GitLab Transcend - Intelligent orchestration
Mini tools
LLM-powered credit scoring that outperforms classical models.
SquareGen
Overview
SquareGen installs proprietary GPT-style scoring systems inside lenders. We take your tabular credit, fraud, or portfolio data, translate it into a representation an LLM reads semantically, and fine-tune a model that produces calibrated default probabilities, a risk class, and a written rationale for every decision.
The output reads like a senior analyst's note, not a feature-attribution chart, which makes it defensible in front of a risk committee, a regulator, and a board.
Variables drop by 50 to 80 percent versus classical stacks, lowering bureau and data-source costs while keeping or beating incumbent AUC. The model lives inside your environment, runs without us, and is yours: weights, source, pipeline, and documentation transferred at close.
It complements rule engines, scorecards, and machine-learning models you already operate rather than replacing them. PoC under NDA in two to four weeks, benchmarked against your incumbent on your own data.
Supported features
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Quantum Computing and Machine Learning specialist with over 15+ years of experience. Ph.D. in Quantum Computing and Master in Data Management. Certified in quantum technologies by BIMTECH, MIT xPro, KAIST, IBM, and Saint Petersburg University. 35+ machine learning and AI projects and 5+ quantum software application prototypes executed.
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