Clarity

Mute the room, keep the speaker, in real time

Artificial IntelligenceTechAudio

▲ 0 votes2 commentsLaunched Oct 1, 2026

Daily #13Weekly #116

Real-time speech enhancement and target speaker extraction for voice agents. Clarity-1 strips out background noise and other people talking on a live call, so your agent hears only the caller. Streams as audio arrives. Hear the before/after on our site.

AI Analysis

📝 Summary

Clarity is an AI-powered real-time speech enhancement and target speaker extraction solution for voice agents. Core features include Clarity-1, which removes background noise and interfering voices from live calls, streaming clean audio of only the target speaker as it arrives. It directly addresses pain points like noisy environments causing AI agents to mishear or misinterpret callers. USP is precise, low-latency target speaker focus tailored for voice AI. Value proposition: enables reliable, high-accuracy voice agents in real-world settings by muting the room while keeping the speaker.

📈 Market Timing

The timing is favorable for 2025-2026 as AI voice agents see explosive growth in customer service and automation, with maturing real-time audio AI tech (e.g. advanced neural separation models). User demand for robust performance in noisy real-world calls is rising amid economic pressures for efficient AI deployment. Policy support for AI innovation further aids adoption. Excellent Timing.

✅ Feasibility

High. Real-time speech separation is technically achievable with current DNN models, though optimizing for low latency adds complexity. Moderate development and cloud inference costs; low supply chain risks but potential data privacy compliance needs. Strong scalability via API streaming. Requires AI audio expertise for team fit. Overall high feasibility with good potential for iteration.

🎯 Target Market

Primary segments: Developers and enterprises building voice AI agents, customer support SaaS companies, and AI telephony platforms. Demographics: Tech professionals aged 25-45 in B2B settings. Geographic focus: US and Europe. TAM for conversational AI ~$20B by 2026; SAM for real-time audio enhancement tools ~$1B; SOM for voice agent niche ~$200M. Core pains: inaccurate agent responses due to audio interference. High willingness to pay for API-based accuracy boosts.

⚔️ Competition

Medium. Direct competitors: 1. Krisp (krisp.ai), 2. NVIDIA Maxine (nvidia.com/maxine), 3. Deepgram (deepgram.com), 4. AssemblyAI (assemblyai.com). Advantages vs competitors: specialized real-time target speaker extraction optimized for voice agents with true streaming. Disadvantages: newer product with potentially fewer integrations and less established brand trust; may have higher initial setup complexity compared to general noise cancellers like Krisp.

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