DevTools · AI & ML · 200–1000 · North America #b019_10

Context

We create training data, benchmarks and evaluation sets for frontier model builders and large enterprises, often handling their confidential material.

Industry

DevTools & Software · AI & ML

Size

200–1000 employees

Region

North America

Tools budget

$5K–20K per month

Needs

Audit evidence collection. Customers send long security questionnaires, and collecting technical proof for each one pulls engineers off delivery.

Today: a technical compliance analyst gathering control proof for several frameworks with a compliance platform · Urgency: now

Privacy & data protection (GDPR/HIPAA). We move confidential customer data between experts and pipelines and must show strict access controls throughout.

Today: a new head of security setting data protection practices under the CTO · Urgency: now

LLM evaluation & testing. Our evaluation work for clients needs repeatable scoring infrastructure rather than bespoke scripts per project.

Today: in-house benchmark and evaluation pipelines built on its own data platform · Urgency: later

Who decides

ciso security · security review

Expects from suppliers

Questionnaire answers drawn from live control data; Strong segregation of customer datasets; Reports suited to frontier lab reviewers

Not a fit

Generic policy templates without automation; Tools lacking audit trails

Stack

cloud: GCP-class hyperscaler, compliance tooling in place, LLM APIs in production

Buying triggers

upcoming audit or certification, AI adoption push