AI Innovation Lab

1.14.25 -- 1.16.25

Join us for an immersive day of FinTech Programming! 

Programming

Explore AI Innovation Lab Immersive Week : Dive into industry trends, join workshops, panels, and meet startups at our Innovation Labs. Experience a week of innovation and collaboration!

Immersive Weeks

Week 1

4.01.24 - 4.04.24 [Virtual]

Week 2

4.29.24 - 5.03.24 [In-person]

Week 3

5.27.24 - 5.31.24 [Virtual]

Week 4

6.24.24 - 6.28.24 [In-person]

AI Innovation Summit

6.27.24 [Hybrid]

Join us for our capstone-like event, where you’ll have the opportunity to network, meet the 2024 Lab cohort, and explore AI through curated programming.
Our Innovation Labs Connects
Founders
Corporates
Investors
Innovation Ecosystem

AI Innovation Lab programming

Explore AI Innovation Lab Immersive Weeks: Dive into industry trends, join workshops, panels, and meet startups at our Innovation Labs. Experience a week of innovation and collaboration!

Immersive Week 3

AI Innovation Summit

Attend on 6.27.24

Focus Areas in AI for Lab 2025

Multimodal & GenAI

AI systems and techniques capable of understanding and generating content across multiple input and output formats—such as text, images, audio, and video to produce novel, context-aware experiences and solutions.

Brand Experience:

 

 AI-powered solutions that enhance customer interactions across touchpoints, combining visual, textual, and interactive elements to create personalized and engaging brand experiences

Visual-language processing:
 

Systems that understand and generate insights from combined visual and textual data, enabling applications like intelligent product recognition, visual search, and automated content analysis

Audio-text systems:
 

Solutions that bridge spoken and written communication, enabling advanced transcription, voice analytics, and conversational AI applications

Cross-modal reasoning:
 

Advanced AI systems that can draw connections and insights across different types of data (text, image, audio, sensor) to solve complex problems

Agents & Orchestration

The design and management of AI-driven software that autonomously or semi-autonomously perform tasks and make decisions, often within complex workflows or multi-agent environments. 

Intelligent Operations & Supply Chain:
 

AI-powered systems that optimize and automate complex operational processes, from manufacturing to logistics

Multi-agent systems:
 

Coordinated networks of AI agents that work together to solve complex problems, each specializing in specific tasks while collaborating toward common goals

Autonomous process execution:
 

Self-running systems that can complete entire business processes with minimal human intervention, adapting to changing conditions and requirements

Goal-driven business agents:

 

AI agents programmed to pursue specific business objectives, making decisions and taking actions to achieve desired outcomes

Trustworthy AI & Risk Management

Frameworks and technologies ensure AI systems are reliable, fair, and secure while maintaining transparency and accountability.

AI safety and security:
 

Comprehensive approaches to protect AI systems from threats while ensuring they operate safely within intended parameters

Bias detection and mitigation:
 

Tools and methodologies to identify and address biases in AI systems, promoting fair and equitable outcomes

Explainable AI solutions:
 

Technologies that make AI decision-making transparent and interpretable, enabling trust and accountability

Privacy-preserving AI techniques:
 

Methods and tools that enable AI capabilities while protecting sensitive data and maintaining privacy compliance

Enterprise AI Architecture

The design and implementation of robust, scalable frameworks that enable organizations to build, deploy, and manage AI solutions across various business units while ensuring that AI initiatives are well-aligned with business objectives and can be effectively scaled and maintained over time.

Model operations and governance:
 

Systems and practices for managing the lifecycle of AI models, from development through deployment and monitoring

System integration:
 

Technologies and methodologies for seamlessly incorporating AI capabilities into existing enterprise systems and workflows

Performance monitoring:
 

Tools and frameworks for tracking and optimizing AI system performance, ensuring reliability and efficiency

Security and access control:
 

Comprehensive security measures protecting AI systems and data while managing user access and permissions

“AI is a field that is moving very quickly, it’s complicated, there’s a lot going on, there’s different sub areas”

EIR Alex Castrounis, Founder & CEO of Why of AI, discusses the AI Innovation Lab.

Built with industry experts

Execution partner

There is a lot of buzz right now around AI for good reason. It’s rapidly advancing and being applied in very impactful ways in the real world, and it has huge transformative & disruptive potential.”

