Podium

Podium delivers multi-language AI voice support at scale

Hamming's load testing capabilities helped us validate our voice agent performance under high traffic and across multiple languages, giving us confidence in our ability to scale globally.

Jordan Farnworth, Director of Engineering at Podium

Podium logo
Company Logo
Location
Lehi, Utah
Industry
Customer Engagement
Funding
Series D ($3B+ valuation)

Use Cases:

  • Multi-language voice agent testing
  • Load testing and performance validation
  • Real-time monitoring and analytics
  • Accent and dialect coverage

Meet Podium

Podium is a customer engagement platform that helps businesses manage conversations across messaging, voice, and reviews.

www.podium.com

As Podium expanded globally, their voice agents needed to perform consistently across multiple languages and accents. With customers expecting fast, accurate responses regardless of language or region, manual testing could no longer keep pace with their growth.

With Hamming, Podium was able to

Rapid iteration on voice agents while maintaining high quality standards
Consistent performance globally across multiple languages and accents
Analytics to optimize voice agent performance and improve customer satisfaction
Confidence to launch in new markets without extensive manual QA

The Challenge: Scaling Voice Agent Quality Across Languages and Markets

Podium's voice agents needed to work reliably across multiple languages, accents, and regional phrasing differences. Manual testing couldn't capture these nuances at scale.

Each language required careful validation, but relying on manual reviews and native-speaker testing for every new feature was not sustainable.

Peak traffic periods also exposed issues that were hard to reproduce with manual, low-volume testing alone.

Podium's voice agent testing dashboard showing multi-language support capabilities with performance metrics across different languages and accents

The Multi-Language Testing Problem

  • Language coverage gaps: Manual testing couldn't keep up with multiple languages and regional variations

  • Slow validation cycles: Each new capability required repeated manual testing across languages and accents

  • Peak traffic blind spots: Issues appeared under load conditions that were hard to reproduce manually

  • Regional nuance risk: Subtle phrasing differences went undetected without scaled testing

The Impact

The Impact for Podium
MetricResult
Languages tested with accent variations8+
Test scenarios executed monthly5,000+
Reduction in manual testing time90%
Concurrent calls simulated1,000+

Before and After Hamming

Test coverage per language
Manual and limited
Scaled automated coverage
Time to test new feature
Slow, manual validation
Automated, repeatable runs
Load testing capability
Limited manual load checks
1,000+ concurrent calls
Accent and dialect coverage
Inconsistent coverage
Regional variants included
Issue detection time
Reactive, manual review
Proactive monitoring and alerts

How Hamming Solved Multi-Language Voice Agent Testing

01

Multi-Language Test Scenario Creation

Hamming enabled Podium to create comprehensive test scenarios across their supported languages. The platform helps cover regional phrasing differences, formality, and expectations without relying on purely manual testing.

These scenarios include variations in tone, intent, and customer context so the team can validate how agents respond across markets.

Learn more: Multi-Language Support for Voice AI Testing →

Multi-language test scenario creation interface
02

Load Testing and Performance Validation

Podium's voice agents handle traffic spikes during business hours, launches, and seasonal peaks. Hamming's load testing simulates 1,000+ concurrent calls across different languages, measuring response times, accuracy, and system stability under realistic conditions.

Testing under load helped surface performance issues before they reached production.

Learn more: Guide to AI Voice Agent Quality Assurance →

Load testing and performance validation dashboard
03

Continuous Monitoring and Optimization

Hamming's real-time monitoring tracks performance metrics across all languages and identifies issues before they impact customer experience. The platform surfaces trends like increasing response latency in specific languages or declining accuracy for certain query types.

When Podium updated their French-language model, monitoring detected a 15% drop in intent recognition for appointment-related queries within hours. The team rolled back the change and investigated, avoiding days of degraded service for French-speaking customers.

Real-time monitoring and optimization dashboard
04

Accent and Dialect Testing

Beyond language, Podium tests how their agents handle diverse accents within each language. English tests include American, British, Australian, Indian, and non-native speaker accents. This ensures the voice agent understands callers regardless of their background.

The team discovered their agent struggled with Scottish accents, misinterpreting common words 30% of the time. After retraining with Hamming-generated test data, accuracy improved to 95%, opening up the UK market with confidence.

Accent and dialect testing configuration

Why Podium Chose Hamming

Podium evaluated multiple voice agent testing platforms before selecting Hamming. Key differentiators included native multi-language support, realistic load testing capabilities, and the ability to test accent variations without hiring specialized QA staff.

The engineering team was particularly impressed by how quickly they could set up new language tests. What previously required weeks of coordination with native speakers could now be configured in hours.

Podium chose Hamming because:

Native support for 8+ languages with regional accent variations
Load testing at 1,000+ concurrent calls matches real-world traffic patterns
New language tests can be deployed in hours, not weeks
Test scenarios capture cultural and regional nuances automatically
Real-time monitoring catches regressions before customers notice

The Results

Hamming transformed how Podium approaches voice agent quality. The QA team shifted from reactive bug-fixing to proactive quality improvement. Engineers now ship updates with confidence, knowing automated tests will catch issues across all languages before they reach production.

The business impact was immediate. Podium launched in 3 new markets in the quarter after implementing Hamming, confident their voice agents would perform reliably from day one. Customer satisfaction scores for voice interactions improved 12% as quality became more consistent globally.

01

90% Reduction in Manual Testing Time

What used to consume the QA team's entire week now runs automatically. Engineers freed from repetitive testing now focus on improving agent capabilities and expanding language support. The team tests more scenarios in a day than they previously could in a month.

02

3 New Markets Launched with Confidence

Hamming's multi-language testing enabled Podium to expand into Germany, France, and Brazil within a single quarter. Each market launch was supported by comprehensive testing that validated thousands of scenarios in the local language and dialect variants.

03

Zero Production Outages from Voice Agent Issues

Since implementing Hamming, Podium has had zero production outages caused by voice agent defects. Load testing catches performance issues before deployment. Multi-language testing catches localization errors before they reach customers. The team ships faster because they catch problems earlier.

“Before Hamming, launching a new language was a multi-week project involving native speakers, manual testing, and crossed fingers. Now we can validate a new language in a day and launch with confidence. The test coverage we get automatically is better than what we used to achieve manually.”

Jordan Farnworth

Director of Engineering at Podium

What's Next

Podium is expanding their voice agent capabilities to support more complex multi-turn conversations and additional languages including Japanese and Korean. With Hamming's testing infrastructure in place, they're confident they can maintain quality as they scale.

The team is also exploring Hamming's analytics capabilities to identify optimization opportunities across their existing language support, using real interaction patterns to continuously improve agent performance.

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