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Glidelogic Corp. (OTCQB: GDLG) Highlights Independent SOTA Evaluation of ResearchMind Platform

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Glidelogic Corp. (GDLG) has announced independent State-of-the-Art (SOTA) scoring results for its ResearchMind AI research-proposal platform. The evaluation, conducted by a postdoctoral researcher, revealed ResearchMind achieved a baseline SOTA score of 8.5/10, compared to OpenAI ChatGPT's 9.5 and other specialized deep-research engines scoring 8.8-9.2.

Following a recent model update incorporating enhanced prompt-engineering modules and reference-validation engine, ResearchMind's score improved to 8.8-9.0. The SOTA evaluation framework assessed five key dimensions:

  • Scholarly Context & Literature Review (30%)
  • Methodological Soundness (30%)
  • Innovative Contribution (15%)
  • Argumentation & Clarity (15%)
  • Ethical & Practical Viability (10%)

CEO Yitian Xue highlighted that ResearchMind now delivers B+ to A- level proposals and can reduce proposal development time from days to under an hour.

Glidelogic Corp. (GDLG) ha annunciato risultati indipendenti all'avanguardia (SOTA) per la sua piattaforma di ricerca ResearchMind AI. La valutazione, condotta da un ricercatore post-dottorato, ha mostrato che ResearchMind ha raggiunto un punteggio base SOTA di 8,5/10, rispetto al 9,5 di OpenAI ChatGPT e agli 8,8-9,2 di altri motori di ricerca specializzati in ricerche approfondite.

Dopo un recente aggiornamento del modello che ha integrato moduli migliorati di prompt-engineering e un motore di validazione delle fonti, il punteggio di ResearchMind è salito a 8,8-9,0. Il framework di valutazione SOTA ha analizzato cinque dimensioni chiave:

  • Contesto accademico e revisione della letteratura (30%)
  • Solidità metodologica (30%)
  • Contributo innovativo (15%)
  • Argomentazione e chiarezza (15%)
  • Fattibilità etica e pratica (10%)

Il CEO Yitian Xue ha sottolineato che ResearchMind ora offre proposte di livello B+ a A- e può ridurre il tempo di sviluppo delle proposte da giorni a meno di un’ora.

Glidelogic Corp. (GDLG) ha anunciado resultados independientes de última generación (SOTA) para su plataforma de propuestas de investigación ResearchMind AI. La evaluación, realizada por un investigador postdoctoral, reveló que ResearchMind alcanzó una puntuación base SOTA de 8.5/10, en comparación con 9.5 de OpenAI ChatGPT y otros motores especializados en investigación profunda que obtuvieron entre 8.8 y 9.2.

Tras una reciente actualización del modelo que incorporó módulos mejorados de ingeniería de prompts y un motor de validación de referencias, la puntuación de ResearchMind mejoró a 8.8-9.0. El marco de evaluación SOTA consideró cinco dimensiones clave:

  • Contexto académico y revisión bibliográfica (30%)
  • Solidez metodológica (30%)
  • Contribución innovadora (15%)
  • Argumentación y claridad (15%)
  • Viabilidad ética y práctica (10%)

El CEO Yitian Xue destacó que ResearchMind ahora ofrece propuestas de nivel B+ a A- y puede reducir el tiempo de desarrollo de propuestas de días a menos de una hora.

Glidelogic Corp. (GDLG)가 자사의 ResearchMind AI 연구 제안 플랫폼에 대한 독립적인 최신 기술(SOTA) 평가 결과를 발표했습니다. 박사 후 연구원이 수행한 평가에서 ResearchMind는 10점 만점에 8.5의 기본 SOTA 점수를 기록했으며, 이는 OpenAI ChatGPT의 9.5점과 다른 전문 심층 연구 엔진의 8.8-9.2점과 비교됩니다.

최근 향상된 프롬프트 엔지니어링 모듈과 참조 검증 엔진을 포함한 모델 업데이트 이후 ResearchMind의 점수는 8.8-9.0으로 향상되었습니다. SOTA 평가 프레임워크는 다섯 가지 핵심 요소를 평가했습니다:

  • 학술적 맥락 및 문헌 검토 (30%)
  • 방법론적 타당성 (30%)
  • 혁신적 기여 (15%)
  • 논증 및 명확성 (15%)
  • 윤리적 및 실용적 실행 가능성 (10%)

CEO Yitian Xue는 ResearchMind가 이제 B+에서 A- 수준의 제안을 제공하며 제안 개발 시간을 수일에서 1시간 이내로 단축할 수 있다고 강조했습니다.

