Document management solution
Edit and manage business documents in every format — HWP, Word, PDF, drawings — in a single workflow. Integrates with your other systems to build a document-driven operating structure.
Shipbuilding & defenseAX
Learn moreFrom startups to listed and global enterprises — 140+ companies work with Lattice
The Problem
You adopted an LLM,
but little has actually changed.
Many companies have adopted AI, but few have changed how work actually gets done. In the field, we have found four reasons why.
01
Deeply embedded tacit knowledge
Frontline experience and decision criteria accumulate only in individuals, never codified into a form AI can learn from.
02
Lack of domain expertise
Generic AI that doesn't understand the vocabulary of the field or the industry's own data rarely survives real work.
03
Automation stuck at the individual level
It trims one person's repetitive tasks, but never becomes a change in company-wide workflows.
04
A fragmented approach
Data carries no context and no connected relationships, leaving AI without a foundation to understand and decide.
How we serve
Lattice stays with your project from start to finish.
Lattice engineers (FDEs) analyze the work on-site and carry it through directly, from data definition to system implementation. We can start together even if your data is not organized yet.
01
Work analysis
Through intensive sessions with your teams we break the work down into fine-grained units and absorb the tacit knowledge until we understand it as well as your own staff. Every step is codified, and we define the goals together.
- Task breakdown and process maps
- Interviews and recorded decision criteria (tacit knowledge)
- Survey of data sources and access rights
- Agreed project goals and scope
02
Domain-driven system design
Grounded in domain expertise, we build a database that carries real context, then design the company-wide workflow and architecture on top of it — an operating layer where AI understands context, decides, and acts.
- Unstructured data (documents, drawings) turned into a contextual DB
- Domain ontology and metadata design
- AI tuned to the characteristics of the domain
- AI agents used in day-to-day work
03
System integration
We build the system designed around your workflows and domain knowledge. It meets the security requirements of air-gapped networks such as defense and secure intranets, and supports on-premise deployment.
- Continuous feedback from frontline users
- Integration with groupware, ERP, and internal databases
- Security review and air-gapped deployment procedures
- Installation and maintenance of industry-specific models
Industries
We deliver industry-specific systems.
We build tailored systems in the most security-demanding fields — shipbuilding, defense, and legal.
INDUSTRY 01
Shipbuilding
Sample screen · dummy data
Shipbuilding specification management system
Challenge
Specifications running to thousands of pages are handled by several design organizations at once, so keeping revisions aligned with the baseline specification consumed a great deal of time.
Approach
Building on an understanding of the design process, we structured every specification article into a database, built a single-workflow management system on top of it, and streamlined the work with AI agents.
- Automated standard specification generation
- Article-level revision and approval management
- Vendor document and POS integration
MORE CASES
- Design work automationWe automate the repetitive work that arises during offshore plant and merchant vessel design, and turn it into a reusable asset.Shipbuilding design
INDUSTRY 02
Defense
Sample screen · dummy data
Design and production knowledge management system
Challenge
The tacit knowledge accumulated through design and construction was vast, and there was no system to carry an individual's experience over into an asset for the whole organization.
Approach
We convert tacit knowledge held as unstructured data into a database and manage it as an ontology graph together with its context, so AI can retrieve the accumulated knowledge through RAG and apply it to real work.
- Unstructured tacit knowledge converted to a DB
- Unified management via ontology graph
- RAG-based knowledge retrieval
MORE CASES
- Unit-level knowledge accumulation and analysis systemAn on-device LLM that runs with no external network connection makes unit-level knowledge usable, strengthening readiness and combat response.ROK Army (PoC)
INDUSTRY 03
Legal
Sample screen · dummy data
Contract workflow automation
Challenge
Financial and real estate contracts, whose terms differ with every transaction, came up constantly — and drafting them and preparing the paperwork took considerable time.
Approach
We generate contracts automatically from the information that varies per transaction, and build the list of documents to be collected so they are gathered automatically.
- Contracts generated from transaction data
- Required-document lists generated and collected automatically
- E-signature and execution integration
MORE CASES
- AI contract management systemWe built an AI contract management system supporting contract generation, review, and legal review.
- Platform-integrated contract managementWe integrated e-contracting into a client's platform service, supporting execution and management of agreements between partners and users.
Products
We build custom systems on proven solutions.
We use the solution that fits each project, shortening the path from adoption to operation.
About Us
Lattice is an enterprise AI company
growing fast alongside its clients.
- The name Lattice comes from the 'Latticework of Mental Models' that Berkshire Hathaway's Charlie Munger described as a tool for thinking rationally.
- Our mission is to help clients succeed by solving their problems at the root, grounded in deep expertise in B2B business.
Let's start with Lattice
We start with defining the problem. Leave us a message and we'll get back to you within one business day.
9E, 172 Yeoksam-ro, Gangnam-gu, Seoul, Republic of Korea