Enterprise data is
never AI-Ready by default.
Enterprise data is
never AI-Ready by default.
Enterprise data is
never AI-Ready by default.
Three things block enterprise AI — data you can't legally use, data that exists
but is too broken to train on, and results that don't reproduce in production.
CUBIG is the AI-ready data infrastructure that removes all three.
Three things block enterprise AI — data you can't legally use, data that exists
but is too broken to train on, and results that don't reproduce in production.
CUBIG is the AI-ready data infrastructure that removes all three.
Turn enterprise data into AI-Ready data, SynTitan
Turn enterprise data into AI-Ready data, SynTitan
Turn enterprise data into
AI-Ready data, SynTitan
Repair, rebalance, and safely augment data into a synthetic-first layer that AI can actually run on.
Repair, rebalance, and safely augment data into a synthetic-first layer
that AI can actually run on.
Repair, rebalance, and safely augment data into a synthetic-first layer that
AI can actually run on.
CUBIG builds synthetic-first data that enterprises can finally use, share, and collaborate on safely.
Amazon AWS
NVIDIA
Gartner
Naver Cloud
SK Telecom
Kyobo
ROK Army
ROK Air Force
Ministry of Data and Statistics
IBK
Woori Bank
Korea heritage service
EUMC
Enterprise AI doesn't fail because of models.
Enterprise AI doesn't fail because of models.
Enterprise AI doesn't fail because of models.
It fails after deployment because data is restricted, unusable, or execution becomes unstable in production.
It fails after deployment because data is restricted, unusable, or execution becomes unstable in production.
It fails after deployment because data is restricted, unusable,
or execution becomes unstable in production.
Freeze, version, and verify enterprise data into AI-ready states. CUBIG binds every run to a reproducible data state for stable, production-ready AI.
Enterprise AI Is Still Failing
Enterprise AI Is Still Failing
Enterprise AI Is Still Failing
60%
of AI projects will fail by 2026 without AI-optimized data infrastructure
30%
of GenAI projects abandoned after PoC — before reaching production
42%
of US enterprises halted most AI initiatives — up from 17% the prior year
60%
of AI projects will fail by 2026 without AI-optimized data infrastructure
30%
of GenAI projects abandoned after PoC — before reaching production
42%
of US enterprises halted most AI initiatives — up from 17% the prior year
60%
of AI projects will fail by 2026 without AI-optimized data infrastructure
30%
of GenAI projects abandoned after PoC — before reaching production
42%
of US enterprises halted most AI initiatives — up from 17% the prior year
60%
of AI projects will fail by 2026 without AI-optimized data infrastructure
30%
of GenAI projects abandoned after PoC — before reaching production
42%
of US enterprises halted most AI initiatives — up from 17% the prior year
60%
of AI projects will fail by 2026 without AI-optimized data infrastructure
30%
of GenAI projects abandoned after PoC — before reaching production
42%
of US enterprises halted most AI initiatives — up from 17% the prior year
Barriers to Reliable AI
Barriers to Reliable AI
Barriers to Reliable AI
- #1.
Restricted Data
Sensitive or regulated data can't be used safely with AI. Privacy rules, access controls, and compliance requirements block it from reaching models.
- #2.
Unusable Data
Data exists, but it's not usable — missing values, bias, coverage gaps, imbalance, or restricted access make it unfit for AI training and validation.
- #3.
Unusable Execution
Data and execution conditions change after deployment — schema shifts, pipeline updates, runtime variance — so results can't be reproduced.
AI Needs More Than Models
AI Needs More Than Models
AI Needs More Than Models
"True AI-ready data means
it becomes usable, reliable, and stable in production."
"True AI-ready data means
it becomes usable, reliable, and stable in production."
"True AI-ready data means
it becomes usable, reliable, and stable in production."
Operational cost of execution failures
Operational cost of execution failures
Effect ondeployment timelines
Effect ondeployment timelines
PRIVACY SAFE
Sensitive information is protected while data remains useful and compliant for AI workflows.
