iTANONG
Filipino natural-language interface to databases from DOST-ASTI, supporting English, Tagalog and Taglish.
Overview
iTANONG is a homegrown AI project from the Philippines' DOST-ASTI that enables natural-language access to databases and documents, letting users query data in English, Tagalog and Taglish without SQL or coding. Started as a multi-year project in 2022 and developed under the national ACABAI-PH program, it tackles Filipino as a low-resource language using synthetic data generation and scraping of Filipino sources. It is one of the local AI tools showcased as the Philippines builds out its national AI research ecosystem.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 24 Jul 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
ASEAN Perspective
iTANONG in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
What this is for: A Filipino-language natural-language interface for querying databases and documents without technical skills.
Who this is for: Philippine government agencies, researchers and Filipino organizations exploring local-language data access.
Availability: A government research effort under DOST-ASTI, early-stage with limited public access; not a self-serve or open product.
What people say
iTANONG is an early-stage government research project from DOST-ASTI, not a product. There's nothing to review—no G2 page, no app rating, no public users. It's still being built. The visible signal is Philippine press and institutional coverage: Rappler ran features on the painstaking work of training Filipino/Taglish AI, and OpenGov Asia and DOST-ASTI's own updates position it within the national ACABAI-PH AI program launched in 2022.
What does exist and is verifiable is the research output rather than the interface: DOST-ASTI has released Tagalog and Cebuano language models on Hugging Face (BERT-ceb, RoBERTa-tl and a Tagalog sentiment model) and published the iTANONG-DS benchmark datasets, plus a ~10-billion-token Tagalog corpus. Partnerships with National University and Bicol University are cited as the route toward wider use.
Given the project's early stage, the caveats are significant. The natural-language-to-database interface is still a multi-year effort with limited public access, adoption and benchmark numbers for the end-user tool aren't published, and Filipino remains a low-resource language where the team openly acknowledges relying on synthetic data and scraping. With all information originating from DOST-ASTI and its partners, there is no independent evaluation to speak of.
Summary of public user & expert reviews, compiled by RECATOOLS.
About this listing
This entry was compiled from publicly available data including iTANONG's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with iTANONG unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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