OtO Lawn Care

~$609K/yr saved across two GCP engagements

OtO (otolawn.com) builds a smart, self-installing sprinkler that connects to a garden hose and Wi-Fi to automate residential watering — a connected hardware product with a companion app, a fleet of devices in the field, and the telemetry that comes with both. The company is a two-time CES Innovation Award winner.

Sheldon Soloa, BraneBridge's founder, was a lead software engineers at OtO from Series B through the company's acquisition, owning the cloud infrastructure and optimizing more than $1.6M in cumulative cloud spend across the engagement.

Case 1 — Spiky SaaS/IoT Workloads

~$525K/yr saved. Unit cost down 87%.

What we changed

Migrated service workloads from Cloud Functions to Cloud Run
Right-sized autoscaling and minimized cold start times for Cloud Run services
Removed idle and zombie workloads
Used profiling to identify and remove bottlenecks in service logic
Implemented budgets, alerts, and labels to prevent regressions and isolate cost by service

How we verified

Weekly reporting on Per Unit Cost derived from primary service usage metrics.

Outcome

Before → After: $6.00 → $0.75 per unit (~87–88% reduction). Annualized savings ~$525K/yr. Fleet size doubled during the engagement.

Case 2 — Analytics / BI

~$84K/yr saved. BigQuery spend down 70%.

What we changed

Implemented medallion architecture with Dataform across 20+ workloads
Added materialized views for hot aggregates
Re-partitioned and clustered high-scan tables

How we verified

Month-over-month Cloud Billing export plus INFORMATION_SCHEMA.JOBS* reports to confirm bytes scanned and spend deltas.

Outcome

BigQuery analysis spend $10K → $3K per month (~70% reduction). Annualized savings ~$84K/yr.