USABLE
Data can actually be used for training, validation, and decisions — not just stored or partially accessible.
STABLE IN PRODUCTION
AI runs stay reproducible even as environments, schemas, and pipelines change over time.
What is AI-Ready Data Infrastructure?
What is AI-Ready Data Infrastructure?
Infrastructure that makes enterprise data usable, privacy-safe, and stable for production AI execution.
Infrastructure that makes enterprise data usable, privacy-safe,
and stable for production AI execution.
Freeze, version, and verify enterprise data into AI-ready states. CUBIG binds every run to a reproducible data state for stable, production-ready AI.
AI-Ready Data infrastructrue
CUBIG
Data Source
Databases
SQL · NoSQL
Documents
Contracts · Internal
CRM & ERP
Salesforce · SAP
Object Storage
S3 · Data Lake
Logs & IoT
Sensors · Streams
Apls & Legacy
REST · SOAP
structured & unstructured
AI-Ready Platform
DTS
Data Usability & Privacy
synthetic augmentation
differential privacy
class balancing
Fixes unusable data · data-level privac
Diagnose
Transform
Synthetic Data
Usable Data
SynTitan
Execution Stability
synthetic augmentation
differential privacy
class balancing
fixes unstable execution
Execution
Run Binding
Release State
Stable
LLM Capsule
Secure LLM Access
synthetic augmentation
differential privacy
class balancing
fixes inference-level privacy
Encapsulate
LLM Access
Restoration
Mapper
Privacy-safe
AI Applications
Fraud Detection & Monitoring
Stable production models · rare-event coverage
DTS
SynTitan
Customer AnalyticsCustomer Analytics
Privacy-safe insights · churn prediction
DTS
LLM Capsule
AI Agents
Survey · price strategy · instant research
SynTitan
Policy & Risk Simulation
What-if scenarios · regulatory impact
DTS
SynTitan
Enterprise Copilots
LLM on internal data · RAG · PII-safe
LLM Capsule
SynTitan
Sensitive Document Access
Enterprise RAG · secure knowledge base
LLM Capsule
Reproducible AI Execution
Schema fingerprinting · version-locked runs
SynTitan
ISO 27001 · ISO 42001 · GS Certified · AWS Marketplace · 10+ Patents
AI-Ready Data infrastructrue
CUBIG
Data Source
Databases
SQL · NoSQL
Documents
Contracts · Internal
CRM & ERP
Salesforce · SAP
Object Storage
S3 · Data Lake
Logs & IoT
Sensors · Streams
Apls & Legacy
REST · SOAP
structured & unstructured
AI-Ready Platform
DTS
Data Usability & Privacy
synthetic augmentation
differential privacy
class balancing
Fixes unusable data · data-level privac
Diagnose
Transform
Synthetic Data
Usable Data
SynTitan
Execution Stability
synthetic augmentation
differential privacy
class balancing
fixes unstable execution
Execution
Run Binding
Release State
Stable
LLM Capsule
Secure LLM Access
synthetic augmentation
differential privacy
class balancing
fixes inference-level privacy
Encapsulate
LLM Access
Restoration
Mapper
Privacy-safe
AI Applications
Fraud Detection & Monitoring
Stable production models · rare-event coverage
DTS
SynTitan
Customer AnalyticsCustomer Analytics
Privacy-safe insights · churn prediction
DTS
LLM Capsule
AI Agents
Survey · price strategy · instant research
SynTitan
Policy & Risk Simulation
What-if scenarios · regulatory impact
DTS
SynTitan
Enterprise Copilots
LLM on internal data · RAG · PII-safe
LLM Capsule
SynTitan
Sensitive Document Access
Enterprise RAG · secure knowledge base
LLM Capsule
Reproducible AI Execution
Schema fingerprinting · version-locked runs
SynTitan
ISO 27001 · ISO 42001 · GS Certified · AWS Marketplace · 10+ Patents
AI-Ready Data infrastructrue
CUBIG
Data Source
Databases
SQL · NoSQL
Documents
Contracts · Internal
CRM & ERP
Salesforce · SAP
Object Storage
S3 · Data Lake
Logs & IoT
Sensors · Streams
Apls & Legacy
REST · SOAP
structured & unstructured
AI-Ready Platform
DTS
Data Usability & Privacy
