Pune, India —
Full Research Blueprint
A comprehensive, AI-executable research plan for assessing Pune as a Philips OHC R&D location. Covers 10 talent profiles (now) + 5 future profiles, 8 research dimensions, 16 databases, job stability analysis, cost of living, future technology landscape, and university pipeline.
Talent Profile Architecture — Today's R&D Team
The 10 profile types that a Philips OHC R&D centre in Pune would need to hire within the first 3 years. For each: qualifications, search keywords, companies where such talent sits today, databases, and expected pool size.
Future Talent Architecture — 10-Year OHC Technology Horizon
The oral health care industry will look radically different by 2035. These are the profile types Philips will need that barely exist today — and that Pune must be capable of developing.
Driver: Smart toothbrushes that run ML models on-device (no cloud) to detect plaque zones, gum inflammation, brushing gaps
Driver: Cameras in toothbrush heads or sonic devices that detect early caries, gum recession, calculus build-up
Driver: Personalised oral care based on microbiome profiling — which bacteria, which interventions work for a specific individual
Driver: Oral health data flowing into electronic health records (EHR), dentist dashboards, and insurance systems
Driver: Robotic brushing aids for elderly, neurological patients, and children with special needs — autonomous oral hygiene
Research Dimensions — What We Measure & How
Eight structured research dimensions. For each: what is measured, step-by-step methodology, which databases to query, and what the expected output looks like.
Database Matrix
Plan Approved? Start the Research Run.
Once this plan is confirmed, the AI agents will be updated to execute all 8 dimensions using the 16 databases above, with full traceability and human review at every step.
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