Tonic.ai
12 Case Studies
A Tonic.ai Case Study
Kin Insurance, a fast-growing insurtech backed by a Series C and preparing for an IPO, faced a dilemma: strong data-security controls meant only a few people could access production, so engineers had to request and download large, sensitive datasets into local machines — a slow, risky process that clogged laptops and delayed development. To solve this, Kin turned to Tonic.ai for realistic, scrubbed/mimicked data and dataset subsetting so developers could work with production-like data without exposing PII.
Tonic.ai helped Kin migrate to a locked-down AWS setup and automated creation of subsetted, differentially private copies of production data so each service and developer had safe, representative datasets. As a result, developers can spin up a subsetted database in under an hour, run QA against realistic data, push 3+ code releases per day, eliminate PII on laptops, and realize cost savings roughly equal to an Ops hire — a combination that boosted security, developer velocity, and investor confidence.
Stephen Wooten
Co-founder