synthetic augmentation
differential privacy
class balancing
Fixes unusable data · data-level privac
Diagnose
Transform
Synthetic Data
Usable Data
SynTitan
Execution Stability
synthetic augmentation
differential privacy
class balancing
fixes unstable execution
Execution
Run Binding
Release State
Stable
LLM Capsule
Secure LLM Access
synthetic augmentation
differential privacy
class balancing
fixes inference-level privacy
Encapsulate
LLM Access
Restoration
Mapper
Mapper
Privacy-safe
AI Applications
Fraud Detection & Monitoring
Stable production models · rare-event coverage
DTS
SynTitan
Customer AnalyticsCustomer Analytics
Privacy-safe insights · churn prediction
DTS
LLM Capsule
AI Agents
Survey · price strategy · instant research
SynTitan
Policy & Risk Simulation
What-if scenarios · regulatory impact
DTS
SynTitan
Enterprise Copilots
LLM on internal data · RAG · PII-safe
LLM Capsule
SynTitan
Sensitive Document Access
Enterprise RAG · secure knowledge base
LLM Capsule
Reproducible AI Execution
Schema fingerprinting · version-locked runs
SynTitan
ISO 27001 · ISO 42001 · GS Certified · AWS Marketplace · 10+ Patents
CUBIG removes the three blockers preventing enterprise AI adoption by introducing an AI-Ready Data Infrastructure layer
CUBIG removes the three blockers preventing enterprise AI adoption by introducing an AI-Ready Data Infrastructure layer
Which problem describes your situation?
Which problem describes your situation?
Which problem
describes your situation?
Which problem
describes your situation?
Enterprise AI failures are not random. They trace back to one of three structural blockers. Find yours.
Enterprise AI failures are not random.
They trace back to one of three structural blockers. Find yours.
Enterprise AI failures are not random.
They trace back to one of three structural blockers. Find yours.
Freeze, version, and verify enterprise data into AI-ready states. CUBIG binds every run to a reproducible data state for stable, production-ready AI.
RESTRIECTED DATA
"We want to use LLMs on enterprise data, but sensitive fields block us."
"We want to use LLMs on enterprise data, but sensitive fields block us."
"We want to use LLMs on enterprise data, but sensitive fields block us."
PII, internal identifiers, regulated records - employees can't send this to an LLM. Compliance blocks adoption. Projects stall.
PII, internal identifiers, regulated records - employees can't send this to an LLM. Compliance blocks adoption. Projects stall.
#prompt data leakage
#prompt data leakage
#PII in LLM prompts
#PII in LLM prompts
#enterprise LLM privacy
#enterprise LLM privacy
CUBIG SOLUTION
LLM Capsule
LLM Capsule
removes the blocker
Available on AWS Marketplace. GS Ceritified
RESTRIECTED DATA
"We have data but it's restricted, imbalanced, or too incomplete to train on."
"We have data but it's restricted, imbalanced, or too incomplete to train on."
Access controls, coverage gaps, rare classes, privacy constraints -
the data exists but AI can't use it.
Projects can't start.
Access controls, coverage gaps, rare classes, privacy constraints -
the data exists but AI can't use it.
Projects can't start.
#unusable data for AI
#unusable data for AI
#imbalanced datastets
#imbalanced datastets
#AI-Ready dataset generation
#AI-Ready dataset generation
CUBIG SOLUTION
DTS
DTS
makes it AI-ready
GS Certified. Differential privacy engine.
RESTRIECTED DATA
"AI worked in PoC but fails or produces inconsistent results in production."
"AI worked in PoC but fails or produces inconsistent results in production."
"AI worked in PoC but fails or produces inconsistent results in production."
Schema changes, pipeline updates, silent data drift — execution state is never fixed. Results change after deployment. Root cause takes weeks to find.
