Our team has been part of the German AI scene since the 2010s. Over the past decade, we've watched the industry evolve from clunky experimental chatbots to the sophisticated, multi-modal Voice AI agents now running critical business operations.
But through all those years of building production-level systems, one problem kept coming back to haunt us: what we call the Evaluation Gap.
Getting a voice agent to shine in a controlled demo? That's a solved problem. Getting it to stay safe, consistent, and compliant across thousands of unpredictable real-world customer calls? That's a completely different beast. For too long, figuring out whether an agent is actually ready for production has been a manual, fragmented, and frankly unreliable process.
Today, we're launching Wir_Schwatzen in Nürnberg to change that.
The Challenge: Flying Blind with AI
Voice AI is fast becoming the primary interface for businesses worldwide, yet many organizations are still essentially guessing how their agents will behave when things get messy. That guesswork creates three real risks:
1. Regulatory Exposure
The EU AI Act is now in effect, and where and how you process data is no longer optional; it's a legal requirement. Routing sensitive voice data and proprietary information outside Europe has quietly become a serious compliance problem.
2. The QA Bottleneck
Manual testing simply can't keep up with how fast AI gets deployed. Without automation, teams are stuck choosing between slow launches and shipping agents nobody's properly vetted.
3. Lost in Translation
Most evaluation tools were built on non-European datasets. They routinely miss the linguistic quirks and cultural expectations that matter most in our regional markets.
Our Mission: Taking the Guesswork Out
At Wir_Schwatzen, we build the automated infrastructure that lets you move a voice agent from the lab to a live customer line and actually trust it. We focus on three things:
- Data Stays in Europe: Our entire infrastructure runs on European soil. That means your testing data, voice prints, and proprietary prompts never leave European jurisdiction, fully aligned with GDPR and the EU AI Act.
- Automated Stress-Testing: We swap out subjective manual reviews for objective, repeatable scenario testing. Your engineers get to spend their time building, not debugging.
- Fast, Actionable Diagnostics: Our no-code scenario builder lets Product Managers and CX teams simulate complex interactions and get immediate feedback on latency, word error rate, and sentiment accuracy, with no engineering bottleneck required.
How It Works
The Wir_Schwatzen platform is built as a decoupled system designed for serious benchmarking:
- The Test Agent is a dedicated execution engine that kicks off interactions programmatically, simulating different user personas and throwing edge cases at your system to find exactly where it breaks.
- The Management Platform is a central hub that transcribes every interaction and generates clear, objective KPIs covering everything from response fluency and tone to regulatory compliance.
Built in Nürnberg, Built for Europe
The name Wir_Schwatzen captures what we're really after: making conversations with AI feel as natural and dependable as talking to a person.
After ten years in the trenches of AI development, we're turning our focus to the part that matters most, knowing the truth about how your agent actually performs. It's time to stop guessing and start measuring.