DATA & KNOWLEDGE CONSTRUCTION

Beyond data,
into AI knowledge

We build high-quality training data — and go further, designing the knowledge that lets AI agents understand your business context. With 1,500 specialists and 6 nationwide branches behind 200+ projects over 6 years, we deliver data and knowledge at 99% accuracy, all in one stop.

150+ clients110,000h+ of data1,500 specialists99% accuracy
Data specialists designing a knowledge graph and ontology together — from training data construction to AI agent knowledge construction
BY THE NUMBERS

Data & knowledge construction, in numbers

150+Data construction clients
200+Projects delivered
1,500Data specialists
110,000h+Data constructed
114,500h+Training data
99%Data accuracy
Data being structured into a verified knowledge graph — from data construction to knowledge construction
Data as the biggest barrier to AI adoption — a humanoid AI in front of piles of unorganized, unstructured data
THE CHALLENGE

The biggest barrier to AI adoption
is the data

  • Garbage in, garbage out — an AI model's performance ultimately comes down to data quality.
  • Scattered unstructured data (voice, text, logs) yields little value without real domain knowledge of the work.
  • Even after massive time and cost spent on data processing, the actual gains in AI training are often marginal.
TIMBEL'S EDGE

Language-expert DNA:
data expertise that reads the context of work

  • From human language to machine language — we have structured unstructured data (voice, text) in environments where reading intent and context with precision matters most.
  • Our deep understanding of human language has become a distinctive capability for capturing the business signals machines miss.
  • In environments that demand real-time decisions, accurate data interpretation dramatically raises AI system performance.
Data expertise that reads the context of work — a hand holding an AI chip
01
PILLAR 01 · TRAINING DATA

Training data construction

We collect, refine, and process speech, text, and multimodal data to produce the high-quality source data your AI will learn from.

Speech waveforms, documents, and images — multimodal data being structured into refined training datasets

Speech data collection

  • Multi-channel recording — near-field, far-field, noisy
  • Diverse speech types: spontaneous, read, and meeting transcripts
  • Voices across regions, ages, genders, and non-native speakers

Text & corpus collection

  • Structured and unstructured data collection
  • Existing dialogue collection and corpus construction
  • High-quality documents sourced per domain

Speech data refinement

  • Large-scale speech data processing
  • Draft transcription powered by speech recognition
  • In-house big datasets and comparative evaluation

Multimodal (video & image)

  • Video and image data collection and labeling
  • Training data construction for vision AI
  • Multimodal data refinement and processing
02
PILLAR 02 · AGENT & KNOWLEDGE

Agent scenario & knowledge construction

Beyond data — we design the scenarios, knowledge, and ontologies that let AI agents understand the context of your work.

Scenarios and conversation flows connecting to an AI core and a knowledge graph (ontology)

AI agent scenario design

  • Intelligent conversation flows that engage customers
  • Business logic and branching scenario design
  • Optimized interaction (UX) flows

Knowledge & ontology construction

  • Structuring internal documents and data
  • Knowledge base (KB) and ontology design
  • Structuring AI, CRM, and business data

RAG & grounded generation

  • Auto-generated answers and outputs grounded in evidence
  • Minimized hallucination
  • Retrieval-augmented generation (RAG) pipeline construction

LLM training datasets

  • Domain-specific LLM dataset collection and processing
  • Pre-training and fine-tuning data construction
  • Ethics and safety guardrail and filtering design
HOW WE DELIVER

One-stop service and flexible collaboration models

Across both pillars — from consulting through collection, processing, and inspection, delivered one-stop and in the collaboration model that fits your project.

Data project consulting and management

Project consulting & management

Drawing on 200+ data construction projects, we design and manage the data collection and processing solution best suited to your project.

Data collection and processing

Data collection & processing

With 1,500+ data specialists and inspection managers, we collect and process accurate data at scale across a wide range of domains.

Smart data process construction

Smart data process

We run a smart process built for high-quality data delivery, with AI data experts accountable for 99% accuracy.

Nationwide pool of data specialists

Nationwide specialist pool

Backed by 6 nationwide branches and a deep pool of data construction talent, we match and dispatch the right people for every project.

FLEXIBLE COLLABORATION
ARole-sharing consortium

We combine each company's strengths to deliver projects jointly. (Timbel — data, knowledge, scenarios / Partner — AI technology, sales)

BProfessional services

We take full ownership of a specific area of your project — such as data or scenarios — as a dedicated professional service.

