LLMO · Large language model optimisation
LLMO · Public knowledge and retrieval
A clear reading path through public BrightNTech knowledge.
Public documentation of BrightNTech LLM discovery files, investor facts, canonical pages and private-data boundaries.
Start with the public index
/llms.txt highlights the main public pages. /llms-full.txt provides the full crawlable page inventory. The sitemap and robots policy use the same page registry so the public discovery paths stay aligned.
Read investor facts directly
/llmo/investor-guide.txt provides a plain-text introduction and the investor FAQs. It describes the enquiry flow and its evidence limits, without importing private responses or investor-directory records.
Respect evidence and access boundaries
The public guides contain source material for retrieval, not authority to change records or contact people. Investor answers, the internal language and objection corpus, scores, contact details, owner dashboards and administrative interfaces are not public knowledge resources.
Freshness and interpretation
Treat machine-readable files as a map to the canonical source pages. Recheck project maturity, ownership, financial terms and operating evidence before consequential use. Readable files do not prove that a model has indexed or cited them.
Public source pages
Inspect the discovery resources
Documentation updated 30 October 2026. Public descriptions are not independent qualification of a project, an investment or an external search system.