SCIMIND Teknoloji Yazılım Eğitim ve Danışmanlık A.Ş. is based in Gaziantep, Türkiye; it builds a separate platform for each step of research and binds all of them to the same traceability rule.
We build research software: a method library, literature and gap analysis, and a multi criteria decision platform. Each product owns one job end to end and delivers its output together with its sources.
This page is the company's official face: the founding record, the founders, the working principles and the registry entry sit in one place, here.
The products run separately but belong to one chain; if one link loses its source, the next has nothing left to defend.
Ask a general purpose chat tool the same question twice and you get two different pieces of text; how it was assembled is not recorded, so it is not a basis you can defend in front of a reviewer.
SciMind products do not generate text, they run a defined workflow: input, method and intermediate result are written down next to the output, and the same input always gives the same output.
Mission
To support the knowledge production, analysis and evaluation processes of researchers, educational institutions, decision makers and organisations with better digital systems.
Vision
To build AI products for scientific and institutional processes that are reliable, traceable and grounded in domain knowledge.
Both sentences have stayed the same since founding; what changes as the number of products grows is which step is covered, not what is promised.
These four points are not a marketing headline, they are development rules; a product that fails one does not launch.
Natural language is treated not as interface convenience but as a way of structuring the research and decision process.
Computation and analysis run inside defined workflows, not as free generation.
Method selection and result interpretation steps are made verifiable.
Results are reported so that the data, method and processing steps behind them stay visible.
SciMind was founded by two professors from Gaziantep University. The methods behind the products come from their own research fields.
Founding partner
Gaziantep University, Faculty of Education, Department of Mathematics and Science Education
Earned a doctorate in mathematics education at the University of Leeds. Works on scale development, teacher education and curriculum analysis; served as Dean of the Faculty of Education between 2018 and 2020.
Founding partner
Gaziantep University, Faculty of Economics and Administrative Sciences, Department of Business Administration
Works on multi-criteria decision making: the TOPSIS, VIKOR and PROMETHEE families, data mining and statistical learning. The method registry behind DecisionMind came out of this field.
From the outside, research looks like one job; it is not, finding a method, running it on data and defending the result in front of a reviewer are separate kinds of expertise.
We split the academic workflow into twelve steps and gave each one its own product; every product carries the work through to the end with its own data.
Three of these twelve products are live today: ScholarGate, Lacuna and DecisionMind. Where the remaining nine stand is written down on the roadmap page, exactly as it is; none of them is presented as further along than it is.
The line is the output of a sequence, not a list: finding a method, selecting a method, literature and gaps, analysis, qualitative analysis, peer review simulation, defence rehearsal; each step's output is the next one's input.
The three live products are three separate points in the sequence, not the first three: ScholarGate in finding a method, Lacuna in literature and gaps, DecisionMind at the analysis step.
The products run on separate domains and interfaces, but share three things: a rule all of them must follow, not a product feature.
doğal dil, yapılandırılmış istek
tanımlı iş akışı, serbest üretim değil
yöntem seçimi ve varsayım denetimi
hangi veri, hangi yöntem, hangi adım
Künye
bekliyor
The information below is official record. It is the registration data used in contracts, proforma invoices and university procurement processes.
The MERSIS number and trade registry number in this table also appear in the page's structured data; search engines require that declared data also be visible on the page.
Logo files, brand usage rules and press-ready registration text are on the press and brand page. The disclosure notice on personal data processing is on the privacy and KVKK page.
Write to us directly for a demo, an institutional licence, a pilot programme or academic collaboration; for university procurement we prepare proforma invoices and technical specifications.
