Guardrails and Evaluation,
for the Agentic Era

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99.6 %

Accurate %

0.98

F1 score

~20ms

Latency

1

Real-time Protection

Block fraudulent, unauthorized and policy violating outputs in real time, preventing them from reaching customers.

2

Agentic Testing
Framework

Validate agents workflows across real world scenarios, multi step flows, reproduce failures with deterministic artifacts.

3

Contextual 
Evaluation

Small language model judges based evaluation for unparalleled speed, accuracy at a fraction of the cost.

Agents
RAG
Chatbots
Agents
RAG
RAG
Chatbots
Agents
Chatbots
RAG
Chatbots
Agents
Agents
RAG
Chatbots
Agents
Tool Use Quality
Hallucinations
Policy Governance
PII Detection
Prompt Injections
Context Grounding
Content Safety Moderation
1

Real-time Protection

Block fraudulent, unauthorized and policy violating outputs in real time, preventing them from reaching customers.

2

Agentic Testing
Framework

Validate agents workflows across real world scenarios, multi step flows, reproduce failures with deterministic artifacts.

3

Contextual 
Evaluation

Small language model judges based evaluation for unparalleled speed, accuracy at a fraction of the cost.

Download use case:

Grounding and policy adherence in customer support workflows

A mid market online investment firm uses an AI agent to handle client requests, such as checking account balances, provide portfolio performance summaries and retrieve current stock and interest rates. To scale automated support without adding execution risk, the firm partnered with Qualifire.

Overview

A mid market online investment firm uses an AI agent to handle client requests, such as checking account balances, provide portfolio performance summaries and retrieve current stock and interest rates. To scale automated support without adding execution risk, the firm partnered with Qualifire.

The challenge

To improve customer experience and reduce service costs, the firm expanded its AI assistant for self-service financial inquiries. Its AI assistant has access to balances, portfolio summaries and market data. That capability improved speed and scale, but it also introduced clear business risks: any inaccurate financial data could cause customer loss, regulatory exposure and reputational harm. They required automated workflows that were safe, auditable and repeatable.

Solution

Before launch, Qualifire’s Rogue agent stress-tested the AI assistant across thousands of real and adversarial customer scenarios, uncovering subtle vulnerabilities that traditional QA missed. Each failure was transformed into an actionable policy fix or prompt adjustment, tightening both model and workflow reliability.

In production, Qualifire’s lightweight SLMs act as contextual guardrails - validating user intent, verifying correctness and groundedness, and blocking unsafe responses in milliseconds.

Outcomes:

The investment firm expanded its AI self service confidently: information provided by the chat bot was grounded in reliable sources, high risk cases routed to humans and compliance gained repeatable, auditable evidence. All while keeping latency low and accuracy high.

Learn how a midsize investment firm uses AI to scale automated support without adding execution risk
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Frequently Asked Questions

How does Qualifire integrate with our LLMs/agents?

We run lightweight judge models in-line; minimal code changes and connectors for common stacks (APIs…)

Is my data private?

Yes — we offer on your cloud, hybrid, and fully on-prem deployments

How do you avoid slowing production?

Qualifire’s small language models are built with production constraints in mind, delivering ultra-low inference latency and minimal resource overhead to preserve throughput while leading the industry on accuracy and latency benchmarks.

Security & Compliance at Qualifire

SOC 2 type: II Compliant – Independently audited against industry standards for security, availability, and confidentiality.

Data Protection by Design – End-to-end encryption (in transit & at rest) with strict access controls.

Tenant Isolation – Logical multi-tenancy and data segregation to ensure customers’ data remains fully separated.

Penetration Testing – Regular independent penetration tests validate and strengthen our security posture.

Disaster Recovery & Resilience – Redundant infrastructure and tested recovery procedures safeguard availability.