Single sign-on
SSO is delivered as part of Enterprise deployments, integrated with your identity setup during rollout, not a self-service SaaS toggle.
Wopee.io for enterprise combines autonomous AI testing agents with the controls large organizations require: EU data residency by default, deployment options from managed cloud to full on-prem, bring-your-own-LLM across Azure OpenAI, Google Vertex AI, Anthropic, and OpenAI-compatible endpoints, and a structured 8-week pilot program that ends with a clear go/no-go decision backed by measurable results.
Start in the cloud. Move behind your firewall whenever your security posture requires it. The platform stays the same.
Fully managed in the Wopee.io cloud, with data in EU data centers by default. Start testing the same day.
Keep your application behind your firewall and allow Wopee.io cloud IP ranges. IP ranges are provided during onboarding.
A secure VPN or SSH tunnel between the Wopee.io cloud and your internal network. Nothing else is exposed.
Agents execute inside your network, or the full platform runs in your own data centers for maximum data control.
Identity, permissions, and accountability, set up with you as part of the Enterprise rollout
SSO is delivered as part of Enterprise deployments, integrated with your identity setup during rollout, not a self-service SaaS toggle.
Configurable roles with appropriate permission levels, per-project access, and the principle of least privilege.
User actions are logged for accountability and compliance. Access management can be administered by Wopee.io or delegated to your team.
Run Wopee.io agents on the model account your organization already governs. Configure providers per project. Credentials are stored encrypted and resolved by agents at runtime.
Your prompts and data flow through your provider agreement, which keeps model governance and data residency in your hands.
EU data centers by default. We never train models on your code or test data. All exchanged data is deleted within 30 days when you leave. Encryption in transit and at rest. The full data flow, what connects where and why, is documented for your security review.
Read the security overview →A structured engagement on one of your applications, with a dedicated Wopee.io team, agreed metrics, and a go/no-go decision at the end.
Week 1
Introduction training on autonomous testing methodology and the Wopee.io platform, then infrastructure setup and connectivity verification.
Week 2
AI Testing Agent set up for your first application and the first 5 sample test scenarios created and running.
Weeks 3–7
Tests run and expand week over week. Weekly review meetings track progress against the metrics agreed at kickoff.
Week 8
Final demonstration for stakeholders, a lessons-learned workshop, and a clear go/no-go decision on broader adoption.
Wopee.io brings an autonomous testing coach and an engineer. You bring SRE/DevOps for connectivity, your testing team for scope, and stakeholders for reviews.
1–2 hours per week for review meetings, plus 30–60 minutes a day for test monitoring and feedback. We handle the implementation.
Generated Playwright code can be published to your own Git repo. If you stop, all exchanged data is deleted from Wopee.io systems within 30 days.
70–90%
less time to create tests
2–5x
increase in test coverage
60–90%
less maintenance effort
Typical improvements observed during pilot projects. Actual results vary with your testing maturity, application complexity, and team engagement. That is exactly what the pilot measures.
1,600+
automated regression tests
SYNOT TECH, a full-stack iGaming provider operating in regulated European markets, runs across multiple teams, with Wopee.io complementing their automation with visual verification.
Read the SYNOT TECH case study →