AI & Machine Learning Start-Ups, Professionals, Investors Networking NYC
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AI & Machine Learning Start-Ups, Professionals, Investors Networking NYC

28 January Online

About this event

✨ To join this event, please make sure to book your ticket here 👉 https://www.eventbrite.co.uk/e/1978408355649?aff=oddtdtcreator
Spaces are limited, and only registered guests with a ticket will be able to attend. Don’t miss out!

Join us for a focused networking evening bringing together AI and Machine Learning startup founders, engineers, investors, researchers, and industry professionals building and investing in the next generation of intelligent technologies.
This event is designed for people who want real conversations, practical insights, and meaningful connections — whether you’re building AI products, scaling ML systems, investing in deep tech, or applying AI across industries.

Event Highlights

  • 1-Minute Startup Pitches – Founders introduce their AI or ML product, problem, or use case in a fast, impactful pitch.
  • Open Networking – Connect with founders, data scientists, ML engineers, product leaders, investors, and operators.
  • Match-Style Introductions – Simple, effective prompts to help you meet relevant people quickly.
  • Collaboration Opportunities – Discuss funding, partnerships, pilots, hiring, research collaboration, and real-world applications.

Who Should Attend

  • AI & Machine Learning Startup Founders
  • Entrepreneurs & Innovators in Artificial Intelligence
  • Investors, VCs, Angels & Accelerators
  • Data Scientists, ML Engineers & AI Researchers
  • Product Managers, CTOs & Technical Leads
  • Business Development, Ops & Growth Professionals
  • Anyone building, investing in, or applying AI & ML solutions

Why Attend

  • Meet the right people – investors, co-founders, collaborators, customers, advisors, and talent.
  • Showcase your startup through quick, high-impact pitching.
  • Explore real opportunities – funding, pilots, partnerships, and commercial use cases.
  • Exchange insights on model development, deployment, scaling, regulation, and ethics.
  • Grow your network with people actively working in AI and ML.
  • Stay ahead of trends shaping artificial intelligence across industries.

This event is designed to help you build strong connections, gain visibility, and accelerate progress in the AI & Machine Learning ecosystem.

Register now - space is limited to 50 attendees only!
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Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.