Schema changes, pipeline updates, silent data drift — execution state is never fixed. Results change after deployment. Root cause takes weeks to find.
#AI fails in production
#AI fails in production
#execution state · release state
#execution state · release state
#reproducible AI execution
#reproducible AI execution
CUBIG SOLUTION
SynTitan
SynTitan
stablizes it
Core plaform. Try at syntitan.ai
Not sure which fits?
Read production case records or book a 30-min architecture review.
Not sure which fits?
Read production case records or book a 30-min architecture review.
Not sure which fits?
Read production case records or book a 30-min architecture review.
Databricks stores your data.
CUBIG makes it usable for AI.
Databricks stores your data.
CUBIG makes it usable for AI.
Databricks stores your data.
CUBIG makes it usable for AI.
Databricks stores your data. CUBIG makes it usable for AI.
Databricks, Snowflake, dbt solve storage, query, and pipeline.
They do not solve AI execution stability, sensitive data blockers, or unusable training data.
That is a different layer. That is what CUBIG builds.
Databricks, Snowflake, dbt solve storage, query, and pipeline.
They do not solve AI execution stability, sensitive data blockers, or unusable training data.
That is a different layer. That is what CUBIG builds.
Freeze, version, and verify enterprise data into AI-ready states. CUBIG binds every run to a reproducible data state for stable, production-ready AI.
MLFLOW, W&B
MLFLOW, W&B
Model experiment tracking.
Does not version data state or fix data that cannot be used for AI.
CUBIG
CUBIG
Makes data AI-ready. Binds AI runs to reproducible states.
Removes sensitive data blockers.
Generates usable data where none exists.
DATABRICKS, SNOWFLAKE
DATABRICKS, SNOWFLAKE
Storage, query, pipelines, BI. Does not address AI execution drift, restricted data, or LLM blockers.
CUBIG sits between your data platform and your AI layer. Not a replacement. What makes the rest work for AI.
CUBIG sits between your data platform and your AI layer. Not a replacement. What makes the rest work for AI.
CUBIG sits between your data platform and your AI layer. Not a replacement.
What makes the rest work for AI.
What makes the rest work for AI.
CUBIG sits between your data platform
and your AI layer. Not a replacement.
What makes the rest work for AI.
and your AI layer. Not a replacement.
What makes the rest work for AI.
CUBIG sits between your data platform and your AI layer. Not a replacement.
What makes the rest work for AI.
What makes the rest work for AI.
Where teams typically start with CUBIG
Where teams typically
start with CUBIG
Where teams typically
start with CUBIG
Where teams typically
start with CUBIG
Three distinct entry points. Each maps to a specific production blocker.
Teams usually come in through one - and then expand from there.
Three distinct entry points. Each maps to a specific production blocker.
Teams usually come in through one - and then expand from there.
Freeze, version, and verify enterprise data into AI-ready states. CUBIG binds every run to a reproducible data state for stable, production-ready AI.
Use LLMs safely on enterprise data
Use LLMs safely on enterprise data
Use LLMs safely on enterprise data
Teams adopting external LLM APIs often discover that enterprise documents contain sensitive fields that cannot be safely transmitted.
Compliance blocks adoption. Projects stall at the data access layer.
Teams adopting external LLM APIs often discover that enterprise documents contain sensitive fields that cannot be safely transmitted.
Compliance blocks adoption. Projects stall at the data access layer.
Teams adopting external LLM APIs often discover that enterprise documents contain sensitive fields that cannot be safely transmitted.
Compliance blocks adoption. Projects stall at the data access layer.
Teams adopting external LLM APIs often discover that enterprise documents contain sensitive fields that cannot be safely transmitted.
Compliance blocks adoption.
Projects stall at the data access layer.
LLM Capsule removes that blocker by anonymizing sensitive data inline during LLM interaction
- PII never reaches the external model.
LLM Capsule removes that blocker by anonymizing sensitive data inline during LLM interaction
- PII never reaches the external model.
LLM Capsule removes that blocker by anonymizing sensitive data inline during LLM interaction
- PII never reaches the external model.
