EdgeLab · Simulated Output

Most technology is built for the average user. The average user doesn't exist.

EdgeLab runs hundreds of AI agents across digital products — simulating the people that standard QA never tests. We don't check whether your product works. We find out for whom it doesn't.

Platform: ████████

Agent profiles

What EdgeLab tests

Unlike traditional accessibility audits that check for compliance, EdgeLab agents live inside your product — navigating real flows, hitting real friction, failing the same way real users do.

Full feature coverage

Agents don't just test signup. They use every feature — search, upload, settings, notifications — the way a real user would over weeks of use.

Behavioural simulation

Each profile has distinct behaviour patterns: keyboard-only navigation, slow reading speed, frequent interruptions, or low bandwidth tolerance.

Failure documentation

Every blocked path is recorded with context: which feature, which profile, how many runs, and what the agent was trying to do when it failed.

Scale without bias

Hundreds of runs per profile eliminate noise. You see systemic failure patterns, not one-off edge cases.

Why this matters

The people your product fails don't leave reviews. They don't open support tickets. They just leave — quietly, without telling you why.

Add up all the minorities — immigrants, people with disabilities, non-native speakers, elderly users, people on slow connections — and you don't have a niche. You have a majority you're not serving.

By the numbers
1 in 6 people
lives with some form of disability (WHO)
750M adults
cannot read or write — zero presence in training data
56% of internet
is in English, spoken natively by 5% of the world
$450M/year
Black and Latino borrowers overpay on US mortgages due to algorithmic bias

Interested in running EdgeLab on your product?

EdgeLab is currently in development. If you're building something where inclusion matters — reach out. Early conversations welcome.

Get in touch

EdgeLab · Simulated output for demonstration purposes · Data does not represent a real audit of any named platform