Question 1

What is Superagent?

Accepted Answer

Superagent helps you prove that your AI systems are safe and compliant before they create incidents. We identify the catastrophic failure modes that would matter for your customers, regulators, and leadership, then give you concrete evidence that those risks are understood, tested, and under control.

Question 2

How is this different from generic AI evals or benchmarks?

Accepted Answer

Most evals focus on model performance or generic agent behavior like tool calling. That shows how an agent operates, but not whether the AI system as a whole is safe and compliant. Generic benchmarks are built for AI engineers; Superagent is built for safety, risk, and compliance teams who need clear evidence about where an AI system can create liability, leak data, or break trust.

Question 3

What kinds of failures do you test for?

Accepted Answer

The failures we test for are highly dependent on your industry and product. For an insurance company, that might mean an agent approving policies outside underwriting rules, mishandling sensitive health information, or giving advice that creates regulatory exposure. For a software company with an agent that analyzes source code, we would probe for code exfiltration, unauthorized access across repos, or behaviors that leak valuable intellectual property into external systems.

Question 4

Who is Superagent for?

Accepted Answer

We work with AI product teams selling into enterprise or regulated markets, large enterprises running many AI systems across vendors, and organizations in regulated sectors like healthcare, finance, insurance, and public sector that need to validate AI products before and after deployment.

Question 5

What does a typical engagement look like?

Accepted Answer

We begin with analysis, where forward-deployed engineers review your systems, logs, and policies and meet stakeholders across product, engineering, legal, and compliance. Then we construct human-grade, domain-specific scenarios for your highest-risk failure modes, run the full suite, and hand back structured results and tests you can embed into CI or internal QA. Some customers keep us on retainer so the suite evolves with the product.

Question 6

Do we need to adopt new software to use Superagent?

Accepted Answer

No. Superagent is delivered as a managed service—you do not have to allocate personnel to operate a new product. We run the workflow end-to-end and give you results and reusable tests; if you want, those tests can be integrated into your existing CI pipelines and QA processes.

Question 7

What happens after you identify failures?

Accepted Answer

We do not just hand over a list of problems. We walk you through the failures, prioritize them by impact and likelihood, and explain why they occurred in the context of your system. The path to remediation depends heavily on your architecture, vendors, and internal processes. In some cases your team will update prompts, guardrails, or tooling; in others we may recommend deeper design changes. We can advise on fixes based on patterns we have seen elsewhere, or partner with your internal teams to implement and re-test changes.

Question 8

How much does it cost?

Accepted Answer

Pricing depends on the number of systems you want tested, how critical they are, and whether you need a one-time assessment or an ongoing retainer. We scope engagements around your highest-risk workflows so the work stays tightly aligned to real business and regulatory risk. The easiest way to get an accurate quote is to book a call.

Prove your AI is safe and compliant

Fully managed service,
powered by our platform

Our Process

Analysis

Test construction

Execution

Who it's for

AI Product Teams

Regulated Industries

Compliance Leaders

Introducing Lamb-Bench:
Safety benchmark for AI

Frequently Asked Questions

Test your AI systems
before they fail