LLM Capsule removes that blocker by anonymizing sensitive data inline during LLM interaction
- PII never reaches the external model.
Fix unusable or restricted datasets
Fix unusable or restricted datasets
Fix unusable or restricted datasets
Teams building classification or detection models often find that rare classes are underrepresented, privacy rules prevent using original data, or access restrictions block the pipeline entirely. The data exists — it just cannot be used.
Teams building classification or detection models often find that rare classes are underrepresented, privacy rules prevent using original data, or access restrictions block the pipeline entirely. The data exists — it just cannot be used.
Teams building classification or detection models often find that rare classes are underrepresented, privacy rules prevent using original data, or access restrictions block the pipeline entirely. The data exists — it just cannot be used.
Teams building classification or detection models often find that rare classes are underrepresented, privacy rules prevent using original data, or access restrictions block the pipeline entirely.
The data exists — it just cannot be used.
DTS generates privacy-safe synthetic datasets to expand coverage and fix imbalance when real data is restricted or incomplete.
DTS generates privacy-safe synthetic datasets to expand coverage and fix imbalance when real data is restricted or incomplete.
DTS generates privacy-safe synthetic datasets to expand coverage
and fix imbalance when real data is restricted or incomplete.
DTS generates privacy-safe synthetic datasets to expand coverage and fix imbalance when real data is restricted or incomplete.
Stabilize AI execution in production
Stabilize AI execution in production
Stabilize AI execution in production
Teams operating production AI pipelines encounter results that change without model updates — schema drift, pipeline changes, runtime variance. Debugging takes weeks because there is no traceability layer to isolate which execution condition changed.
Teams operating production AI pipelines encounter results that change without model updates — schema drift, pipeline changes, runtime variance. Debugging takes weeks because there is no traceability layer to isolate which execution condition changed.
Teams operating production AI pipelines encounter results that change without model updates — schema drift, pipeline changes, runtime variance. Debugging takes weeks because there is no traceability layer to isolate which execution condition changed.
Teams operating production AI pipelines encounter results that change without model updates — schema drift, pipeline changes, runtime variance. Debugging takes weeks because there is no traceability layer to isolate which execution condition changed.
SynTitan binds every AI run to a versioned Release State — making execution conditions traceable, comparable, and reproducible on demand.
SynTitan binds every AI run to a versioned Release State — making execution conditions traceable, comparable, and reproducible on demand.
SynTitan binds every AI run to a versioned Release State
— making execution conditions traceable, comparable, and reproducible on demand.
SynTitan binds every AI run to a versioned Release State — making execution conditions traceable, comparable, and reproducible on demand.
Where AI-Ready Data Infrastructure
unlocks production AI acorss industries.
Where AI-Ready Data Infrastructure
unlocks production AI acorss industries.
Where AI-Ready Data Infrastructure
unlocks production AI acorss industries.
These are real deployment patterns across actual enterprise environments.
Each reflects a specific production blocker removed by CUBIG's infrastructure.
These are real deployment patterns across actual enterprise environments.
Each reflects a specific production blocker removed by CUBIG's infrastructure.
Freeze, version, and verify enterprise data into AI-ready states. CUBIG binds every run to a reproducible data state for stable, production-ready AI.
FINANCE
FINANCE
Fraud Detection
& Monitoring
Fraud Detection
& Monitoring
Fraud Detection& Monitoring
PROBLEM
PROBLEM
Rare fraud patterns are underrepresented in training data.
Monitoring pipelines produce inconsistent scores after pipeline updates.
Rare fraud patterns are underrepresented in training data.
Monitoring pipelines produce inconsistent scores after pipeline updates.
CUBIG SOLUTION
CUBIG SOLUTION
DTS expands rare fraud scenarios with synthetic data.
SynTitan stabilizes monitoring pipelines via Release State and Run Binding.
DTS expands rare fraud scenarios with synthetic data.
SynTitan stabilizes monitoring pipelines via Release State and Run Binding.
OUTCOME
OUTCOME
Improved anomaly detection reliability and expanded validation coverage for rare event classes.
