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Your brand is the on-sale that didn't fail.
Nobody remembers the 364 days the checkout worked. They remember the queue that collapsed at 10:00 on the day everyone was watching, and the apology that followed. Zenius exists so that day is rehearsed, covered and signed off by a named engineer before it arrives — and so your team keeps shipping at AI speed without you carrying the risk personally.
Who trusts us with their peak
Brands that live and die on a date.
SI Tickets
A ticketing marketplace with on-sales — including World Cup matches — where everyone arrives at once. Ten developers per QA engineer; QA absorbed AI-speed development without adding a single person; 50% faster from pull request to validated.
AVIS Budget
Fleet and booking flows where fare rules, dates and third-party inventory meet campaign spikes. Outcome details available under reference.
Named references are provided during evaluation. We do not publish client numbers without their sign-off — which is also how we will treat yours.
What a failed peak costs
The invoice arrives in three currencies.
Revenue that goes to the competitor whose site stayed up. Refunds, credits and support hours. And the one that doesn't show on the P&L until later: the trust that a queue, a double-charge or a vanished seat takes with it.
- 91% of mid-size and large enterprises put an hour of downtime above $300,000 — ITIC, 2024 survey of 1,000+ firms.
- 1 in 5 organisations said their most recent impactful outage cost more than $1M — Uptime Institute, 2026.
- 6 in 10 organisations still deploy untested code; one in five loses more than $1M a year to poor software quality — Tricentis, 2026 (2,501 respondents).
- 52% of QA engineers say bug volume rose after their developers adopted AI; none report a QA hire in response — DeviQA, 2026.
Sources linked on the ROI calculator.
How the brand is protected
Four guarantees you can repeat to your board.
The peak is run before the date
Event-scale rehearsal two to three weeks out — seat holds, queues, gateway retries — so the breaking point is found while it can still be fixed. Proven through World Cup on-sales on a live platform.
Every release, every merge
A 316-case proven library and AI-generated tests run in the pipeline on every merge, with every failure classified and every fix re-verified. Trends, not last-run luck.
A person is accountable
A named senior engineer signs the go/no-go before every release, with the evidence attached. When something is not safe, they say no — and have the authority to.
Someone is there on the day
An engineer on standby through the peak window, in your incident channel, with the rollback path pre-agreed. A post-event note within 24 hours.
Against the alternatives
Buy a tool, hire a team, or hire the function.
A tool generates tests and leaves the judgment to whoever has time. Hiring takes a quarter you don't have and gives you a single point of failure. Zenius is the function: senior engineers, agents and automation, priced per test under management between $60K and $250K a year, with a name on every release.
Full comparison with QA Wolf, Rainforest QA and TestlioZenius QA
A brand of Smartintent AI Solutions Private Limited. Built on seven years of running quality for products that live on a peak, and on India's largest practitioner-led enterprise AI study — 100+ AI practitioners and 40 enterprise leaders interviewed. Offices in Delhi, India and Leander, Texas; engineers on US, UK, India and Gulf hours.
- Senior people, not a bench — engineers who have shipped your kind of system
- Outcome-based scoping with a number attached, not open-ended hours
- You own everything afterwards — no lock-in