Glidelogic Corp. (GDLG) a annoncé des résultats indépendants de pointe (SOTA) pour sa plateforme de propositions de recherche ResearchMind AI. L’évaluation, réalisée par un chercheur postdoctoral, a révélé que ResearchMind a obtenu un score SOTA de base de 8,5/10, comparé à 9,5 pour OpenAI ChatGPT et entre 8,8 et 9,2 pour d’autres moteurs de recherche spécialisés en recherches approfondies.

Suite à une récente mise à jour du modèle intégrant des modules améliorés d’ingénierie de prompts et un moteur de validation des références, le score de ResearchMind est passé à 8,8-9,0. Le cadre d’évaluation SOTA a examiné cinq dimensions clés :

  • Contexte académique et revue de littérature (30%)
  • Solidité méthodologique (30%)
  • Contribution innovante (15%)
  • Argumentation et clarté (15%)
  • Viabilité éthique et pratique (10%)

Le PDG Yitian Xue a souligné que ResearchMind propose désormais des propositions de niveau B+ à A- et peut réduire le temps de développement des propositions de plusieurs jours à moins d’une heure.

Glidelogic Corp. (GDLG) hat unabhängige State-of-the-Art (SOTA) Bewertungsergebnisse für seine Forschungsplattform ResearchMind AI bekanntgegeben. Die Bewertung, durchgeführt von einem Postdoktoranden, ergab, dass ResearchMind eine Basis-SOTA-Punktzahl von 8,5/10 erreichte, im Vergleich zu OpenAI ChatGPT mit 9,5 und anderen spezialisierten Tiefenforschungsmaschinen mit 8,8-9,2.

Nach einem kürzlichen Modell-Update, das verbesserte Prompt-Engineering-Module und eine Referenzvalidierungs-Engine integrierte, verbesserte sich ResearchMinds Punktzahl auf 8,8-9,0. Der SOTA-Bewertungsrahmen bewertete fünf zentrale Dimensionen:

  • Wissenschaftlicher Kontext & Literaturübersicht (30%)
  • Methodische Fundierung (30%)
  • Innovativer Beitrag (15%)
  • Argumentation & Klarheit (15%)
  • Ethik & praktische Umsetzbarkeit (10%)

CEO Yitian Xue betonte, dass ResearchMind nun Vorschläge im B+ bis A- Bereich liefert und die Entwicklungszeit von Vorschlägen von Tagen auf unter eine Stunde reduzieren kann.

Positive
  • Platform performance approaching top AI models (8.8-9.0 SOTA score)
  • Significant time efficiency: reduces proposal development from days to under one hour
  • Independent validation of technology effectiveness
Negative
  • Still performs below leading competitor ChatGPT (9.5 score)
  • Trails behind other specialized deep-research engines (8.8-9.2 range)

CULVER CITY, Calif., April 22, 2025 (GLOBE NEWSWIRE) -- via IBN -- Glidelogic Corp. (USOTC: GDLG, "Glidelogic", "the Company") today announced the results of an independent State-of-the-Art ("SOTA") scoring assessment for its ResearchMind AI research-proposal platform. Conducted by a postdoctoral researcher in collaboration with Glidelogic's R&D team and benchmarked under OpenAI's O-3 model, the study provides external validation of ResearchMind's advancement toward expert-level proposal generation.

In the latest evaluation, ResearchMind achieved a baseline SOTA score of 8.5 out of 10—benchmarked against OpenAI ChatGPT's 9.5 and other specialized deep-research engines in the 8.8–9.2 range. Following last weekend's model update, which integrated enhanced prompt-engineering modules and a rigorous reference-validation engine, ResearchMind's score has risen to 8.8–9.0, positioning it within striking distance of top general-purpose models.

