What the research found (mid-2026)

No existing product does this end-to-end. This is genuine white space. The adjacent pieces exist but have never been assembled:

• Marketplace, not translator: The Aboriginal Carbon Foundation's *Climate Integrity Alliance (TCIA)* connects Traditional Owners with corporate ACCU buyers via Indigenous-led verification — but does no transcription, translation, or TEK→disclosure conversion.
• Frameworks are ready: TNFD (4 pillars, 14 disclosures, GBF Target 15-aligned) explicitly legitimises traditional knowledge as a disclosure input *and* bakes FPIC + equitable benefit-sharing into its disclosures. Kunming-Montreal GBF = 4 goals, 23 targets. The April 2026 ACCU savanna fire methods are explicitly built on First Nations burning knowledge, quantified via the new SavCAM model (still in user testing as of mid-2026).
• Language tech is the weak link: There is no deployed ASR for most Aboriginal languages or for Aboriginal English — only research-grade work (Elpis/CoEDL; wav2vec2 demonstrated for Yan-nhangu; Dharawal has no labelled dataset at all). A tempting shortcut — transfer-learning from acoustically similar high-resource languages — was specifically refuted in the research. One hopeful finding: hand-correcting ASR output is ~3× faster than transcribing from scratch, so a human-in-the-loop front-end is viable even at mediocre accuracy.
• Governance stack is mature and mandatory: Indigenous Data Sovereignty, CARE Principles (Maiam nayri Wingara), ICIP (Terri Janke's "True Tracks" / Creative Australia protocols), FPIC, and ready-made Local Contexts TK/BC Labels (machine-readable consent tags). These are not optional.