Past event#San Francisco

New Agent Hackathon

Overview

Build the next generation of venture-backed AI companies.

Selected teams will be considered for Afore Capital’s pre-seed program ($500k–$2M+) and top applicants will be invited to an exclusive dinner with top founders and Afore Capital the night before.

https://partiful.com/e/rd41CLQtJQAvrkWLmKpk?

Following the success of Agent Foundry, A New Agent kicks off a trilogy of hackathons — each one bigger, bolder, and better than the last. This exclusive gathering brings together top founders, ambitious developers, and frontier researchers ready to build venture-scale products.

Over one intense day, 200+ hand-selected builders will design, experiment with, and deploy autonomous AI agents — from multi-agent collaboration frameworks to production-ready research prototypes.

💡 What to Expect

Hands-on technical workshops & mentorship from industry leaders
A showcase judged by top investors, operators, and AI experts
$5,000 in prizes 🏆 plus recognition & the opportunity to be backed by leading investors

This is where ideas become ventures — and ventures become companies that redefine what’s possible.

🔗 More Info 👉 aforehacks.org

Entrepreneur & Startup Incubator (E.S.I.) is a founder-driven accelerator that empowers early-stage innovators to build, launch, and scale their ventures through hands-on development, strategic mentorship, and direct connections to VCs and angel investors.

Tracks

ElevenLabs

Core track

Eudia

Core track

Minimax

Core track

Speechmatics

Core track

Vapi

Core track

Projects

Winner

Tryal AI

By Tryal AI

We're building the patient-side infrastructure for all clinical research: one profile, instant matching, and AI-guided applications at scale. This isn't just a better search tool it's rearchitecting how millions of Americans could access cutting-edge treatments instead of the few who do today. Our multi-agent AI system accelerates patient recruitment and optimizes operations throughout the entire trial lifecycle: Prescreening Agent conducts conversational eligibility assessments via voice and text, scoring candidates against trial-specific criteria from Trial Intelligence JSON and seamlessly transitioning qualified patients to scheduling. Scheduling Agent coordinates appointments by integrating with site calendars, offering available slots, confirming bookings, and sending automated reminders across SMS, email, and voice channels. Clinical Trial Coordinator Agent acts as a 24/7 digital assistant, answering protocol questions, visit preparation, and reimbursement inquiries while maintaining compliance audit trails and escalating complex cases to human coordinators. Retention/Engagement Agent proactively maintains participation through visit reminders, medication adherence nudges, and side-effect check-ins, detecting disengagement patterns and alerting coordinators for timely intervention. Impact: Transform clinical trial access from exclusive to inclusive, enabling faster recruitment, higher completion rates, and giving patients unprecedented access to life-saving treatments.

ERJ4 members

Winner

ESPN-like commentary for kids sports

By PlayVoice

We use AI (Gemini, Eleven Labs) to generate broadcast-style, play-by-play commentary over on any footage of amateur sports, like watching on ESPN. No editing skills required. Targeting youth sports parents who film their kids' games and want to share clips online.

M-J4 members

Winner

Polimarket

By Polimarket

Our platform transforms public politician trade disclosures into actionable, AI-driven investment insights for everyday investors. Today, lawmakers’ trades — legally disclosed under the STOCK Act — sit buried in PDFs, weeks late, and impossible for retail investors to use. Yet these trades often precede significant market moves, revealing where political and economic power intersect. We aggregate, clean, and structure this data in real time, then use AI agents to interpret the patterns such as which politicians are consistently outperforming. From there, users receive clear, ranked trade signals with full transparency into the source, timing, and rationale behind each move. The result is an investing co-pilot that turns obscure government filings into institutional-grade intelligence. Users can simulate or mirror trades, follow curated “Congress Portfolios,” or receive personalized alerts based on their own risk profile. In short: we bridge the transparency gap between political power and public markets — democratizing access to information that was always public, but never usable. Every investor gets the tools, data, and context once reserved for insiders — converting transparency into traction, and insight into opportunity.

UAM3 members

Winner

Donna AI

By Team Donna

This project builds an AI-powered voice agent designed to help lawyers prepare for courtroom trials through realistic mock interview simulations. The agent acts as an intelligent opposing counsel, questioning, challenging, and counter-arguing based on the details of a given case file. It helps lawyers refine their reasoning, argument structure, and response under pressure before actual court appearances - all without the dependency on senior attorneys or lawyer colleagues. Trained on diverse legal dialogue structures and case precedents, the agent can conduct scenario-based interrogations, identify logical gaps, and offer feedback on the strength of arguments. Users can input case briefs, witness statements, or evidence summaries, and the agent dynamically adjusts its questioning to mirror real courtroom exchanges. The system integrates voice interaction, natural language reasoning, and adaptive questioning logic to provide a realistic and rigorous preparation experience. By simulating both aggressive and neutral questioning styles, the agent enables trial lawyers to enhance clarity, confidence, and adaptability in legal argumentation. Ultimately, this AI mock interview assistant serves as a virtual courtroom coach, providing accessible, personalized, and repeatable preparation sessions along with comprehensive feedback that sharpen lawyers’ advocacy skills and improve overall trial readiness.

SPH4 members

Winner

AgentFacts

By AgentFacts

Point and click anything on the internet and AgentFacts will fact-check for you within seconds. Research reveals that most people instinctively trust what’s in front of them, often without pause, AgentFacts checks for you.

E1 member

Finalist

Peazy Labs

By Peazy Labs

Peazy is an AI-first onboarding platform that conducts interactive training workshops to new employees just like a human expert. Current onboarding is passive and time-consuming with either 1. employees watch videos or read docs without real practice, leading to poor retention, low engagement, and slow ramp-up. 2. Business is paying a lot for expert led onboarding session that break their banks Peazy is for SaaS and professional teams with cost per training session at fraction of human expert costs. Additionally Peazy boosts skill retention, engagement, and measurable productivity. Peazy bridges the gap between knowing and doing, helping teams learn faster, perform better, and stay ahead in the flow of work. In short: training that actually trains you. Peazy MVP submitted is built using react+typescript, uses Speechmatics+Vapi for ASR+STT elevenlabs for TTS and Gemini 2.5 Flash as the agent brain It also has Clio as one of the workshops to demonstrate how it can train lawyers on contract management softwares

K1 member

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