No. 70Models & Infrastructure
Oren Debbi and Yoav Taieb on Why the Image Signal Processor Is Moving to Software
The real moat and secret sauce of our business is the training platform.
Oren Debbi · Co-founders, Visionary.ai
Foundation Models & Infrastructure interviews
Developer tools, data infrastructure, and the research underneath the models.
15 interviews in this sector
15 people Foundation Models & Infrastructure interviews funding →
15 people Foundation Models & Infrastructure interviews funding →
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Every interview in Foundation Models & Infrastructure interviews
No. 62Models & Infrastructure
Sebastian Völkl on Why Engineering Breaks at Requirements
The hardest barrier is risk perception tied to accountability, not technology.
Sebastian Völkl · Founder, Dalus
No. 61Models & Infrastructure
Anton Vice on Why AI Still Depends on Human Data
Misuse risk is real! And high-fidelity human data raises that bar.
Anton Vice · Co-founder & CTO, Grably
No. 59Models & Infrastructure
Borja Díaz-Roig on Why UX Breaks When Validation Is Too Slow
Human testing isn’t going away and we don’t think it should.
Borja Díaz-Roig · Co-founder, Uxia
No. 52Models & Infrastructure
Elia Saquand and Alessia Paccagnella on Transparent AI Backends with VibeFlow
You can’t build reliable systems on rented logic.
Elia Saquand · Co-founders, VibeFlow
No. 51Models & Infrastructure
Deborah D. Kanubala on Causal Fairness in Algorithmic Decisions
This experience reminded me that technical fairness metrics can’t stand alone. They must be grounded in interdisciplinary thinking, especially when they’re meant to speak to questions of justice, rights, and structural inequality.
Deborah D. Kanubala · PhD researcher, Saarland University
No. 49Models & Infrastructure
Samim and Tamim Multaheb on AI-Driven Product Alignment with machinemade
Founder-sales is a non-negotiable, and something you cannot outsource.
Samim Multaheb · Co-founders, machinemade
No. 39Models & Infrastructure
Jonathan Woo and Ananth Avva on ChemCopilot’s AI for Chemistry
Ultimately, the build of materials and synthesis process is the intellectual property of the companies that chemists work for, and AI-security if that data is exposed is paramount.
Ananth Avva · Co-founders, ChemCopilot
No. 33Models & Infrastructure
Aman Sharma on Simplifying GenAI Development with Lamatic
For us, success includes democratizing AI by making it available to individuals and organizations who want to fully grasp GenAI's promise without becoming mired down in technological complexities.
Aman Sharma · Co-founder & CTO, Lamatic
No. 29Models & Infrastructure
Nadeesha Cabral on Making Legacy Systems AI-Ready with Inferable
The key lesson has been that hype doesn't replace good engineering.
Nadeesha Cabral · Co-founder, Inferable
No. 27Models & Infrastructure
Antonio Verdiglione on Privacy-First AI Analytics with Litlyx
Success means changing people's lives by providing a daily tool they can rely on whenever they need their specific metrics.
Antonio Verdiglione · Founder, Litlyx
No. 25Models & Infrastructure
Paul Hunkin on Autonomous Web Data Agents with Jsonify
We don't rely on scraping the DOM, HTML, or anything like that—what we see is what you get.
Paul Hunkin · Founder, Jsonify
No. 22Models & Infrastructure
Jac Wong on Making AI Localization Smarter with OneSky
One of the biggest challenges was gaining user trust in AI translation quality.
Jac Wong · Founder, OneSky
No. 21Models & Infrastructure
Alexander Alten on Accelerating AI with Scalytics
It's not technology that solves current problems; it's the way you solve them.
Alexander Alten · CEO and co-founder, Scalytics
No. 1Models & Infrastructure
Assaf Elovic on GPT Researcher Redefining AI-Driven Research
I believe that community monitoring is essential for ensuring our tool remains safe and objective.
Assaf Elovic · Founder, GPT Researcher
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