Kloner AI
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Kloner AI StackBlitzKloner AI's answer
Kloner AI is the first platform to define the Visual Agent category. While traditional AI avatars suffer from 3-to-5 second delays, our proprietary GPU-optimized inference engine delivers sub-second latency (<1.1s total response time). This achieves "Neural Fluidity"โa natural, real-time conversational flow that feels like a face-to-face video call rather than a scripted interaction. Additionally, weโve disrupted the industryโs billing model by offering unlimited conversation time based on concurrent capacity, eliminating the "per-minute" billing trap.
Kloner AI's answer
Our primary audience consists of Enterprise Organizations in high-stakes sectors:
Healthcare & Medical: For scalable Standardized Patient (SP) simulations and clinical training. HR & Corporate Training: For bias-free interview practice and difficult conversation role-play. Website & Digital Marketing: For brands looking to replace static text agents with 24/7 interactive Brand Ambassadors. Customer Experience (CX): For teams training agents in de-escalation and high-stress customer service scenarios.
Kloner AI's answer
Kloner AI was founded by Debesh Bar, a technologist and former Co-founder/CTO of MedVR Education (acquired by the NBME). In 2025, when most systems still struggled with 3-second delays, Debesh set out to re-engineer the orchestration pipeline from the ground up. Kloner AI was born from the mission to bridge this "latency gap" and provide enterprises with a visual interface that genuinely represents human intelligence.
Kloner AI's answer
Kloner AI is built on a custom, cloud-native computational pipeline designed for GPU-optimized neural inference. Our stack includes:
Proprietary Rendering Pipeline: Achieving <1.1s total round-trip response time. Next-Gen Video Synthesis: Pixel-by-pixel frame synthesis for hyper-realistic lip-sync. Universal Voice and speech recognition engine Integration: Supporting BYOK (Bring Your Own Key) for ElevenLabs, Cartesia, and Sarvam AI.
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In the code editor tab (powered by StackBlitz), navigate to the env.ts file and enter your OpenAI key. Run npm run generate in the terminal to see how @autoview generates TypeScript frontend code from example schemas derived from both TypeScript types and OpenAPI documents. - Source: dev.to / over 1 year ago
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