Enterprise

AI Engineering Assessment at Scale

Standardize how your organization evaluates AI-augmented engineering skills. Custom tasks, SSO, dedicated support, and the data infrastructure to make evidence-based hiring decisions across teams.

Built for engineering organizations

Everything you need to run AI engineering assessments across teams, departments, and regions.

Custom Task Builder

Build assessments around your own codebase and engineering challenges. Evaluate candidates on problems that reflect your actual work.

SSO / SAML Integration

Single sign-on with your identity provider. SAML 2.0, OIDC, and custom SSO configurations supported.

Custom Data Residency

Choose where your assessment data is stored. Meet regional compliance requirements with configurable data residency.

Dedicated Account Manager

A named point of contact who understands your hiring workflow and helps you get the most from the platform.

API Access & ATS Integration

Integrate DynaLab into your existing hiring pipeline. Webhook support for Greenhouse, Lever, Ashby, and custom ATS systems.

Volume Pricing

Assessments at $2 or less. The more you assess, the lower your per-candidate cost. No per-seat fees.

The math isn't close

Traditional technical assessments cost $200+ per candidate and take 4+ hours of engineer time to review. DynaLab: $2 per assessment, 30 minutes, zero reviewer time.

~$2
Per assessment
Volume pricing available
30 min
Assessment time
vs. 60-120 min traditional
7
Calibrated dimensions
Evidence for every score

Enterprise-grade security

Your assessment data is protected with the same standards you expect from your own infrastructure.

SOC 2 Type II

Enterprise-grade security controls and audit trail

In progress

End-to-End Encryption

Assessment data encrypted in transit and at rest

Active

GDPR Compliant

Full data subject rights, deletion, and export support

Active

99.9% Uptime SLA

Enterprise SLA with dedicated infrastructure

Available

Ready to standardize AI engineering assessment?

Join engineering teams that are building evidence-based hiring processes for the AI era.