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AI Generates.
Perf Verifies.

Perf checks every AI output before it reaches users or systems. It fixes errors when possible and blocks outputs that cannot be trusted.

Get in Touch

AI Generates.
Perf Verifies.

Perf checks every AI output before it reaches users or systems. It fixes errors when possible and blocks outputs that cannot be trusted.

Get in Touch

Works with leading AI technology
Works with leading AI technology

PROBLEM

AI outputs are not automatically safe to use.

Models can produce fluent answers that are wrong, malformed, off-policy, or unsupported by source data. Most teams handle this with prompts, retries, and custom checks. That works until AI starts touching customers, workflows, and systems of record.

Models can produce fluent answers that are wrong, malformed, off-policy, or unsupported by source data. Most teams handle this with prompts, retries, and custom checks. That works until AI starts touching customers, workflows, and systems of record.

Hallucinated or unsupported claims reach users
AI can produce confident answers that contradict source material, invent facts, or cite information that does not exist.

Business rules are inconsistently enforced
Prompts alone cannot reliably enforce policies, approval rules, regulatory constraints, tone requirements, or product-specific limits.

Broken structure disrupts workflows
Malformed JSON, missing fields, invalid schemas, and inconsistent formatting can break downstream systems.

Failures are caught too late
Without an output control layer, many errors surface only after the AI has already responded, acted, or passed data into another system.

Hallucinated or unsupported claims reach users
AI can produce confident answers that contradict source material, invent facts, or cite information that does not exist.

Business rules are inconsistently enforced
Prompts alone cannot reliably enforce policies, approval rules, regulatory constraints, tone requirements, or product-specific limits.

Broken structure disrupts workflows
Malformed JSON, missing fields, invalid schemas, and inconsistent formatting can break downstream systems.

Failures are caught too late
Without an output control layer, many errors surface only after the AI has already responded, acted, or passed data into another system.

SOLUTION

SOLUTION

A control layer for AI outputs.

A control layer for AI outputs.

Perf sits between your AI model and your application. Every output is checked against your rules, schemas, sources, and policies before it reaches a user or downstream system.

Verify

Check outputs for structure, grounding, policy compliance, and business-specific constraints.

Repair

Fix errors when they are recoverable, including malformed JSON, missing fields, unsupported claims, and constraint violations.

Reject

Block outputs that cannot be trusted, with structured diagnostics your system can retry, debug, or escalate.

Perf sits between your AI model and your application. Every output is checked against your rules, schemas, sources, and policies before it reaches a user or downstream system.

Verify

Check outputs for structure, grounding, policy compliance, and business-specific constraints.

Repair

Fix errors when they are recoverable, including malformed JSON, missing fields, unsupported claims, and constraint violations.

Reject

Block outputs that cannot be trusted, with structured diagnostics your system can retry, debug, or escalate.

INDUSTRIES

Where AI mistakes are expensive.

INDUSTRIES

Where AI mistakes are expensive.

Customer Support
Financial Services
Legal & Compliance
Healthcare & Life Sciences

Customer Support

AI agents need to stay helpful without making false promises, inventing answers, or violating support policy. Perf checks responses before customers see them.

Financial Services

AI workflows in finance need controls around disclosures, risk thresholds, data handling, and regulated communication. Perf enforces those rules before outputs reach clients or systems of record.

Legal & Compliance

Legal and compliance workflows depend on source fidelity. Perf checks generated outputs against approved documents, policies, and jurisdiction-specific constraints.

Healthcare & Life Sciences

Healthcare AI needs careful boundaries. Perf can enforce approved sources, privacy rules, escalation logic, and clinical safety constraints before AI-generated content reaches patients or staff.

HOW IT WORKS

Check. Fix. Block.
In real time.

Step 1

Intercept

Intercept

Perf receives the AI output before it reaches your application, user, or downstream system.

Step 1

Intercept

Perf receives the AI output before it reaches your application, user, or downstream system.

Step 2

Validate

Validate

Perf checks the output against schemas, policies, source data, and business rules. Failures are identified at the field, claim, or rule level.

Step 2

Validate

Perf checks the output against schemas, policies, source data, and business rules. Failures are identified at the field, claim, or rule level.

Step 3

Enforce

Enforce

Valid outputs pass through. Fixable failures are repaired. Outputs that cannot be trusted are blocked with structured error context.

Step 3

Enforce

Valid outputs pass through. Fixable failures are repaired. Outputs that cannot be trusted are blocked with structured error context.

Frequently Asked Questions (FAQs)

What is Perf?

Perf is a control layer for AI outputs. It sits between your model and your application, checking every output before it reaches users or downstream systems.

How is Perf different from guardrails?

Is this just prompt engineering?

Which models does Perf work with?

Does Perf add latency?

How do I define the rules Perf enforces?

Stop bad AI outputs
before they reach production.

Stop bad AI outputs
before they reach production.

See how Perf fits into your AI stack. We will walk through your use case and show where verification, repair, and rejection should happen.

Get in Touch