QUALITY 99%

High-quality data at 99% accuracy

Domain specialists, a 1:1 matched inspection system, and a dedicated project manager together guarantee 99% accuracy.

STEP 01
Specialist staffingExpert labelers are grouped by domain and difficulty, then assigned to the task.
STEP 02
1:1 matched cross-inspectionEach worker is matched 1:1 with a reviewer, with reviewer cross-checks on top.
STEP 03
99% accuracy guaranteedProject-manager oversight guarantees data with an error rate under 1%.
STEP 04
Recognition-rate reportWe measure speech recognition accuracy before and after training and deliver a comparison report.
PEOPLE & INFRASTRUCTURE

1,500 specialists and
large-scale production infrastructure

We maintain Korea's largest standing workforce of data specialists, delivering high-quality data reliably even on short timelines. Our isolated, access-controlled data facilities eliminate data security risk — and we also support in-house work at your site.

  • Dedicated data managers + 1,500 expert labelers
  • Network of 6 nationwide branches
  • Rigorous security: secured work rooms, CCTV, and more
  • On-site (in-house) deployment at client facilities available
Timbel data production facility — specialists working in a large-scale work room
Full-scale data production facilities, with client in-house work available
Large-scale work room with state-of-the-art facilities
Work rooms with state-of-the-art facilities
Rigorous security management with CCTV and control-room monitoring
Systems for rigorous security management
Large training rooms for developing specialist staff
Large training rooms for professional education
PROVEN RESULTS

Capability proven on real business problems

Case 1 · Retail / Commerce

Knowledge design for return & exchange prediction

We built VOC and consultation data into training data, then designed the knowledge behind a return-and-exchange prediction model — sharpening the AI's performance.

Key resultFAQ & consultation-template recommendation accuracy of 92%
Case 2 · Finance / Insurance

Scenario design for an AI financial-support call bot

We structured knowledge from consultation logs and product terms, and designed the core scenarios for an AI financial-support call bot pilot — lifting customer satisfaction.

Key resultFinancial product recommendation RAG accuracy of 93%
REFERENCES

Deep experience across data construction projects

150+ clients in total · 110,000+ hours of large-scale data construction

Government projects
68,600hours
Public institutions
7,577hours
Financial sector
12,341hours
Enterprises
26,005hours
Timbel's key data construction clients — Ministry of Justice, National Institute of Korean Language, Financial Supervisory Service, Samsung, LG, KB Kookmin Bank, Constitutional Court of Korea, and more

2025 council meeting minutes · 2024 LG AI Research training data · civil-complaint LLM pre-training · speech-subtitle parallel corpus (TTA) — spanning government, public, finance, and enterprise

High-quality AI training data, built with Timbel

From data construction project consulting to collection, processing, and inspection — ask us anything.

FAQ

Frequently asked questions

What does the data & knowledge construction service provide?
We provide one-stop construction of high-quality training data plus knowledge design that lets AI agents understand your business context. The service has two pillars: (1) training data construction (speech, text, multimodal) and (2) agent scenario & knowledge construction (KB, RAG, and LLM training datasets).
What kinds of data do you build?
We cover speech data collection (multi-channel recording; region, age, gender, and non-native speech), text and corpus collection, speech data refinement, and multimodal labeling and refinement for video and images. We also build RAG grounding data and training datasets for LLM pre-training, fine-tuning, and guardrails.
How do you inspect data quality?
In addition to assigning domain specialists, we run 1:1 worker-to-reviewer cross-inspection with a dedicated project manager, guaranteeing 99% data accuracy.
What is the scale of your experience?
We have served 150+ data construction clients across 200+ projects over 6 years, with a pool of 1,500 data specialists and 6 nationwide branches. Our track record includes 110,000+ hours of data construction and 114,500+ hours of training data.
What collaboration models are available?
Two models: (A) Role-sharing consortium — we handle data, knowledge, and scenarios while a partner handles AI technology and sales. (B) Professional services — we take full ownership of a specific area of your project, such as data or scenarios.
How is data security handled?
Timbel holds ISO/IEC 27001, 27017, and 27018 international security certifications, and supports fully on-premises processing so that voice and document data never leave your environment. The exact security configuration is tailored to each project.