Improved anomaly detection reliability and expanded validation coverage for rare event classes.
#DTS
#DTS
#SynTitan
#SynTitan
RETAIL & SALES
RETAIL & SALES
Privacy-SafeCustomer
Analytics
Privacy-SafeCustomer
Analytics
Privacy-SafeCustomer Analytics
Privacy-SafeCustomer Analytics
PROBLEM
PROBLEM
Privacy regulations restrict detailed analysis of customer interaction data.
Analytics pipelines stall at the compliance layer.
Privacy regulations restrict detailed analysis of customer interaction data.
Analytics pipelines stall at the compliance layer.
CUBIG SOLUTION
CUBIG SOLUTION
LLM Capsule anonymizes sensitive identifiers at the interaction layer.
DTS generates privacy-safe analytical datasets for downstream use.
LLM Capsule anonymizes sensitive identifiers at the interaction layer.
DTS generates privacy-safe analytical datasets for downstream use.
OUTCOME
OUTCOME
Customer insights generated and analytics pipelines unblocked — without exposing personal data at any stage.
Customer insights generated and analytics pipelines unblocked — without exposing personal data at any stage.
#DTS
#DTS
#LLM Capsule
#LLM Capsule
INSURANCE
INSURANCE
Customer Interaction
Analytics
Customer Interaction Analytics
Customer Interaction Analytics
PROBLEM
PROBLEM
Customer interaction records contain sensitive data.
Cross-team analysis is blocked by access and privacy constraints.
Customer interaction records contain sensitive data.
Cross-team analysis is blocked by access and privacy constraints.
CUBIG SOLUTION
CUBIG SOLUTION
DTS generates privacy-safe synthetic datasets.
SynTitan ensures reproducible analytics pipelines across teams.
DTS generates privacy-safe synthetic datasets.
SynTitan ensures reproducible analytics pipelines across teams.
OUTCOME
OUTCOME
Complaint classification accuracy improved.
Cross-team analysis enabled without exposing original customer records.
Complaint classification accuracy improved.
Cross-team analysis enabled without exposing original customer records.
#DTS
#DTS
#LLM Capsule
#LLM Capsule
PUBLIC SECTOR
PUBLIC SECTOR
Sentiment& Policy Monitoring
Sentiment& Policy Monitoring
Sentiment& Policy Monitoring
PROBLEM
PROBLEM
Public sentiment signals across media and communities are fragmented and difficult to quantify at the speed policy teams need.
Public sentiment signals across media and communities are fragmented and difficult to quantify at the speed policy teams need.
CUBIG SOLUTION
CUBIG SOLUTION
Synthetic data-driven analytics and agent-based monitoring models built on CUBIG AI-Ready Data Infrastructure.
Synthetic data-driven analytics and agent-based monitoring models built on CUBIG AI-Ready Data Infrastructure.
OUTCOME
OUTCOME
Early detection of opinion leader influence and policy sentiment shifts - before they escalate to public-facing issues.
Early detection of opinion leader influence and policy sentiment shifts - before they escalate to public-facing issues.
#DTS
#DTS
#LLM Capsule
#LLM Capsule
MARKETING
Domain
AI Persona
Trend Research
AI Persona
Trend Research
AI Persona Trend Research
AI Persona Trend Research
PROBLEM
PROBLEM
Traditional consumer surveys require large volumes of personal data and long collection cycles that cannot keep up with trend velocity.
Traditional consumer surveys require large volumes of personal data and long collection cycles that cannot keep up with trend velocity.
CUBIG SOLUTION
CUBIG SOLUTION
Synthetic behavioral data and AI persona simulations built on DTS — no personal data collection required.
Synthetic behavioral data and AI persona simulations built on DTS — no personal data collection required.
OUTCOME
OUTCOME
Trend insights delivered significantly faster — without collecting personal data from survey respondents.
Trend insights delivered significantly faster — without collecting personal data from survey respondents.