Positioning ResearchMind Within the SOTA Evaluation Landscape

State-of-the-Art scoring is a holistic, rubric-driven framework recognized by leading academic journals and conference committees. Each AI-generated proposal is evaluated on a continuous 0–10 scale across five weighted dimensions:

  • Scholarly Context & Literature Review (30%): Coverage of seminal and recent works, appropriate citation provenance, and critical synthesis of prior art.
  • Methodological Soundness (30%): Clarity of experimental design, reproducibility criteria, statistical rigor, and alignment with best-practice protocols.
  • Innovative Contribution (15%): Novelty of hypotheses, interdisciplinary integration, potential to advance theoretical or applied understanding.
  • Argumentation & Clarity (15%): Structural coherence, logical flow, precision of language, and alignment with academic style conventions.
  • Ethical & Practical Viability (10%): Consideration of ethical implications, feasibility analysis, and real-world implementation pathways.

A combined score above 8.5 indicates that an AI-generated proposal meets or exceeds the standards typical of high-impact conference submissions and peer-reviewed publications—effectively narrowing the gap between automated drafting and expert-authored scholarship.

"These independent benchmarks validate our domain-tuned optimization strategy," said Yitian (Fred) Xue, CEO of Glidelogic Corp. "ResearchMind now delivers B+ to A– level proposals—approaching the capabilities of the leading LLMs—while avoiding their cost overhead and uncontrolled content generation. Critically, what previously required several days of concerted effort by research teams can now be accomplished in under an hour, accelerating the entire proposal development cycle."

Glidelogic views these findings not as a conclusion, but as a baseline for ongoing innovation. Future releases will expand our SOTA evaluation to include live-data case studies, cross-disciplinary interoperability, and adaptive learning components—further raising the bar for AI-driven research assistance.

For more information about ResearchMind's capabilities or to request a trial, please visit the official platform website at https://dr.glidelogic.ai.

About the Company

Glidelogic Corp. (OTCQB: GDLG) is an AI technology leader focused on streamlining research and development workflows. Its flagship ResearchMind platform leverages advanced prompt engineering and proprietary model architectures to produce structured, methodologically robust proposals tailored to the needs of academic institutions, corporate R&D teams, and policy organizations. For more information, please visit https://www.glidelogic.ai/.

Forward-Looking Statements

This release contains "forward-looking statements" within the meaning of the safe harbor provisions of the U.S. Private Securities Litigation Reform Act of 1995. Forward-looking statements may also be included in other publicly available documents issued by the Company and in oral statements made by our officers and representatives from time to time. These forward-looking statements are intended to provide management's current expectations or plans for our future operating and financial performance, based on assumptions currently believed to be valid.

They can be identified by the use of words such as "anticipate," "intend," "plan," "goal," "seek," "believe," "project," "estimate," "expect," "strategy," "future," "likely," "may," "should," "would," "could," and "will" in connection with a discussion of future operating or financial performance.

Examples of forward-looking statements include, among others, statements relating to future sales, earnings, cash flows, results of operations, uses of cash, and other measures of financial performance. Because forward-looking statements relate to the future, they are subject to inherent risks, uncertainties, and other factors that may cause the Company's actual results and financial condition to differ materially from those expressed or implied in the forward-looking statements.

Such risks, uncertainties, and other factors include but are not limited to, economic conditions, changes in laws or regulations, demand for the Company's products and services, competitive effects, and other factors that could cause actual results to differ materially from those projected in the forward-looking statements. Any forward-looking information provided in this release should be considered with these factors in mind. The Company assumes no obligation to update any forward-looking statements contained in this report.

Contact Information

Glidelogic Corp.
Address: 11264 Playa Court, Culver City, CA 90230
Phone: (310) 397-2300
Email: pr@glidelogic.ai

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FAQ

What SOTA score did Glidelogic's (GDLG) ResearchMind achieve after its latest update?

After the latest model update, ResearchMind achieved a SOTA score of 8.8-9.0, up from its baseline score of 8.5/10.

How does GDLG's ResearchMind compare to OpenAI's ChatGPT in research proposal generation?

ResearchMind scored 8.8-9.0, approaching but still below ChatGPT's score of 9.5, while offering specialized research proposal capabilities.

What are the five evaluation dimensions for Glidelogic's ResearchMind SOTA assessment?

The five dimensions are Scholarly Context & Literature Review (30%), Methodological Soundness (30%), Innovative Contribution (15%), Argumentation & Clarity (15%), and Ethical & Practical Viability (10%).

How much time can researchers save using GDLG's ResearchMind platform?

According to Glidelogic, ResearchMind reduces proposal development time from several days to under an hour.
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