New York Stock Exchange – Enterprise AI Innovation Sprint

Overview

In partnership with the New York Stock Exchange (NYSE), NativelyAI organized a structured, intensive 72-hour AI innovation sprint aimed at accelerating enterprise-grade AI adoption.This groundbreaking event showcased the capability of major enterprises to rapidly prototype, develop, and deploy sophisticated AI-native solutions.

Impact Metrics

Fortune 500 Companies

Hour Sprint Duration

100%

Prototype Delivery Rate

Objectives

The core objective was to demonstrate that large-scale enterprises could efficiently design and launch AI-driven solutions by overcoming traditional barriers such as prolonged development cycles and fragmented teams.

Participants addressed real-world challenges across:

Finance

Supply chains

Customer intelligence

Operational efficiencies

Analytical decision-making

Participants & Structure

Participants: Ten Fortune 500 companies, supported by NYSE’s CEO, CTO, and senior executives.

Support: NativelyAI provided full-stack assistance including strategic alignment, enterprise AI Lab partners, and an AI-native platform for rapid prototyping and deployment.

Innovation Sprint Highlights

All participating teams delivered functional AI-native prototypes within the 72-hour timeframe.

Solutions included predictive analytics models, workflow automation tools, and advanced system integrations.

Prototypes were deployed into live enterprise testing environments for immediate validation.

Winning Innovations

1st Place — Team Astronomer: Project Zephyr

Description:

Zephyr is an advanced AI agent for Apache Airflow that automatically detects and resolves system failures.

Components:

API

AI agent

user interface

Capabilities:

Uses an extensive machine learning model to store, retrieve, and apply error resolution data.

Categorizes solutions into automatic, action-proposed, or informational..

2nd Place — Team Kibernum: RAGenda

Description:

An AI-powered meeting companion leveraging Cohere’s connectors ecosystem.

Capabilities:

Integrates internal resources to auto-create personalized agendas.

Enhances live meetings with chat and sentiment analysis.

Generates post-meeting reports with actionable insights.

3rd Place — Team DXC Technology: Stock-Xpert

Description:

AI-driven web application supporting investors with informed decision-making.

Capabilities:

Provides insights into stock performance, corporate news, insider transactions, and ESG activities.

Features an intuitive conversational interface.

Strategic Partners and Mentorship

The event featured essential support from:

lablab.ai

LangChain

Weaviate

Partners provided:

Technical workshops

Strategic mentorship

Hands-on prototyping guidance

Impact and Future Directions

The NYSE Enterprise AI Innovation Sprint validated a scalable and repeatable framework enabling Fortune 500 companies to dramatically accelerate AI adoption.

The sprint demonstrated:

The effectiveness of structured prototyping

The value of cross-enterprise collaboration

The ability to rapidly deploy enterprise-ready AI solutions

“This innovation sprint has demonstrated the transformative potential of structured AI prototyping events.”

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