#DTS
#DTS
MARKETING
MARKETING
Player Behavior& Community
Analytics
Player Behavior& Community
Analytics
Player Behavior& Community Analytics
Player Behavior& Community Analytics
PROBLEM
PROBLEM
Game telemetry and community sentiment data are fragmented across platforms. Integration and reliable insight generation is complex.
Game telemetry and community sentiment data are fragmented across platforms. Integration and reliable insight generation is complex.
CUBIG SOLUTION
CUBIG SOLUTION
Synthetic augmentation of sparse behavior signals and unified analytics pipelines using CUBIG AI-Ready Data Infrastructure.
Synthetic augmentation of sparse behavior signals and unified analytics pipelines using CUBIG AI-Ready Data Infrastructure.
OUTCOME
OUTCOME
Clear behavioral insights and community sentiment trends — integrated from fragmented data sources into reliable production pipelines.
Clear behavioral insights and community sentiment trends — integrated from fragmented data sources into reliable production pipelines.
#DTS
#DTS
#SynTitan
#SynTitan
Is your AI actually production-ready?
Is your AI actually production-ready?
Is your AI actually production-ready?
Production AI failures cost weeks of incident recovery time.
The root cause is almost always data or execution state - not the model.
Let's find yours in 30 minutes.
Freeze, version, and verify enterprise data into AI-ready states. CUBIG binds every run to a reproducible data state for stable, production-ready AI.
30-min architecture review · no commitment · engineers-first conversation
30-min architecture review · no commitment · engineers-first conversation
Is your AI
actually production-ready?
Production AI failures cost weeks of incident recovery time.
The root cause is almost always data or execution state
- not the model.
Let's find yours in 30 minutes.
30-min architecture review · no commitment · engineers-first conversation
Built for production.
Designed for enterprise constraints.
Built for production.
Designed for enterprise constraints.
Built for production.
Designed for enterprise constraints.
We're not a PoC vendor — we're the production AI infrastructure layer enterprises were missing.
We're not a PoC vendor —
we're the production AI infrastructure layer enterprises were missing.
Freeze, version, and verify enterprise data into AI-ready states. CUBIG binds every run to a reproducible data state for stable, production-ready AI.
Key Numbers
Key Numbers
Key Numbers
15+
We're not a PoC vendor — we're the production AI infrastructure layer enterprises were missing.
10+
Awards & certifications incl. 4 Ministerial Prizes, GS & KISA
10
Patents (8 domestic incl. 3 registered, 2 overseas)
2021
Founded ·
Seongnam-si, Korea ·
UK entity established
15+
We're not a PoC vendor — we're the production AI infrastructure layer enterprises were missing.
10+
Awards & certifications incl. 4 Ministerial Prizes, GS & KISA
10
Patents (8 domestic incl. 3 registered, 2 overseas)
2021
Founded ·
Seongnam-si, Korea ·
UK entity established
15+
We're not a PoC vendor — we're the production AI infrastructure layer enterprises were missing.
10+
Awards & certifications incl. 4 Ministerial Prizes, GS & KISA
10
Patents (8 domestic incl. 3 registered, 2 overseas)
2021
Founded ·
Seongnam-si, Korea ·
UK entity established
15+
We're not a PoC vendor — we're the production AI infrastructure layer enterprises were missing.
10+
Awards & certifications incl.
4 Ministerial Prizes, GS & KISA
10
Patents (8 domestic incl. 3 registered, 2 overseas)
2021
Founded ·
Seongnam-si, Korea ·
UK entity established
15+
We're not a PoC vendor — we're the production AI infrastructure layer enterprises were missing.
