Talkshi Research

Talkshi Research is the editorial label for Talkshi's structured market maps and source-audited company analyses. It is operated by Raymond Xu.

How the funding tracker is produced

1. Start with a dated public company, investor, issuer-release, or reputable reporting source.
2. Record the announcement date, amount, round wording, investors, stated use of proceeds, official website, and one additional funding-context fact.
3. Keep totals-to-date, extensions, combined rounds, strategic financings, undisclosed amounts, and planned raises explicitly labeled.
4. Map each company to a direct, enabling-infrastructure, or economic-participant tier without relabeling every AI company as a payment startup.
5. Generate the HTML, Markdown, JSON, and CSV from that single structured record, then run checks for missing facts, duplicated language, links, metadata, and schema.

Automation disclosure

The collection is produced with software-assisted research and structured generation. Automation is used to keep repeated facts synchronized across formats; it is not permission to invent a fact. Missing disclosures are labeled as missing, and proposed Talkshi integrations are clearly separated from reported company claims.

Corrections and independence

Talkshi has no affiliation with a company in a research tracker unless the relevant page says otherwise. Funding data changes, and source pages can be corrected after publication. Send a correction and its supporting URL to [email protected].

Current dataset: AI Agent Funding Tracker 2026 · JSON · CSV.