Marty Massih Sarim is the President of Sanas, a real-time speech AI platform that modulates accents and eliminates background noise for contact center agents globally. An Afghan refugee who came to the US in the early 1980s and started his career at 18 as a call center agent, Sarim brings over 25 years of BPO and contact center industry expertise to Sanas. He is also Co-Founder and General Partner at Carya Venture Partners, a $20M micro-fund focused on deep tech and enterprise AI, and founder of the Moe123 Scholarship Fund, which has awarded $125,000+ to high school seniors in the Minneapolis area.
Maxim Serebryakov is the Co-Founder and CEO of Sanas, a Palo Alto-based AI company building the world's first real-time Speech Understanding Platform. Born in New York and raised in Russia, Serebryakov co-founded Sanas at Stanford with two fellow international students after witnessing a friend face accent discrimination in a contact center. The company's AI modulates accents in real time while preserving a speaker's voice, tone, and emotion - serving 150,000+ live agents across 39 countries. Sanas has raised $149.2M in total funding, including a $65M Series B led by Quadrille Capital in February 2025.
Ashish Nagar is the Founder and CEO of Level AI, a Mountain View-based enterprise AI company that has raised $73.1 million to transform how contact centers operate. Armed with a B.Tech in Applied Physics from IIT Delhi, a Stanford MS, and a Stanford GSB MBA, Nagar cut his AI teeth building the Alexa Prize at Amazon — a project to make Alexa hold a 20-minute conversation on any topic, collaborating with researchers from MIT, CMU, Stanford, and Oxford. He founded Level AI in 2019 after recognizing that the same ambient AI breakthroughs powering voice assistants could be turned toward the unglamorous but massive world of customer service. The company's vertically integrated, CX-native large language model now analyzes 100% of customer conversations for enterprises like Affirm, Penske, and Carta, detecting seven distinct emotions, cutting call handling time by 10-25%, and onboarding agents 30-50% faster.