Choosing an AI Vendor in the Philippines: Compare Evidence Before Proposals
An evidence-based AI vendor selection guide for Philippine teams: compare scope, data handling, operating costs, acceptance, support and exit terms.
KOOYA / AI DIGEST / MANILA
Investment, partnerships, skills and the path from research to use.
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An evidence-based AI vendor selection guide for Philippine teams: compare scope, data handling, operating costs, acceptance, support and exit terms.
Understand Pino SI’s public model-size targets, measured and estimated token counts, planned pilots and the distinction between fundraising and Kooya’s own investment.
DOST regional AI adoption: Western Visayas planning and Caraga’s reported training for 380 MSMEs, with a framework for measuring what happens after training.
Understand how GODDESS, CRADLE and TECHNiCOM relate to AI research and commercialization, with verified call-status cautions and proposal preparation advice.
A practical guide to choosing, scoping, and building custom AI software with a Manila-based product team.
A practical build-versus-buy framework for Philippine teams evaluating AI software and automation.
A 2026 field brief on Philippine AI strategy, DOST investment, the digital economy, and what business leaders should do next.