LLM Hallucination Detection Services for Your Business
LLM hallucination detection services verify that each claim in an AI answer is supported by the source documents before the user sees it. Omeiro scores answers against the retrieved context, blocks or flags unsupported statements and checks numbers that do not add up.
How LLM hallucination detection works, step by step
A made-up example of one run, from start to finish. Each step is logged so you can see what happened.
- Something happens
A form, an email, a payment or a new row.
- The workflow runs
Steps you agreed, in the right order.
- Errors are caught
Failed steps retry or alert a person.
- You see what ran
A simple log of every run.
Sample Made-up names, data and steps to show how a run is logged. Your steps, tools and rules follow your business.
What you get with LLM hallucination detection
Automated output verification scoring generated assertions against source context vectors. Blocking ungrounded facts, mathematical discrepancies, and synthetic fabrications before delivery.
Basic Package
Grounding check scoring answers vs sources for 1 RAG app. 5-day delivery, 1 round + 30-day fixes.
Standard Package
Claim-level verification, number checks, block/flag rules, eval report. 8-day delivery, 1 round + 30-day fixes.
Premium Package
Custom judge model, dashboard, regression tests, 30 days support. 13-day delivery, 1 round + 60-day fixes.
Clear brief first
We confirm what you need before work starts, so the scope is clear on both sides.
Revisions listed
Each package shows its revision rounds. A round is one list of changes sent together.
Yours once paid
Copyright of the final work passes to you once the order is paid in full.
Third-party tools, API usage and hosting are billed to your own accounts, so the setup stays with your business.
How our LLM hallucination detection works
Collect failures
We gather examples where your system went wrong.
Build the checker
Answers are compared with sources, claim by claim where included.
Set the rules
You decide whether weak answers are blocked, flagged or sent for review.
Measure
A report shows how many problem answers were caught.
LLM hallucination detection: deciding what to block and what to flag
Not every unsupported statement is equally risky. LLM hallucination detection lets you choose different responses: block a wrong dosage or price, flag a loosely worded summary, and let harmless pleasantries through. Before ordering, sort the answers your app gives by consequence, and define what counts as supported by the sources. Provide examples of past mistakes, because the detector is tuned against them and then tested on them again afterwards.
Detection depends on retrieval. If the right passage never reaches the model, an answer can be wrong and still look grounded in whatever was retrieved, so check retrieval quality alongside verification. LLM hallucination detection also carries a latency cost, since each answer is checked before delivery, so decide whether you prefer slower, safer replies or a flag after the fact. A custom judge model on Premium can be tuned to your domain vocabulary and checked against human labels.
In short
- Delivery in 5 to 13 days, by package.
- Fixed price, shown before you order.
- Teams whose RAG assistant occasionally states things no document says.
- Regulated businesses where a made-up figure is a real problem.
- Copyright yours after full payment.
LLM Hallucination Detection: common questions
How much does LLM hallucination detection cost?
Prices are fixed and shown by package on our LLM Hallucination Detection pricing page, so you see the full price before you order. You can also ask for a custom quote.
How long does AI output verification take?
Delivery depends on the package: Basic 5-day delivery; Standard 8-day delivery; Premium 13-day delivery.
What is included in the Basic Package?
The Basic Package includes: Grounding check scoring answers vs sources for 1 RAG app. Higher packages add more scope, revisions and support.
Can I get a custom grounded AI responses package?
Yes. If none of the packages fits, use the custom package form on our pricing page to describe what you need, and our team sends you a fixed price.
Can hallucinations be eliminated?
No. Verification catches many unsupported claims, but it cannot promise zero.
Does it slow responses?
Checking adds some time, which we discuss during setup.
What happens to a flagged answer?
Standard lets you choose to block it, flag it or route it for review.
Do I need a RAG app?
The packages check answers against retrieved sources.
What causes hallucinations in RAG applications?
Common causes are missing or irrelevant retrieved passages, ambiguous questions and a model filling gaps with plausible text. Better retrieval reduces the problem, and verification catches what remains.
Who owns the final work?
Copyright of the final work passes to you once the order is paid in full. Paid fonts, stock files or licences, if used, are licensed in your name.
Ready to start your LLM hallucination detection?
Compare the packages and pick the one that fits. Not sure which? Write to us and we will help you choose.