Post by AIxBlock, Inc

After seven years delivering speech data to enterprise teams, we can usually tell within one call whether a buyer's evaluation will hold up under audit, or fall apart in compliance review six weeks later. The ones that fall apart almost always shortlisted on the same two signals: lowest price per hour and highest language count. Both are the wrong things to optimize for when choosing a speech data collection service. The August 2 enforcement deadline for EU AI Act Article 10 has compressed buyer timelines from six months to six weeks. That compression is punishing teams who evaluate on the surface. The questions that actually decide outcomes rarely make it into the RFP: 🏗️ Where does the audio physically sit during transcription and QA? If recordings touch the vendor's cloud at any point, that is a data residency event, whatever the contract says about retention. The honest test: if your vendor is breached tomorrow, does your training corpus show up in the breach? If yes, you have contractual sovereignty, not architectural sovereignty. Only one survives a DPIA review. 🎯 What does "100+ languages" actually contain? Usually one corpus per language. Production English for a US call center is not one accent. General American, AAVE, Indian English, Filipino English, Caribbean variants each carry measurable WER differences once a model trained on one meets another. Coverage depth decides accuracy. Language count is a vanity metric. 📋 What are the QA layers, named? "Rigorous quality processes" is not an answer. Ask for the tier structure, the inter-annotator agreement threshold actually enforced before paid work begins, and the calibration cadence on contributors. If a vendor cannot name these in the first call, they have not operationalized them. The teams that clear Article 10 cleanly are not chasing the cheapest hour. They are checking whether a provider can answer architectural questions directly, without escalating to legal. In our latest newsletter, we lay out the full buyer framework: when off-the-shelf call center audio beats custom collection, where data sovereignty fails under audit, and the five vendor red flags that predict a failed project before the contract is signed. Read the full newsletter below ↓ #SpeechAI #ASR #VoiceAI #AIxBlock #TrainingData #DataSovereignty #RegulatedAI #SpeechRecognition #EUAIAct