Company Overview

From Automation to Autonomy

From Automation
to Autonomy

AI first enterprise transition with agentic AI

Mission

From enterprise workflows to R&D

Enhancing human productivity by efficiently automating knowledge work at every level

From enterprise workflows to R&D

Vision

Automate your workflows with Autonomous agents

Automate your workflows
with Autonomous agents

DeepAuto aims to automate everything with AI, from business workflows to R&D process with efficient
and low-cost AI solutions that save time and money.

DeepAuto aims to automate everything with AI, from business workflows to R&D process with efficient and low-cost AI solutions that save time and money.

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

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.

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.

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.

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.

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.

(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.

Standardized workflows reduce variance andincrease auditability.

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

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.

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.

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.

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.

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.

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

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

Solution

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

Business Needs

Solution

We suggested implementing an image generation framework that seamlessly integrates and merges multiple concepts with high accuracy.

Results

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.