About us

AI IS TODAY'S ELECTRICITY

When electricity arrived, it didn't just light up rooms. It ended entire industries. Candle makers, lamp oil refiners, matchstick factories – all became relics almost overnight.
The lesson is simple: when a new kind of power arrives, you either adapt or vanish.

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FROM MANUAL TO INTELLIGENT QA

1990 – 2000s

Manual QA era

Testing was slow, exhaustive, and entirely human-driven. Teams spent weeks (sometimes months) validating releases by hand. Accuracy depended on people’s patience, and coverage was always limited.

2010s

Automated QA era

The first wave of automation arrived. Scripts could run repetitive checks far faster than people. But automation came at a cost: brittle scripts that broke with every code change, requiring endless maintenance.

Late 2010s onward

Continuous Testing era

Testing integrated into CI/CD pipelines. Releases became faster, and checks ran automatically. Yet even with automation, human oversight and maintenance remained heavy. QA lagged behind the speed of agile development.

2020s

The AI Divide

Testing integrated into CI/CD pipelines. Releases became faster, and checks ran automatically. Yet even with automation, human oversight and maintenance remained heavy. QA lagged behind the speed of agile development.

Today

PrawdaDigital’s Leap

- Tests that generate as quickly as code changes
- Suites that heal themselves instead of collapsing with every update
- Metrics that bring full transparency

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FROM CANDLES TO CURRENTS

At PrawdaDigital, we’ve spent over 20 years testing software for industries where failure isn’t an option – banking, healthcare, high-growth tech. And we’ve watched sectors rise or disappear based on how quickly they adapted.

Our Mission

We want to make quality control as fast, consistent, and intelligent as modern software demands

We don’t replace people — we remove the friction that holds them back, turning QA from a bottleneck into a catalyst.

10+

Years average team experience

35%

Increase in ROI from testing

90%+

Test coverage achieved

AI in QA shouldn’t be hype or black boxes. It should be built to last.