WE MAKE AI EASY.
Stop guessing which AI to use.
Test AI against the work you actually need done. See what works. Choose with proof.
Built at AiBenchLab. Tested in the Lab. Proven in the field.
14-day trial, no payment details required. Or see pricing and licensing.
Every AI says it is the best.
It isn’t.
One model may be great at writing and terrible at the work you actually need done. Another may cost less, run faster, and give better answers for your job.
If you guess, you can waste time, money, and trust.
You should be able to test before you decide.
Test it. Compare it. Know.
We have sat where you are sitting: several models that all sound convincing, a real job that has to get done, and no honest way to tell which one is right. It is a bad place to be spending money from.
AiBenchLab builds practical tools that help you test, compare, and prove AI systems before you rely on them. You make the call. We make sure you can see what you are deciding between.
Use evidence.
A better way to choose AI.
Four steps. In this order.
Define the problem.
What do you actually need AI to do? Say it in plain English.
Test the models.
Put the candidates through the same real work and watch what happens.
Compare the evidence.
Quality, speed, and cost, side by side — not opinions, not a leaderboard.
Choose with confidence.
Decide from the results, and keep the proof behind the decision.
- Problem
- Diagnosis
- Experiment
- Measurement
- Proof
- Scale
Meet MARK-17.
Find the right AI for the job.
MARK-17 helps you test AI models against real work, compare the results, and choose with proof.
It is built for consultants, teams, and businesses that need to answer one simple question:
Which AI should do this?
- ✓ Test AI running on your own computers, AI from cloud providers, or both side by side.
- ✓ Compare results across 254 tests and 11 domains — 998 scoring dimensions in total.
- ✓ Keep the evidence: reports, exports, and tamper-evident result packages.
You do not need another AI opinion.
You need proof.
MARK-17 runs on an active license. Some advanced capabilities depend on your license.
The test is only the beginning.
MARK-17 helps you understand what the results mean.
Advisor is the guided workflow inside MARK-17. It reads the benchmark evidence you already have and helps turn it into a practical next step.
What worked?
What failed?
Which model should you use?
What should happen next?
You see the decision first. The detail is there when you need it.
Advisor reads and uses benchmark evidence you already have. It does not launch benchmark runs itself.
Built at AiBenchLab.
We don’t stop at the demo.
Real life gets the final vote.
Something can look great in a test and still fall apart in real work.
That is why AiBenchLab Field Validation takes what we build into real business problems and measures what happens.
Then we take what we learned back to the Lab.
That is our standard: proof has to be earned.
The Follow-Up Gap
You may not need more leads.
You may need to stop losing the ones you already paid for.
- A lead comes in.
- Nobody calls fast enough.
- Follow-up stops too soon.
- Someone forgets.
- The customer moves on.
Before you spend more money buying leads, let’s find out what is happening to the ones you already have.
If there is a real problem, we use AI where it helps, measure what changes, and find out whether the fix actually works.
We will show you what really happened.
Not every experiment works.
Good.
A failure can teach us as much as a win if we are willing to tell the truth about it.
As AiBenchLab grows, we will show what we tested, what broke, what surprised us, what we changed, and what finally worked.
No fake case studies.
No victory laps before the evidence exists.
What we can honestly tell you today
We are field-testing our own systems in real outreach campaigns right now, and we will publish anonymized results as the data comes in. Until those numbers exist, we are not going to quote you a percentage.
When there is real customer feedback, verified reviews, and measured field results, you will see them here — with the failures alongside the wins, and only with the customer’s permission.
Proving AI works is one problem. Finding people to do it for is another.
If you consult on AI, or want to, you eventually run into both. So we built for both.
MARK-17
Prove which AI actually works.
Test the options against real work, compare the results, and keep evidence your client or your board can check.
LYDIA-12
Find the businesses that need it.
Search your market, look at what is publicly visible about each business, and prepare proof built for that one company. Your team still reviews it, sends it, and decides.
Together they cover the path from “I want to do this work” to “someone is paying me to do it”: LYDIA-12 finds the business problem, MARK-17 proves the answer. Neither product requires the other, and you can start with whichever problem is currently costing you more.
MARK-17 is working software in beta. LYDIA-12 is still under development, and we are not going to pretend otherwise — pricing and availability are unsettled. If you want to be part of the early field testing, say so and we will tell you exactly where it stands.
Stop guessing. Start testing.
If you need to know which AI fits a real job, start with MARK-17.
Have a business problem you think AI might help solve? Ask for a review.
Want to read first? Browse the docs or get support.