cost
Fewer manual touch-points and reduced headcount overhead in complex workflows.
Higher throughput & coverage
Analyze far larger document sets without linear team scaling.
Better quality & consistency
Standardized workflows reduce variance and increase auditability.
Resilient portfolio operations
Real-time monitoring and controls support stability in volatile markets.
DeepAutoAgent
LG Science Park
LG Science Park is LG Group’s global R&D hub, bringing together expertise in electronics, AI, biotechnology, and advanced materials to drive collaboration and next-generation innovation.
Business Needs
Deal Sourcing Intelligence
Need to strengthen deal sourcing by discovering collaboration opportunities through market-analysis driven signals.
Technology-Led Evaluation System
Identify credible partners and enable confident, data driven decisions through a technology-first evaluation framework.
Intent-Accurate AI (Beyond General Models)
Capture user intent precisely with domain-specific workflows, overcoming the limitations of general models.
Solution
AI Agent–Based Orchestration
Integrates complex operational workflows, allowing operators to focus on high-judgment, strategic decisions.
Automated & Advanced Deal Sourcing Process
Automates and elevates the sourcing process to shorten partner-discovery time and improve precision.
HITL Validation & Control
Human-in-the-loop checkpoints allow targeted intervention and correction to ensure accuracy, reliability, and governance.
Expected Results
Faster cycles
Deal sourcing, screening, and diligence move quicker with automated discovery and long-context processing, shortening time-to-insight.
Higher accuracy & trust
HITL validation and standardized workflows improve precision, reduce errors, and increase auditability.
Lower operating cost
Agentic orchestration cuts manual touchpoints and headcount overhead across multifaceted processes.
Greater throughput & coverage
Analyze far larger document sets and opportunities without linear team scaling.
Better partner selection
Technology-led evaluation surfaces credible partners and supports confident, data-driven decisions.
DeepAutoSpace
Config.Inc
Business Needs
Config faces challenges in efficiently allocating, scheduling, and managing GPU resources, leading to underutilization, increased operational costs, and performance bottlenecks for computationally intensive workloads.
Solution
We suggested our service DeepAutoSpace that enables user to easily manage organization team-member schedules with their allocated GPU resources.
Results
We have entered into a large-scale supply contract with Config Intelligence Inc, an AI startup based in Delaware, USA, to provide the DeepAutoSpace service.
2024
ScaleServe
LG Electronics
LG Electronics is a global leader in consumer electronics, home appliances, and mobile communications. The Exaone model is part of their growing portfolio in AI-powered technologies and robotics. Exaone refers to a robotic system or AI assistant designed to work within smart home or business environments, potentially integrating with other LG smart products. These products enhance convenience, efficiency, comfort, and environmental sustainability for consumers.
Business Needs
The Exaone model faces significant challenges when it comes to running in an on-device environment, primarily due to the inherent hardware limitations.
Solution
We suggested compressing the model size through LLM pruning and quantization, and applying scaleserve method.
Results
With our advanced solutions, our technology ultimately enables fast, long-context inference with limited memory, ensuring high performance and efficiency in resource-constrained environments.
ScaleServe
VMonster
VMonster is a company working on
AI-powered conversational tools, specifically chatbots and natural language
processing solutions. Their products focus on enterprise-grade AI for automating tasks, improving customer service,
and enhancing communication via advanced conversational AI technology
Business Needs
VMonster AI provides scalable solutions through products such as chatbot solutions, virtual assistants, customer service automation, and AI-powered analytics. However, they were facing the problem of lacking training and serving infrastructure.
Solution
They needed a space to manage the crucial infrastructure required to run their intelligent solutions. We, DeepAuto, solved this major problem by providing them with a cost-efficient workspace and model serving.
Expected Results
Using our products, and as this project is still ongoing, we aim to reduce total training and serving costs, which is a crucial step in both running the business and completing the user journey.
2023
GenAIOps for text-2-image
Cheil
Cheil Worldwide is not just a traditional advertising agency; it has embraced the power of AI and digital innovation to enhance its marketing and advertising solutions. As a global leader in creative marketing, Cheil has been incorporating AI-driven technologies into its strategies, leveraging them for better targeting, personalized experiences, and predictive analytics.
Business Needs
The process of creating images for advertisements is currently too slow, leading to delays in campaign execution and limiting the ability to quickly adapt to changing market trends and customer preferences.
Solution
We suggested implementing an image generation framework that seamlessly integrates and merges multiple concepts with high accuracy.
Results
Our proposed solution enabled the creation of highly detailed and contextually relevant visuals while maintaining coherence and visual integrity, ensuring impactful and effective advertising materials. In conclusion, it significantly reduced
the time and costs associated with creating images for proof-of-concepts.
Model Compression
StradVision
StradVision specializes in computer
vision and autonomous driving solutions. They focus on developing vision-based
software for autonomous vehicles, providing AI-driven perception solutions that enable cars to "see" and understand
their surroundings. The company's core product is a vision AI software platform that processes camera data and helps
self-driving vehicles navigate safely in
real-world environments.
Business Needs
It is extremely challenging to optimize self-driving models across a wide range of hardware platforms, as processing capabilities, memory limitations, and performance characteristics vary depending on the device type.
Solution
As a solution, we suggested
device- and architecture-aware
model compression, which tailors the compression techniques specifically to the unique hardware and architectural constraints of the target platform, optimizing the model’s performance and memory usage.
Results
Our compression techniques successfully reduced the expensive model optimization costs for each device by thoroughly analyzing and identifying the unique constraints, allowing us to prepare highly tailored and detailed solutions for each device’s requirements.
People
Hyungy Hong
Legal Advisor
J.D. (Juris Doctor equivalent),
School of Law, SKKU
B.S in Computer Science,
Seoul National University
J.D. (Juris Doctor equivalent),
School of Law, SKKU
B.S in Computer Science,
Seoul National University
Sungmin Choo
Software Engineer
BS in Computer Science, SSKU
BS in Computer Science SSKU
HeeYun Yang
Product Designer
BFA in Design, SVA
BFA in Design, SVA
Our Partners
D2 Startup Factory
SpringCamp
LG Electronics
CONFIG
Cheil
VMONSTER
STRADVISION
MEGAZONE Cloud
Our Partners
D2 Startup Factory
SpringCamp
LG Electronics
CONFIG
Cheil
VMONSTER
STRADVISION
MEGAZONE Cloud
History
2024
January
January
Exhibited at CES 2024
Jun
Jun
Exhibited at CVPR 2024
2023
January
January
Stradvision Project
May
May
Seed Fund (SpringCamp)
August
August
Cheil Project
October
October
DeepTech TIPS grant
2022
December
December
Est.DeepAuto.ai
Est.DeepAuto.ai
Offices
South Korea
Naver D2 Startup Campus,
18th FL, Secho-Daero 74-gil 14,
Seocho-gu, Seoul, 06620 South Korea 🇰🇷
Naver D2 Startup Campus, 18th FL,
Secho Daero 74-gil 14,
Seocho-gu, Seoul, 06620 South Korea 🇰🇷
USA
8 The Green 14844 Dover DE 19901, USA 🇺🇸
People
Hyungy Hong
Legal Advisor
J.D. (Juris Doctor equivalent),
School of Law, SKKU
B.S in Computer Science,
Seoul National University
Sungmin Choo
Software Engineer
BS in Computer Science SSKU
HeeYun Yang
Product Designer
BFA in Design, SVA