Cloudflare conversation primer for HopSkipDrive — RouteWise AI on the developer platform

Student transportation intelligence · Edge AI

RouteWise AI on Cloudflare.

HopSkipDrive's RouteWise AI™ — the world's first student transportation intelligence platform — runs multi-LLM scenario modeling at scale for school districts like Denver Public Schools, Littleton, Colorado Springs D11, Ohio County. Your DNS shows OpenAI, Anthropic, and Perplexity all in production. Cloudflare's developer platform is built for exactly this shape of workload.

routewise-stack.sh
# Current (DNS recon, May 2026)
www: Netlify
apex DNS: AWS Route 53
api.hopskipdrive: AWS
rideiq: AWS
admin / drive: AWS (shared IP)
App Sec: Cloudflare ✓
LLM providers: OpenAI + Anthropic + Perplexity
# Expansion play
AI orchestration: AI Gateway
Edge compute: Workers
Per-district: Workers for Platforms
Route storage: R2
Vector search: Vectorize
DB acceleration: Hyperdrive + D1
$ echo "App Sec is the door. Dev Platform is the room."
Existing customer · Renewal 12/17/2026

RouteWise AI proven outcomes

46%

Increased efficiency

High-utilization bus routes (30+ students)

40%

Capital savings

Identified savings over 10 years

+17%

On-time arrival

From 85% to 99%

Source: HopSkipDrive RouteWise AI public case studies — Denver Public Schools, Littleton, Colorado Springs D11, Ohio County

RouteWise AI workflow

How RouteWise AI maps to
Cloudflare's developer platform.

Each layer of the RouteWise AI engine has a clean Cloudflare equivalent. The result is faster scenarios, lower inference costs, and per-district isolation without managing per-tenant infrastructure.

Step 1 — biggest play

Multi-LLM AI orchestration

Your DNS shows OpenAI, Anthropic, AND Perplexity. RouteWise AI spans all three. Each scenario today hits a provider directly — no caching, no observability layer.

CF mapping

AI Gateway + Workers AI

One observability + caching + rate-limit layer across all three providers. Identical scenario prompts cache. 30-50% inference cost cut without code changes.

Step 2

Scenario compute at edge

"This would have taken our team nights and weekends" — RouteWise AI runs hundreds of scenarios fast. Today: single-region AWS. Workers: 330+ cities.

CF mapping

Workers + Hyperdrive

Edge compute next to the requesting district. Hyperdrive accelerates AWS RDS round-trips. 5ms cold starts vs. AWS Lambda ~400ms.

Step 3

Per-district isolation

10,000+ schools, many districts. DPS ≠ Littleton ≠ Colorado Springs. Each needs its own scenario state, branding, policy rules.

CF mapping

Workers for Platforms

Dispatch namespaces per district — isolated edge compute without you running per-tenant infrastructure. Replaces the shared-AWS multi-tenancy pattern.

Step 4

Route data + similarity

RouteWise AI learns from millions of miles across 10,000+ schools. Cross-district pattern matching is a vector similarity problem.

CF mapping

R2 + Vectorize

R2 stores scenario corpus + training data with zero egress. Vectorize indexes route embeddings — "find districts with similar bell-time problems" runs in <50ms at edge.

AI Gateway cost model

Multi-LLM inference, with and
without AI Gateway caching.

RouteWise AI's batch scenario modeling involves repeated prompts with overlapping content. AI Gateway caches identical/near-identical requests across providers.

Your inputs

Monthly figures, RouteWise-AI-scale defaults.

Scenario modeling, route optimization, district Q&A.

Includes context, prompt, response.

Blended across OpenAI / Anthropic / Perplexity.

Typical: 30-50% in batch-scenario workloads.

Direct to providers
Current state
Total calls500,000
Cached calls0
Total tokens2.0B

Monthly

$16,000

≈ $192,000/year

With AI Gateway
Proposed
Total calls500,000
Cached calls (free)175,000
Tokens to providers1.3B

Monthly

$10,400

≈ $124,800/year

Estimated annual inference savings

$67,200

35% lower LLM inference cost from caching alone

Excludes the additional value from observability (debugging multi-provider workflows), rate-limit enforcement (cost ceiling per district), and model-portability (switching providers without code changes).

End-to-end mapping

HopSkipDrive on Cloudflare
end-to-end.

App Sec is already live. The expansion layers everything else on top.

Multi-LLM orchestration

AI Gateway + Workers AI

OpenAI + Anthropic + Perplexity all in production. One observability + caching + rate-limit layer. Model-portability without code changes.

Net-new — biggest play

Per-district edge compute

Workers for Platforms

Dispatch namespaces give DPS, Littleton, Colorado Springs D11, Ohio County, etc. each their own isolated edge runtime. 5ms cold starts.

Replaces shared-AWS pattern

Route + scenario storage

R2

Scenario inputs, AI outputs, route data, ride logs, training corpus. S3-compatible, zero egress. Drop-in for boto3.

Replaces AWS S3 + Netlify Large Media

Pattern similarity

Vectorize

"Find districts with similar bell-time problems" / cross-district routing pattern matching. <50ms similarity queries at the edge.

Augments: existing AI

Database acceleration

Hyperdrive + D1

Hyperdrive pools + caches AWS RDS for edge Workers. D1 for per-district config + scenario state at edge.

Augments: AWS RDS

Marketing site

Pages

www.hopskipdrive.com is on Netlify today (hsd-website.netlify.app). Pages = git-driven deploy, branch previews, integrated with Workers / R2 / AI Gateway.

Replaces Netlify

Application Security

Current — live

Already in production. WAF + Bot Management protect the api / drive / admin / rideiq endpoints.

Renewal 12/17/2026

Zero Trust

Cloudflare One

CareDriver / parent / school admin identity. Access + ZTNA + CASB across Salesforce, HubSpot, Zendesk, Atlassian, Figma, Greenhouse, Workspace.

Net-new at renewal

Compliance + PHI

Data Localization Suite

Paubox in your TXT = you handle PHI (IEP, foster care, McKinney-Vento). DLS + Regional Services pin sensitive data by region/state without separate deploys.

Augments App Sec

Business case

Three outcomes for
the December 2026 renewal.

Inference savings, edge performance, and a 6-11× expansion path.

30-50%

Inference Cost Cut

AI Gateway caching across OpenAI + Anthropic + Perplexity. Batch scenario workflows are caching-friendly by nature.

5ms

Edge Compute Cold Start

Workers vs. AWS Lambda ~400ms. Scenario modeling that "took nights and weekends" runs in seconds.

6-11×

ARR Expansion at Renewal

From App Sec ($80K) → App Sec + Dev Platform + CF One ($480-880K) at the December 17, 2026 renewal.

Next step

Ready to walk through this
for RouteWise AI?

60-90 min architecture review with your engineering + product team. We'll plug RouteWise AI's actual scenario volume into the calculator.