Evaluation-First AI Engineering offers a framework that prioritizes rigorous evaluation of AI agents to ensure they meet production standards within 30 days.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises frequently launch AI pilot projects that never reach production because they lack systematic evaluation frameworks, leading to undetected edge cases, data quality issues, and confidence gaps in AI agents.
Solution
Magnetiz provides an evaluation‑first AI engineering platform that automates the testing of AI agents against a comprehensive set of performance criteria. The framework continuously runs automated tests to surface edge‑case failures, data integrity problems, and confidence shortfalls before deployment. By delivering a “pass‑checking” build that meets predefined production standards, Magnetiz enables organizations to transition from pilot to production within 30 days, reducing the risk of costly project abandonment and ensuring AI agents deliver clear business value.
Target Audience
Primary customers are enterprise AI teams and data science organizations that run pilot projects and need a reliable, fast path to production‑grade AI agents.
Features
- Automated testing pipeline that evaluates AI agents for edge cases, data quality, and confidence thresholds
- Continuous integration status dashboard showing build health (e.g., READY, PASSING) and warning indicators
- Predefined evaluation metrics aligned with enterprise production standards
- Rapid deployment workflow that produces a production‑ready build in under 30 days
- Compatibility with existing AI development environments via a ready-to-use evaluation script (02_Agent_Eval_Framework.py)