10+
Awards & certifications incl. 4 Ministerial Prizes, GS & KISA
10
Patents (8 domestic incl. 3 registered, 2 overseas)
2021
Founded ·
Seongnam-si, Korea ·
UK entity established
Certifications & Recognition
Certifications & Recognition
Certifications & Recognition
Cert
CUBIG
ISO/IEC
27001
2026
Cert
CUBIG
ISO/IEC
42001
2026
Awards
CUBIG
T Challenge
Finalist
2025
Awards
CUBIG
AI EXPO KOREA
Medical
Innovation Award
2025
Recog
CUBIG
Hyper
Synthetic data
Vendor
2025
Recog
CUBIG
Emgerging AI+X
Top100
2026
Cert
CUBIG
KISA
Fast Track
2024
Cert
LLM Capsule
GS
Certified Grade 1
2024
Cert
DTS
GS
Certified Grade 1
2025
Awards
CUBIG
Startup World Cup
Finalist
2024
Awards
CUBIG
NextRise
Global Innovator
2024
Awards
CUBIG
Information
Security
Innovation Award
2024
- #1.
Data Safety Controls
Access control, audit logging, and separation of duties built into the operational workflow.
- #2.
Audit & Traceability
Access control, audit logging, and separation of duties built into the operational workflow.
- #3.
Unusable Execution
Designed to operate within regulated industries. Enterprise-grade data handling principles throughout.
- #4.
Procurement-Friendly
Available via enterprise marketplace channels. Procurement processes supported from first contact.
- #5.
Deployment Options
On-premises, cloud, or enterprise marketplace deployment. Flexible to fit your existing infrastructure and security posture.
- #6.
Data Handling Principles
Raw data boundary enforcement, data minimization, and policy-based handling across all workflows.
Transform how your organisation works with data — secure, seamless, and scalable
Transform how your organisation works with data — secure, seamless, and scalable
Unlock the full power of synthetic data with Cubig — generate, integrate, validate, and analyse multimodal data without ever exposing the original.
Unlock the full power of synthetic data with Cubig — generate, integrate, validate, and analyse multimodal data without ever exposing the original.
Email : [email protected]
CUBIG LTD (United Kingdom)
Company Number: NI735459
Address: 21 Arthur Street, Belfast, Antrim, United Kingdom, BT1 4GA
CUBIG CORP (Republic of Korea)
Business Registration Number : 133-81-45679
E-Commerce Registration : 2023-Seoul-Seocho-2822
Address: 4F, NAVER 1784, 95, Jeongjail-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, Republic of Korea
©️ 2026 CUBIG Corp. All rights Reserved.
Email : [email protected]
CUBIG LTD (United Kingdom)
Company Number: NI735459
Address: 21 Arthur Street, Belfast, Antrim, United Kingdom, BT1 4GA
CUBIG CORP (Republic of Korea)
Business Registration Number : 133-81-45679
E-Commerce Registration : 2023-Seoul-Seocho-2822
Address: 4F, NAVER 1784, 95, Jeongjail-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, Republic of Korea
©️ 2026 CUBIG Corp. All rights Reserved.
Email : [email protected]
CUBIG LTD (United Kingdom)
Company Number: NI735459
Address: 21 Arthur Street, Belfast, Antrim, United Kingdom, BT1 4GA
CUBIG CORP (Republic of Korea)
Business Registration Number : 133-81-45679
E-Commerce Registration : 2023-Seoul-Seocho-2822
Address: 4F, NAVER 1784, 95, Jeongjail-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, Republic of Korea
©️ 2026 CUBIG Corp. All rights Reserved.
Email : [email protected]
CUBIG LTD (United Kingdom)
Company Number: NI735459
Address: 21 Arthur Street, Belfast, Antrim, United Kingdom, BT1 4GA
CUBIG CORP (Republic of Korea)
Business Registration Number : 133-81-45679
E-Commerce Registration : 2023-Seoul-Seocho-2822
Address: 4F, NAVER 1784, 95, Jeongjail-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, Republic of Korea
©️ 2026 CUBIG Corp. All rights Reserved.
Email : [email protected]
CUBIG LTD (United Kingdom)
Company Number: NI735459
Address: 21 Arthur Street, Belfast, Antrim, United Kingdom, BT1 4GA
CUBIG CORP (Republic of Korea)
Business Registration Number : 133-81-45679
E-Commerce Registration : 2023-Seoul-Seocho-2822
Address: 4F, NAVER 1784, 95, Jeongjail-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, Republic of Korea
©️ 2026 CUBIG Corp. All rights Reserved.