01
Continuous load testing
AI models your traffic shape, ramps synthetic load in production-safe canaries, and finds knees in latency and throughput.
Neurixa · Autonomous QA
Test everything, forever, without writing a test.
AutoTest AI runs continuous load, chaos, security and uptime tests against your infrastructure. AI agents discover your services, learn what 'healthy' looks like, and hunt down failures — with zero manual test-case maintenance.
In production at 6 design partners — general availability Q3 2026
AutoTest AI · Live Dashboard
LOAD
98%
CHAOS
92%
SEC
100%
UPTIME
99.9%
Test suites · 12,401 runs · 24h
● CI
PASS RATE10 days
LOADprod-api · 24k rps · 43ms p95 · PASS
CHAOSus-east-1 fail-over · recovery 2.1s · PASS
SECZero-day scan · 0 critical · PASS
24/7
autonomous · no maintenance
0
manual test scripts to maintain
12k+
tests per suite · daily
94%
regressions caught pre-prod
● Capabilities
Every capability
an enterprise expects.
02
Chaos engineering
Discovers dependencies automatically, injects failures, and validates recovery. Auto-generates a resilience map.
03
Security scanning
OWASP + CVE + zero-day scanning against your live services, with prioritised, fixable findings.
04
Uptime & synthetic monitors
Golden-path checks written by AI from your user flows. Multi-region, multi-device, sub-minute alerting.
05
Service discovery
Watches your CI/CD, Kubernetes and cloud footprint. New services get tested on their first deploy.
06
Environment aware
Tests scale down in dev, ramp up in staging, canary safely in prod. Different suites, one control plane.
07
Self-healing suites
When APIs change, AutoTest updates its own tests. Broken tests are healed, not just flagged.
08
SLO tracking
Ties test results directly to your SLOs, error budgets and deploy-gates. On-call gets fewer, better pages.
09
Copilot chat
Ask 'what broke in the last deploy?' and get a root-cause narrative — with links to failing runs.
● How it works
From setup to autonomous —
in 4 steps.
01
Discover your infra
Point AutoTest AI at your Kubernetes, cloud accounts or service registry. It maps every service, dependency and API in minutes.
02
Learn 'healthy'
AutoTest observes real traffic to model latency, throughput, error and dependency baselines per service.
03
Run continuous suites
Load, chaos, security and uptime suites run 24/7 — scaled per environment, gated per deploy.
04
Auto-heal & alert
When APIs change, tests self-update. When SLOs slip, AutoTest correlates it back to the failing suite and pages the right team.
● Case studies
Real customers.
Real outcomes.
AW
Atlasworks
B2B SaaS · 180 employees · design partner since Q3 2025
Cut on-call pages by 62% and caught a critical regression before customer traffic hit it.
Challenge
Atlasworks' 4-engineer SRE team was maintaining a fragile Playwright + k6 + Datadog stack. Test flakiness caused 40% of on-call pages to be no-ops; real regressions occasionally slipped through.
Solution
AutoTest AI replaced 3,200 lines of test code with autonomous discovery + synthetic load. Chaos and security suites layered in. Every deploy is now gated by AutoTest's SLO impact analysis.
“We deleted our test framework. AutoTest just watches production, learns what healthy looks like, and pages us only when something real is broken. Our SRE team got their weekends back.”
Results after 90 days
−62%
on-call pages (real + noise)
94%
regressions caught pre-prod
3.2k → 0
lines of test code to maintain
2 hrs
weekly SRE time on tests
PA
Paramétric
Fintech · payment orchestration · PCI-DSS Level 1
Ran a 40x traffic spike test in production — without a single customer noticing.
Challenge
Paramétric processes 12,000 tx/sec on a normal day and 60,000+ during flash sales. Load-testing was manual, staging didn't mirror prod, and one bad deploy in Q4 caused a 9-minute outage.
Solution
AutoTest AI generates production-safe canary load against a shadow-traffic slice, then extrapolates capacity envelopes. Chaos suite injects payment-provider timeouts and validates the fail-over path.
“We used to be scared of Black Friday. AutoTest ran a 40x load spike in production and no one noticed — that's the whole point. We deployed confidently through the busiest quarter we've ever had.”
Results after 90 days
40×
traffic spike modelled safely
9 min → 0
unplanned outages · 6-mo
3 wks → 2 hrs
capacity-plan cycle
100%
PCI compliance maintained
● Frequently asked
AutoTest AI · Questions answered.
Is AutoTest AI safe to run in production?+
Yes — that's the point. AutoTest uses shadow traffic, canary sampling and per-service circuit-breakers. Load and chaos tests are always gated by SLO impact analysis, and any test that risks user impact requires explicit approval.
How does AutoTest discover services?+
AutoTest AI reads your Kubernetes / ECS / Cloud Run / Lambda topology, watches CI/CD deploys, and can also consume OpenAPI, gRPC reflection or Envoy config to enumerate endpoints and dependencies.
Do I need to write any test scripts?+
No. AutoTest AI generates its own suites from observed traffic and API schemas. You can override or augment any generated test in plain English via the copilot.
How does self-healing work?+
When an API schema, response shape or auth flow changes, AutoTest detects the diff, proposes updated tests and — if configured — auto-applies them. Human review is optional per suite.
What SLA is available?+
Design-partner customers get a 99.9% control-plane SLA today. GA in Q3 2026 will ship with a 99.99% SLA and dedicated on-call for enterprise customers.
How is AutoTest priced?+
Per service under continuous test, per environment. Enterprise pricing scales with test volume. Design-partner discounts remain for the first 12 months of GA.
● Pairs well with
Wire AutoTest AI into the
Neurixa stack.
Real-Time Data
PRISM
Stream test results and SLO signals into your data warehouse for long-term analysis.
Learn moreAI Employees
WingerX
Route AutoTest incidents into AI Support Employees for auto-triage and stakeholder comms.
Learn moreVoice Intelligence
Voice AI
Test voice-first infrastructure end-to-end with AutoTest-driven load on Voice AI.
Learn more