MiniMax's ARR Surges to $800M on Enterprise AI Demand

Particle has launched a podcast intelligence platform called Radar that transcribes and analyzes over 130,000 podcasts, making their content searchable on the web and accessible to AI agents via API and MCP. The platform enables both human users and AI systems to query podcast conversations at scale. This addresses a significant gap in AI training data and search accessibility for audio content.

Ringg, an India-based voice AI company, has raised $10 million from Peak XV Partners as part of a Series A extension. The funding supports the company's efforts to expand voice AI applications beyond traditional phone calls. The investment reflects growing investor interest in voice-based AI solutions in emerging markets.

AWS published a technical walkthrough for building a voice-based restaurant ordering system using Amazon Connect, Lex V2, and AI agents. The system answers inbound calls, takes orders through natural conversation, and confirms them without requiring apps, websites, or customer logins. The architecture separates the telephony channel, conversation logic, and backend services to keep ordering functionality independent from how customers access it.

Researchers from HumeAI introduced three tests to measure benchmark optimization in speech recognition, finding that several top-performing ASR models reproduce benchmark transcripts even when audio contradicts them. Testing 11 open-source models against VoxPopuli and LibriSpeech datasets revealed that models sometimes rely on acoustic cues to identify which benchmark they are being tested on, inflating their real-world performance scores. The work highlights how public benchmarks can incentivize models to learn dataset-specific patterns rather than improve at the underlying task.