Alex Castrounis, Founder & CEO 

@ Why of AI

“AI is not just buzz. It’s revolutionizing industries, outcomes, and productivity for organizations and people worldwide. Trustworthy AI has massive potential to benefit humanity and our planet if used responsibly,” said Alex Castrounis, CEO of Why of AI. “That’s why launching our second AI Innovation Lab is so thrilling. I can’t wait to see how our new cohort’s AI-focused business leaders and solutions are solving real-world problems and making the world a better place.”

Alex Castrounis, Founder & CEO @ Why of AI

Execution partners

Anchor partners

General partners

Why AI?

This is the third innovation lab. Like any lab, the goal is to bring together startups, corporations, investors, etc., to collectively solve the biggest challenges in an industry or an emerging technology. The AI Innovation Lab focuses on how AI can be applied to solve various problems within other industries as well as what the future of AI holds.”

Rachel Feuerborn, CPO @ 1871​

Lab timeline

Programming

Week 1

4.01.24 - 4.04.24 [Virtual]

Week 2

4.29.24 - 5.03.24 [In-person]

Week 3

5.27.24 - 5.31.24 [Virtual]

Week 4

6.24.24 - 6.28.24 [In-person]

AI Innovation Summit

6.27.24 [Hybrid]

Join us for our capstone-like event, where you’ll have the opportunity to network, meet the 2024 Lab cohort, and explore AI through curated programming.

Supported by

Anchor partner

“At Discover, we strive to be the leading Digital Bank and Payments Network with a focus on Customer interactions as our #1 priority. AI helps drive insights from patterns of Customer needs in a faster, more accurate, and timely manner.”

Keith Toney, EVP / Chief Data & Analytics Officer @ Discover

At McKinsey, we accelerate sustainable and inclusive growth. We partner with bold leaders to unlock innovation, transform through digital and AI, and develop the skills and capabilities across their organization to identify a strategy that reshapes our collective future.

Satya Rao, Partner @ McKinsey & Company

General partner

Chicago Cubs Logo
How Members Get Involved

There are two steps for you to start engaging in the Innovation Lab Communities and Events:

Step 1: Self-Select & Join Innovation Lab Communities 

On the member portal, you have the power to self-select exactly which industry communities you want to be a part of. Joining tech specific Lab Industry Groups you are interested in gets you access to those member-only events and indicates to our team that you are interested in other events and opportunities in that specific industry.

 

Step 2: Start Signing Up for Innovation Lab Events! 

Take a look at all upcoming labs programming and start signing up to get engaged in the range of programing for each Industry. 

Lab Portfolio for Growth Stage Members
 

The Innovation Lab Portfolio is an exclusive opportunity for growth-stage startups in our Innovation Lab communities. As a part of the portfolio, your company will be highlighted in various ways throughout the year and prioritized for corporate and investor connection opportunities. 

Eligibility:
  1. You must be in the startup stage as defined by 1871.
  2. Your solution must align with the industry or technology focus of the lab.
  3. Submit the growth stage information form.
How 1871 Defines a Growth-Stage Startup:

If a startup meets 3 out of 6 of the following criteria they are considered a Growth Stage Company and eligible for a Lab Portfolio: 

  • 2-5 strong leaders
  • 10-50 person team and growing
  • Strong marketing definition
  • Product Market fit 
  • Compelling Traction
  • $10-$100M Valuation
Portfolio Member Benefits:

Being in the portfolio provides opportunities to be showcased throughout the year to investors, corporates, and the larger industry-specific innovation ecosystem. Being in the portfolio makes you eligible for these benefits, but does not guarantee that you get to participate in all of them. Here is a look at the showcase opportunities available to our Lab Portfolio Startups:

  • Inclusion of your profile in the industry portfolio, where your tear sheet is shared with corporates and investors interested in 1871 startups
  • Guaranteed demo table at the startup expo during that specific industry summit 
  • Exclusive access to industry-dedicated mentors and experts in residents
  • Showcase Opportunities Include: 
  • Featured in Investor showcases
  • Featured in Lightning Talks (these are events where our startups pitch to a curated audience of corporate partners) 
  • Selected for Deal Flows for corporate partners
  • Curated introductions to corporate members (based on mutual interest) 
  • Pitch in Summit Showcase

Emerging Tech Innovation Summit

AI, Web 3, and Quantum

Innovation Week
October 13-17, 2025
Innovation Summit
April 14-18, 2025