# Philippine AI Report

> The 2025 Philippine AI Report — the nation's first comprehensive study on artificial intelligence adoption, ecosystem maturity, and strategy in the Philippines. Authored by Swarm in collaboration with Filipino researchers, founders, investors, and policymakers.

Key findings: 92% of surveyed organizations report active AI adoption, 65% remain stuck at pilot stage, and 57% are blocked by talent scarcity. The report covers AI readiness, startup ecosystem, language models for Filipino languages, datasets, case studies, and policy.

The full report is publicly downloadable. Structured machine-readable mirrors of every public page are listed below for AI agents and crawlers.

## Report

- [2025 Philippine AI Report (full PDF)](https://www.swarm.work/philippine-ai-report-full): Download the complete report (PDF).
- [Executive Brief / Pre-Report (PDF)](/philippine-ai-pre-report.pdf): Early-access executive brief with key insights.
- [Report markdown mirror](/report.md): Full report copy as plain markdown for LLM ingestion.
- [Report metadata (JSON)](/api/report-meta.json): Title, authors, date, sections, distribution URLs, license.

## Data

- [Filipino LLMs catalog (JSON)](/api/llms.json): Large language models trained on Filipino languages.
- [Datasets catalog (JSON)](/api/datasets.json): Philippine AI/ML datasets mirrored from Hugging Face.
- [External AI reports about the Philippines (JSON)](/api/reports.json): Curated list of third-party reports (Oxford, World Bank, UNESCO, DTI, Tortoise).
- [Startups directory pointer (JSON)](/api/startups.json): Pointer to the live Philippine AI startup directory.

## Pages

- [Home / Landing](/): Overview, key findings, team, partners.
- [Pre-Report / Executive Brief](/pre-report): Executive brief landing page.
- [Filipino LLMs](/llms): Showcase of Philippine large language models.
- [Datasets](/datasets): Philippine AI datasets from Hugging Face.
- [Startups Directory](/startups): Philippine AI startup ecosystem.
- [Case Studies](/case-studies): Real-world Philippine AI implementations.
- [SenatorMatch case study](/case-studies/senator-match): Civic-tech AI for 2025 elections.
- [JarVisa case study](/case-studies/jarvisa): AI for visa and immigration services.
- [RecurringHQ case study](/case-studies/recurringhq): AI-native SaaS development.
- [For AI Agents](/for-agents): Index of every machine-readable endpoint and the MCP server URL.

## Markdown mirrors

- [Home (markdown)](/index.md)
- [Pre-Report (markdown)](/pre-report.md)
- [LLMs (markdown)](/llms.md)
- [Datasets (markdown)](/datasets.md)
- [Startups (markdown)](/startups.md)
- [Case Studies index (markdown)](/case-studies.md)
- [SenatorMatch (markdown)](/case-studies/senator-match.md)
- [JarVisa (markdown)](/case-studies/jarvisa.md)
- [RecurringHQ (markdown)](/case-studies/recurringhq.md)

## Agent API

- [MCP server endpoint](https://swtwqrwsyedfamedawbm.supabase.co/functions/v1/mcp): Model Context Protocol (Streamable HTTP) server exposing tools to search the report and query the datasets.
- [For AI Agents hub](/for-agents): Connection instructions for Claude Desktop, Cursor, and other MCP clients.

## Optional

- [Contact](/contact): Submission and partnership inquiries.
- [Full text bundle](/llms-full.txt): All page content in a single file for one-shot context loading.