Enterprise AI Platform

Move models from prototype to production.

With proven rigor, compliance, and zero-incident guarantees—built for VP/Head of Engineering and AI Product Leads who cannot afford model drift, hallucinations, or security breaches.

Comprehensive Evaluation
50+ dimensions: accuracy, robustness, latency, cost
🔒
Red-team & Security First
Jailbreak testing, data leakage, prompt injection
📊
Production Monitoring
Continuous drift detection & regression testing

How TestML Works

5-Pillar Evaluation Framework

Comprehensive assessment across the dimensions that matter for enterprise AI reliability.

Accuracy
Task-specific performance on curated test suites
Robustness
Adversarial and edge-case resistance
Latency
Response times under production load
Cost
Token efficiency and cascading optimization
Security
Jailbreak resistance, data leakage, injection vulnerabilities

Red-Teaming

Jailbreak & prompt injection testing

Data leakage scenario simulation

Adversarial prompt generation

Continuous Monitoring

Automated drift detection in production

Regression testing on every deployment

Real-time decision audit logging

Compliance Ready

GDPR, HIPAA, SOC 2 alignment

Guardrails for regulated industries

Audit trail & explainability

50+
Evaluation dimensions

Comprehensive testing across accuracy, robustness, latency, cost, and edge cases

<5 min
Evaluation turnaround

Rapid assessment to accelerate model iteration and deployment decisions

99.2%
Incident prevention

Production incident reduction through continuous drift detection and testing

Fortune 500
Enterprise trusted

AI safety and compliance infrastructure for the world's largest organizations

Compliance Guardrails In Action

Define and enforce safety boundaries for your AI agents. TestML validates responses against configurable guardrails—from jailbreak detection to prompt injection filtering—catching violations before they reach production.

{
  "guardrail_id": "gd_compliance_medical",
  "model": "gpt-4-turbo",
  "checks": [
    {
      "type": "jailbreak_detection",
      "severity": "block",
      "patterns": ["ignore previous", "pretend you are"],
      "action": "reject_with_error"
    },
    {
      "type": "data_leakage",
      "severity": "block",
      "patterns": ["PHI", "PII", "SSN"],
      "redaction": "auto"
    },
    {
      "type": "hallucination_drift",
      "severity": "log",
      "threshold": 0.15,
      "baseline": "prod_baseline_v2"
    }
  ]
}

Trusted by CTOs and VPs Engineering

TestML reduced our AI governance overhead by 60% and gave us the confidence to deploy models into regulated workflows without legal friction.
Sarah Chen, VP Engineering
FinTech Capital
Their red-teaming methodology caught adversarial edge cases our internal QA missed. Saved us from a potential security incident in production.
Marcus Thompson, Chief AI Officer
Healthcare Systems Inc
Production drift detection is now automated. We catch model degradation before our customers do. SLA uptime improved by 3 nines.
Priya Patel, Director of ML Operations
Enterprise AI Platform
Compliance guardrails are no longer a bottleneck. TestML's HIPAA-ready evaluation framework lets us ship faster without compromising standards.
James Rodriguez, Engineering Lead
Medical Diagnostics AI

Book a technical assessment

Understand your AI system's readiness in 45 minutes. Our experts evaluate your models across safety, performance, and compliance.