TULGATECH AI
A Mathematical Project Intelligence Engine for Construction
24-Month R&D Program ·Cumhuriyet Teknokent
TulgaTech AI is a 24-month R&D initiative developed within Teknokent, focused on reading and analyzing DWG, PDF, and other technical project data through mathematical models — building toward a continuously improving assistant for construction and infrastructure workflows.
⬤ In Development — Early Access Open
WHAT TULGATECH AI IS
More Than a Quantity Tool
TulgaTech AI is not being developed as a basic quantity takeoff program. It is being built as a project intelligence engine — designed to read, interpret, and analyze technical project data such as DWG and PDF files through structured mathematical models.
The goal is not only to extract quantities, but to help create a deeper layer of understanding around technical drawings, project logic, and operational decisions.
WHAT MAKES IT DIFFERENT
Project Reading, Not Just Input Processing
TulgaTech AI is being designed to interpret technical project materials, not merely count predefined fields or rely on manual input.
Mathematical Models at the Core
Its architecture is being shaped around mathematical and structural models for reading, analyzing, and organizing project information.
Beyond Basic Quantity Software
Unlike conventional quantity tools, the aim is not only to calculate outputs, but to support understanding, comparison, and decision logic across the project lifecycle.
An Evolving Assistant Layer
Over time, TulgaTech AI is intended to function more like an assistant than a static tool — helping users interact with project information, learn from workflows, and improve decisions continuously.
WHY IT MATTERS
Technical drawings contain more intelligence than most software can use
Across construction and infrastructure workflows, critical project information is often trapped inside drawings, documents, and fragmented files. Most tools remain limited to narrow outputs or manual workflows. TulgaTech AI is being built around a different premise: that technical project data can be read more deeply, modeled more intelligently, and used more effectively over time.
OUR APPROACH
We begin with real technical inputs — including DWG, PDF, and project-based documentation — rather than simplified demo data.
Read Real Project Data
We work to interpret drawings and documents through mathematical and structural logic, aiming to extract usable project intelligence from technical complexity.
Model the Structure
The long-term goal is a continuously improving assistant that can support analysis, project understanding, and better operational decisions.
Build an Adaptive Assistant
LONG-TERM POTENTIAL
From project analysis to assistant-level support
TulgaTech AI is part of TulgaDigital’s broader platform vision. Over time, it is intended to evolve from technical project reading and quantity support into a more capable assistant layer for planning, interpretation, cost insight, and real-world construction intelligence.
The ambition is not to build another isolated software tool, but a durable intelligence system for technical work.
Built as a Long-Term R&D Effort
TulgaTech AI is being developed within a 24-month Teknokent R&D program, with a focus on mathematical rigor, real project logic, and long-term practical value.