Grant and cloud partner brief · B2G schools

12-month runway to prove a school prevention stack end to end.

prevention.school is the platform story for schools and education systems: Teenology for families (as part of the school ecosystem), Prevention Terminal for psychologists, and aggregate dashboards for leadership. Live today: Teenology PWA; specialist web workspace preview is paused until the school desk is ready for demo. Grant cloud credits would fund engineering completion, production Gemini inference, and a bounded school pilot—not a claim of national deployment.

Product scope on this domain

Schools + Teenology — not commercial clinics

Commercial psychology centers and the IDA product line live on ida-ai.chat. This grant ask covers the school prevention architecture only: educator entry point, psychologist workspace, family support via Teenology, and privacy-safe aggregate telemetry for administrators.

How we would use partner credits

Two clouds, two jobs — Google for inference + agentic build

Credits map to concrete cost lines in a solo-founder build. We apply as an AI-first startup under the Google for Startups Cloud Program (Gemini on Vertex, BigQuery, optional Ads pilot).

Microsoft for Startups · Azure

Build, host, and harden

  • Production infrastructure: APIs, staging, PostgreSQL direction, safety-test environments
  • Azure OpenAI: specialist-desk mediation tests, multi-step document flows, automated safety regression runs
  • Engineering velocity: cloud budget for AI-assisted development in the IDE (e.g. Cursor) so one founder can ship federation, terminals, and compliance hooks faster—this is a development line item, not family-facing chat tokens
Google for Startups · Cloud Program

Run Gemini inference + ship faster with Antigravity

  • Gemini / Vertex AI (production): long-context Family Bridge, diary continuity, educator bot, and specialist RAG sessions—the ongoing token cost of live school-family use during a bounded pilot
  • Google Antigravity (engineering): agentic IDE for autonomous multi-file work—federation invite flows, terminal modules, safety regression harnesses, and dashboard prototypes—so a solo founder can reach month-12 deliverables without a team
  • BigQuery: anonymized pilot metrics and the research loop described on Science
  • Optional Ads credits: small, measured pilot to test international school positioning (no CAC targets until a baseline exists)

Program credits cover Google models (Gemini, Gemma) on Vertex; Antigravity usage is a separate engineering line (Google AI credits / Pro tier)—budgeted explicitly so reviewers see inference vs build tooling.

Why Google for Startups Cloud Program

AI-first product fit

Primary product = Gemini-powered prevention

Teenology and the specialist desk are built around long-context, safety-bounded generative AI—not a wrapper on third-party chat. Vertex Gemini is the natural production path for family sessions and protocol-bound specialist assistance.

Measurable school pilot

Bounded cohort: families + school psychologists + leadership sandbox. KPIs are process and architecture metrics (engagement, time-to-draft, crisis-route counts)—not clinical efficacy claims.

Open ecosystem alignment

BigQuery research contour, Model Garden optionality, and agentic development (Antigravity) match Google’s AI-first startup track—up to $350k in cloud credits for qualified Scale-tier applicants.

12-month grant plan

Timeline, KPIs, and credit use

Figures below are planning targets for fund reviewers; final numbers follow the application form.

Phase map (months 0–12)

Phase Focus Exit criteria
0–3 L1↔L2 consent bridge, safety audit, specialist web polish Documented crisis-routing tests; demo path for reviewers
4–6 Bounded family + school pilot (fund-demo cohort) ≥50 active families with check-up + 2+ sessions; Pulse/Battery telemetry
7–9 Specialist workspace beta (school psychologists) ≥15 specialists generating .docx drafts with PIE tags
10–12 Aggregate dashboard prototype (synthetic + pilot aggregates) One regional-style sandbox dashboard; privacy review memo

KPIs reviewers can verify

  • Live URLs: teenology.care, prevention.school
  • Founder: ORCID 0000-0001-9876-9798; contracting entity — IE Roman Dubrovskii, Tbilisi, ID 302269747 (registry extract supplied with application)
  • Safety: documented Safety Loop triggers + human hotline handoff (see Teenology ethics)
  • Pilot engagement: weekly active families, check-up completion rate, crisis-route activations (counts only)
  • Specialist value: time-to-first usable .docx draft; taxonomy tag coverage
  • No claim of clinical efficacy until formal study design—process and architecture metrics first

Where credits go (budget buckets)

  • ~40% Google Cloud — Vertex Gemini inference during school-family pilot
  • ~10% Google — BigQuery + pilot instrumentation
  • ~10% Google Antigravity / AI Pro — agentic engineering (solo-founder velocity)
  • ~30% Azure — hosting, databases, Azure OpenAI safety test workloads
  • ~10% compliance copy, privacy review, optional Ads micro-pilot

Percentages are illustrative for credit allocation, not a cash budget. Cash cofunding, if any, is listed in the formal application.

Privacy & compliance

Privacy-by-design (not a compliance guarantee)

The architecture separates personal identifiable information (PII) from the LLM processing layer. Consumer diaries can stay local-first; specialist case data stays local-first in the terminal. The design targets GDPR- and COPPA-aligned deployment for school contexts—final compliance depends on jurisdiction, DPIAs, and institutional contracts.

What funding unlocks

Deliverables at month 12

Connected L1–L2 demo

Teenology prevention signals flow to the school psychologist workspace only with explicit consent—showable to ministries and school leadership.

Specialist-ready workspace

Secure web terminal with Consultant / Expert / Architect modes and exportable prevention documents for school psychologists.

Dashboard blueprint + pilot aggregates

Regional-style analytics UI fed by anonymized pilot data—not a live national registry.