TheoSym resource
GPTscore: From Scoring Concept to AI Evaluation
GPTscore is reframed from a rewards concept into evaluation and quality language for AI systems.
How this helps
GPTscore now gives visitors a clear path into TheoSym's current AI consulting, training, and implementation resources. The focus is practical AI systems, useful education, and the right specialist handoff when the work needs lab or enterprise depth.
Current role
GPTscore is no longer presented as an active points, token, or rewards product. The useful idea is now evaluation: measuring AI output quality, safety, usefulness, and repeatability in client systems.
- Reframe points language into AI evaluation and scoring.
- Avoid token, airdrop, and rewards claims.
- Connect evaluation work to consulting, DeepGMP, ChatGMP, LIMS AI, and QGI-style decision records.
How this fits now
AI consulting
Strategy sprints, scoped builds, training, and handover for teams that need production AI.
Aurora TIC lab AI
Regulated lab AI, ChatGMP, LIMSAI, DeepGMP, AI audits, ISO 17025, GMP, and Part 11 workflows now live under Aurora TIC.
QGI engine layer
QGI supplies enterprise-grade reasoning, embeddings, engines, and model architecture when implementation needs decision-grade depth.