What we measure
Task correctness, security findings, regressions, time to verified completion, human corrections and token use.
THE EVIDENCE PROGRAM
Measured where it matters.
The strongest product story is one that can be inspected. Explore SynxusAI’s reported CodePulse results and the product’s verification standard; detailed evaluation reports are published here as they become available.
Results from SynxusAI testing
How comparisons will be reported
Comparable tasks, disclosed agent and model versions, fixed conditions and blind assessment where appropriate. Reports will include sample sizes, dates and uncertainty.
Reported results and product proof
SynxusAI reports nearly 100% frontier-model accuracy, 0% overconfidence and 96% overall success in its testing. The Competitive Edge page explains the reported outcomes; Proof & Security shows the product’s actual measures and verification process.
RESULTS FROM SYNXUSAI TESTING
Raise the standard. Not just the model budget.
CodePulse is pushing frontier models toward near-perfect accuracy while enabling cheaper models to outperform more capable unaided models. The difference is the application intelligence, enforced method and proof behind the work.
Nearly 100%Frontier-model accuracy
0%Overconfidence
96%Overall success
Outcomes reported by SynxusAI from its CodePulse testing, September 2026. These measures are separate from the project-quality scores shown on the Proof & Security page.
CodePulse + codex-5.1-mini
A smaller model. A stronger result.
In SynxusAI’s reported test, API-based codex-5.1-mini with CodePulse often outperformed the latest frontier AI models for accuracy and functionality. Those frontier models retained the design advantage. CodePulse is not a design-enhancement tool; it is built for reliability. It changes outcomes where applications have to work.
CodePulse
Make the next release one you can stand behind.
Bring your agent. Keep control of your application. Put evidence behind the release.