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

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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."