ai-reliability
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Carl Bate Wants AI to Show Its Work
After three decades translating between software, strategy and human behavior, the Evidium founder is pursuing a stubborn idea: consequential AI should make its reasoning inspectable.
Dan Roth
Dan Roth is the co-founder and CEO of Scaled Cognition, a Mountain View AI company building reliable, hallucination-free models for enterprises. Its flagship Agentic Pretrained Transformer (APT) tops agentic benchmarks and powers customer-service agents that follow policy and take action where accuracy matters, such as banking, insurance, and telecom. In June 2026 the company raised a $100 million Series A led by Khosla Ventures at a roughly $750 million valuation. Roth is a repeat founder: he co-founded Semantic Machines, an early conversational-AI company acquired by Microsoft in 2018, where he then served as corporate vice president of conversational AI, and earlier built Voice Signal Technologies, acquired by Nuance.
Leonard Tang
Leonard Tang is the co-founder and CEO of Haize Labs, a New York AI safety startup that stress-tests frontier language models by automatically jailbreaking them before they reach the public. A Harvard math and computer science graduate who turned down a Stanford PhD, Tang built Haize into a venture that frontier labs like OpenAI and Anthropic pay to break their models on purpose. By 2024 the company had raised a $12.5M seed led by General Catalyst at a $100M valuation, roughly eight months after founding, and Tang landed on Forbes' 2025 30 Under 30 list for AI.
Mohak Sharma
Mohak Sharma is the co-founder and CEO of HoneyHive, a New York-based AI observability and evaluation platform that helps companies ship reliable AI agents to production. Built OpenTelemetry-native, HoneyHive lets engineering teams trace, test, and monitor multi-step AI pipelines and answer the deceptively hard question of what their agents are doing and why. Sharma started the company in 2022 with his former Columbia roommate Dhruv Singh, and by 2025 had raised $7.4M in total funding, including a $5.5M seed led by Insight Partners, while serving Fortune 100 customers in insurance and banking.
Scott Clark
Scott Clark is the Co-founder and CEO of Distributional, an enterprise AI testing platform that helps companies identify behavioral drift and unknown failures in AI systems. A triple-degree graduate of Oregon State University with a PhD in Applied Mathematics from Cornell, he co-founded and sold SigOpt (a Bayesian optimization platform backed by Y Combinator and a16z) to Intel in 2020, then led 200 engineers as VP & GM of AI/HPC Supercomputing at Intel before founding Distributional in September 2023. The company raised $30M in under a year, including a $19M Series A led by Two Sigma Ventures in October 2024.