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Manually testing and listening to AI voice agents is slow, ad hoc and expensive.
Hamming is an automated voice agent testing, call analytics, and governance platform that makes your AI Voice Agents reliable.
What bugs have people discovered and fixed with Hamming?
Discovered a medical voice agent prescribing medication instead of directing users to a professional.
Identified a financial voice agent sharing inaccurate tax advice, violating compliance policies.
Detected a breaking prompt update that caused voice agents to ignore user input mid-conversation.
Found an AI drive-through agent unable to distinguish between multiple voices during group orders.
Flagged a voice assistant hallucinating non-existent promotions during customer interactions.
Discovered an AI travel agent confusing airport codes, leading to incorrect booking suggestions.
Detected latency issues in a customer service voice agent, causing users to hang up prematurely.
Identified a voice agent unable to recognize accents, alienating international users.
Exposed a bug where an AI food ordering agent misinterpreted allergy declarations, risking customer safety.
Found a legal voice agent providing unauthorized interpretations of contract terms.
Uncovered a breaking change in a multilingual agent where non-English languages were completely ignored.
Detected a bug where an AI call routing system repeatedly redirected users, leading to customer frustration.
What are customers saying about Hamming?
Before Hamming, testing our AI voice agents felt like a full-time job. Now, we catch bugs like handling allergies or noisy environments without lifting a finger.
Every update to Mia used to come with anxiety about what might break. Thanks to Hamming, we can confidently roll out changes knowing they've been automatically tested across all scenarios.
Participant engagement is critical in clinical trials. Hamming's call analytics helped us identify areas where Grace was falling short, allowing us to improve faster than we imagined.
We rely on our AI agents to drive revenue, and Hamming ensures they perform without errors. Hamming's load testing gives us the confidence to deploy our voice agents even during high-traffic campaigns.
Mortgage compliance is non-negotiable. Hamming's testing gave us peace of mind that our agents consistently meet regulatory standards while serving customers efficiently.
Hamming didn't just help us test our AI faster — its call quality reports highlighted subtle flaws in how we screened candidates, making our process much more robust, engaging and fair.
What capabilities does Hamming have?
Effortless AI Voice Agent Testing
Automate testing at scale to catch errors early, validate updates, and improve system performance seamlessly.
Before Hamming
Time-consuming manual testing of voice agents with no scalability.
Repeated, error-prone retesting every time prompts or functions were updated.
No visibility into where voice agents struggled or failed during customer calls.
Lack of detailed analytics to identify gaps in AI system performance.
Significant time and financial costs due to manual testing processes.
Testing limited to small, static scenarios created by hand.
Continuous testing and monitoring required immense effort to manage.
After Hamming
Automated testing of voice agents with 1000s of concurrent calls in minutes.
Instant retesting of prompts and functions with detailed analytics for every test case.
Full visibility into customer interactions, with flagged cases converted into test cases for future iterations.
Rich analytics showing where AI systems need improvement, with performance scoring for every scenario.
Up to 5,200 hours and $520K/year saved through automation and operational efficiency.
Dynamic generation of 1000s of real-world scenarios, including dietary restrictions, allergies, and preferences.
Continuous monitoring with automated alerts and seamless integration of real-world traces into golden test datasets.
Real-time Production Call Analytics
Gain actionable insights into live calls, with real-time alerts and detailed analytics to optimize agent performance.
Before Hamming
Passive, manual monitoring of production calls with limited insights.
No real-time visibility into issues like hallucinations, latency, or poor performance.
Difficult to identify and prioritize which production issues to address.
Calls and traces were only used for debugging, with no systematized improvement process.
Latent feedback loops leading to slower response to production issues.
Lack of a unified system to analyze and improve AI agent performance post-deployment.
After Hamming
Active, automated monitoring of all production calls, scoring performance with LLM judges.
Continuous tracking and flagging of issues like hallucinations, performance degradation, and latency in live calls.
Clear, actionable insights highlighting where your AI voice agents need attention and improvement.
Easily convert flagged calls and traces into test cases, adding them to your golden dataset for ongoing improvement.
Immediate alerts and real-time feedback loops that enable faster debugging and iteration cycles.
Comprehensive analytics platform offering granular insights on user interactions, system gaps, and improvement opportunities.
Compliance Reports
Generate detailed reports to meet regulatory standards and build customer trust.
Before Hamming
Limited ability to create detailed performance reports for customers.
Struggled to demonstrate compliance with existing or upcoming AI regulations.
Manual tracking of system performance lacked precision and transparency.
Lack of trust among enterprise customers due to insufficient accountability.
Unprepared for audits or regulatory inquiries into AI system usage.
Difficulty keeping up with rapidly evolving AI regulations and best practices.
After Hamming
Generate comprehensive performance reports, showcasing AI accuracy and reliability to build customer trust and close enterprise deals confidently.
Proactively ensure compliance with current and evolving AI Voice Agent regulations through automated monitoring and reporting.
Automated tracking and detailed analytics provide precise, transparent insights into AI system performance and decision-making.
Build customer trust with granular reporting and proof of adherence to high compliance and ethical standards.
Stay audit-ready with fully documented performance logs, compliance metrics, and a clear audit trail.
Real-time updates and alignment with regulatory requirements ensure your AI agents remain compliant as standards evolve.
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