Question 1

How is Neurorbis different from ChatGPT for patent research?

Accepted Answer

Neurorbis uses retrieval augmented generation built on a curated database of 16,500 decoded patents and 10,000 research papers. Every answer includes specific patent and paper citations that users can verify. General AI tools generate from training data and can hallucinate patent numbers. Neurorbis is designed for R&D investment decisions where accuracy and verifiability are critical.

Question 2

How is Neurorbis different from PatSnap?

Accepted Answer

Horizontal patent platforms search broadly across hundreds of millions of patents. Neurorbis goes deep on one domain at a time — solid-state batteries — and has decoded every patent into 8 structured tabs of readable English analysis including executive summary, main problem, core solution, experimental validation, and commercial relevance. This provides strategic insight rather than search results.

Question 3

How many solid-state battery patents has Neurorbis analyzed?

Accepted Answer

Neurorbis has decoded 16,500 solid-state battery patent families into 8-tab structured analysis, summarized 10,000 research papers, and profiled 200+ organizations. All documents are classified using a patent-pending problem-solution taxonomy covering 12 core technical challenges including manufacturing scale-up, electrolyte ionic conductivity, dendrite suppression, and cathode-electrolyte interface stability.

Question 4

What does the Neurorbis dashboard cost?

Accepted Answer

Neurorbis offers entry from $2,500 for a 30-day Explorer Pass, $5,000 for an Intelligence Snapshot with strategic brief, $8,000 for a Portfolio Mirror with gap analysis, up to $30,000 per year for full Dashboard Standard access and $50,000-$75,000 per year for Dashboard Enterprise with portfolio mapping and quarterly briefings. All lower-tier spending credits toward the annual subscription within 90 days.

Question 5

What technology domains does Neurorbis cover?

Accepted Answer

Solid-state batteries is the first live domain with 16,500 decoded patents. GLP-1 and obesity therapeutics is planned for Q3 2026, green hydrogen for Q4 2026, and perovskite solar for 2027. The patent-pending problem-solution methodology is designed to work across any frontier technology domain.

Question 6

Can the Neurorbis AI hallucinate patent information?

Accepted Answer

Neurorbis uses retrieval augmented generation, retrieving answers from a curated pre-analyzed database rather than generating from training data. Every response includes specific citations that users can click to verify against original patents and papers. If the answer is not in the database, the AI says so rather than fabricating information.

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