Miguel Amigot II

About Miguel Amigot II

Miguel Amigot II is Chief Technology Officer at ibl.ai. Location: New York, New York, United States.

We built ibl.ai because organizations shouldn't have to rent their AI infrastructure from someone else. ibl.ai is a sovereign AI operating system. You own the code, you own the data, you control the models. Deploy on your cloud or ours — AWS, Azure, Google Cloud, air-gapped on-prem. Swap LLMs without rewriting a single integration. No vendor lock-in, no per-seat pricing traps. What makes us different: → Full source code ownership. Not a SaaS dependency — capitalizable IP on your balance sheet. → LLM-agnostic. Run OpenAI, Anthropic, Google, open-source models, or all of them simultaneously. → 160+ pre-built AI agent templates across student support, instruction, administration, operations, research, and compliance. → One agent per user. One agent per administrator. Autonomous operations. → Flat institutional pricing. At 1,000 users, per-seat alternatives cost $300K/year. We cost a fraction of that. Trusted by Kaplan, Syracuse University, Fordham University, and SUNY. Partners with Google, Microsoft, Amazon, and NVIDIA. 1.6M+ users across 400+ organizations. We're a family-owned company based in New York City. We build long-term partnerships — not quarterly vendor relationships. Sectors we serve: Higher Education, K-12, Government & Defense, Healthcare, Legal, Financial Services, and Enterprise. If your organization needs AI infrastructure you actually own — let's talk. Book a call: https://ibl.ai/contact

Skills

• Education
• Predictive Analytics
• Large Language Models (LLM)

Additional experience

• Gen AI + Education Speaker

  ibl.ai

  Started May 2018

Education

• Bachelor's, New York University
• edX