KnowledgeBuilder
Turn Past Know-How
Into Design Intelligence

What used to be buried in folders is now instantly searchable. KnowledgeBuilder connects past decisions and insights to current challenges – fuelling smarter design and fewer repeated mistakes.

Unstructured past project data

  • Drawings
  • Photos
  • Written Reports
  • Handwritten Markups
  • Meeting Minutes

Knowledge Builder

Learning from past projects

Knowledge
Builder

Data structuring and
integrated management

Structured & searchable knowledge

Experienced
Know-how
Frequently Used
Standard Designs
Common
Quality Mistakes

Data Extraction
Using Natural Language

With simple natural language instructions, you can structure data from a wide range of files – such as construction drawings, proposals, photos, meeting minutes, and reports. This allows even non-engineers to configure and extract information themselves.

1Input Prompt

Model:
openai-gpt-4-omni
Save as:
String
Prompt:
Extract the drawing type. Information is usually in the drawing title.

2Extract

Drawing

3Structure

File Attributes

Drawing Title
First Floor Plan
Drawing No.
A202
First Issue Date
13.06.25
Purpose of Drawing
For coordination
Last Revision Number and Date
Revision: 1, Date: 13.06.25
Level
Level 1
Drawing Type
Floor Plan

Compatible with Different Formats
Using Same Instructions

Urban Planning Division — Internal Memorandum

Date: 15 March 2023
Prepared by: John Atkinson, Senior Planner

Subject: Preliminary Site Analysis for Proposed Development

Site Overview

  • Project Site: London, Westminster
  • Site Area: 32,878.21 m2
  • Type of Construction: Main building work
  • Road Access:
    • Length: 215.36m
    • Width: 17m

Environmental impact assessments and heritage constraints for the surrounding boroughs are currently under review. This document is intended to summarize the essential spatial and infrastructure information available at this stage. Please consult Appendix A for maps and Appendix B for soil reports.

TENOR INFRASTRUCTURE GROUP
Construction Feasibility Report

Report ID: TKG-NLC-ISL/2024-08
Issued: August 2024
Prepared for: London Borough of Islington

Construction Overview

  • Project name: Tektome High School – New Library Construction
  • Location: Islington, London
  • Site area: 82,142.95 m2
  • Type of construction: New construction

The purpose of this report is to provide an outline of the land allocation, buildable footprint, and initial scope for the library facility adjacent to the main school building. The site has been cleared, and topographical surveys are complete. Additional documentation regarding zoning approval and community engagement plans are attached in Annexes C and D.

Extract location

Extract site area

Extract
construction type

Location Site Area (sqm) Construction Type
Westminster, London 32,878.81 Main building work
Islington, London 82,142.95 New construction
Richmond, London 276,118.84 New construction

Formats and attributes can be fully customised depending on your preferences.

When a new document is uploaded, KnowledgeBuilder automatically performs extraction according to your pre-set rules.

Data Structuring Method

Compared to conventional systems, Tektome KnowledgeBuilder offers higher flexibility and features that better match real-world needs.

Database
Construction
Method

  • User
  • Extraction
    Items
  • Execution

Conventional System

  • Requires support from the system department and responses can take time

  • Only items predefined
    during the initial database
    design can be used

  • Time consuming to
    run on a frequent basis

RAG System

Provides no structuring capability, only usable as a database

KnowledgeBuilder

  • Users can
    configure the database

  • New Items can be added
    as needed
    depending on the situation and project

  • Allows data extraction anytime
    by simply uploading a document

KnowledgeBuilder in Action

Success Story

Company

Leading Japanese construction company

Problem

Difficulty accessing past drawings, weak knowledge transfer and efficiency

Task

Develop a structured database by extracting a vast amount of custom attributes from drawings, meeting notes, images and other project files to enable advanced search capabilities.

Solution

Past Projects

300 projects over the past 5 years. 60,000 drawings, handwritten
markups and images.

Auto Structuring

Set Attributes

Set any attribute for architectural, structural, MEP, etc., drawings. All attributes are customisable by user.

Search

Use natural language queries to search within the vast amount of available data.

Drawings

Reference designs and how the drawings were made
Project Name Building Usage Complete Date
Albion Quarters Residential 2022-04
IsarTech Hub R&D Center 2021-12
Pacific Vista Center Convention Hall, Hotel 2023-10
Horizon Tower Office, Hotel 2010-05
Miradouro Residence Residential 2018-07
Fulton Labs West Science Lab 2015-11
Rhone Riverside Commerce 2025-01
St.Edrick’s Academy Secondary School 2023-10
  • Search for schools completed
    after 2020
  • Show detailed floor plans of convention halls with conference rooms

Handwritten Mark-ups

Find frequent human errors or advice from experts
Drawing Name Keywords Markups
Floor Plan – Level 1 Consistency, missing … Check consistency of …
Roof Detail waterproofing, expan… Ensure roof expansion…
Detail Section insulation, heat bridge… Thermal break missing…
Staircase Detail stairs, shafts, … Stair enclosure should…
Door Schedule fire rating, specification Fire rating not …
Floor Plan – Level 5 path distance, … Verify egress path …
South Elevation material tags, finish … Missing material tags …
Balcony Detail balcony, safety, … Balcony handrails do …
  • Find frequent markups on
    roof details
  • Find comments
    regarding insulation

Images

Prevent serious issues
learned from the past
File Name Interior/Exterior/… Keywords
IMG_3821.JPG Interior lobby, double-height, …
DSC_9045.JPG Interior elevator hall, oak, …
IMG_7532.HEIC Exterior high-rise, glass …
SNA_2025076_03.png Interior stair, skylight, …
Photo18-07-05_site.jpg Exterior retail, metal facade, …
CAM_1425_IMG.TIFF Exterior brick, steel, heritage…
SITE_IMG_E0475.jpg Landscape urban garden, wood…
  • Find examples of glass facades
  • Search for detailed photo of wood cladding

Result

Thanks to Tektome KnowledgeBuilder and KnowledgeLink, the construction company efficiently retrieved critical drawings, ensuring seamless knowledge transfer and significantly enhancing operational efficiency

Product FAQs

What can I use KnowledgeBuilder for?
KnowledgeBuilder transforms unstructured files like past project drawings, reports, and meeting notes into structured, searchable knowledge. This allows your team to avoid repeating past mistakes, reuse internal know-how, and spark design innovation with AI-assisted insights.
What file formats does KnowledgeBuilder support?
KnowledgeBuilder supports a variety of formats, including scanned PDFs, CAD drawings, proposals, photos, and meeting minutes. It uses AI to extract key data regardless of layout or format, making it highly flexible across different document types.
Are my company’s files safe while using your system?
Yes. KnowledgeBuilder is built with enterprise-grade security as a core principle. We are certified under ISO/IEC 27001:2022 and AICPA SOC, ensuring our platform follows globally recognized standards for data confidentiality, integrity, and availability. This includes encrypted data storage and transmission, secure access protocols, continuous compliance monitoring, and regular audits. Whether you're managing requirements, collaborating with stakeholders, or exporting reports, your data is protected every step of the way.
How can I start using KnowledgeBuilder, how to download it?
There's no need to download anything. KnowledgeBuilder is accessed via the Tektome platform. To get started, you can request a free trial, upload your files directly (e.g., Revit or PDFs), and follow a guided setup with support from the Tektome team.