Selected Customers

Samsung E&A
SGC
Eagle Rock Properties
YUDO
StradVision
Cheil
Agentic Intelligence Platform

Build an agent-first enterprise

We centralize your fragmented data into infrastructure ready for AI, then deploy autonomous agents that run your workflows, with human oversight at every step.

SGC E&C
Samsung E&A
YUDO
Eagle Rock Properties
LG SciencePark
KAIST
SGC E&C
Samsung E&A
YUDO
Eagle Rock Properties
LG SciencePark
KAIST
NAVER D2
SpringCamp
Company K Partners
Kolon Investment
SGC Partners
HB Investment
TS Investment
NAVER D2
SpringCamp
Company K Partners
Kolon Investment
SGC Partners
HB Investment
TS Investment
The Problem

The Knowledge Crisis in Industry. Deloitte projects that up to 1.9 million U.S. manufacturing jobs could go unfilled by 2033. At the same time, the operational knowledge that keeps plants running remains concentrated in a shrinking population of experienced engineers. The challenge is no longer access to information — it is preserving and scaling expertise.

01
DEMAND–SUPPLY GAP

Rising demand, a shrinking workforce.

As reshoring and new plant construction accelerate, the industry faces a structural shortfall — more than half of all skilled manufacturing openings could remain unfilled through 2033.

02
TACIT KNOWLEDGE

Reading a drawing takes a day. Understanding it takes decades.

Engineering drawings and specifications can be digitized. The operational judgment required to interpret them — accumulated over decades in the field — cannot. It exists only in the engineers now reaching retirement.

03
KNOWLEDGE CAPTURE

Capturing expertise before it leaves.

DeepAuto captures tacit know-how, internal documents, and field experience into a queryable institutional knowledge base — so operational judgment remains after the expert is gone.

  1. Knowledge Crisis

    Expertise lost as engineers retire

  2. Agentic Lakehouse

    Knowledge captured & structured

  3. Super Intelligence

    Expertise deployed at scale

AI Transformation

From Fragmented & Manual
to Unified & Autonomous

Before
After

Today's Enterprise Reality

01ERP SystemCostly
02CRMOpaque
03SpreadsheetsSlow
04EmailsLost
05People's HeadsAt risk

Weeks to compile reports

2–4 weeks

Knowledge lost with turnover

40% at risk

Manual, error-prone workflows

15+ systems

AI initiatives stalled

Months delayed

The Platform

Two phases to
AI-first Enterprise Transformation

A systematic transformation: first build your data foundation,
then unleash autonomous agents on top.

Phase 1Data Infrastructure
Phase 2Agent Workflows

Centralize & Activate Your Data

Build an Agentic Lakehouse and get a Super Intelligence that understands all your data from day one. Analytics, visualization, Q&A, reporting — no custom agents needed. Just connect your systems and start asking questions.

01

Universal Data Ingestion

Structured & unstructured data from any source

02

Auto-structured Knowledge Base

AI parses and normalizes into queryable schemas

03

Analytics & Visualization

Super Intelligence answers questions, generates charts, and surfaces insights across all your data — instantly

04

Agentic Query Planning

AI reasons about intent and routes queries across Graph, Relational, and Vector Stores in multi-step workflows

Human
“Why did revenue drop in Q3?”
Super IntelligenceIntelligence Layer

Agentic Query Planning

Step 1Graph StoreFind entities connected to Q3 revenue
Step 2Relational StorePull EBITDA & cash flow trends
Step 3Vector StoreSearch memos & emails for context

Resolves against

Agentic Lakehouse

Auto KG construction & auto schema generation

Graph StoreKnowledge
Relational StoreStructured
Vector StoreUnstructured

Source of Truth

Auto-ingested from

Fragmented Data Sources
ERPtransactions
CRMentities
Docsunstructured
Emailmessages
DBstables
Sheetsmanual

Fig. 01Data InfrastructureDeepAuto Platform

Industry Solutions

Purpose-built for your industry

Domain-specific AI agents trained on your industry's data patterns, workflows,
and compliance requirements.

Platform Architecture

Two axes, one shared core

Finance and industrial workloads run as separate operating systems.
Underneath, both sit on the same runtime, the same lakehouse, the same agent operations.

Agentic Finance OS

Agentic Industrial OS

PortfolioRent rolls · statements
BankingPayments · treasury · lending
PlantP&ID · material take-off
ManufacturingCAD · CAM · CNC

+ Agentic CRM

Relationship and deal context on the same records the agents already read.

+ Agentic ERP

Built for high-mix, low-volume and engineer-to-order production.

Runs on

Shared Platform Core

Agent RuntimeAgentOpsAgentic LakehouseSpace

Agentic CRM belongs to Finance. Agentic ERP belongs to Industrial. Everything below the line is shared.

No AI Team.
No Data Leakage.

A full-stack, portable platform you deploy in your own infrastructure
no ML engineers needed. Open-source foundations, zero third-party data dependence.

Fully Portable

100%

Portable across environments

Deploy on-premise, in your private cloud, or dedicated VPC. Move between environments freely — no vendor lock-in, no re-architecture. Your infrastructure, your rules.

Data & Model Sovereignty

0

Data shared with third parties

Built on open-source foundations. Your data never leaves your environment, and your fine-tuned models stay yours. Full privacy, zero third-party data dependence.

Zero AI Team Required

0

AI or data engineers needed

Semi-automated data ingestion and agent deployment means you don't need ML engineers, data scientists, or AI infrastructure specialists. We provide the full stack.

10× Faster Deployment

8–12 Weeks

vs. 12–18 months industry average

Traditional enterprise AI takes 12–18 months. DeepAuto delivers a fully operational AI system — data centralization, agent deployment, and custom fine-tuning — in 8 to 12 weeks.

Get Started

Ready to become
AI-first?

Schedule a 30-minute demo and see how DeepAuto turns your enterprise data and workflows into working intelligence, in weeks.

We'll respond within 24 hours. No spam, ever.